What Data Science Jobs are in Mumbai?
Showing 134 Data Science jobs in Mumbai
AVP Marketing Data Science
Posted 5 days ago
Job Viewed
Job Description
Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At **Citi** , you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism.
**Shape your Career with Citi**
We're currently looking for a high caliber professional to join our team as **AVP - Marketing Data Science - Hybrid** (Internal Job Title:Dig Mkt Analytics Sr Analyst - C12 ) based in Mumbai, India. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:
+ Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
+ We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That's why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
+ We empower our employees to manage their financial well-being and help them plan for the future.
+ Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
+ We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.
The Media Sciences team leads the transformation of Citi's media investment and measurement, while delivering positive return on marketing investment and future-proofing our business. The team works in close partnership with US and Global Digital Media, Analytics, Acquisitions, Advertising and Product Management teams.
The AVP, Marketing Data Science is a highly experienced and senior role, and part of the larger media sciences team in the Client Org and report to the SVP Marketing Data Science. This role will primarily perform advanced analytics on data from the clean room, marketing data analytics, audience analytics, creative analysis, consumer journey, attribution and scenario planning. This pivotal role will be responsible for leading advanced analytics initiatives and developing sophisticated measurement models to optimize marketing spend and drive demonstrable business impact. The successful candidate will be a strategic thinker with deep expertise in data science, marketing analytics, and a proven track record of translating complex data into actionable insights for senior stakeholders.
**In this role, you're expected to:**
+ Hands on Implement on multiple analyses through the year on business problems across the client life cycle - acquisition, engagement, client experience and retention - for the business
+ This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call reports, email etc.) to provide data driven insights to business and functional stakeholders
+ Support the development and execution of Citi's media measurement framework, including performance reporting, attribution strategy and incrementality testing and analyses
+ Stakeholder management: Partner closely with internal stakeholders in media, adtech, product and across LOBs to help enable data driven decision making for media strategy and optimization and identify their measurement requirements.
+ Operational Excellence: Manage the attribution measurement and reporting process for all lines of business, overseeing all aspects including report QA, insights generation and sharing up to senior stakeholders
+ Presentation and Data Storytelling: Pull together insights from analysis, and be able to create presentations showing the measurement and presentation of business impact of analytical solutions
+ Calibrate media performance from across multiple data sources and reports to provide a clear media performance narrative, translating data into clear and actionable insights for senior stakeholders
+ Accountability: Own and support the development of measurement roadmap, media test and learn agenda, and advanced analytics studies for cross-channel measurement
+ Vendor Management: Cultivate and lead strategic relationships with key measurement and media vendors, driving measurement priorities and roadmap, testing in pilots. Meet with vendors and develop a deep understanding of different methodologies to help evaluate and support the development of innovative and future proof measurement solutions.
+ Thought Leadership: This role will serve as a subject matter expert in measurement - ability to speak to different measurement methodologies, measurement landscape and industry changes. Simplify complex measurement terminology into compelling narrative for senior stakeholders across the org.
**As a successful candidate, you'd ideally have the following skills and exposure:**
+ 5-8 years' experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side
+ Hands on experience working with complex structured and unstructured marketing data Predictive modeling using Machine Learning, Deep Learning/ Neural Networks across multiple projects
+ Strong understanding of core AI/ML concepts (e.g., RNN, LSTMs, LLMs, NLP) and ability to identify the optimal solution for any business case
+ Experience working with Large Language Models
+ Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, customer behavior, and market trends.
+ Build and maintain robust marketing mix models (MMM), attribution models, and other measurement frameworks to quantify the impact of marketing investments across various channels.
+ Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
+ Conduct in-depth analysis of customer segmentation, lifetime value (LTV), and churn prediction to personalize marketing efforts and improve customer retention.
+ Highly analytical, with a proven ability to distill data and numbers into business outcomes, derive and communicate strategic insights and implications for senior leadership
+ Outstanding data storytelling skills, communication, presentation, and negotiation skills, capable of influencing and engaging executive-level stakeholders across a matrixed organization.
+ Should be able to independently own and project manage workstreams involving multiple stakeholders, show strong sense of accountability and decisiveness in strong work ethic
+ Must be ready for hands on involvement in measurement to identify roadblocks and uncover solutions, operate with curiosity and is hypothesis driven
+ Must be process oriented and organized, operate efficiently to deliver high-quality work in a fast paced and dynamic environment across different teams
+ Excellent attention to detail, organization skills and strong presentation skills to senior level leadership stakeholders
+ Exceptional strategic thinking, problem-solving, and decision-making capabilities, with a focus on long-term impact.
+ Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.
+ Tools and Platforms :
+ Proficient in Python / R, Hive / SQL
+ Experience on machine learning frameworks like TensorFlow, PyTorch etc.
+ Good to have: Experience on Gen AI platforms and tools
**Education:**
+ Masters or Bachelor's degree in Business Analytics, Finance, Statistics. Advanced degree preferred
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.
**Take the next step in your career, apply for this role at Citi today**
_ Family Group:**
Marketing
---
**Job Family:**
Digital & Social Media Marketing
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
**Shape your Career with Citi**
We're currently looking for a high caliber professional to join our team as **AVP - Marketing Data Science - Hybrid** (Internal Job Title:Dig Mkt Analytics Sr Analyst - C12 ) based in Mumbai, India. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:
+ Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
+ We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That's why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
+ We empower our employees to manage their financial well-being and help them plan for the future.
+ Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
+ We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.
The Media Sciences team leads the transformation of Citi's media investment and measurement, while delivering positive return on marketing investment and future-proofing our business. The team works in close partnership with US and Global Digital Media, Analytics, Acquisitions, Advertising and Product Management teams.
The AVP, Marketing Data Science is a highly experienced and senior role, and part of the larger media sciences team in the Client Org and report to the SVP Marketing Data Science. This role will primarily perform advanced analytics on data from the clean room, marketing data analytics, audience analytics, creative analysis, consumer journey, attribution and scenario planning. This pivotal role will be responsible for leading advanced analytics initiatives and developing sophisticated measurement models to optimize marketing spend and drive demonstrable business impact. The successful candidate will be a strategic thinker with deep expertise in data science, marketing analytics, and a proven track record of translating complex data into actionable insights for senior stakeholders.
**In this role, you're expected to:**
+ Hands on Implement on multiple analyses through the year on business problems across the client life cycle - acquisition, engagement, client experience and retention - for the business
+ This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call reports, email etc.) to provide data driven insights to business and functional stakeholders
+ Support the development and execution of Citi's media measurement framework, including performance reporting, attribution strategy and incrementality testing and analyses
+ Stakeholder management: Partner closely with internal stakeholders in media, adtech, product and across LOBs to help enable data driven decision making for media strategy and optimization and identify their measurement requirements.
+ Operational Excellence: Manage the attribution measurement and reporting process for all lines of business, overseeing all aspects including report QA, insights generation and sharing up to senior stakeholders
+ Presentation and Data Storytelling: Pull together insights from analysis, and be able to create presentations showing the measurement and presentation of business impact of analytical solutions
+ Calibrate media performance from across multiple data sources and reports to provide a clear media performance narrative, translating data into clear and actionable insights for senior stakeholders
+ Accountability: Own and support the development of measurement roadmap, media test and learn agenda, and advanced analytics studies for cross-channel measurement
+ Vendor Management: Cultivate and lead strategic relationships with key measurement and media vendors, driving measurement priorities and roadmap, testing in pilots. Meet with vendors and develop a deep understanding of different methodologies to help evaluate and support the development of innovative and future proof measurement solutions.
+ Thought Leadership: This role will serve as a subject matter expert in measurement - ability to speak to different measurement methodologies, measurement landscape and industry changes. Simplify complex measurement terminology into compelling narrative for senior stakeholders across the org.
**As a successful candidate, you'd ideally have the following skills and exposure:**
+ 5-8 years' experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side
+ Hands on experience working with complex structured and unstructured marketing data Predictive modeling using Machine Learning, Deep Learning/ Neural Networks across multiple projects
+ Strong understanding of core AI/ML concepts (e.g., RNN, LSTMs, LLMs, NLP) and ability to identify the optimal solution for any business case
+ Experience working with Large Language Models
+ Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, customer behavior, and market trends.
+ Build and maintain robust marketing mix models (MMM), attribution models, and other measurement frameworks to quantify the impact of marketing investments across various channels.
+ Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
+ Conduct in-depth analysis of customer segmentation, lifetime value (LTV), and churn prediction to personalize marketing efforts and improve customer retention.
+ Highly analytical, with a proven ability to distill data and numbers into business outcomes, derive and communicate strategic insights and implications for senior leadership
+ Outstanding data storytelling skills, communication, presentation, and negotiation skills, capable of influencing and engaging executive-level stakeholders across a matrixed organization.
+ Should be able to independently own and project manage workstreams involving multiple stakeholders, show strong sense of accountability and decisiveness in strong work ethic
+ Must be ready for hands on involvement in measurement to identify roadblocks and uncover solutions, operate with curiosity and is hypothesis driven
+ Must be process oriented and organized, operate efficiently to deliver high-quality work in a fast paced and dynamic environment across different teams
+ Excellent attention to detail, organization skills and strong presentation skills to senior level leadership stakeholders
+ Exceptional strategic thinking, problem-solving, and decision-making capabilities, with a focus on long-term impact.
+ Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.
+ Tools and Platforms :
+ Proficient in Python / R, Hive / SQL
+ Experience on machine learning frameworks like TensorFlow, PyTorch etc.
+ Good to have: Experience on Gen AI platforms and tools
**Education:**
+ Masters or Bachelor's degree in Business Analytics, Finance, Statistics. Advanced degree preferred
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.
**Take the next step in your career, apply for this role at Citi today**
_ Family Group:**
Marketing
---
**Job Family:**
Digital & Social Media Marketing
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Is this job a match or a miss?
Apply Now
0
Director, Data Scientist
Posted 1 day ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, Data Scientist
Director of Data Science
Lead and scale high-impact Data Science initiatives driving Open Finance and AI-led products. Own end-to-end delivery of production-grade ML/LLM solutions, partnering closely with Product and Engineering to balance accuracy, scalability, and business impact.
* Drive strategy and execution of data science solutions across global markets
* Lead, mentor, and grow a high-performing DS team
* Deliver scalable, production-ready models and pipelines
* Align with Product/Engineering on tradeoffs and roadmap priorities
* Communicate outcomes and influence senior stakeholders
Requirements:
* 10+ years in Data Science/ML, strong leadership experience, proven track record delivering production AI/ML systems, deep expertise in modeling and scalable DS platforms.
Preferred:
* NLP expertise (including MPNet), experience with large-scale global models.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, Data Scientist
Director of Data Science
Lead and scale high-impact Data Science initiatives driving Open Finance and AI-led products. Own end-to-end delivery of production-grade ML/LLM solutions, partnering closely with Product and Engineering to balance accuracy, scalability, and business impact.
* Drive strategy and execution of data science solutions across global markets
* Lead, mentor, and grow a high-performing DS team
* Deliver scalable, production-ready models and pipelines
* Align with Product/Engineering on tradeoffs and roadmap priorities
* Communicate outcomes and influence senior stakeholders
Requirements:
* 10+ years in Data Science/ML, strong leadership experience, proven track record delivering production AI/ML systems, deep expertise in modeling and scalable DS platforms.
Preferred:
* NLP expertise (including MPNet), experience with large-scale global models.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Is this job a match or a miss?
Apply Now
1
Data Science and Analytics Mentor
Posted 5 days ago
Job Viewed
Job Description
About the Role Our client, a premier online learning platform specializing in technology and business education, is seeking an experienced Data Science and Analytics Mentor for their program based out of Thane, Maharashtra . This role is entirely remote and focuses on guiding aspiring data scientists through intensive training programs, providing personalized feedback, and facilitating their understanding of complex analytical concepts and tools. You will leverage your expertise in machine learning, statistical modeling, and data visualization to mentor learners, help them overcome challenges, and prepare them for successful careers in the data science field. This is a critical role in ensuring the quality and effectiveness of our client's data science offerings, making a tangible impact on learners worldwide. Key Responsibilities
- Provide one-on-one and group mentoring sessions to students in data science and analytics programs.
- Review student assignments, projects, and code submissions, offering detailed and constructive feedback.
- Clarify complex concepts related to statistics, machine learning algorithms, data visualization, and programming (e.g., Python, R).
- Assist students in troubleshooting technical challenges and debugging code.
- Facilitate discussions and Q&A sessions to deepen student understanding.
- Share real-world industry insights and best practices in data science.
- Monitor student progress and provide proactive support to ensure successful course completion.
- Contribute to the development of mentoring resources and best practices.
- Stay updated with the latest trends and technologies in data science and analytics.
- Maintain professional communication and set clear expectations with mentees.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, machine learning, or analytics roles.
- Proven experience in mentoring, coaching, or teaching data science concepts.
- Strong command of programming languages such as Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Expertise in statistical modeling, machine learning algorithms, data mining, and visualization techniques.
- Excellent communication, interpersonal, and problem-solving skills.
- Ability to explain technical concepts clearly and concisely to a diverse audience.
- Self-motivated and able to work independently in a remote setting.
- Prior experience with online learning platforms is a plus.
- Familiarity with the data science landscape in Maharashtra is beneficial.
Is this job a match or a miss?
Apply Now
2
Job Description
**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
**Responsibilities**
+ Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
+ Participate in the development of gen AI solutions, AI Agent development
+ Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
+ Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
+ Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
**Who You Are**
**Required Skills:**
+ Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
+ Comfortable with development of AI Agents
+ PhD or equivalent with 6-8 years of experience in the IT Industry.
+ Minimum 4 years of hands on experience Data Scientist Role or Similar role.
+ Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
+ Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
+ Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
+ Should have done 2-3 projects in domain of expertise,
+ Should have strong good knowledge of Python
+ Be fluent in English (written and spoken).
**Preferred Skills:**
+ Should have strong good knowledge of C/C+ **Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
**Responsibilities**
+ Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
+ Participate in the development of gen AI solutions, AI Agent development
+ Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
+ Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
+ Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
**Who You Are**
**Required Skills:**
+ Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
+ Comfortable with development of AI Agents
+ PhD or equivalent with 6-8 years of experience in the IT Industry.
+ Minimum 4 years of hands on experience Data Scientist Role or Similar role.
+ Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
+ Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
+ Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
+ Should have done 2-3 projects in domain of expertise,
+ Should have strong good knowledge of Python
+ Be fluent in English (written and spoken).
**Preferred Skills:**
+ Should have strong good knowledge of C/C+ **Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Is this job a match or a miss?
Apply Now
3
Data Scientist
Posted 5 days ago
Job Viewed
Job Description
Relocation Assistance Offered Within Country
Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
**What is the purpose of this role?**
This role is expected to apply strong expertise in data science and machine learning through leading data collection & mining, data analysis, data visualizations, and predictive/prescriptive modeling efforts to build, test, and maintain analytics solutions which meet key business needs. This role will work with an analytics translator, other data scientists, and key business partners to define the business problem in a way that can be solved analytically.
**Why is this exciting?**
You will lead the development of efficient and accurate analytical models (ranging from descriptive to prescriptive) and incorporate them into data products or tools which meaningfully make an impact on the business. So if you are an experienced Data Scientist passionate about collaborating with cross-functional teams, tackling real-world problems through testing and learning, have an intellectual curiosity to understand and answer questions using data, and are seeking a work environment that fuels learning, all while making a significant impact in oral care, we strongly encourage you to apply.
**What would be the responsibilities for this role?**
+ Lead multifaceted analytic studies against large and small volumes of data for a variety of problems including projections, classifications, clustering, pattern analysis, simulations and more with junior data scientists
+ Co-develop an analytics roadmap for the business domain to which you are assigned
+ Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results
+ Integrate data science work into user-facing applications and tools with data engineers, business leads, analysts and developers
+ Build, deploy, maintain, and refresh end-to-end, repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
+ Identify and/or create new data as needed for use cases with limited data
+ Work with data engineers to clean, massage, and organize data and to define data assets, eg, data models
+ Lead the creation of analytical (e.g., code libraries & ML architecture) and data (e.g., external or partnership based data) assets
+ Where needed, generate experiments on data using the scientific method, story-tell experimental results, and provide previously undiscovered solutions to data challenges
+ Be the expert in the room on industry and field trends to push analytic builds towards best practices and state-of-art, as needed
+ Effectively communicate the analytics approach and how it will meet and address objectives to business partners
+ Explain principles and approaches to business partners and senior management in a non-technical manner
**What does the ideal candidate profile look like?**
+ **Required:**
+ Atleast 3yrs+ work experience in any FMCG / CPG oragnisation
+ Academics: Bachelors Degree in Data Science, Mathematics, Computer Science, Engineering, Statistics, Econometrics or other related fields
+ Minimum 6+ years' experience in programming Languages - Python, R
+ **Preferred**
+ Academics: PhD/Masters
+ Use case experience with demonstrated success in the sales analytics/ eCommerce domain
**What are the functional competencies required for this role?**
+ SQL implementations (PostgreSQL, MySQL, Oracle, DB2)
+ Proven experience in translating business challenges into data pipelines & model framework
+ Demonstrated expertise with supervised and unsupervised modeling- including regressions, classifications, feature selection, clustering, decision tree/forest learning, SVM, ensembling & stacking, dimensionality reduction and more
+ Fundamental understanding of Bayesian statistics and causal inference
+ Strong proficiency in NLP (natural language processing)
+ Expertise with data visualization techniques & tools such as Plotly, matplotlib, ggplot2, etc, Shiny, Dash, Tableau, etc
+ Demonstrated experience with large datasets and distributed computing (eg Spark)
+ Demonstrated experience with statistical tools or packages (eg SciKit) and ML frameworks (eg TensorFlow / PyTorch)
+ Proficiency or familiarity with relevant database/data engineering needs including:
+ Real-time data processing frameworks
+ Metadata systems
+ Data pipeline monitoring systems
+ SQL implementations (PostgreSQL, MySQL, Oracle, DB2)
+ ETL/ELT techniques, especially on cloud infrastructure (eg Google Cloud Platform)
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
\#LI-Hybrid
Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
**What is the purpose of this role?**
This role is expected to apply strong expertise in data science and machine learning through leading data collection & mining, data analysis, data visualizations, and predictive/prescriptive modeling efforts to build, test, and maintain analytics solutions which meet key business needs. This role will work with an analytics translator, other data scientists, and key business partners to define the business problem in a way that can be solved analytically.
**Why is this exciting?**
You will lead the development of efficient and accurate analytical models (ranging from descriptive to prescriptive) and incorporate them into data products or tools which meaningfully make an impact on the business. So if you are an experienced Data Scientist passionate about collaborating with cross-functional teams, tackling real-world problems through testing and learning, have an intellectual curiosity to understand and answer questions using data, and are seeking a work environment that fuels learning, all while making a significant impact in oral care, we strongly encourage you to apply.
**What would be the responsibilities for this role?**
+ Lead multifaceted analytic studies against large and small volumes of data for a variety of problems including projections, classifications, clustering, pattern analysis, simulations and more with junior data scientists
+ Co-develop an analytics roadmap for the business domain to which you are assigned
+ Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results
+ Integrate data science work into user-facing applications and tools with data engineers, business leads, analysts and developers
+ Build, deploy, maintain, and refresh end-to-end, repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
+ Identify and/or create new data as needed for use cases with limited data
+ Work with data engineers to clean, massage, and organize data and to define data assets, eg, data models
+ Lead the creation of analytical (e.g., code libraries & ML architecture) and data (e.g., external or partnership based data) assets
+ Where needed, generate experiments on data using the scientific method, story-tell experimental results, and provide previously undiscovered solutions to data challenges
+ Be the expert in the room on industry and field trends to push analytic builds towards best practices and state-of-art, as needed
+ Effectively communicate the analytics approach and how it will meet and address objectives to business partners
+ Explain principles and approaches to business partners and senior management in a non-technical manner
**What does the ideal candidate profile look like?**
+ **Required:**
+ Atleast 3yrs+ work experience in any FMCG / CPG oragnisation
+ Academics: Bachelors Degree in Data Science, Mathematics, Computer Science, Engineering, Statistics, Econometrics or other related fields
+ Minimum 6+ years' experience in programming Languages - Python, R
+ **Preferred**
+ Academics: PhD/Masters
+ Use case experience with demonstrated success in the sales analytics/ eCommerce domain
**What are the functional competencies required for this role?**
+ SQL implementations (PostgreSQL, MySQL, Oracle, DB2)
+ Proven experience in translating business challenges into data pipelines & model framework
+ Demonstrated expertise with supervised and unsupervised modeling- including regressions, classifications, feature selection, clustering, decision tree/forest learning, SVM, ensembling & stacking, dimensionality reduction and more
+ Fundamental understanding of Bayesian statistics and causal inference
+ Strong proficiency in NLP (natural language processing)
+ Expertise with data visualization techniques & tools such as Plotly, matplotlib, ggplot2, etc, Shiny, Dash, Tableau, etc
+ Demonstrated experience with large datasets and distributed computing (eg Spark)
+ Demonstrated experience with statistical tools or packages (eg SciKit) and ML frameworks (eg TensorFlow / PyTorch)
+ Proficiency or familiarity with relevant database/data engineering needs including:
+ Real-time data processing frameworks
+ Metadata systems
+ Data pipeline monitoring systems
+ SQL implementations (PostgreSQL, MySQL, Oracle, DB2)
+ ETL/ELT techniques, especially on cloud infrastructure (eg Google Cloud Platform)
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
\#LI-Hybrid
Is this job a match or a miss?
Apply Now
4
Job Description
Job Location
MUMBAI GENERAL OFFICE
Job Description
Overview
P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and visible, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
Dedication from Us: You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.
What we Offer: Continuous mentorship - you will collaborate with peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and encouraging work environment- employees are at the center, we value every individual and support initiative, promoting agility and work/life balance.
What Success Looks Like
As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes.
+ R esearch, design, and customize algorithms tailored to various problems and data types.
+ Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), contribute to the development of scalable Data Science algorithms.
+ I ntegrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities.
+ C ollaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights.
+ M entor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.
What we offer you
+ Responsibilities from Day 1 - You will start of working on key brands from the beginning. Over time, as you expand your impact on the business, your responsibility and ownership of a brand will quickly grow.
+ Recognized state of the art marketing skills - We will constantly help you improve your marketing knowledge and management abilities.
+ Continuous mentorship- We are passionate about our work. We will make sure you receive both formal training and regular mentorship from your manager and others.
+ Dynamic and respectful work environment - We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.
+ A strong pedigree - Majority of our General Managers and CEOs come through Brand Management. And you will be the next.
Your team
You and other Data Scientists will report to Data Science Director . You would be partnering with domain experts in different business units , understanding the problem, designing solution trajectories, solving the problem, innovating new capabilities, and collaborating with Data and AI Engineering teams to translate your efforts into robust, scaled, and reliable solutions .
Responsibilities of the role
We need someone who can:
+ Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
+ Collaboration: Work closely with Data and AI Engineering teams to effectively productionize algorithms.
+ Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
+ Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
+ Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies
ABOUT US
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.Visit to know more.
We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
Job Qualifications
Required Qualifications
+ Education: Bachelor's, Master's, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.)
+ Experience: 2- 4 years of relevant work experience.
+ Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch , TensorFlow/ Keras , and Pandas. Demonstrated ability to develop and test code within cloud environments.
+ Communication: Strong written and verbal communication skills, with the ability to influence others to take action .
Preferred Qualifications
+ Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
+ Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
+ Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
+ DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices.
Job Schedule
Full time
Job Number
R
Job Segmentation
Experienced Professionals
MUMBAI GENERAL OFFICE
Job Description
Overview
P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and visible, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
Dedication from Us: You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.
What we Offer: Continuous mentorship - you will collaborate with peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and encouraging work environment- employees are at the center, we value every individual and support initiative, promoting agility and work/life balance.
What Success Looks Like
As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes.
+ R esearch, design, and customize algorithms tailored to various problems and data types.
+ Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), contribute to the development of scalable Data Science algorithms.
+ I ntegrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities.
+ C ollaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights.
+ M entor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.
What we offer you
+ Responsibilities from Day 1 - You will start of working on key brands from the beginning. Over time, as you expand your impact on the business, your responsibility and ownership of a brand will quickly grow.
+ Recognized state of the art marketing skills - We will constantly help you improve your marketing knowledge and management abilities.
+ Continuous mentorship- We are passionate about our work. We will make sure you receive both formal training and regular mentorship from your manager and others.
+ Dynamic and respectful work environment - We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.
+ A strong pedigree - Majority of our General Managers and CEOs come through Brand Management. And you will be the next.
Your team
You and other Data Scientists will report to Data Science Director . You would be partnering with domain experts in different business units , understanding the problem, designing solution trajectories, solving the problem, innovating new capabilities, and collaborating with Data and AI Engineering teams to translate your efforts into robust, scaled, and reliable solutions .
Responsibilities of the role
We need someone who can:
+ Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
+ Collaboration: Work closely with Data and AI Engineering teams to effectively productionize algorithms.
+ Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
+ Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
+ Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies
ABOUT US
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.Visit to know more.
We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
Job Qualifications
Required Qualifications
+ Education: Bachelor's, Master's, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.)
+ Experience: 2- 4 years of relevant work experience.
+ Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch , TensorFlow/ Keras , and Pandas. Demonstrated ability to develop and test code within cloud environments.
+ Communication: Strong written and verbal communication skills, with the ability to influence others to take action .
Preferred Qualifications
+ Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
+ Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
+ Data Handling & Cloud: Experience with large datasets and developing in cloud computing platforms such as GCP or Azure.
+ DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices.
Job Schedule
Full time
Job Number
R
Job Segmentation
Experienced Professionals
Is this job a match or a miss?
Apply Now
5
Senior Applied Data Scientist
Posted 5 days ago
Job Viewed
Job Description
**Our company:**
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
**What You'll Do**
**In this role you will.**
+ Define evaluation frameworks for AI agents (precision, recall, correctness, robustness)
+ Perform error analysis on AI outputs (SQL generation, mappings, data products)
+ Build and curate training and evaluation datasets (golden sets, edge cases, benchmarks)
+ Design and tune model/prompt strategies for improving agent performance
+ Establish quality metrics for:
+ Data quality agents
+ Data modeler / engineer agents
+ Mapping and enrichment workflows
+ Analyze and validate AI-generated artifacts:
+ SQL queries
+ Data models
+ Data product outputs
+ Collaborate with AI Engineers to close the loop between evaluation → improvement
**Who You'll Work With**
**On our team, we.**
+ Are part of Teradata's global engineering organization, responsible for building the technologies that power **VantageCloud** , our unified data and AI platform.
+ Operate at the intersection of cloud computing, advanced analytics, and AI-driven automation to help enterprises unify and analyze data across hybrid and multi-cloud environments.
+ Solve highly complex challenges in scalability, performance, interoperability, and intelligent automation to enable customers to turn data into insights and innovation.
+ Collaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.
+ This position reports into the Knowledge & Autonomous Platform engineering leadership team within Teradata's global engineering organization.
**What Makes You a Qualified Candidate**
+ Experience building and leading a data science team
+ Proven experience designing and evaluating AI/LLM-based systems, including agent-driven workflows
+ Experience building or contributing to agent-based architectures or AI-enabled systems
+ Hands-on experience implementing governance, safety, and quality controls in AI environments
+ Strong ability to collaborate with product leaders, architects, and engineering teams to define enterprise-grade AI capabilities
+ Proficiency in Python Experience with ML/NLP or LLM evaluation workflows
+ Strong understanding of:
+ precision / recall / F1 / ranking metrics
+ statistical validation and experimentation
+ Strong foundation in:
+ Machine Learning (ML)
+ Deep Learning (DL)
+ Deep/Reinforcement Learning (D/RL)
+ Applied Data Science
+ Strong knowledge of:
+ statistics
+ statistical inference
+ probability and data analysis concepts
+ Experience building evaluation datasets and benchmarks
+ Ability to:
+ debug model behavior
+ identify failure modes
+ Strong Python + data analysis skills
+ Experience with SQL and data systems
**What You'll Bring**
+ Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
+ 3-5+ years of hands-on experience
+ Strong proficiency in Python and experience working with data-intensive systems
+ Experience working with modern AI/LLM ecosystems (e.g., prompt engineering, evaluation workflows, or agent tooling)
+ Familiarity with distributed systems and cloud-native environments (AWS, Azure, or GCP)
+ Strong SQL skills and the ability to understand and trace complex data transformations
+ Hands-on experience with data modeling, data quality, and data lineage concepts
+ Familiarity with modern data transformation tools (e.g., dbt) and governed analytics layers
+ Understanding of metadata management and enterprise data governance practices
+ Strong communication skills and the ability to collaborate across engineering, data, and product teams
+ Passion for building trusted, high-quality, and well-governed data foundations for AI systems
**\#LI-PG1**
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
**What You'll Do**
**In this role you will.**
+ Define evaluation frameworks for AI agents (precision, recall, correctness, robustness)
+ Perform error analysis on AI outputs (SQL generation, mappings, data products)
+ Build and curate training and evaluation datasets (golden sets, edge cases, benchmarks)
+ Design and tune model/prompt strategies for improving agent performance
+ Establish quality metrics for:
+ Data quality agents
+ Data modeler / engineer agents
+ Mapping and enrichment workflows
+ Analyze and validate AI-generated artifacts:
+ SQL queries
+ Data models
+ Data product outputs
+ Collaborate with AI Engineers to close the loop between evaluation → improvement
**Who You'll Work With**
**On our team, we.**
+ Are part of Teradata's global engineering organization, responsible for building the technologies that power **VantageCloud** , our unified data and AI platform.
+ Operate at the intersection of cloud computing, advanced analytics, and AI-driven automation to help enterprises unify and analyze data across hybrid and multi-cloud environments.
+ Solve highly complex challenges in scalability, performance, interoperability, and intelligent automation to enable customers to turn data into insights and innovation.
+ Collaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.
+ This position reports into the Knowledge & Autonomous Platform engineering leadership team within Teradata's global engineering organization.
**What Makes You a Qualified Candidate**
+ Experience building and leading a data science team
+ Proven experience designing and evaluating AI/LLM-based systems, including agent-driven workflows
+ Experience building or contributing to agent-based architectures or AI-enabled systems
+ Hands-on experience implementing governance, safety, and quality controls in AI environments
+ Strong ability to collaborate with product leaders, architects, and engineering teams to define enterprise-grade AI capabilities
+ Proficiency in Python Experience with ML/NLP or LLM evaluation workflows
+ Strong understanding of:
+ precision / recall / F1 / ranking metrics
+ statistical validation and experimentation
+ Strong foundation in:
+ Machine Learning (ML)
+ Deep Learning (DL)
+ Deep/Reinforcement Learning (D/RL)
+ Applied Data Science
+ Strong knowledge of:
+ statistics
+ statistical inference
+ probability and data analysis concepts
+ Experience building evaluation datasets and benchmarks
+ Ability to:
+ debug model behavior
+ identify failure modes
+ Strong Python + data analysis skills
+ Experience with SQL and data systems
**What You'll Bring**
+ Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
+ 3-5+ years of hands-on experience
+ Strong proficiency in Python and experience working with data-intensive systems
+ Experience working with modern AI/LLM ecosystems (e.g., prompt engineering, evaluation workflows, or agent tooling)
+ Familiarity with distributed systems and cloud-native environments (AWS, Azure, or GCP)
+ Strong SQL skills and the ability to understand and trace complex data transformations
+ Hands-on experience with data modeling, data quality, and data lineage concepts
+ Familiarity with modern data transformation tools (e.g., dbt) and governed analytics layers
+ Understanding of metadata management and enterprise data governance practices
+ Strong communication skills and the ability to collaborate across engineering, data, and product teams
+ Passion for building trusted, high-quality, and well-governed data foundations for AI systems
**\#LI-PG1**
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Is this job a match or a miss?
Apply Now
6
Data Scientist- Air Quality
Posted 5 days ago
Job Viewed
Job Description
We are seeking a talented Data Scientist with competency in Data Engineering capabilities to design, build, and deploy some advanced analytical solutions across a range of environmental sectors. This role is ideal for a professional who can develop machine learning models, support the engineering of robust data pipelines, and contribute to the broader technical architecture.
The successful candidate will be able to apply analytical techniques, work with complex and large-scale datasets, collaborate with cross-functional teams, and support the development of high-quality data infrastructure enabling reliable, scalable data-driven decision-making.
WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.
With approximately **4,000 talented people** across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than **73,000 globally** , in 550 **offices across 40 countries** , we engineer projects that will help societies grow for lifetimes to come.
At "WSP" we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: **Our People, Our Clients, Our Operational Excellence and Our Expertise.**
** are**
+ Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
+ A collaborative team that thrives on challenges and unconventional thinking.
+ A network of experts channeling our curiosity into creating solutions for complex issues.
**_Inspired by diversity, driven by inclusion, we work with passion and purpose._**
**Working with Us**
At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
**Our Hybrid Working Module**
With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.
+ Maximize collaboration.
+ Maintain product quality and cultural integrity.
+ Balance community, collaboration, opportunity, productivity, and efficiency.
**Health, Safety and Wellbeing**
Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our "Making Health and Safety Personal" initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.
**Inclusivity and Diversity**
WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.
**Imagine a better future for you and a better future for us all.**
Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.
**With us, you can.**
**Apply today.**
**NOTICE TO THIRD PARTY AGENCIES:**
_WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation - no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service._
Data Science & Advanced Analytics
- Build, validate, and deploy sophisticated predictive and statistical models using modern Python-based libraries. (e.g., scikit-learn, TensorFlow, PyTorch)
- Conduct exploratory data analysis, statistical modelling, hypothesis testing, and insight generation to support strategic business decisions.
- Develop high-quality, interpretable data visualisations using Matplotlib, Seaborn, and similar tools.
- Translate complex analytical outcomes into clear, actionable insights for both technical and non-technical stakeholders.
Data Engineering & Pipeline Development
- Design and implement robust, scalable data orchestration pipelines using tools such as Airflow or Dagster.
- Work with big data technologies (Spark, Hadoop, Dask) to process and analyse large-scale datasets efficiently.
- Define and implement data models using ER diagrams, normalisation techniques (e.g., star schema, Snowflake), and modern ORM frameworks (e.g., SQLAlchemy).
- Provision, administer, and optimise relational databases, including schema design, indexing, and access management.
- Build high-performance APIs using frameworks such as FastAPI or Flask, following best RESTful design practices.
Software Engineering and DevOps Integration
- Develop modular, maintainable, object-oriented Python code using best practice design patterns and testing practices (CI/CD, unit tests, code reviews).
- Containerise and deploy applications using Docker and Kubernetes; support infrastructure provisioning through Infrastructure-as-Code tools (e.g., Terraform, Ansible).
- Contribute to system architecture discussions, microservices design, and integration with cloud platforms notably Azure.
Collaboration and Leadership
- Work collaboratively across technical and non-technical teams to embed data-driven decision-making.
- Support large-scale analytical or data engineering projects, adherence to best practices in code quality, reproducibility, and documentation.
- Shape AI use cases with internal stakeholders and, where needed, client counterparts (problem framing, value hypothesis, data readiness, and delivery roadmap), and communicate trade-offs clearly.
Essential Technical Skills and Experience
- Python programming expertise, including functions, classes, modules, packages, and advanced OOP features.
- Solid statistical knowledge (degree-level or equivalent).
- Demonstrable experience in machine learning model development and evaluation.
- Proficiency with relational databases and database design.
- Experience designing and maintaining data pipelines and big-data processing workflows.
- Familiarity with containerisation, Kubernetes, CI/CD, and cloud infrastructure.
- Experience deploying models and data pipelines into production environments.
- Good understanding of data modelling, APIs, and software engineering best practices.
Professional Competencies
- Strong problem-solving ability, capable of resolving ambiguous or complex analytical challenges.
- Ability to communicate complex technical topics clearly to diverse stakeholders.
- Advocates for high-quality software development practices.
- Comfortable mentoring team members and leading aspects of project delivery.
- Ability to collaborate with cross-functional teams.
Desirable Skills
- Experience with microservice architectures.
- Knowledge of cloud cost optimisation and resource management.
- Ability to configure and interpret monitoring and alerting systems.
- Familiarity with data ethics, governance, and privacy best practices.
- Some background in developing LLM, generative AI and Responsible AI based solutions
+ Bachelor's/master's degree in a quantitative field (e.g., Mathematics, Computer Science, Engineering, Economics, Data Science) or equivalent industry experience.
+ Evidence of continued professional development in data science, data engineering, or cloud technologies.
BGV:
+ Employment with WSP India is subject to the successful completion of a background verification ("BGV") check conducted by a third-party agency appointed by WSP India.
+ Candidates are advised to ensure that all information provided during the recruitment process - including documents uploaded - is accurate and complete, both to WSP India and its BGV partner".
The successful candidate will be able to apply analytical techniques, work with complex and large-scale datasets, collaborate with cross-functional teams, and support the development of high-quality data infrastructure enabling reliable, scalable data-driven decision-making.
WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.
With approximately **4,000 talented people** across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than **73,000 globally** , in 550 **offices across 40 countries** , we engineer projects that will help societies grow for lifetimes to come.
At "WSP" we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: **Our People, Our Clients, Our Operational Excellence and Our Expertise.**
** are**
+ Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
+ A collaborative team that thrives on challenges and unconventional thinking.
+ A network of experts channeling our curiosity into creating solutions for complex issues.
**_Inspired by diversity, driven by inclusion, we work with passion and purpose._**
**Working with Us**
At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
**Our Hybrid Working Module**
With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.
+ Maximize collaboration.
+ Maintain product quality and cultural integrity.
+ Balance community, collaboration, opportunity, productivity, and efficiency.
**Health, Safety and Wellbeing**
Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our "Making Health and Safety Personal" initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.
**Inclusivity and Diversity**
WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.
**Imagine a better future for you and a better future for us all.**
Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.
**With us, you can.**
**Apply today.**
**NOTICE TO THIRD PARTY AGENCIES:**
_WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation - no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service._
Data Science & Advanced Analytics
- Build, validate, and deploy sophisticated predictive and statistical models using modern Python-based libraries. (e.g., scikit-learn, TensorFlow, PyTorch)
- Conduct exploratory data analysis, statistical modelling, hypothesis testing, and insight generation to support strategic business decisions.
- Develop high-quality, interpretable data visualisations using Matplotlib, Seaborn, and similar tools.
- Translate complex analytical outcomes into clear, actionable insights for both technical and non-technical stakeholders.
Data Engineering & Pipeline Development
- Design and implement robust, scalable data orchestration pipelines using tools such as Airflow or Dagster.
- Work with big data technologies (Spark, Hadoop, Dask) to process and analyse large-scale datasets efficiently.
- Define and implement data models using ER diagrams, normalisation techniques (e.g., star schema, Snowflake), and modern ORM frameworks (e.g., SQLAlchemy).
- Provision, administer, and optimise relational databases, including schema design, indexing, and access management.
- Build high-performance APIs using frameworks such as FastAPI or Flask, following best RESTful design practices.
Software Engineering and DevOps Integration
- Develop modular, maintainable, object-oriented Python code using best practice design patterns and testing practices (CI/CD, unit tests, code reviews).
- Containerise and deploy applications using Docker and Kubernetes; support infrastructure provisioning through Infrastructure-as-Code tools (e.g., Terraform, Ansible).
- Contribute to system architecture discussions, microservices design, and integration with cloud platforms notably Azure.
Collaboration and Leadership
- Work collaboratively across technical and non-technical teams to embed data-driven decision-making.
- Support large-scale analytical or data engineering projects, adherence to best practices in code quality, reproducibility, and documentation.
- Shape AI use cases with internal stakeholders and, where needed, client counterparts (problem framing, value hypothesis, data readiness, and delivery roadmap), and communicate trade-offs clearly.
Essential Technical Skills and Experience
- Python programming expertise, including functions, classes, modules, packages, and advanced OOP features.
- Solid statistical knowledge (degree-level or equivalent).
- Demonstrable experience in machine learning model development and evaluation.
- Proficiency with relational databases and database design.
- Experience designing and maintaining data pipelines and big-data processing workflows.
- Familiarity with containerisation, Kubernetes, CI/CD, and cloud infrastructure.
- Experience deploying models and data pipelines into production environments.
- Good understanding of data modelling, APIs, and software engineering best practices.
Professional Competencies
- Strong problem-solving ability, capable of resolving ambiguous or complex analytical challenges.
- Ability to communicate complex technical topics clearly to diverse stakeholders.
- Advocates for high-quality software development practices.
- Comfortable mentoring team members and leading aspects of project delivery.
- Ability to collaborate with cross-functional teams.
Desirable Skills
- Experience with microservice architectures.
- Knowledge of cloud cost optimisation and resource management.
- Ability to configure and interpret monitoring and alerting systems.
- Familiarity with data ethics, governance, and privacy best practices.
- Some background in developing LLM, generative AI and Responsible AI based solutions
+ Bachelor's/master's degree in a quantitative field (e.g., Mathematics, Computer Science, Engineering, Economics, Data Science) or equivalent industry experience.
+ Evidence of continued professional development in data science, data engineering, or cloud technologies.
BGV:
+ Employment with WSP India is subject to the successful completion of a background verification ("BGV") check conducted by a third-party agency appointed by WSP India.
+ Candidates are advised to ensure that all information provided during the recruitment process - including documents uploaded - is accurate and complete, both to WSP India and its BGV partner".
Is this job a match or a miss?
Apply Now
7
Senior Data Scientist I
Posted 5 days ago
Job Viewed
Job Description
Would you like to be part of a team that delivers high-quality software to our customers?
Are you a visible champion with a 'can do' attitude and enthusiasm that inspires others?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Team
You'll join a collaborative squad that includes a Squad Lead, Business Analyst, Development Lead, Developers, and Testers. Our squad model encourages teamwork, shared responsibility, and efficient delivery-everyone contributes to achieving a common goal.
About the Role
Y ou will join the Data S cience team within the Brightmine ProdTech organization. The team builds AI ‑ and Generative AI ‑ driven capabilities for Brightmine's client ‑ facing products. These products support HR teams across the US, UK, and the Netherlands in solving practical, real ‑ world challenges.
In this role, you will apply Machine Learning (ML), statistical methods, and Large Language Models (LLMs) to design, build, and deliver solutions that are used in real products. You will work end ‑ to ‑ end-from understanding the problem and experimenting with ideas through to deploying and maintaining solutions in production.
You will collaborate closely with a distributed, cross ‑ functional team of data scientists, software engineers, and product partners based in the US, UK, India, and the Netherland
Responsibilities:
+ 5+ years of relevance experience
+ Own data science work from problem definition through experimentation and deployment in production environments.
+ Develop ML, analytics, and AI or GenAI features that support Brightmine's client ‑ facing products.
+ Apply ML, statistical, and LLM ‑ based approaches to create solutions that are practical, scalable, and aligned with business needs.
+ Design and run data ‑ driven experiments, using evidence and outcomes to guide technical and product decisions.
+ Write production ‑ quality Python code and contribute to shared GitHub repositories, with a focus on clarity, reliability, and maintainability.
+ Share insights, trade ‑ offs, and recommendations clearly with partners across product , engineering, and leadership.
+ Contribute to and continuously improve team data science practices.
Requirements:
+ Applied experience using machine learning, statistical methods, and/or LLM ‑ based techniques to solve real ‑ world problems.
+ A solid foundation in ML, statistics, and modern AI approaches, such as prompt ‑ based methods and retrieval ‑ augmented techniques.
+ Experience writing Python code used in production systems.
+ Hands ‑ on experience with Python ‑ based ML and LLM libraries.
+ Familiarity with concepts such as AI agents, vector databases, semantic search, or retrieval ‑ augmented generation (desirable but not required ).
Learn more about the LexisNexis Risk team and how we work ( know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here ( to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Are you a visible champion with a 'can do' attitude and enthusiasm that inspires others?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, the Team
You'll join a collaborative squad that includes a Squad Lead, Business Analyst, Development Lead, Developers, and Testers. Our squad model encourages teamwork, shared responsibility, and efficient delivery-everyone contributes to achieving a common goal.
About the Role
Y ou will join the Data S cience team within the Brightmine ProdTech organization. The team builds AI ‑ and Generative AI ‑ driven capabilities for Brightmine's client ‑ facing products. These products support HR teams across the US, UK, and the Netherlands in solving practical, real ‑ world challenges.
In this role, you will apply Machine Learning (ML), statistical methods, and Large Language Models (LLMs) to design, build, and deliver solutions that are used in real products. You will work end ‑ to ‑ end-from understanding the problem and experimenting with ideas through to deploying and maintaining solutions in production.
You will collaborate closely with a distributed, cross ‑ functional team of data scientists, software engineers, and product partners based in the US, UK, India, and the Netherland
Responsibilities:
+ 5+ years of relevance experience
+ Own data science work from problem definition through experimentation and deployment in production environments.
+ Develop ML, analytics, and AI or GenAI features that support Brightmine's client ‑ facing products.
+ Apply ML, statistical, and LLM ‑ based approaches to create solutions that are practical, scalable, and aligned with business needs.
+ Design and run data ‑ driven experiments, using evidence and outcomes to guide technical and product decisions.
+ Write production ‑ quality Python code and contribute to shared GitHub repositories, with a focus on clarity, reliability, and maintainability.
+ Share insights, trade ‑ offs, and recommendations clearly with partners across product , engineering, and leadership.
+ Contribute to and continuously improve team data science practices.
Requirements:
+ Applied experience using machine learning, statistical methods, and/or LLM ‑ based techniques to solve real ‑ world problems.
+ A solid foundation in ML, statistics, and modern AI approaches, such as prompt ‑ based methods and retrieval ‑ augmented techniques.
+ Experience writing Python code used in production systems.
+ Hands ‑ on experience with Python ‑ based ML and LLM libraries.
+ Familiarity with concepts such as AI agents, vector databases, semantic search, or retrieval ‑ augmented generation (desirable but not required ).
Learn more about the LexisNexis Risk team and how we work ( know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here ( to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Is this job a match or a miss?
Apply Now
8
Senior Data Science Educator
Posted 5 days ago
Job Viewed
Job Description
About the Role Our client, a leading educational technology provider, is seeking an exceptionally talented and experienced Senior Data Science Educator to join their dynamic team in Mumbai, Maharashtra, IN . This pivotal role involves shaping the future of data science education, developing cutting-edge curriculum, and inspiring the next generation of data professionals. The ideal candidate will possess a deep understanding of data science principles, a passion for teaching, and the ability to translate complex concepts into engaging learning experiences. This is a unique opportunity to make a significant impact in a rapidly growing field and contribute to the academic and professional development of countless students. We are looking for an individual who thrives in a collaborative environment and is committed to fostering a culture of learning and innovation. The position requires a blend of theoretical knowledge and practical application, ensuring that our educational programs remain relevant and impactful in the industry. The candidate will be instrumental in designing and delivering content that meets the evolving demands of the data science landscape, preparing learners for success in diverse roles. Key Responsibilities
- Develop and deliver comprehensive, engaging curriculum for data science courses, covering topics such as machine learning, statistical modeling, data visualization, and big data technologies.
- Design and implement effective teaching methodologies, including lectures, workshops, practical labs, and project-based learning activities.
- Create and maintain high-quality educational materials, including course syllabi, presentations, assignments, and assessments.
- Provide academic guidance and mentorship to students, offering support for their learning journey and career aspirations.
- Stay abreast of the latest trends and advancements in data science and educational technologies, integrating new insights into the curriculum.
- Collaborate with curriculum development teams, subject matter experts, and instructional designers to ensure program quality and alignment with industry standards.
- Assess student performance, provide constructive feedback, and track progress towards learning objectives.
- Contribute to the continuous improvement of educational programs through feedback analysis and pedagogical innovation.
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in teaching or training in data science, machine learning, or artificial intelligence at the university or professional development level.
- Proven expertise in statistical analysis, machine learning algorithms (e.g., regression, classification, clustering), deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (Python, R).
- Strong understanding of data visualization tools and techniques (e.g., Tableau, Matplotlib, Seaborn).
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences.
- Demonstrated ability to design and develop engaging and effective educational content.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is a plus.
- Passion for education and a commitment to student success.
- Ability to work independently and as part of a collaborative team in a fast-paced environment.
- Familiarity with online learning platforms and methodologies.
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9