What Data Scientist Jobs are in Mumbai?

**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.

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 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

**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.

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".

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.

Description
About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across ISV/DNB sectors. This individual contributor role requires deep AI/ML expertise, executive presence, and proven sales success. You'll engage C-level executives (CEOs, CTOs, CAIOs, CFOs, line of business owners) to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation.
Key requirement: Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation, as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support for Level 300+ deep dives.
Key job responsibilities
Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focussed Executive Briefing Centers, board presentations, and strategic planning workshops.
Drive adoption of AWS full stack AI services (incl., but not limited to Amazon Bedrock, SageMaker, Amazon Q, Trainium / Inferentia etc.). Focus on Generative AI and Agentic AI as priority areas. Articulate business value from infrastructure (custom silicon) to applications; and position AWS AI services differentiation across aspects of model choice, security, cost optimization, responsible AI etc.
Solution Design & Sales Execution: Structure C-suite conversations on business outcomes that can be delivered using AI. Identify high-value industry-aligned use cases. Develop compelling business cases with quantified ROI and time-to-value. Own revenue targets for AI/ML services for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots demonstrating AWS AI services
Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience engaging and influencing C-level executives, both business and technical
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience communicating results to senior leadership
- Work experience: 10+ years sales or pre-sales experience in Data/Analytics/AI-ML/Digital Transformation in ISV/DNB sector with last couple of years in AI aligned roles.
- Technical Expertise: Proven experience in sales and/or practitioner roles across end-to-end AI value chain incl. LLMs, foundation models, RAG, model fine-tuning, ML Ops and AI infrastructure (GPUs, custom silicon and accelerated compute).
- Strong communication skills (simplify complex AI concepts for diverse audiences).
Preferred Qualifications
- MBA, or Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- AWS certification
- Experience working as AI Practice lead or AI Solution Lead.
- Work experience in ISV/DNB sector with Hyperscalers, Strategy Consulting, Technology consulting arm of Big 4, AI consulting/services firms, GSIs, GCCs, ISVs.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
Kyndryl Consult is the fastest growing business within the organization and instrumental to the company's strategic growth objectives. You will play a key leadership role across multi-disciplinary teams, guiding them through complex consulting engagements and be responsible for creating and positioning strategic change agendas within Kyndryl's largest accounts across the C-suite, spanning the intersection between complex Business and IT customer solutions, transformations that impact across the entire customer Eco-system.
As a Data & AI Consult Partner, you will have a pivotal role in driving profitable growth, leveraging our comprehensive capabilities to build strong client relationships, and leading your team to success. This role demands a strong presence, industry expertise, and the ability to cultivate relationships with CXO-level clients. Your leadership will be critical in fostering talent development and innovation within the organization.
This role of will also be leading the overall client engagement and delivering high quality client work alongside senior client stakeholders. Working in a transaction environment which may be pre or post deal, planning post deal implementation, and ultimately supporting execution. Partners will be focused on financial impact, utilization and contribution, client impact and leadership.
Contribute to Profitable Growth:
-Drive significant financial outcomes through signings and revenue targets
-Ensure sustained growth and profitability, managing margin expectations and backlog growth
-Support the identification, pursuit and conversion of a pipeline of business development opportunities
-Undertake scoping and fee negotiation on engagements, while enduring profitability and understanding and containing risk
Client Engagement:
-Build and maintain deep relationships with client CXOs and be seen as the 'go to' person and a trusted advisor by senior executives
-Leading C-level client interactions and consulting initiatives, deliverables and outputs of a deal engagement
-Demonstrate credibility and experience to advise and deliver on complex consulting engagement
-Enhance client satisfaction, as measured by Net Promoter Score (NPS) and new relationship development; Secure client references
Operational Excellence:
-Achieve individual and team utilization targets
-Lead the design of complex engagements and take responsibility for oversight of delivery, ensuring high performance and customer satisfaction
Leadership, Management, People
-Lead by example; Fostering a culture of continuous personal and professional development and challenging our people to be curious and innovative and supportive for each other. At the same time ensuring that all outcomes are commercially focused, value adding and effectively executed
Strategic Contribution:
-Utilize industry and technology expertise to shape and drive the company's strategic initiatives.
-Align with Kyndryl's strategic vision and contribute to its execution.
-Drive external eminence and innovation, establishing a strong personal and organizational brand in the industry.
-Proactively develop thought leadership and intellectual capital
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-15+ yrs of Extensive experience in client engagement and relationship management at the CXO level in area of Data and AI
-Demonstrable ability to build and commercialize relationships with senior executives
-Proven track record of leading and executing complex projects with multi-disciplinary teams in a Data & AI consulting, corporate or public sector environment
-Effective financial acumen with experience in driving revenue growth and managing margins
-Experience of managing or supporting high-value business development activities with senior stakeholders
-Deep understanding of Data and AI industry trends and technology
-Sound personal brand and presence in the industry
-Demonstrated ability to innovate and drive change
Preferred Skills and Experience
-Leadership: self-starter mindset and with client and Kyndryl outcomes top of mind. Ability to mentor and mentee, create an environment and workplace of choice for peers and team members, be the role model of professional excellence
-Execution: Possesses critical thinking capabilities to analyze data and inputs with objectivity and provide strategic roadmaps and recommendations. Always intellectually curious an brings innovative ideas to solve critical business problems. Clearly accountable on commitments. Able to pivot change in client and business priorities and manage work across multiple projects and teams
-Bachelor's degree or Master's degree
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**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.

Partner Forward Deployed Engineer, Generative AI, Google Cloud
_corporate_fare_ Google _place_ Mumbai, Maharashtra, India; Bengaluru, Karnataka, India
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mumbai, Maharashtra, India; Bengaluru, Karnataka, India** .
**Minimum qualifications:**
+ Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
+ 8 years of experience in cloud computing or a technical customer-facing role.
+ Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
+ Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
+ Experience leading technical discovery sessions.
**Preferred qualifications:**
+ Master's degree or PhD in AI, Computer Science, or a related technical field.
+ Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
+ Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
**About the job**
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. You serve will a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap.
It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
**Responsibilities**
+ Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
+ Architect and code the "connective tissue" between Google's AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
+ Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
+ Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
+ Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: