743 Data Scientist jobs in Mumbai
Data Scientist
Posted 2 days ago
Job Viewed
Job Description
Mumbai
Job Description
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 significant 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 clear, 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 will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge 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. What we Offer: Continuous mentorship - work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment- employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
Overview of the job
Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
Your team
This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
How success looks like
+ Enabling savings every year on base budget as per the masterplan
+ Delivering touchless digital transformation masterplan and reapplying across the globe.
+ Responsibilities of the role
+ Provides technical leadership in supporting OU innovation projects.
+ Acts as a key enabler in leading and delivering results against challenges.
+ Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
+ Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
+ Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
+ Work with process/equipment authorities and application developers to identify data relevant for analysis.
+ Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
+ Develop and maintain key data pipelines across selected sites globally
+ Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
+ Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
+ Identify, diagnose, and resolve prognostics model performance issue.
+ Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
Job Qualifications
+ Bachelor's in engineering/computer Sci
+ Experience with Machine Learning Techniques
+ Strong communication skills
+ Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
+ Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
+ Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
+ Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
+ Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
+ Experience in advance analytics, big data, machine learning.
+ Experience in designing visualization to improve user experience and effective decision making
+ Innovation Approach - Ability to assess business operations and find opportunities, then drive case
+ Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
+ Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
+ IT Security & Risk - In touch with modern IT security risks and principles.
+ Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
+ Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
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 can 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 based on 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.
"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application."
Job Schedule
Full time
Job Number
R
Job Segmentation
Entry Level
Data Scientist
Posted 4 days ago
Job Viewed
Job Description
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.
+ 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**
**Requirements**
**MUST HAVE**
+ Graduate / Postgraduate in computer science or computer engineering 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.
+ **Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.**
+ 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, C/C++.
+ Be fluent in English (written and spoken).
**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.
Data Scientist
Posted 4 days ago
Job Viewed
Job Description
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 and Elastic ML deliverables
+ 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**
**Requirements**
**MUST HAVE**
+ Graduate / Postgraduate in computer science or computer engineering 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.
+ **Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.**
+ **Comfortable with Elastic ML deliverables and development of AI Agents**
+ 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, C/C++.
+ Be fluent in English (written and spoken).
**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.
Data Scientist
Posted 10 days ago
Job Viewed
Job Description
The central Advanced Analytics team at the Abbott Established Pharma Division's (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team.
**Primary Job Function:**
With the above requirements in mind, EPD is looking to fill a role of a Data Scientist to build and refine effective Data Science Solutions for Abbott EPD world-wide.
**Core Job Responsibilities:**
The Data Scientist rapidly navigates from identifying priorities and helping to generate ideas to implementing solutions. They
+ Participate/drive data collection, cleaning, analysis and interpretation (EDA).
+ Collaborate with the business partner and product owners to ideate on solutions to challenging problems.
+ Generate insightful visualizations to communicate findings.
+ Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team).
+ Write high quality code with possibility of deployment in mind.
+ Share the learnings and findings with other data scientists contributing to the collaborative environment.
+ Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks.
+ Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible.
+ Keep himself/herself committed to continuous learning about the latest trends and technologies.
+ Work closely with the Product Owners and the Engineering team to ensure delivery of the Data Science part of the projects within time, cost and quality.
+ Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science standards and project requirements.
+ Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs.
**Supervisory/Management Responsibilities:**
+ **Direct Reports:** None.
+ **Indirect Reports:** None.
**Position Accountability/Scope:**
The Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders and identifying next steps/future impactful opportunities. This individual contributor role involves working with cross-functional teams to build innovative solutions for internal business functions across different geographies.
**Minimum Education:**
Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)
**Minimum Experience:**
+ At least 3-5 years of relevant working experience, ideally in pharma environment
+ Solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).
+ Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithms
+ Proven problem-solving ability in international settings preferably with developing markets
+ Proven experience in working in cloud environment preferably AWS / Sagemaker
+ Strong experience working on full-life cycle data science; experience in applying data science methods to business problems
+ Practical experience in deploying machine learning solutions
+ Strong understanding of good software engineering principles and best practices
+ Ability to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plus
+ Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders
+ Deep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer Vision
+ Strong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniques
+ Strong experience building and debugging complex SQL queries
+ Excellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenarios
+ Exceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholders
+ Proven track record of delivering data-driven solutions that have had a measurable impact on business outcomes
+ Exposure to big data technologies (e.g., Hadoop, Spark) is highly desirable
+ Demonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organization
+ Fluency in English a must, additional languages a plus
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Your potential, unleashed.
India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.
At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
The team
The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers & designers, data scientists and product managers.
Key Responsibilities:
1. NLP Model Development : Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.
2. Data Preprocessing and Feature Engineering : Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.
3. Model Evaluation and Validation : Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.
4. NLP Integration : Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.
5. Research and Innovation : Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.
6. Data Analysis and Visualization : Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.
7. Documentation and Reporting : Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.
Qualifications:
•Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
•Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
•Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
•Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
•Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
•Experience with containerization and orchestration technologies such as Docker and Kubernetes.
•Basic understanding of system design and ML-Ops practices.
•Excellent problem-solving skills and analytical thinking.
•Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
•Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
Preferred Qualifications:
•Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
•Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
•Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
How you’ll grow
Connect for impact
Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report .
Empower to lead
You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
Inclusion for all
At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
Drive your career
At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
Everyone’s welcome… entrust your happiness to us
Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you.
Interview tips
We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
We are seeking a dynamic Data Scientist to spearhead our BIU team in Mumbai/Bangalore. In this role, you will be focusing on Portfolio and Business Analytics to drive growth and profitability objectives. Your expertise in data analysis, machine learning, and strategic thinking will help support data-driven decision-making within our business.
Qualifications:
- Master's degree in Economics, Statistics, Computer Sciences, Mathematics, Operational Research, CA, or Engineering from a reputed college.
- This role requires 2+ years of experience in analytics, preferably financial services, retail business
- Proven track record of leading and mentoring data scientists.
- Strong proficiency in Python, model development, validation, machine learning, NLP, and marketing analytics.
- Hands-on experience with analytics tools like R, SQL, Power BI, and MS Excel.
- Deep knowledge of predictive analytics techniques (machine learning algorithms, logistic & linear regression, decision trees, clustering).
- Expertise in exploratory data analysis (data preparation, exploration, and visualization).
- Excellent communication and presentation skills.
Key Roles & Responsibilities:
- Data Analysis & Modelling: .
- Ensure the accuracy, validity, and robustness of analytical solutions.
- Stay abreast of the latest advancements in data science and machine learning.
- Business Impact:
- Translate complex data insights into actionable business recommendations.
- Partner with cross-functional teams to drive data-driven decision-making.
- Measure and communicate the impact of the team's work.
- Stakeholder Management:
- Build and maintain strong relationships with key stakeholders across the organization.
- Effectively communicate project progress, findings, and recommendations.
- Collaborate with senior management to shape the data science roadmap.
Job Conditions:
- This role requires 2 to 3 years of experience in analytics, preferably financial services,retail
- Strong expertise in Python, model development, validation, machine learning, NLP, Gen AI and marketing analytics is essential.
- Exceptional , communication, and project management skills are crucial.
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
About the Role:
We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers. The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent.
___
Key Responsibilities:
• Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques.
• Train, mentor, and support junior data science engineers in coding, model development, and best practices.
• Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications.
• Translate complex business problems into actionable data science projects and deliver measurable results.
• Design and lead internal workshops, code reviews, and learning sessions to upskill the team.
• Collaborate with engineering and product teams to deploy models and insights into production environments.
• Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable.
___
Desired Skills & Qualifications:
• Experience: 6+ years in Data Science/Machine Learning with at least 1–2 years of team mentoring or leadership experience.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
___
Technical Expertise Required:
• Strong proficiency in Python and SQL; R is a plus.
• Solid hands-on experience with Deep Learning and Neural Networks, particularly in Natural Language Processing (NLP), Generative AI, and Computer Vision.
• Familiarity with frameworks and libraries such as TensorFlow, Keras, PyTorch, OpenCV, SpaCy, NLTK, BERT, ELMo, etc.
• Experience developing Chatbots, OCR, and Face Recognition systems is preferred.
• Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
• Experience applying statistical and data mining techniques such as GLM, regression, clustering, random forests, boosting, decision trees, etc.
• Strong understanding of model validation, performance tuning, and deployment strategies.
___
Soft Skills:
• Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences.
• Demonstrated ability to mentor, train, and lead junior team members effectively.
• Strong analytical and problem-solving mindset with a detail-oriented approach.
___
What We Offer:
• Competitive salary and benefits
• A collaborative and intellectually stimulating environment
• Career growth and leadership development opportunities within a fast-paced team
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Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Role: Data Scientist
Location : Mumbai / Pune
Job Description
As a Data Scientist, you will play a critical role in our data-driven decision-making
process. You’ll be responsible for analyzing complex datasets, developing predictive
models, and translating insights into actionable recommendations. If you’re passionate
about leveraging data to solve real-world problems, we’d love to have you on our team!
Responsibilities :
1. Advanced Analytics and Modeling:
o Develop and implement statistical and machine learning algorithms
including regression, classification, recommendation, natural language
processing and computer vision models.
o Work with technical and product leads to assist in developing custom deep
learning models using architectures like RNNs, CNNs, transformers.
o Analyze large datasets to extract meaningful insights through descriptive
statistics, interactive charts using Plotly, High Charts.
o Strong command in Python programming, functional design.
o Develop and host APIs on GCP / Azure for models produced and evaluate
and track performance over time. Familiarity with CI/CD pipelines will be
preferred.
o Extract and integrate data from multiple relational and NoSQL data
sources.
o Collaborate with cross-functional teams to understand business
requirements. Familiarity with media planning and buying references and
metrics will be preferred.
o Collaborate with and guide junior data scientists.
2. Project Support:
o Lead and deliver on given tasks in end-to-end data science projects, from
problem formulation to model deployment.
o Manage project timelines, and deliverables.
o Collaborate with technical teams, and business analysts to build data
initiatives.
Qualifications :
Education: Bachelor’s, or Master’s in a quantitative field (e.g., Data Science, AI,
Computer Science, Statistics, Mathematics, or related).
Experience: Minimum of 3 years in data science, machine learning, or related
roles.
echnical Skills:
o Proficiency in Python, or similar programming languages and efficient API
development.
o Strong knowledge of machine learning techniques (regression,
classification, recommenders, clustering, DNN, NLP, CV).
o Experience with big data and AI tools (Spark, Airflow, Vertex AI, Azure AI
Foundry) and cloud platforms (GCP, Azure).
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Design and maintain the Treasury Data Warehouse in collaboration with data engineers and technology teams
- Develop advanced analytics models to support Global Treasury operations, bank management, forecasting, liquidity planning, and risk management
- Build and enhance in-house treasury data applications while ensuring data integrity across systems
- Collaborate with treasury colleagues to translate financial questions into analytical solutions
- Drive adoption of new technologies (ML and GenAI) and conduct exploratory data analysis to support strategic initiatives
- Support scenario modeling and stress testing for cash flow, FX exposure, and interest rate sensitivity
- Document models, workflows, and data pipelines for transparency and reproducibility
Main skills/ requirements:
- Bachelor’s or Master’s degree in Data Science, Finance, Economics, or a related field
- Experience with BI tools such as Power BI, Qlik, or Tableau and strong proficiency in SQL and Python for data manipulation and modeling
- Experience with statistical modeling and machine learning techniques
- Advanced Excel skills, including Power Query and VBA and familiarity with machine learning (ML) and generative AI (GenAI) applications in finance
- Knowledge of data warehousing concepts and ETL processes
- Understanding of treasury functions, including cash management, FX, liquidity, and risk
- Proficient in English, other languages are a plus
This is an exciting and challenging opportunity for an experienced treasury professional to join a highly successful and growing company and make a significant impact on the organization's financial performance. If you are a results-oriented individual with a strong track record in treasury analytics, we would love to hear from you.
Data Scientist
Posted 1 day ago
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Job Description
Job Title : Data Scientist - AI Integration & Orchestration.
Job Summary :
We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure.
Key Responsibilities :
Develop and deploy Slack-based AI assistants leveraging Gemini models.
Design and implement prompt templates tailored to enterprise data use cases (Looker and
Confluence).
Establish and manage an embedding pipeline for Confluence documentation.
Build and maintain orchestration logic for prompt execution and data retrieval.
Set up API authentication and role-based access controls for integrated systems.
Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension).
Contribute to documentation, internal walkthroughs, and user acceptance testing planning.
Participate in Agile ceremonies including daily standups and sprint demos.
Required Qualifications :
Proven experience with Gemini and large language model deployment in production environments.
Proficiency in Python, orchestration tools, and prompt engineering techniques.
Familiarity with vector database technologies and embedding workflows.
Experience integrating APIs for data platforms such as Looker and Confluence.
Strong understanding of access control frameworks and enterprise-grade authentication.
Demonstrated success in Agile, sprint-based project environments.
Preferred Qualifications :
Experience working with Slack app development and deployment.
Background in MLOps, LLMOps, or AI system orchestration at scale.
Excellent communication skills and ability to work in cross-functional teams.