532 Data Scientist jobs in Mumbai
Data Scientist
Posted 8 days ago
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Job Description
+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
Data Scientist
Posted 8 days ago
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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 8 days ago
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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**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
Analytical professional who uses statistical methods, machine learning, and programming skills to extract insights and knowledge from data. Their primary goal is to solve complex business problems, make predictions, and drive strategic decision-making by uncovering patterns and trends within large datasets.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
**Key Responsibilities:**
+ **Problem Framing:** ?Collaborating with stakeholders to understand business problems and translate them into data-driven questions.
+ **Data Collection and Cleaning:** ?Sourcing, collecting, and cleaning large, often messy, datasets from various sources, preparing them for analysis.
+ **Exploratory Data Analysis (EDA):** ?Performing initial investigations on data to discover patterns, spot anomalies, test hypotheses, and check assumptions with the help of summary statistics and graphical representations.
+ **Model Development:** ?Building, training, and validating machine learning models (e.g., regression, classification, clustering, deep learning) to predict outcomes or identify relationships.
+ **Statistical Analysis:** ?Applying statistical tests and methodologies to draw robust conclusions from data and quantify uncertainty.
+ **Feature Engineering:** ?Creating new variables or transforming existing ones to improve model performance and provide deeper insights.
+ **Model Deployment:** ?Working with engineering teams to deploy models into production environments, making them operational for real-time predictions or insights.
+ **Communication and Storytelling:** ?Presenting complex findings and recommendations clearly and concisely to both technical and non-technical audiences, often through visualizations and narratives.
+ **Monitoring and Maintenance:** ?Tracking model performance in production and updating models as data patterns evolve or new data becomes available.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
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**
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 Technical and Professional Expertise
+ 8 - 10 years of experience as an Data Scientist .
+ Programming Languages:?Strong proficiency in Python and/or R, with libraries for data manipulation (e.g., Pandas, dplyr), scientific computing (e.g., NumPy), and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch).
+ Statistics and Probability:?A solid understanding of statistical inference, hypothesis testing, probability distributions, and experimental design.
+ Machine Learning:?Deep knowledge of various machine learning algorithms, their underlying principles, and when to apply them.
+ Database Querying:?Proficiency in SQL for extracting and manipulating data from relational databases.
+ Data Visualization:?Ability to create compelling and informative visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau.
+ Big Data Concepts:?Familiarity with concepts and tools for handling large datasets, though often relying on Data Engineers for infrastructure.
+ Domain Knowledge:?Understanding of the specific industry or business domain to contextualize data and insights.
Preferred Technical and Professional Experience
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**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 5 days ago
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Job Description
About Us
Godrej Enterprises Group (comprising Godrej & Boyce and its subsidiaries) has a significant presence across diverse consumer and industrial businesses spanning Aerospace, Aviation, Defence, Engines and Motors, Energy, Locks & Security Solutions, Building Materials, Green Building Consulting, Construction and EPC Services, Heavy Engineering, Intralogistics, Tooling, Healthcare Equipment, Consumer Durables, Furniture, Interior Design, Architectural Fittings, IT solutions and Vending Machines.
KRA
- Contribution to data ai, gen ai platform & product aspects in terms of ability to perform data science analysis and build AI systems
- Research , Select/Develop, deliver and deploy models for ML/AI use cases
- Contribute towards defining required AI frameworks to ensure Quality & compliance of AI models and systems
- Support departmental & organizational Initiatives related to analytics and AI
Job Role
Data Scientist will be required to build hypothesis, research, prototype, design, develop, and help implement enterprise level ML/ AI/Gen AI models for projects to transform and improve company’s business results and competitive position & ensure alignment to the overall digital, data & AI strategy and current and future business objectives.
Job Description
Contribution to Data & AI Platform and Products
- Work within Digital Data AI Team in development of data science & AI capabilities and features to support delivery on defined objectives around platform aspects
- Design, implement, and evolve robust, secure and quality solutions that operate for the business ecosystem.
Research, design & development of High Quality Data, AI and analytical systems
- Define exploratory data analysis (EDA) keeping in line with problem necessities
- Ensure the development of quality procedures and standards products and supervising tests.
- Work on various data correction problems such as data cleansing, sourcing and integrating from multiple platforms to make the good data available for data analysis , data science & AI development
Provide and help deliver the Solutions
- Hands on contribution to provide solutions and POCs , working in cross- functional or agile teams to develop and deliver significant aspects of the models and systems.
- Lead and mentor junior data scientists and ensure availability of necessary data and analysis as needed by business requirement and use cases.
- Conduct diagnostic across existing data and make future state recommendations in regular intervals.
- Collaborate with Business Analyst, Data scientists, Data Engineers and Data Analysts to ensure understanding and alignment between business needs and technical implementation.
- Monitor performance of existing solutions across use cases to identify and drive optimization.
- Oversee and Research, develop and analyse NLP, Gen AI , computer vision algorithms in Various use cases. Ensure model robustness, model generalization, accuracy, testability, and efficiency. Write product or system development code.
- Contributing via understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
- Responsible for deploying AI/ML models (ML Ops) in standalone and cloud based systems and services.
Support Projects and Initiatives
- Help in Collaboration with business unit heads and corporate functions to identify and assist in providing data analysis support across different projects
- Identify data from legacy systems, to build new solutions based on requirement
- Provide necessary technical support in new and ongoing digital initiatives to ensure seamless data solutioning.
Requisite Qualification
Essential
B.Tech. in Computer Science/ IT/ Data Science
Preferred
PhD or minimum M Tech in Computer Science/ IT/ Data Science/ with persuasion of PhD
Good Data Science or Data Engineer Certification ( minimum 1 year programs etc)
Requisite Experience
Essential
- Minimum 8 Yrs with of experience in data analytics & data science, building, and maintaining various ML models. Good know how of emerging small and larger models
- 3 to 5 + years of experience in each of the Data Science specialization like NLP, Demand Forecasting, ML Ops
- Should be able to present portfolio of data science work or use cases
Preferred
- Sound understanding of Data analysis to support the preparatory work
- Experience working in the agile Environment.
- Know how/ Familiarity in all aspects of MLOps (source control, continuous integration, deployments, etc.)
- Experience/ Exposure with Cloud data services like AWS or Azure
Special Skills Required
Functional:
- Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc.
- Strong hands-on coding skills in Python, processing large-scale data set and developing machine learning models. Experience programming in Python, R, and SQL
- Expertise in developing ML models and deployment of the same
- Hands on working on developing NLP models using transformers and computer vision.
- Know-how of deploying AI/ML models (ML Ops) in standalone and cloud-based systems and services.
- Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD
- SQL Server experience required
Understanding of, dimensional data modelling, structured query language (SQL) skills, data warehouse and reporting techniques
- Data Governance & Ethics
Leadership:
- Strong analytical skills, ability to ask right questions, analyse data and draw conclusion by making appropriate assumptions, to solve and model complex business requirements
- Ability to lead team of junior data scientists, get into the details of the problem and ability to code the solution hands on as and when needed
- Planning & Organizing
- Present complex data analysis in consumable way and Engage the stakeholders
- Ability to collaborate with different teams and clearly communicate solutions to both technical and non-technical team members
- Team player
Data Scientist
Posted 5 days ago
Job Viewed
Job Description
Namaskaram!
AjnaLens is looking for a Senior Data Scientist to join our Product Intelligence team at Thane (Maharashtra - India). This leadership role is designed for a seasoned professional who can not only dive deep into complex data but also guide product strategy, mentor junior data scientists, and influence key decisions at a strategic level. If you're passionate about transforming data into actionable insights that shape the future of AI-powered experiences and wearable technologies, we’d love to have you onboard.
We’re also proud to share that Lenskart is now our strategic investor , a milestone that reflects the impact, potential, and purpose of the path we’re walking. Join us as we co-create the future of conscious technology.
Read more here: The smartphone era is peaking. The next computing revolution is here.
Top 3 Daily Tasks:
- Lead data analysis efforts, uncovering actionable insights to guide product and business strategy.
- Develop and implement advanced predictive models that forecast long-term impacts on customer retention and revenue.
- Mentor and guide junior data scientists, fostering a data-driven culture across cross-functional teams.
Minimum Work Experience Required:
5+ years of experience in data science, with a proven track record in predictive modeling, A/B testing, and driving data strategy within product teams.
Top 5 Skills You Should Possess:
- Expertise in advanced predictive modeling techniques and statistical analysis.
- Strong ability to lead data-driven initiatives, from experimentation to model deployment.
- Experience with A/B testing frameworks and data-driven decision-making in product development.
- Deep understanding of customer behavior analytics and how data drives retention and growth.
- Excellent communication skills to translate complex findings into actionable recommendations for leadership and product teams.
What Would You Be Expected to Do:
- Lead the design and implementation of data models that predict product performance, retention rates, and revenue growth.
- Conduct advanced statistical analysis to assess and optimize the impact of AI features and interactions.
- Mentor junior data scientists, helping them develop skills and collaborate effectively across teams.
- Work closely with leadership, product managers, engineers, and designers to ensure alignment between data insights and product goal.
- Create dashboards and visualizations that present key metrics and findings in an accessible, actionable manner.
Data Scientist
Posted 5 days ago
Job Viewed
Job Description
Role Title: Data Scientist
Function / Department: Corporate Digitalization and Analytics
Location: Jogeshwari, Mumbai (On-Site) / Chennai (On-Site)
About the Role: We are seeking an experienced Data Scientist (4-6 years) to lead AI-driven transformation in a globally recognized Pharma Manufacturing IIoT environment. Our AI/ML use cases have received recognition from the World Economic Forum's Global Lighthouse Network, making this a high-impact, innovation-driven role.
This position involves leading multiple use cases, working on exploratory technologies, and experimenting with cutting-edge AI tools. The role also entails working on vision-based use cases using quadrupeds (robotic systems) for industrial automation and process optimization.
Why Join Us?
- Be part of AI projects recognized by the World Economic Forum's Global Lighthouse Network.
- Lead AI-driven decision-making & automation in a high-impact, mission-critical pharma environment.
- Experiment with AI innovations & next-gen robotics (quadrupeds, computer vision).
- Collaborate with top industry experts in a future-focused, technology-driven environment.
Key Responsibilities:
- Lead AI-Driven Use Cases: Develop and deploy machine learning models for predictive maintenance, yield optimization, and quality control.
- Computer Vision & Robotics Integration: Build and optimize vision-based analytics for Quadrupeds to automate inspections and detect anomalies.
- Cutting-Edge Generative AI & NLP: Implement Generative AI models (e.g., GANs, Transformers) for manufacturing insights and process automation.
- Big Data Processing & AI Pipelines: Work with IIoT data streams, industrial sensors, and unstructured datasets for scalable AI deployment.
- Interactive Analytics & Decision Intelligence: Develop high-impact dashboards and visualizations for leadership decision-making.
- Research & Experimentation: Explore and implement new AI tools and emerging technologies for digital transformation.
Qualifications:
Education:
- Bachelor's degree in Engineering or a Master's in Statistics, Computer Science, IT, Analytics, or related fields.
Technical Skills:
- Programming: Proficiency in Python and libraries such as NumPy, pandas, scikit-learn.
- Machine Learning & Deep Learning: Experience with TensorFlow, PyTorch, and classical ML models.
- Computer Vision: Familiarity with OpenCV, object detection models, and industrial vision analytics.
- Generative AI: Exposure to GANs, NLP models, and Transformers.
- Big Data & IIoT: Experience with data pipelines, ETL processes, and IIoT data streams.
- Visualization: Expertise in Tableau, Power BI, or Plotly for interactive dashboards.
- Good to have: MLOps, Exposure to Azure or similar cloud platforms
Skills and Competencies:
- Strategic Thinker: Ability to drive AI-powered decision-making in a fast-paced industrial setting.
- Tech Explorer: Passion for working on emerging AI technologies, robotics, and experimental AI models.
- Collaboration & Leadership: Comfortable working with cross-functional teams and leading projects.
- Problem-Solving Mindset: Strong analytical skills to handle complex industrial datasets and drive impact.
Data Scientist
Posted 11 days ago
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Job Description
About the Role:
We are looking for a passionate and results-driven Data Scientist with 2–3 years of experience to join our data science team. This role involves building robust machine learning and deep learning models for high-impact financial use cases such as fraud detection, risk scoring, personalization, and automation.
You should have strong Python programming skills, hands-on experience with end-to-end ML/DL model development, MLOps deployment, Experience building and exposing APIs for model interaction and integration with production systems is essential.
Key Responsibilities:
•Design, develop, and deploy ML/DL models for FinTech use cases (e.g., fraud detection, customer risk classification, churn prediction).
•Handle and process large, highly imbalanced datasets using advanced resampling, cost-sensitive learning, or anomaly detection techniques.
•Implement and automate MLOps pipelines for training, testing, monitoring, and deploying models to production (e.g., using MLflow or Kubeflow).
•Build APIs and backend interfaces for seamless model consumption in production applications.
•Collaborate closely with Data Engineers, Product Managers, and Frontend Developers to operationalize ML solutions.
•Document model assumptions, performance metrics, and testing methodology for audit and compliance readiness.
•Contribute to continuous model monitoring and re-training pipelines to ensure production accuracy and relevance.
•Stay current on emerging ML and GenAI techniques (exposure to GenAI is a plus but not mandatory).
Key Requirements:
•2–3 years of hands-on experience in data science/machine learning/Deep Learning developer role.
•Domain experience in FinTech, payments, or financial services (mandatory).
•Proficiency in Python and popular ML/DL libraries: scikit-learn, XGBoost, TensorFlow, PyTorch.
•Experience with model deployment, Docker, FastAPI/Flask, and building APIs.
•Experience with MLOps tools (e.g., MLflow, DVC).
•Strong knowledge of data preprocessing, feature engineering, and model evaluation
•Familiarity with version control (Git), CI/CD workflows, and agile practices.
•Strong communication and documentation skills.
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Data Scientist
Posted 16 days ago
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Job Description
As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects.
At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses.
EXPERIENCE - 18 MONTHS TO 3 YEARS ONLY (excluding internship)
Responsibilities
1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring.
2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements.
3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality.
4. Documenting each step of the development and informing decision makers by presenting them options and results.
5. Ensure the integrity and security of data.
- 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones.
Qualifications
- Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field.
2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra.
3. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions.
4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data.
5. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain).
6. Ability to write clear and concise code in python.
7. Intellectually curious and willing to learn challenging concepts daily.
8. Knowledge of current Machine Learning/Artificial Intelligence literature.
Data Scientist
Posted 16 days ago
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Job Description
Key Responsibilities
Business Understanding & Solutioning
- Engage with clients/stakeholders to define analytics roadmaps.
- Translate business problems into ML, DL, or GenAI-driven analytical solutions.
- Participate in pre-sales activities, including creating pitch decks, framing solutions, and presenting to clients.
Modeling & AI Development
- Develop models for Prediction, Forecast, Segmentation, Churn, CLV, Recommendation Systems.
- Build Generative AI solutions using LLMs, Transformers, Autoencoders.
- Implement scalable AI/ML pipelines with MLOps tools (MLflow, Docker, CI/CD).
Team Leadership & Collaboration
- Lead and mentor 5–10+ data scientists.
- Work with engineering, product, and client teams to integrate AI in workflows.
Knowledge Sharing & Mindset
- Promote a learning culture; share knowledge across the team.
- Coach junior ML members and foster collaboration.