15,590 Data Science Lead jobs in India

About Us
is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. builds patented full stack software for automation of decision making in the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminum, cement, pharma, paints, consumer goods and others. It is one of India's very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. The Ripik team is growing fast and looking for stellar individuals to join.

Roles And Responsibilities

• Lead, mentor, and grow a team of data scientists and ML engineers.
• Design and implement scalable computer vision algorithms (e.g., image recognition, object detection, segmentation, OCR, video analytics).
• Oversee the end-to-end lifecycle of ML projects – from data collection and preprocessing to model development, deployment, and monitoring.
• Collaborate with product, engineering, and business teams to translate requirements into data-driven solutions.
• Stay updated with the latest research in AI/ML and apply cutting-edge techniques to solve business problems

Required Skills & Experience

• 5 years of experience into Data Science. Experience as a team lead is preferred.
• Strong hands-on experience in Computer Vision.
• Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, and computer vision toolkits.
• Solid understanding of cloud platforms (AWS, Azure, GCP) for deploying ML models.
• Proven track record of building and deploying vision-based AI solutions at scale.

What can you expect?

• Lead and mentor Data Science and ML teams.
• Engage with clients to deliver solutions.
• Work on cutting-edge Computer Vision initiatives.
• 5-day work week, Monday to Friday.
• Meals provided at the office.

Office Location: Sector 16, Noida

SUMMARY

Job Title: Data Science Lead CoE

Location:  Hyderabad, India (Hybrid)

Experience: 10+ years

Role Type:  Full - time

Start Date: Immediate

About the Role:

As we build our Data Science Center of Excellence (CoE), we are looking for an entrepreneurial and technically strong Data Science Lead who can lay the foundation for a high-performing team. You will work directly with stakeholders across multiple business units to define use cases, lead model development, and ensure successful deployment and value realization.

Key Responsibilities:

• Serve as the technical and strategic lead for the Data Science CoE.

• Partner with business leaders to identify use cases, assess feasibility, and define measurable outcomes.

• Design end-to-end data science solutions from problem framing and data exploration to model development and deployment.

• Build and mentor a team of data scientists as the CoE scales.

• Promote best practices in experimentation, model development, versioning, documentation, and governance.

• Collaborate closely with engineering and data platform teams for scalable solution delivery.

• Evangelize data science best practices and build credibility through delivery of impactful projects.

Qualifications:

• 10+ years of experience in applied data science, machine learning, or AI solutioning.

• Strong portfolio of business-impacting projects across domains such as customer analytics, personalization, marketing, pricing, operations, or product.

• Experience working with cloud platforms (AWS, Azure, or GCP) and modern data science tools (Python, R, SQL, etc.).

• Strong stakeholder management and communication skills to explain complex models in simple business terms.

• Prior experience in setting up data science teams, mentoring junior talent, and working in a cross-functional delivery environment.

• Exposure to MLOps and model deployment in production systems is a plus.

The impact that you will be making

Data Science Lead will lead a team of Data Scientists / Senior Data Scientists and help us discover the information hidden in vast amounts of data, make smarter decisions to deliver even better products. The primary focus will be in leading the application of data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What this role entail

• Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting)
• Develop and maintain robust data processing pipelines and reproducible modelling pipelines
• Explore data and communicate insights clearly
• Manage a team of data scientists and senior data scientists
• Analyze experimental results, iterate and refine models to create significant business impact
• Build analytic systems and predictive models
• Test performance of data-driven products
• Experiment with new models and techniques

What lands you in this role

• At least 5 - 7 years of experience in Data Analytics Model development and deployment
• Strong forecasting experience
• Must have exposure to developing predictive analytics and machine learning algorithms for business applications
• Good knowledge of data management and visualization techniques
• Hands-on experience of working across SQL, R, Python, Hadoop
• Experience of managing teams of at least 2-3 members
• Strong organizational and leadership skills
• Understanding and exposure to business applications and integration of analytics with businesses.
• B Tech/BE degree in Computer Science, Data Science, Mathematics or similar field

About Impact Analytics

Impact Analytics (
Series D Funded
) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year's inputs to forecast and plan this year's business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors.
In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention
. Here's a link to our website:

.

Some of our accolades include:

• Ranked as one of
  America's Fastest-Growing Companies
  by
  Financial Times
  for
  five
  consecutive years:
• Ranked as one of
  America's Fastest-Growing Private Companies
  by
  Inc. 5000
  for
  seven
  consecutive years:
• Voted #1 by more than 300 retailers worldwide in the
  RIS Software LeaderBoard
  2024 report.
• Ranked
  #72
  in
  America's Most Innovative Companies
  list in
  2023
  —by
  Fortune
  —alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged
  a strategic partnership with Google
  to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple
  Gartner reports
  , including
  Market Guides
  and
  Hype Cycle
  , spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

We are seeking a Team Lead – Data Science & AI/ML on AWS who will be responsible for daily task execution oversight, delivery quality, SCRUM adherence, and team operations management for DS/AI/ML projects

Role & responsibilities

Key Responsibilities

• Opportunity to setup data science practice with fastest growing stock exchange
• Identify and collect relevant data from various sources, including structured and unstructured data using big data technologies
• Clean, pre-process, and transform data to ensure its quality and usability.
• Create feature store to drive data insights and analytics use case
• Develop anomaly detection algorithm, time series data analysis, clustering algorithms, or classification models to solve business problems and make accurate predictions.
• Experimentation with generative AI use case
• Visualize data, model outputs, and analytical results using charts, graphs, and dashboards.
• Explore and evaluate new tools, frameworks, and approaches to enhance data science capabilities.
• Evaluate and validate models using appropriate metrics and techniques for surveillance use case

Preferred candidate profile

Qualifications & Skill sets

• Bachelor's or masters degree in mathematics, Statistics, Data Science, Computer science/engineering or related field
• 5 to 6 years' experience in data science, analytics, AI/ML and model deployment end to end.
• Experience in financial services or stock market domain is plus
• Leading team of 2 junior team member
• Proven record in delivering business outcome through data driven insights and analytics/data science
• Proficiency in Python, Pyspark, SQL, data engineering, time series data analysis
• Sound knowledge of Generative AI
• Excellent communication skills, problem solving and curiosity mind set to drive business outcome

Job description

About Client Hiring for One of the Most Prestigious Multinational Corporations

Job Title : Data Science Lead

Required Qualifications:

Must Have: AI, ML, NLP, LLM, RAG

• 8+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions.
  
  Extensive experience with Gen AI/Agentic AI.
• Strong experience with NLP.
• Strong experience with LLMs and RAG.
• Solid understanding of machine learning principles, algorithms, statistics(e.g., regression, classification, clustering, ensemble methods), and statistical modeling.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines).
• Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases.
• Experience with data preprocessing, feature engineering, and handling large datasets.
• Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.
• Excellent problem-solving skills and the ability to work on complex, ambiguous problems.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

Qualification : Any Graduate or Above

Relevant Experience : 8+ yrs

Location: Hyderabad

CTC Range : 35 to 40 LPA

Notice period : Immediate

Mode of Interview : Virtual

Joel. IT Staff.Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA I I

Responsibilities -

• Fine-tune and optimize large pre-trained models (LLMs, multimodal, CV, and NLP) for DigiHaat-specific tasks (menu understanding, fraud detection, recommendations, voice AI).
• Build embeddings and semantic search capabilities tailored for
  Indian menus, languages, and cuisines

.
- Develop advanced suggestion and personalization engines leveraging ML and deep learning.
- Architect, deploy, and scale AI/ML models on cloud environments (AWS/GCP/Azure).
- Ensure reliability, latency optimization, and high availability of production AI services.
- Implement monitoring, retraining pipelines, and continuous improvement of deployed models.
- Lead initiatives to add
voice-based ordering and interactions

across customer and merchant platforms.
- Build hybrid AI systems (e.g., combining CV, NLP, and voice).
- Explore retrieval-augmented generation (RAG) and vector databases for
domain-specific intelligence

.
- Work closely with cross-functional teams to translate business problems into AI/ML solutions.
- Own the roadmap for AI capabilities across fraud detection, personalization, menu intelligence, and beyond.

Must have attributes-

• Master's or PhD in
  AI, Computer Science, Data Science, Statistics, or a related field

.
- Prior leadership experience in
AI/ML projects

or managing small data science/AI teams.
- Experience with
reinforcement learning, generative AI, or LLM-based applications

.

Role: Lead Data Science

Location: Pune

Experience: 4-8 Years

Notice Period: Immediate to 15 Days

Job Description:

Bachelors / Masters degree in Engineering, Applied Mathematics or related field

• Strong analytics skills: ability to assess data, drive insights, and make recommendations.
• Strong experience in manipulating data sets and building statistical models.
• Strong problem-solving skills with an emphasis on product development.
• Chemical engineers with APC/APM experience shall be added advantage
• Experience supporting fast-paced startup engineering teams
• In-depth understanding of the latest trends and developments in AI and ML, especially in

generative models and LLM (both Cloud and OnPrem)

• Proficiency in programming languages & libraries
• Cloud: AWS, Azure.
• Languages: Advanced Python, pySpark
• Framework: Lambda , Django, Express.
• Database: Postgres, Mongo, ES
• Hands on experience in Design and development including Automated Unit testing (pyTest) with

strong technical background to create performant & extendible applications

• Minimum 4 years of relevant experience in data science related product development

Responsibilities:

• Conducting research aligned to the roadmaps to de-risk/ mature and insert advanced AI concepts

to Honeywell products (latest advancements in generative AI / Causal / Knowledge Graphs,

machine learning, and deep learning techniques )

• Researching, designing, implementing, scalable AI based solutions to solve high value &

challenging customer problems and drive opportunities for new growth

• Leads prototyping (whatifs) supporting pilot programs for R&D purposes.

• Collaborating with cross-functional teams to develop data-driven solutions.

• Responsible for problem analysis, stakeholder interaction, solution design, front end and back-

end integration, maintenance, and support of data science and analytics solutions

• Develop guidelines and standards for analytics and machine learning models, their deployment,

and associated processes

Intrested candidates can forward CV to

Position Title:
Data Science Lead – AI & Generative AI Solutions

Experience:
6–10 Years

Location:
Oniste- Vadodara / Ahmedabad

Employment Type:
Full-time

About the Role

We are looking for an
AI / Generative AI Technical Lead
with deep experience in
Data Science, Machine Learning, and Generative AI
. You will be responsible for designing, developing, and deploying production-grade AI solutions that leverage modern ML pipelines, open-source LLMs, and cloud-based data platforms.

This is a hands-on technical leadership role, involving solution design, implementation, and mentoring of development teams to deliver enterprise-grade AI/GenAI projects.

Key Responsibilities

• Design and implement
  end-to-end ML and GenAI solutions
  — including data collection, model training, deployment, and monitoring.
• Build
  production-grade ML pipelines
  (data preprocessing, feature engineering, model building, validation, and performance tuning).
• Design and develop
  Generative AI applications
  using open-source LLMs and cloud-based platforms.
• Work with
  Computer Vision and Core ML
  frameworks to deliver real-world AI use cases.
• Implement
  RAG architectures
  , fine-tune models (OpenAI, Llama, Mistral, Hugging Face, etc.), and optimize performance.
• Build
  API-based integrations
  for AI and Data Science applications.
• Collaborate with pre-sales and solution teams to design POCs and technical proposals.
• Mentor junior data scientists and engineers.
• Ensure best practices in version control, DevOps, and model governance.

Required Skills & Qualifications

• 6–10 years
  of total experience, with strong expertise in
  Data Science, AI, and Generative AI
  .
• Proven record of:
• 2–3 ML applications
  deployed to production.
• 1–2 Generative AI applications
  deployed to production.
• 3+ AI/Data Science projects
  delivered end-to-end.
• Hands-on coding experience with
  Python, PyTorch, TensorFlow, Spark/PySpark, SQL, NLP frameworks
  .
• Strong understanding of
  GenAI tools
  ,
  RAG
  , and
  LLM fine-tuning
  .
• Experience with
  OpenAI, Llama, Mistral, Hugging Face models
  .
• Knowledge of
  data engineering workflows
  – data lakes, pipelines, and warehouses.
• Familiarity with
  Docker, Kubernetes
  , and
  DevOps deployment pipelines
  .
• Excellent problem-solving, analytical, and communication skills.

Nice-to-Have (Preferred Skills)

• Hands-on experience with
  Azure AI, Databricks
  , or
  Google Cloud Vertex AI
  .
• Understanding of
  SaaS/enterprise-grade AI architectures
  .
• Exposure to
  configuration management
  and
  CI/CD automation tools
  .