Lead Data Scientist – JD Summary

Experience: 8+ years

Location: Bengaluru

Role type: Client-facing Data Science leadership

- Key responsibilities
- Lead end-to-end Data Science, Machine Learning, and AI projects for clients.
- Understand business problems and translate them into data-driven solutions.
- Manage and mentor technical teams, ensuring delivery quality and timelines.
- Own project planning, estimations, reviews, client expectations, billing, and utilization.
- Define technical strategy, roadmaps, and product initiatives.
- Support presales, client consulting, and stakeholder management.
- Must-have technical skills
- Programming: Python, R, SQL, NoSQL, Spark/PySpark.
- Libraries: NumPy, Pandas, scikit-learn, TensorFlow and related ML libraries.
- Cloud: AWS, Azure, or GCP.
- Data Science: Statistics, hypothesis testing, and classical Machine Learning algorithms.
- Ability to solve complex business problems using data and analytics.




- Preferred industry exposure

Experience delivering client solutions in one or more of these domains:
- Retail
- Pharma / Healthcare
- Banking
- Insurance
- Ideal candidate profile

The ideal candidate is a senior, hands-on Data Science leader who combines strong technical expertise with consulting, people management, and client delivery ownership.

They Should Demonstrate

- 8+ years of relevant Data Science / ML experience.
- Successful delivery of end-to-end client projects.
- Solid statistical modelling and ML problem-solving skills.
- Cloud and distributed data-processing experience.
- Team leadership and stakeholder-management capabilities.
- Experience with project governance, presales, and technical roadmap planning.

Skills: machine learning,data science,ml

📌 Lead Data Scientist_8+yrs (India)
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