Lead Data Scientist – JD Summary
Experience: 8+ years
Location: Bengaluru
Role type: Client-facing Data Science leadership
1. 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.
2. 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.
3. Preferred industry exposure
Experience delivering client solutions in one or more of these domains:
-
Retail
-
Pharma / Healthcare
-
Banking
-
Insurance
4. 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.
-
Strong 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.