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.

- 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.

📌 Lead Data Scientist_8yrs (India)
🏢 Zorba Consulting India
📍 India