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 solid 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.

📌 Lead ML / Data Scientist (India)
🏢 Zorba Consulting India
📍 India