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Lead Data Scientist

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Description

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.


Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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