Zorba Consulting
Lead Data Scientist
Senior, client-facing data science leadership role in Bengaluru: lead end-to-end Data Science, ML, and AI projects for consulting clients, translate business problems into data-driven solutions, and manage teams, delivery, billing, and presales. Core stack: Python, R, SQL, Spark, scikit-learn/TensorFlow, and AWS/Azure/GCP.
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data science
- Posted
Skills
Must have
- 8+ years of relevant Data Science / ML experience
- Programming: Python, R, SQL, NoSQL, Spark/PySpark
- Libraries: NumPy, Pandas, scikit-learn, TensorFlow and related ML libraries
- Cloud: AWS, Azure, or GCP
- Statistics, hypothesis testing, and classical Machine Learning algorithms
- Ability to solve complex business problems using data and analytics
- Successful delivery of end-to-end client projects
- Team leadership and stakeholder-management capabilities
- Experience with project governance, presales, and technical roadmap planning
- Cloud and distributed data-processing experience
Nice to have
- Client delivery experience in Retail
- Client delivery experience in Pharma / Healthcare
- Client delivery experience in Banking
- Client delivery experience in Insurance
Full description
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.
- 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.
Skills: machine learning, data science, ml