Zorba is the new age analytics provider that brings data driven decision to life for its clients. We believe in getting analytics executed on ground with the client team rather than just creating complex machine learning or predictive modelling algorithms. 

We offer services across the spectrum ranging from analytics training and setting up data centres to delivering analytics based strategic consulting solutions. One of the key value adds we do is with the speed at which we deliver solutions.

Headquartered in Mumbai, Zorba was conceived with an objective of creating value for businesses in near future rather than long term. We are experts in leveraging big data, building data driven solutions and operationalizing analytics at each stage of decision making process with following key offerings: 

•	Data Visualization and Dashboard design
•	Predictive Modelling Algorithms
•	Data Management and Transformation
•	Analytics based reporting solutions
•	Marketing and Business Process Optimization

Witnessing the stories of success and failure of numerous businesses at different stages, we came to the conclusion that every business can be successful if improvisation continues relentlessly. 

We want to make this process faster and smarter for our clients in their quest for growth by hand holding through data analytics and strategic leadership for effective decision making. 

You can follow us on :
https://www.quora.com/profile/Yash-Chaudhary-516
https://www.instagram.com/zorbaconsulting/?hl=en
https://twitter.com/ConsultingZorba
https://www.facebook.com/Zorbaconsulting/

Zorba Consulting India

Lead Data Scientist – JD Summary
Experience: 8+ years Location: Bengaluru Role type: Client-facing Data Science leadership
1. Key responsibilities
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Lead end-to-end Data Science, Machine Learning, and AI projects for clients.
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Understand business problems and translate them into data-driven solutions.
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Manage and mentor technical teams, ensuring delivery quality and timelines.
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Own project planning, estimations, reviews, client expectations, billing, and utilization.
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Define technical strategy, roadmaps, and product initiatives.
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Support presales, client consulting, and stakeholder management.
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2. Must-have technical skills
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Programming: Python, R, SQL, NoSQL, Spark/PySpark.
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Libraries: NumPy, Pandas, scikit-learn, TensorFlow and related ML libraries.
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Cloud: AWS, Azure, or GCP.
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Data Science: Statistics, hypothesis testing, and classical Machine Learning algorithms.
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Ability to solve complex business problems using data and analytics.
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3. Preferred industry exposure
Experience delivering client solutions in one or more of these domains:
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Retail
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Pharma / Healthcare
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Banking
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Insurance
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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:
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8+ years of relevant Data Science / ML experience.
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Successful delivery of end-to-end client projects.
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Strong statistical modelling and ML problem-solving skills.
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Cloud and distributed data-processing experience.
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Team leadership and stakeholder-management capabilities.
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Experience with project governance, presales, and technical roadmap planning.
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