Lead Data Scientist – Predictive Analytics / GenAI

ZEISS in India

ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports & Cine Optics.

ZEISS India has 3 production facilities, R&D center, Global IT services and about 40 Sales & Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS’ success story in India is continuing at a rapid pace. 

Further information at ZEISS India.

In this role you will:

Focus on communication, conceptual, and organizational work

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact
• Lead and mentor junior data scientists, while clearly communicating complex AI concepts to both technical and non-technical audiences.
• Drive the topic of GenAI forward together with the team and our GenAI task force – from employee training to building the GenAI architecture.

and hands-on programming

• Provide practical insights into feasibility of AI use cases by rapid prototyping
• Experiment with cutting-edge technologies such as Agentic AI, Deep Learning, and Large Language Models (LLMs), while exploring their seamless integration into our existing data products and projects

You have:

• Preferably Master's degree in a STEM (Science, Technology, Engineering, Mathematics) subject, such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience as a data scientist, ideally in a senior or lead role.
• Solid expertise in machine learning, including supervised and unsupervised, along with experience in model evaluation, interpretability, and deployment.
• You are hands-on with deep learning and GenAI, working with transformers, LLMs, diffusion models, and multimodal AI.
• Fluency in Python and relevant libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow,  statsforecast, LangChain)
• Experience in MCP is a plus
• You have strong skills in data handling, from preprocessing and feature engineering to advanced analytics
• Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines
• Strong communication skills in English, with the ability to explain complex topics clearly.
• A collaborative mindset, curiosity, and confidence to challenge the status quo.

Your ZEISS Recruiting Team: