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Carl Zeiss AG

Lead Data Scientist, Predictive Analytics / GenAI

Bangalore
Python NumPy Pandas scikit-learn PyTorch TensorFlow LangChain Deep Learning Machine Learning Large Language Models AI
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Description

Lead Data Scientist – Predictive Analytics / GenAI

Location: Bangalore

Remote Type: Hybrid

Time Type: Full time

Job Description

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:

Upasana Sinal
Carl Zeiss AG
Carl Zeiss AG

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