Data Scientist - Life Sciences/ AI

About the Role

Data Scientist

Key Responsibilities

• Design, build, and deploy AI models across 

  statistical, machine learning, and deep learning

   frameworks.
• Implement 

  LLM-based applications

   including 

  content summarization, generation, and retrieval-augmented generation (RAG)

   pipelines.
• Develop 

  agentic architectures

   using 

  LangChain

   or similar frameworks.
• Collaborate with Life Sciences / Pharma R&D stakeholders to solve data-driven problems.
• Translate complex data science methodologies into clear business insights for 

  non-technical and senior client audiences

  .
• Manage deliverables across multiple projects independently, ensuring alignment with business goals.

Qualifications

• 4–5+ years

   of hands-on experience in 

  Data Science

  .
• Proficiency in 

  classical AI

  , including statistical modeling, ML, deep learning, and optimization.
• Experience working with 

  LLMs

   and 

  agentic AI frameworks

   (LangChain, DSPy, etc.).
• Preferably experience in 

  Life Sciences / Pharmaceutical R&D

   data or workflows.
• Strong 

  consulting and communication skills

  ; able to present technical concepts to executives and non-technical stakeholders.
• Proven ability to work independently and manage multiple priorities across cross-functional teams.

Preferred Technical Stack

• Python, PyTorch / TensorFlow, scikit-learn, HuggingFace, LangChain, SQL, Azure / AWS AI services, Git, and MLOps tools.

Location: 

Bangalore, New Delhi, Pune