About the Role
We are seeking an experienced  Data Scientist  to lead AI / ML initiatives spanning statistical modeling, classical and modern AI techniques, and LLM-based architectures. The ideal candidate can bridge technical depth with business communication, working independently with multiple stakeholders in the Life Sciences domain.
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