We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive workplace that values inclusion, wellbeing, flexibility, and comprehensive benefits. Collaborate with business to design, develop, and deploy advanced data science and AI solutions leveraging machine learning, large language models (LLMs), and modern data platforms.

Work with large-scale structured and unstructured datasets including clinical data, publications, real-world evidence, and other healthcare datasets.

Build predictive models and advanced analytics solutions to generate actionable insights and support data-driven decision making.

Develop LLM-powered applications such as AI assistants, knowledge-grounded reasoning systems, and Retrieval-Augmented Generation (RAG) pipelines.

Develop and maintain semantic layers, ontologies, and contextual data frameworks that enable consistent interpretation of data across AI systems and analytics workflows.

Implement evaluation frameworks for AI systems, response quality assessment, hallucination mitigation, and benchmark-driven validation.

Partner with data engineering and platform teams to ensure scalable pipelines, high-quality data availability, and production-ready AI systems.

Communicate analytical findings and AI-driven insights clearly to both technical and non-technical stakeholders through reports, visualizations, and presentations.

Mentor junior data scientists and contribute to knowledge sharing and adoption of modern AI development practices.

Strong expertise in machine learning, and predictive modeling techniques.

Robust programming proficiency in Python for data science and AI system development

Experience working with modern data platforms such as Databricks (Spark, MLflow, Delta Lake).

Experience building LLM-based applications,



including Retrieval-Augmented Generation (RAG), AI copilots, and knowledge-grounded AI systems.

Experience implementing embedding pipelines and vector database architectures (e.g., Familiarity with agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar orchestration frameworks.

Experience designing multi-step AI workflows, including tool calling, context management, and agent-to-agent interaction.

Understanding of LLMOps practices, including model deployment, monitoring, prompt engineering, evaluation workflows, and experiment tracking.

Experience developing and deploying AI or ML services using FastAPI or similar frameworks for scalable APIs.

Experience with semantic data modelling, ontologies, and contextual data frameworks to enable AI reasoning across complex datasets.

Proficiency in working with large datasets using SQL and distributed data processing frameworks.

Excellent communication and presentation skills to convey complex technical concepts to both technical and non-technical audiences.

Experience

- Btech/Masters in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline.
- 5+ years of experience in data science, machine learning, or applied AI roles.
- Proven experience building and deploying machine learning or LLM-powered systems in production environments.




- Experience working with large-scale structured and unstructured datasets.
- Experience developing AI-powered decision support tools, or knowledge-based systems.
- Experience applying data science or AI techniques in healthcare, life sciences, or biopharma domains is highly desirable.
- Familiarity with clinical data, healthcare datasets, or real-world evidence sources is a plus.
- Understanding of the pharma ecosystem and healthcare data sources is beneficial.

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models site-essential, site-by-design, field-based and remote-by-design. Supporting People With Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [HIDDEN TEXT]. Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at [HIDDEN TEXT] with the Job Title and Requisition number. To check your application status, please login to your Candidate Home Account.

R1607244 Data Scientist III

📌 Data Scientist - Python/ SQL- Fully Remote (Secunderabad)
🏢 Bristol-Myers Squibb
📍 Secunderabad