BMS is inviting applications for the role of Data Scientist II in Hyderabad, Telangana. This opportunity is suited for candidates with experience in data science, machine learning, applied AI, and large-scale healthcare or life sciences datasets.
Key Responsibilities
- Collaborate with business teams to design, develop, and deploy advanced data science and AI solutions using 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 for consistent data interpretation 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 to technical and non-technical stakeholders through reports, visualizations, and presentations.
Job Details
| Company | BMS |
| Position | Data Scientist II |
| Location | Hyderabad – TS – IN; Hyderabad |
| Department | Production |
| Work Mode | field-based |
| Experience | 3+ Years |
| Qualification | Master’s Degree, Btech/Masters in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline |
| Requisition Number | R1607910 |
Job Description
At Bristol Myers Squibb, the Data Scientist II role focuses on building advanced data science and AI solutions that support business and healthcare decision-making. The selected candidate will work on machine learning, LLM-powered systems, predictive analytics, RAG pipelines, semantic layers, and AI evaluation frameworks in a production-focused environment.
The role involves collaboration with business, data engineering, and platform teams to create scalable and production-ready AI systems. Candidates will also be expected to present complex analytical findings clearly to both technical and non-technical audiences.
Qualification
- Master’s Degree.
- Btech/Masters in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline.
- Strong expertise in machine learning and predictive modeling techniques.
- Strong programming proficiency in Python for data science and AI system development.
- Experience working with modern data platforms such as Databricks, Spark, MLflow, and 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 such as FAISS, Pinecone, Weaviate, OpenSearch Vector, and pgvector.
- Familiarity with agentic AI frameworks such as LangGraph/ Claude SDK.
- 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.
- 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
- 3+ 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.
Benefits
- Opportunities for growth.
- Supportive environment that values inclusion, wellbeing, and flexibility.
- Comprehensive benefits.
How to Apply
Interested candidates can apply online through the official BMS Workday application link below.
For reasonable accommodations/adjustments in completing the application or in any part of the recruitment process, applicants can contact:
