Data Scientist - (202607 - 119687 - 34)

Roche · Hyderabad

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Roche

Roche is hiring in Hyderabad in pharma biotech. This role looks for around 8+ years of experience.

Skills

  • machine learning
  • deep learning
  • NLP
  • predictive modeling
  • statistical analysis
  • LLMs
  • prompt engineering
  • fine-tuning
  • agentic AI
  • AI application architecture
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • MCP
  • AWS AgentCore
  • RAG
  • Agentic RAG
  • GraphRAG
  • Hybrid Search
  • Vector Databases
  • Semantic Retrieval
  • Neo4j
  • knowledge graphs
  • ontologies
  • enterprise search platforms
  • Python
  • R
  • APIs
  • microservices
  • CI/CD
  • GitOps
  • testing frameworks
  • AWS
  • Azure
  • GCP
  • MLOps
  • LLMOps
  • model governance
  • monitoring
  • automation
  • Docker
  • Kubernetes
  • Tableau
  • Power BI
  • R Shiny
  • Plotly
  • GxP

The role

A data scientist at a pharmaceutical and life sciences company leads machine learning, Generative AI, and RAG initiatives from strategy through production, building enterprise data science frameworks and influencing decisions with predictive modeling and statistical analysis. The role applies Python and cloud platforms to deliver governed AI systems across regulated environments.

Full job description

Requirements:

Master's or PhD in data science, computer science, statistics, artificial intelligence, mathematics, bioinformatics, or a related discipline.

8-12 years of experience in data science, AI, machine learning, or advanced analytics.

Proven experience leading AI/ML initiatives from ideation through production deployment.

Extensive experience leading complex data science projects from end-to-end and driving significant business impact.

Proven track record of working closely with senior leadership to inform and influence high-level strategic business decisions.

Demonstrated experience in designing and implementing enterprise-wide data science frameworks and best practices.

Experience mentoring teams and providing technical leadership.

Experience in pharmaceutical, life sciences, healthcare, or other regulated industries preferred.

AI, ML, and Generative AI:

Expertise in machine learning, deep learning, NLP, predictive modeling, and statistical analysis.

Deep knowledge of LLMs, prompt engineering, fine-tuning, agentic AI, and AI application architecture.

Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, MCP, and AWS AgentCore.

RAG and Knowledge Graphs:

Hands-on experience with RAG, Agentic RAG, GraphRAG, Hybrid Search, Vector Databases, and Semantic Retrieval.

Experience with Neo4j, knowledge graphs, ontologies, and enterprise search platforms.

Programming and Engineering:

Expert proficiency in Python.

Strong experience with R; SAS knowledge preferred.

Knowledge of APIs, microservices, CI/CD, GitOps, testing frameworks, and software engineering best practices.

Cloud, MLOps, and LLMOps:

Experience with AWS, Azure, or GCP.

Strong understanding of MLOps/LLMOps, model governance, monitoring, automation, Docker, and Kubernetes.

Visualization and Communication:

Experience with Tableau, Power BI, R Shiny, Plotly, or equivalent visualization tools.

Strong storytelling, presentation, and executive communication skills.

Additional Qualifications:

Strong leadership, mentoring, and stakeholder management capabilities.

Ability to balance strategic thinking with hands-on execution.

Excellent communication and influencing skills.

Proven innovation mindset and cross-functional collaboration skills.

Experience supporting GxP-compliant systems and regulatory requirements is highly desirable.