Senior Data Scientist

Senior Data Scientist ABOUT THE COMPANY The company is a group of established pharmaceutical and healthcare intelligence solution providers that support clients across the drug development life cycle, from pipeline through to patient access. THE TEAM The Data Science team focuses on developing AI, machine learning, and advanced analytics solutions that turn complex healthcare and pharmaceutical data into actionable insights for customers.

The team works collaboratively across data science, product, domain experts, and engineering. Its work combines artificial intelligence, machine learning, statistical modelling, and sector knowledge to build customer-facing products and internal platforms. SCOPE OF

THE ROLE In this role as a Senior Data Scientist, you will:
• Collaborate with product partners and stakeholders to identify opportunities to apply AI / ML to content, data, and products
• Conduct research and identify AI / ML algorithms and methods to solve specific business problems
• Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams as part of customer-led product development
• Deploy solutions as production-grade microservices in collaboration with engineering and Dev Ops teams
• Contribute to common data science platforms and shared data assets
• Stay up to date with advances in the field and share relevant developments with internal teams As a senior-level scientist, you will primarily be responsible for one major release at a time with a high degree of individual ownership. While not all research leads to successful deployed systems, previous successful launches have typically reached general availability within approximately six months from project start.

Solutions may use a wide range of approaches, including agentic systems, model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, data transformations, and business logic. The emphasis is on solving the right problem rather than using a specific technology for its own sake. Requirements:
• Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience
• 5 years of experience developing AI / ML applications and data-driven solutions
• Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, Lang Chain, etc.
• Experience with LLMs, including foundation model APIs, prompt engineering, and retrieval augmented generation
• Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, and Deep Learning
• Understanding of computer science fundamentals, computational complexity, and algorithm design
• Ability to engineer and deploy well-architected software packages
• Strong communication and stakeholder management skills, with the ability to independently own and execute a project holistically at a high level
• Experience mentoring junior team members

Preferred Qualifications:

• Deep expertise in engineering agentic AI systems
• Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data
• Experience with AWS, especially ECS, Bedrock, Sage Maker, serverless compute, and storage
• Ability to prototype proof-of-concept web applications with familiarity across the full stack
• Expert usage of AI coding tools and workflows