Job Title: AI Senior Data ScientistLocation: Global (Market Access & Pricing Consulting)OverviewThe AI Senior Data Scientist is a key member of the Consulting team, leading the development of AI solutions that enhance team knowledge and project efficiency. The position serves as the primary technical reference for AI-related topics within the practice.Key Responsibilities- AI Solution Design & Implementation
- Translate business questions in market access and pricing into scalable AI and analytics solutions.
- Design and implement AI systems, including LLM-based applications, AI agents, and structured data pipelines.
- Ensure solutions are production‑ready, documented, and reproducible.
- Apply strong governance and validation standards suitable for healthcare environments.
- Support deployment, monitoring, and continuous improvement of developed tools.
- Partner within corporate working groups and AI Committee review cycles to ensure cross‑unit alignment before consolidation and planning.- Consulting Support & Technical Leadership
- Act as an AI subject‑matter expert on selected client engagements.
- Advise consulting teams on feasibility, technical trade‑offs, and solution design.
- Support AI‑enabled proposal development when relevant.
- Contribute to the development of reusable internal tools and accelerators.
- Perform additional duties as assigned.- Internal Capability Development
- Mentor and develop junior data scientists.
- Promote best practices in coding, validation, and deployment.
- Contribute to the structured adoption of AI tools within the practice.Required Experience- Minimum 3–4 years of experience in Data Science, Applied AI, or Advanced Analytics.- Proven track record delivering production‑grade AI systems in business settings.- Strong experience in programming and query languages (Python, SQL).- Demonstrated experience working with LLMs and integrating them into structured workflows (via APIs).- Experience designing modular, reusable analytics solutions.- Familiarity with cloud environments (AWS or equivalent).- Experience in governance‑driven or regulated environments (documentation, validation, privacy, access control awareness).Desired Background- Advanced degree in Computer Science, Engineering, Statistics, Bioinformatics, or related STEM field.- Experience in healthcare, life sciences, pharma, MedTech or market access & health economics.- Exposure to consulting environments is a strong plus.Technical Competences & Soft Skills- Programming and data query languages (Python, SQL).- ML frameworks and standard libraries.- LLM integration and orchestration.- Version control, testing, code review discipline.- Understanding of MLOps concepts and controlled deployment.- Good interpersonal and communication abilities.- Collaborative, cross‑functional working style.- Strong ownership and delivery reliability in a client‑oriented environment.- Advanced business English proficiency (written and verbal). Additional languages are a plus.Contract Type: Regular#J-18808-Ljbffr