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Data Science Lead
Minor Hotels Europe and AmericasData Science Lead for Neo overseeing AI contributions and ensuring high model quality at Capgemini. Driving standards and practices for robust AI solutions with cross-functional collaboration.
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Lead Data Science activities across multiple streams, ensuring consistent methodologies, evaluation standards, and model quality
- Define and implement experimentation frameworks, test protocols, and evaluation strategies for AI features
- Establish best practices for prompt evaluation, feasibility assessments, and iterative model improvement
- Oversee how AI models interact with Neo’s knowledge base to ensure accuracy, relevance, and controlled behaviour
- Guide Data Scientists in refining models based on feature intake requirements and platform constraints
- Collaborate closely with engineering and architecture teams to ensure models are ready for integration into production environments
- Act as the central authority on AI model quality, validation, and alignment across Neo
- Drive continuous improvement of Data Science standards and practices as the platform evolves
Requirements
What you’ll need- Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related field
- 7+ years of experience in Data Science, with strong exposure to NLP, retrieval augmented systems, LLMs, or applied AI solutions
- Proven experience leading Data Science teams and defining experimentation and evaluation frameworks
- Strong knowledge of LLMs, embeddings, vector search, and model evaluation techniques
- Hands on experience with Python, notebooks, and AI experimentation tooling
- Comfortable working in cross functional environments with product, engineering, architecture, and knowledge teams
Benefits
Comp & perks- Extensive career growth programs
- Flexible working arrangements
- Supportive environment for continuous development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ScienceNatural Language Processing (NLP)retrieval augmented systemsLarge Language Models (LLMs)embeddingsvector searchmodel evaluation techniquesPythonAI experimentation tooling
Soft Skills
leadershipcollaborationcommunicationguidancecontinuous improvement
Certifications
Bachelor’s degreeMaster’s degree