Senior Data Scientist / AI Consultant | Mercer at GT

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Senior Data Scientist / AI Consultant | Mercer at GT. Remote Location: Europe - Remote. GT was founded in 2019 by a former Apple, Nest, and Google executive.. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.. On behalf of . Mercer. , GT is seeking. a Senior Data Scientist / AI Consultant. to partner with multiple teams across the client's organization — transforming fragmented data into actionable insights, and delivering production-ready, LLM-powered solutions that drive Mercer’s AI strategy.. **Contract Duration:. 6 months (with possible extension until the end of 2026). About the Client. Mercer. . is a global consulting leader in advancing health, wealth, and career outcomes for organizations and individuals. Headquartered in New York City, Mercer operates in over 130 countries with more than 25,000 employees and 180+ office locations worldwide. As part of Marsh McLennan, Mercer provides data-driven insights and tailored solutions in areas such as HR transformation, compensation and benefits, workforce analytics, and employee experience. The company fosters a collaborative, inclusive, and purpose-driven culture that values innovation, integrity, and impact.. About the Role:. We are looking for a . Senior Data Scientist / AI Consultant. with proven experience in . productionizing ML models. and working with . Large Language Models (LLMs). .. This is a . hands-on technical role with a consultative, multi-project scope. — you’ll work across multiple internal and external initiatives, partnering with diverse stakeholders to define requirements, structure complex datasets, and deliver AI-powered solutions that align with Mercer’s . 2026 AI strategy. .. If you thrive in environments where you can . own problems end-to-end. , balance multiple priorities, and combine technical excellence with strategic insight, this role is for you.. Responsibilities:. End-to-End Model Deployment:. Design, productionize, and validate machine learning and LLM-based solutions for real-world applications.. AI Infrastructure Planning:. Help shape the foundations for Mercer’s AI capabilities, ensuring scalability and maintainability.. Requirement Analysis & Prioritization:. Gather, assess, and prioritize requirements from multiple stakeholders and projects.. Data Structuring & Guidance:. Identify fragmented data sources and define optimal structures for analysis and ML use.. Strategic Data Insights:. Provide actionable recommendations that connect technical solutions to business objectives.. Cross-Project Collaboration:. Support multiple teams simultaneously without being embedded in a single squad.. Essential knowledge, skills & experience:. 5+ years in a . data science or ML engineering. role.. Proven track record of . productionizing. machine learning models, including validation, monitoring, and maintenance.. Strong . Python. skills for data analysis, ML pipelines, and LLM integration.. Proficiency in . SQL. for querying and manipulating large datasets.. Experience with LLM frameworks such as . OpenAI. or . Hugging Face. .. Solid understanding of . data modeling, exploratory data analysis, and statistical testing. .. Strong . critical thinking. skills for navigating complex, multi-stakeholder environments.. Ability to work independently and handle multiple projects in parallel.. Excellent communication skills to bridge technical and non-technical audiences.. Nice-to-have:. Experience in the HR, people management, or compensation domains.. Knowledge of . MLOps best practices. for deployment, CI/CD, and model monitoring.. Experience with data visualization tools (e.g., Tableau, Power BI).. Background in product management or product strategy.. Interview Process. Interview with GT Recruiter. Technical Interview. Final Interview