Senior Data Scientist / AI Consultant

undefined ago • 5 Years + • Data Analysis

Job Summary

Job Description

This Senior Data Scientist / AI Consultant role at Mercer involves transforming fragmented data into actionable insights and delivering production-ready, LLM-powered solutions to drive Mercer’s AI strategy. The ideal candidate will have proven experience in productionizing ML models and working with Large Language Models. You will collaborate with various teams on AI initiatives, shaping data strategies, and owning problems end-to-end, balancing multiple priorities with technical excellence and strategic insight, aligning with Mercer’s 2026 AI strategy.
Must have:
  • Design, productionize, and validate machine learning and LLM-based solutions.
  • Help shape foundations for Mercer’s AI capabilities, ensuring scalability and maintainability.
  • Gather, assess, and prioritize requirements from multiple stakeholders and projects.
  • Identify fragmented data sources and define optimal structures for analysis and ML use.
  • Provide actionable recommendations connecting technical solutions to business objectives.
  • Engage with multiple teams to deliver AI solutions addressing diverse business needs.
Good 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.

Job Details

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).

In this role, you’ll work on a variety of AI initiatives, collaborating with different teams to solve complex problems, shape data strategies, and deliver production-ready solutions. You’ll have the opportunity to influence multiple parts of the business while working with autonomy and the support of experienced stakeholders, all aligned to 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: Engage with multiple teams to deliver AI solutions that address diverse business needs.

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

1. Interview with GT Recruiter

2. Technical Interview

3. Final Interview

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