Applied Data Scientist | Mercer
Applied Data Scientist | Mercer
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Job Description
GT was founded in 2019 by a former Apple Nest and Google executive.GTs mission is to connect the worlds 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 looking for an Applied Data Scientist to support internal teams across Mercer helping turn data into actionable insights and LLM-powered features.
**Contract Duration: 6 months (with possible extension based on performance)
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 25000 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 experienced and curious Data Scientists to join a dynamic data enablement team that operates across multiple product groups. This role focuses on empowering internal teams with actionable insights LLM-enhanced feature development and data structure expertise. You will play a key role in building scalable analytical processes and supporting strategic decision-making.
Responsibilities:
Validate Business Assumptions: Analyze and test key project assumptions to support reliable decision-making
Perform Deep Data Analysis: Extract meaningful insights from complex datasets across products and teams
LLM Feature Development: Contribute to the design and implementation of product features using Large Language Models (e.g. OpenAI Hugging Face)
Data Structuring & Guidance: Advise teams on data structuring for optimal analytical use
Documentation: Create clear practical guidelines and documentation for data usage pipelines and insights
Stakeholder Collaboration: Engage with product managers and cross-functional stakeholders to align data strategies with business goals
Essential knowledge skills & experience:
5 years of experience in a Data Science Machine Learning or advanced Data Analytics role
Proficiency in SQL for querying large datasets
Strong programming skills in Python (R is a plus) for statistical analysis and modeling
Familiarity with LLM frameworks such as OpenAI or Hugging Face
Experience with data visualization tools such as Tableau or Power BI
Solid understanding of data modeling exploratory data analysis and statistical testing
Excellent communication skills for technical and non-technical stakeholders
Nice-to-have:
Experience in the HR people management or compensation domains
Experience working in distributed cross-functional product teams
Knowledge of MLOps best practices or experience deploying data science models to production
Interview Process
Interview with GT Recruiter
Technical Interview
Competency interview
Final Interview
Reference Check
Employment Type
Contract
