Marsh McLennan

Senior Data Scientist

Marsh McLennan

full-time

Posted on:

Location Type: Hybrid

Location: Boston • Massachusetts • New York • United States

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Job Level

Senior

Tech Stack

AWSAzureCloudPython

About the role

  • Supporting technical projects, including data engineering, model selection and design, and infrastructure deployment
  • Exploring data, building models, and evaluating solution performance to resolve core business problems
  • Explaining, refining, and collaborating with stakeholders through the journey of model building
  • Advocating application of best practices in modelling, code hygiene and data engineering
  • Leading the development of proprietary statistical techniques, algorithms or analytical tools

Requirements

  • Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science
  • Track record of designing and deploying technical solutions, which deliver tangible, ongoing value including:
  • Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised and unsupervised learning
  • Developing Generative AI and Agentic AI solutions, leveraging patterns such as Retrieval Augmented Generation (RAG), multi-agent frameworks and performance evaluation
  • Demonstrating comfort and poise in environments where large projects are time-boxed
  • Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome)
  • Knowledge of one or more machine learning frameworks
  • Knowledge of one or more of the key generative AI frameworks
  • Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome
  • Solid theoretical grounding in the mathematical core of the major ideas in data science
  • Fluency in the mathematical principles and generalizations of data science
Benefits
  • A menu of healthcare options
  • 401k matching
  • Flexible working hours
  • Opportunities for social impact and community work on company time
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringmodel selectioninfrastructure deploymentmachine learningartificial intelligencestatisticsprogramming languagesGenerative AIAgentic AImathematical principles
Soft Skills
collaborationcommunicationleadershipproblem-solvingstakeholder engagementtime managementadvocacyrefinementexplorationevaluation