Full-Time

Senior Lead Data Scientist or Principal Data Scientist

Updated on 8/1/2026

Marsh

Marsh

10,001+ employees

Global insurance brokerage and risk advisory

Compensation Overview

$150k - $195k/yr

+ Performance-based incentives

Boston, MA, USA + 2 more

More locations: Toronto, ON, Canada | New York, NY, USA

Hybrid

At least three days per week in the local office or with clients is required.

Category
Data & Analytics (1)
Required Skills
Scikit-learn
Microsoft Azure
Python
Regression
Data Science
TensorFlow
Data Structures & Algorithms
PyTorch
Machine Learning
Data Engineering
Infrastructure as Code (IaC)
CloudFormation
AWS
Terraform
Observability

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Requirements
  • A technical background in computer science, data science, machine learning, artificial intelligence, statistics, or another quantitative and computational science.
  • A compelling track record of designing and deploying large-scale technical solutions that deliver tangible, ongoing value.
  • Experience building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning with regression and classification using linear and non-linear methods, and unsupervised learning including clustering, matrix factorization methods, and outlier detection.
  • Experience leveraging cloud-based infrastructure-as-code, including CloudFormation, Bicep, or Terraform, to minimize deployment toil and enable solutions to be deployed across environments quickly and repeatably.
  • Demonstrated fluency in modern programming languages for data science, including at least Python, covering the full machine learning lifecycle such as data storage, feature engineering, model persistence, model inference, and observability, using open-source libraries.
  • Knowledge of one or more machine learning frameworks, including Scikit-Learn, TensorFlow, PyTorch, MxNet, or ONNX.
  • Familiarity with the architecture, performance characteristics, and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome.
  • A solid theoretical grounding in the mathematical core of major data science concepts, including statistics, linear algebra, and vector calculus.
  • A deep understanding of a class of modeling or analytical techniques, such as Bayesian modeling or time-series forecasting.
  • An undergraduate or advanced degree from a top academic program.
  • A genuine passion for technology and solving problems.
  • A pragmatic approach to solutioning and delivery.
  • Excellent verbal and written communication skills.
  • A clear commitment to creating impactful solutions that solve clients’ problems.
  • The ability to work fluidly and respectfully with the team.
  • Willingness to travel for targeted client or internal stakeholder meetings.
Responsibilities
  • Manage technical projects, including data engineering, model selection and design, and infrastructure deployment in internal and client environments.
  • Develop deep expertise in a particular industry, such as financial services or health and life sciences.
  • Develop methods and select approaches based on first-principles thinking, curiosity, and foundations in software engineering and development.
  • Work alongside Oliver Wyman partners in Digital and other practice groups.
  • Engage directly with clients to understand their business challenges and craft appropriate solutions in collaboration with Oliver Wyman Digital specialists and consultants.
  • Explore data, build models, and evaluate solution performance to resolve core business problems.
  • Explain, refine, and collaborate with stakeholders throughout the model-building journey.
  • Keep up with the state of the art in the relevant domain and develop familiarity with emerging modeling and data engineering methodologies.
  • Advocate for best practices in modeling, code hygiene, and data engineering.
  • Lead the development of proprietary statistical techniques, algorithms, or analytical tools on projects and for asset development.
  • Work with Partners and Principals to shape proposals that leverage data science and engineering capabilities.
Desired Qualifications
  • Experience presenting at high-impact data science conferences and solid connections to the data science community, such as through meetups or continuing relationships with academics.
  • Interest or background in financial services and capital markets, healthcare and life sciences, consumer, retail, energy, or transportation industries.
  • Expertise in programming languages beyond Python.
  • Familiarity with cloud-first considerations for Azure and AWS.
  • A history of compelling side projects or contributions to the open-source community.

Marsh is a diversified professional services firm that helps clients manage risk, secure insurance, and design risk-transfer programs. Its core work combines risk advisory with insurance brokerage, acting as a buyer of coverage and placing policies across multiple underwriters. It includes Mercer (HR consulting), Guy Carpenter (reinsurance brokerage), and Oliver Wyman (management consulting) under a holding structure. Its goal is to lower clients' financial risk and total cost of risk by combining risk transfer with advisory and consulting services across insurance, reinsurance, HR, and business strategy.

Company Size

10,001+

Company Stage

Seed

Total Funding

$110K

Headquarters

New York City, New York

Founded

1871

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q1 revenue reached $7.6 billion, with 5% organic growth.
  • EMEA revenue rose 14.1%, showing international expansion traction.
  • Japan acquisition and port-blockage products deepen specialty distribution and niche pricing power.

What critics are saying

  • Guy Carpenter organic growth missed estimates, signaling reinsurance share pressure.
  • Consulting demand depends on discretionary corporate spending and can decelerate quickly.
  • Rebranding concentrates reputation risk across Marsh McLennan's entire platform.

What makes Marsh unique

  • Broker-as-buyer model creates client-first insurance placement expertise.
  • Marsh McLennan scale combines brokerage, reinsurance, consulting, and talent advisory.
  • Specialty coverage spans cyber, climate, supply-chain, and geopolitical risks.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Vacation

Paid Sick Leave

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Employee Stock Purchase Plan

Professional Development Budget

Tuition Reimbursement

Mental Health Support

Paid Holidays

Company News

Smartbroker Holding AG
Jul 28th, 2025
Mitsubishi Electric to Transfer Shares of Insurance Subsidiary to Marsh Japan

28.07.2025 - Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has concluded a share transfer agreement under which it will transfer shares of its Tokyo-based subsidiary Mitsubishi Electric Insurance Service Co., Ltd. to Marsh Japan, Inc. on ...

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Aug 28th, 2024
Marsh Launches Port Blockage Insurance

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Business Wire
May 16th, 2024
Marsh Mclennan Stockholders Re-Elect Board Of Directors During 2024 Meeting

NEW YORK--(BUSINESS WIRE)--Marsh McLennan (NYSE: MMC), the world’s leading professional services firm in the areas of risk, strategy, and people, today announced the results of its 2024 Annual Meeting of Stockholders. Stockholders elected the entire slate of 2024 director nominees for a one-year term expiring at next year’s annual meeting. The 11 directors are: Anthony K. Anderson, John Q. Doyle, Oscar Fanjul, H. Edward Hanway, Judith Hartmann, Deborah C

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May 9th, 2024
Marsh Introduces Micassure

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May 2nd, 2024
Marsh Launches Sentrisk

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