Marsh · 1 day ago
Oliver Wyman - Sr. Lead Data Scientist or Principal Data Scientist
Boston, MA
Full-time
Hybrid
Senior Level, Lead/Staff
$150K/yr - $195K/yrOliver Wyman is a global leader in management consulting, and they are seeking a Senior Lead Data Scientist to manage technical projects including data engineering and model design. The role involves collaborating with clients to understand their challenges and delivering tailored data-driven solutions.
ConsultingInsuranceRisk Management
Responsibilities
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
Keeping up with your domain’s state of the art & developing familiarity with emerging modelling and data engineering methodologies
Advocating application of best practices in modelling, code hygiene and data engineering
Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development
Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities
Qualification
Required
Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science
Compelling track record of designing and deploying large-scale 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 learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.)
Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably
Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly
Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc
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 history of compelling side projects or contributions to the Open-Source community is valued but not required
Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.)
Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus
Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued
Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries
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 communication skills, both verbal and written
A clear commitment to creating impactful solutions that solve our clients' problems
The ability to work fluidly and respectfully with our incredibly talented team
Willingness to travel for targeted client and/or internal stakeholder meetings
Benefits
Health and welfare benefits
Tuition assistance
401K savings and other retirement programs
Employee assistance programs
Company
Marsh
Marsh provides insurance brokering and risk management services for enterprises.
Founded in 1871
10001+ employees
H1B Sponsorship
Marsh has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (26)
2024 (30)
2023 (39)
2022 (70)
2021 (34)
2020 (38)
Funding
Current Stage
Late StageTotal Funding
$0.21M2022-07-01Series Unknown· $0.21M
Leadership Team
L
Levee Brooks
Chief Operating Officer, North America
David Liston
US and Canada Chief Commercial Officer
Recent News
Insurance News in the United States
2025-12-13
2025-12-06
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