Lead Data Scientist

Who We Are

Oliver Wyman is a global leader in management consulting, with offices in over 50 cities across 30 countries. Our 4000+ professionals combine deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. We help clients optimize their business, improve IT and operations, and accelerate performance to seize attractive opportunities, consistently delivering innovative, customized solutions to CEOs and executive teams of top Global 1000 companies.

Practice Overview

At Oliver Wyman Digital, we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend digital technology with deep industry expertise to tackle disruption and create impact, accelerating and embedding digital transformation by building strong capabilities and culture. Our people co-create customer-focused solutions, modernize technology, harness value from data and analytics, and build resilience for future risks. We work collaboratively with clients to jointly define, design, and achieve lasting results.

The Role And Responsibilities

As a Lead Data Scientist at Oliver Wyman Digital, you will manage technical projects covering data engineering, model selection and design, and infrastructure deployment in both internal and client environments. You are expected to develop deep expertise in a particular industry (e.g., financial services, health and life sciences) while comfortably developing methods and selecting approaches based on first principles thinking, curiosity, and strong foundations in software engineering and development. You will work alongside Oliver Wyman partners and engage directly with clients to understand business challenges and craft solutions.

• 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 and developing familiarity with emerging modeling and data engineering methodologies.
• Advocating application of best practices in modeling, 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.

Your Experience & Qualifications

You are a well-rounded technologist with a wealth of real-world experience:

• 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 that deliver tangible, ongoing value, including building and deploying robust, complex production systems implementing modern data science methods at scale (supervised and unsupervised learning).
• Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enable rapid, repeatable solutions across environments.
• Demonstrated comfort and poise in time-boxed, high-consequence project environments where rapid design decisions are crucial.
• Fluency in modern programming languages for data science (i.e., Python, other expertise welcome), covering the full ML lifecycle (data storage, feature engineering, model persistence, model inference, observability) using open-source libraries.
• Knowledge of one or more machine learning frameworks (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 being 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 data science ideas, including deep understanding of a class of modeling or analytical techniques (e.g., Bayesian modeling, time-series forecasting) and fluency in mathematical principles and generalizations (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, academic relationships) is highly valued.
• Interest/background in Financial Services, capital markets, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries.

YOUR ATTRIBUTES

We value diversity in our team members and require:

• 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.

OUR VALUES & CULTURE

Oliver Wyman Digital is a rewarding, enjoyable, and balanced place to work. We offer rewarding work with major brands on exciting projects, supported by Oliver Wyman’s reputation as a “Best Company to Work For.” Our progressive employment culture features flat organizational structures, resolute I&D values, and merit-based progression, alongside comprehensive benefits including healthcare options and 401k matching. We foster enjoyable days through caring, mentoring, and development, providing opportunities for social impact. We are committed to balanced lives, offering flexible hours and work-from-home options to accommodate personal life.

How To Apply

If you like what you’ve read, we’d love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search. Please include a short note introducing yourself and what you’re looking for. The application process will include both technical testing and team fit interviews.

Oliver Wyman is an equal opportunity employer committed to diversity, working hard to make our teams balanced, representative, and diverse. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

The applicable base salary range for this role is $150,000 to $195,000, with final determination based on experience, skills, training, location, certifications, education, and applicable minimum wage requirements. This position may also be eligible for performance-based incentives. We offer a competitive total rewards package including health and welfare benefits, tuition assistance, 401K savings, and employee assistance programs.

Marsh is committed to embracing a diverse, inclusive, and flexible work environment. We aim to attract and retain the best people and embrace diversity in all its forms. If you require accommodation, please contact reasonableaccommodations@mmc.com.

Marsh is committed to hybrid work, expecting colleagues to be in their local office or onsite with clients at least three days per week, with office-based teams identifying at least one “anchor day” for full team in-person collaboration.

Key skills/competency

• Data Science
• Machine Learning
• Artificial Intelligence
• Cloud Computing (AWS/Azure)
• Python Programming
• Data Engineering
• Statistical Modeling
• Infrastructure-as-Code
• Solution Design
• Stakeholder Management