Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions.
____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges.
We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results.
____ THE ROLE AND RESPONSIBILITIES As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. Your responsibilities will include:
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 ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and:
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 Leveraging cloud-based infrastructure-as-code 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 Demonstrated fluency in modern programming languages for data science, covering the full ML lifecycle using open-source libraries Solid theoretical grounding in the mathematical core of the major ideas in data science Experience presenting at high-impact data science conferences is highly valued Interest/background in Financial Services, Healthcare, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES We do, however, ask that you have:
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 We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work.
Rewarding work
We've worked hard to earn our reputation for high quality work. Progressive employment
Flat organizational structures and a commitment to rewarding good work make for a progression path truly based on merit. Enjoyable days
We want our team members to build a career here—and to be happy. Balanced lives
Our work is demanding, and we want you to have the best work-life balance you can. ____ 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.
The application process will include both technical testing and team fit interviews.
Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. ____
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