Oliver Wyman - Sr. Lead Data Scientist or Principal Data Scientist (Boston)

Company

Oliver Wyman

Boston, Chicago, New York, Dallas, Toronto, Montreal

Lead Data Scientist

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

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, 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 modelling, 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

Attributes

• 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

• Rewarding work
  We’ve worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman’s status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support, and recognition.
• Progressive employment
  Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time.
• Enjoyable days
  We want our team members to build a career here—and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other.
  This commitment also leads to opportunities for social impact and community work on company time.
• Balanced lives
  Our work is demanding, and we want you to have the best work‑life balance you can.

Salary & Benefits

The applicable base salary range for this role is $150,00 to $195,000.

In addition to the base salary, this position may be eligible for performance‑based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

We’ll work with you to accommodate your personal life with flexible hours and the ability to work from home.

All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office‑based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Equal Opportunity

Oliver Wyman is an equal opportunity employer.

Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative and diverse.

Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/SexualOrientation/Gender Identity employers.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting View email address on apply.placed-app.com.