Lead Data Scientist - Hybrid | Impactful ML & Strategy

Oliver Wyman; Chicago (IL); On-site; USD 150,000 - 195,000; Full time

Job summary

Oliver Wyman Digital is seeking a Lead Data Scientist to manage technical projects across data engineering, model selection, and deployment in client environments. You will collaborate with senior leaders to deliver data-driven solutions and drive industry-specific expertise in finance, health, or other sectors.

You will work with partners and other OW Digital specialists to craft appropriate solutions, employing modern ML techniques, cloud-first deployment, and scalable analytics across diverse

Qualifications

• Strong background in computer science, data science, ML, AI or statistics.
• Proven track record deploying large-scale technical solutions delivering business value.
• Fluency with ML lifecycle using open-source libraries (e.g., Python, Scikit-Learn, PyTorch).
• Experience presenting at conferences and engagement with DS community is valued.

Responsibilities

• Explore data, build models, and evaluate performance to solve business problems.
• Explain and refine models with stakeholders throughout development.
• Stay current with modelling and data engineering methods.
• Advocate best practices in modelling, code hygiene, and data engineering.
• Lead development of proprietary statistical techniques, algorithms, or tools.
• Collaborate with Partners and Principals to shape data science proposals.

Skills

Data science fundamentals

Production systems design

Python and ML libraries

Cloud infrastructure

Stakeholder communication

Rapid decision making

Education

Undergraduate or advanced degree (top program)

Tools

CloudFormation

Terraform

Azure/AWS

Job description

Oliver Wyman Digital is seeking a Lead Data Scientist to manage technical projects across data engineering, model selection, and deployment in client environments. You will collaborate with senior leaders to deliver data-driven solutions and drive industry-specific expertise in finance, health, or other sectors.

You will work with partners and other OW Digital specialists to craft appropriate solutions, employing modern ML techniques, cloud-first deployment, and scalable analytics across diverse