Hybrid Lead Data Scientist — Digital Transformation

Oliver Wyman; New York (NY); Hybrid; USD 150,000 - 195,000; Full time

Benefits offered by this job

Flexible hours

Remote work options

Job summary

Oliver Wyman is seeking a Lead Data Scientist to drive data-driven strategies across industries. You will manage technical projects, oversee data engineering, model selection, and deployment in internal and client environments, collaborating with partners and principals.

You’ll develop deep expertise in financial services, healthcare, and other sectors, applying modern ML methods, scalable pipelines, and cloud-first approaches to deliver measurable impact for clients while mentoring colleagues.

Qualifications

• Technical background in data science, ML, AI, statistics or related quantitative field.
• Experience deploying large-scale production data systems and models.
• Proficiency in Python and ML frameworks; cloud-first deployment.

Responsibilities

• Lead data science projects including data engineering, model design and deployment.
• Collaborate with partners to shape proposals and deliver client-ready solutions.
• Develop and apply advanced statistical techniques and ML methods.
• Advocate best practices in modelling, code hygiene and data engineering.

Skills

Data science

Machine learning

Python

Cloud & data engineering

Model deployment

Statistics

Communication

Education

Bachelor’s degree or higher

Tools

Python

Scikit-Learn

TensorFlow

PyTorch

Azure/AWS cloud

Terraform / IaC

Job description

Oliver Wyman is seeking a Lead Data Scientist to drive data-driven strategies across industries. You will manage technical projects, oversee data engineering, model selection, and deployment in internal and client environments, collaborating with partners and principals.

You’ll develop deep expertise in financial services, healthcare, and other sectors, applying modern ML methods, scalable pipelines, and cloud-first approaches to deliver measurable impact for clients while mentoring colleagues.