Oliver Wyman - Sr. Lead Data Scientist or Principal Data Scientist

US063 Oliver Wyman, LLC; Toronto; On-site; CAD 150,000 - 195,000; Full time

Job summary

A global management consulting firm in Toronto is seeking a data engineer to lead technical projects, manage data engineering, and deliver customized solutions. Ideal candidates will have a strong background in computer science, experience in deploying technical solutions, and proficiency in Python. This role offers a competitive salary and benefits, plus opportunities for flexible work arrangements.

Benefits

Health and welfare benefits

Tuition assistance

401(k) retirement program

Performance-based incentives

Qualifications

• Technical background in computer science, data science, or related fields.
• Experience with large-scale technical solution deployment.
• Fluency in Python and familiarity with full ML lifecycle.
• Understanding of statistical principles and machine-learning frameworks.

Responsibilities

• Lead technical projects managing data engineering and model design.
• Build models and evaluate solution performance to solve business problems.
• Collaborate with stakeholders to refine model-building processes.
• Develop proprietary statistical techniques and analytical tools.

Skills

Data engineering

Machine learning

Python

Statistical analysis

Cloud infrastructure

Education

Undergraduate or advanced degree

Tools

Scikit-Learn

TensorFlow

PyTorch

Azure

AWS

Job description

WHO WE ARE

Oliver Wyman is a global leader in management consulting with offices in over 70 cities across 30 countries. With more than 6,000 professionals, we combine deep industry knowledge with expertise in strategy, operations, risk management and organization transformation to help clients optimize their business and accelerate performance.

PRACTICE OVERVIEW

We partner with clients to tackle digital challenges, blending technology with industry expertise to modernize operations, harness data and analytics, and build resilience against future risks.

THE ROLE AND RESPONSIBILITIES

You will lead technical projects, managing data engineering, model selection, design, and infrastructure deployment in internal and client environments. You will work closely with partners, principals, and clients to understand business challenges and deliver customized solutions.

• Explore data, build models, and evaluate solution performance to solve core business problems.
• Explain, refine, and collaborate with stakeholders throughout the model‑building journey.
• Stay current on domain and emerging data‑engineering methodologies.
• Advocate best practices in modelling, code hygiene, and data engineering.
• Lead the development of proprietary statistical techniques, algorithms, or analytical tools.
• Collaborate with partners and principals to shape proposals that leverage our data‑science capabilities.

YOUR EXPERIENCE & QUALIFICATIONS

• Technical background in computer science, data science, machine learning, AI, statistics, or related quantitative fields.
• Track record of designing and deploying large‑scale technical solutions that deliver tangible value. Experience with production systems, supervised and unsupervised learning, and cloud‑based infrastructure‑as‑code is essential.
• Fluency in modern programming languages for data science (Python is required; other expertise welcome) covering the full ML lifecycle.
• Proficiency with machine‑learning frameworks (Scikit‑Learn, TensorFlow, PyTorch, etc.) and modern storage/computation frameworks, with Azure and AWS knowledge.
• Strong theoretical grounding in the mathematical core of data science: statistics, linear algebra, vector calculus, and advanced topics such as Bayesian modeling or time‑series forecasting.
• Experience presenting at data‑science conferences and engagement with the community is highly valued.
• Interest in financial services, capital markets, healthcare, life sciences, consumer, retail, energy, or transportation industries.

YOUR ATTRIBUTES

• Undergraduate or advanced degree from a top academic program.
• Genuine passion for technology and solving problems.
• Pragmatic approach to solutioning and delivery.
• Excellent verbal and written communication skills.
• Commitment to creating impactful solutions for clients.
• Ability to work fluidly and respectfully with a talented team.
• Willingness to travel for client and internal stakeholder meetings.

OUR VALUES & CULTURE

We offer a rewarding, enjoyable, and balanced work environment with a focus on high‑quality work, merit‑based progression, continuous improvement, and a supportive culture. We support flexible hours, remote work options, and encourage social impact and community engagement.

HOW TO APPLY

Submit your CV and a short note introducing yourself and what you’re looking for. The application process includes technical testing and team‑fit interviews.

EEO STATEMENT

Oliver Wyman is an equal‑opportunity employer. Marsh McLennan and its affiliates are EOE minority, female, disability, veteran, sexual orientation, and gender identity employers.

COMPENSATION & BENEFITS

Base salary range: $150,000 – $195,000, depending on experience, skills, and location. In addition to base pay, candidates may be eligible for performance‑based incentives. We offer health and welfare benefits, tuition assistance, 401(k), and other retirement programs.