Oliver Wyman — Software Developer — Data & Analytics (DNA) Team

Role overview

Workplace

• Hybrid role requiring at least three days per week in the Montreal office or onsite with clients.

Responsibilities

• Own technical products and projects centered on AI, engaging with business functions and applying machine-learning expertise.
• Design and deliver systems and machine-learning models for commercially impactful real-world problems.
• Translate business problems and commercial opportunities into technical solutions by identifying needs beyond stated requirements.
• Challenge current systems and processes through technical excellence and innovation.
• Stay informed about AI progress and technology trends.
• Build, test, and iterate on solutions with users and deliver secure production technology in client environments.

Candidate qualifications

• Excellent full-stack programming and system-design skills.
• Recent hands-on Python experience; another backend language such as C#, .NET, Java, Rust, or C++ is ideal.
• Hands-on experience with at least one frontend technology or framework: React, TypeScript/JavaScript, or HTML/CSS.
• Experience with AI or machine-learning systems, including LLMs, prompt design, agentic workflows, evaluation harnesses, and retrieval pipelines.
• Understand APIs and integrations, SQL, version control, CI/CD, and security and access considerations for client deployments.
• Demonstrated ability to own an end-to-end project in an ambiguous setting.
• Communicate clearly and professionally with clients, colleagues, and non-technical business users.
• Undergraduate degree in computer science, mathematics, engineering, or a related field.
• Data-engineering experience with pipelines, databases or warehouses, and large-scale integration is a plus.
• Bring initiative, problem-solving ability, curiosity, motivation to learn, and interest in understanding business problems and markets.

Why join

• Work on varied projects with talented colleagues and industry experts across Oliver Wyman’s client base.
• Use technology and AI to deliver demonstrable business value while developing skills and having impact from day one.

Eligibility