Oliver Wyman - Summer Analyst 2027 - Data and Analytics (DNA) - Toronto

Marsh McLennan; Toronto; On-site; CAD 36,000 - 54,000; Full time

Job summary

Oliver Wyman invites applicants for an 8-week Summer Analyst 2027 - Data and Analytics (DNA) internship in Toronto. You will contribute to data analytics, model development and validation, working closely with clients and team members.

The role emphasizes strong technical skills, collaboration, and delivering high-quality work. Some client-site travel may be required, with flexible hours and a focus on work-life balance.

Qualifications

• Student pursuing a Bachelor’s or Master’s degree in a quantitative discipline.
• Strong analytics and communication skills.
• Experience in advanced analytics and data manipulation - R, SQL, Python.
• Ability to work effectively in a team while meeting deadlines independently.
• Able to find innovative, practical and flexible solutions to business issues.
• Excellent command of English (verbal and written).

Responsibilities

• Work as part of a small, fast-growing team in coordination with other Oliver Wyman groups and clients.
• Handle large, complex datasets to produce customized analyses and advanced models.
• Develop or validate models with guidance from experienced managers.
• Summarize, present and document analyses and features in client-ready formats.

Skills

Bachelor's/Master's degree

Analytics

R/SQL/Python

Team collaboration

English proficiency

Education

Bachelor/Master in quantitative field

Tools

R

SQL

Python

Job description

Company:

Oliver Wyman

Description:

Job title: Summer Analyst 2027 - Data and Analytics (DNA)

Location: Toronto Office only

Internship length: 8 weeks

Eligibility: Class of 2028 grads only (bachelor’s & master’s);

Oliver Wyman does not offer sponsorship for this position. Please note that CPT and OPT are restricted forms of work authorization.

Application Deadline: October 11th, 2026 11:59 PM ET

Who We Are

Oliver Wyman is a global management consultancy working across all areas of industry, financial services, government, and non-profit organizations. Clients approach us with their most significant challenges, and we assemble teams of experts to address each facet of these complex issues. Together, we create breakthroughs that lead to remarkable impact.

Within Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and is operating globally. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the firm to cover a global footprint, working across multiple industries including, but not limited to, Financial Services, Climate & Sustainability, Energy, Retail, and Transportation.

We believe in the power of diverse perspectives and collaborative teams to drive innovation. Our team comes from a wide range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work. At Oliver Wyman and within DNA, we are proud of the values we uphold that guide us every day in how we work and collaborate. We are committed to fostering an inclusive environment where everyone can thrive and reach their full potential.

The role:

This 8-week summer internship offers excellent growth opportunities for highly motivated college students from quantitative disciplines with some exposure to data analytics, model development and/or model validation.

This is a client-facing, project-based analytics role, and some travel to client sites may be expected as part of building client relationships and setting projects on a solid foundation, but most of our work can be conducted from Raleigh. We will make flexible working hours and market leading work life balance a priority considering your individual needs.

The ideal candidates will possess strong technical skills, capability to work in teams, deliver pieces of work efficiently and under high quality standards and have an open and flexible mindset.

Responsibilities will include:

• You will work as part of our small, fast-growing team, in coordination with other Oliver Wyman teams and clients
• You will work with large and complex datasets producing customized analyses and advanced models using statistical techniques for the client’s needs
• You will work on model development or validation with guidance from experienced managers
• You will work on summarizing, presenting and documenting the performed analyses and features of the developed solutions in client-ready formats

Required skills and experience:

• Working towards a Bachelor’s or Master’s degree in a quantitative discipline, e.g. Mathematics, Statistics, Physics, Economics, Data Science, Computer Science or Engineering
• Strong analytics and communication skills
• Experience in advanced analytics and data manipulation - R, SQL, Python
• Experience to work effectively and collaboratively in a team, while being sufficiently self-directed to meet deadlines and produce high-quality output when working independently
• Be able to find innovative, practical and flexible solutions to business issues
• Excellent command of English language (verbal and written)