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ABOUT US

We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.

We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong Kong.

Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world’s top companies. At PSP Investments, you’ll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.

ABOUT YOUR ROLE

As a Data Scientist, Data Science and Artificial Intelligence , you will play a hands-on role in harnessing data science to facilitate the generation of alpha for PSP. To this end, you will

• Work within a ten-person team, Alpha Science, dedicated to supporting investment decisions with AI across the whole pension fund and associated entities
• Source, build, clean, and maintain datasets that feed Alpha Science's analyses and tools, including market data, alternative data (geolocation, foot traffic, satellite, pricing) and portfolio company data
• Design and build data extraction and processing pipelines that turn raw, often messy sources, including documents, filings, and vendor feeds, into analysis-ready datasets
• Conduct hands-on analysis and statistical / ML modeling to draw out insights that help deal teams pressure-test, challenge, or validate their investment theses
• Partner with senior team members to turn ad-hoc analyses into dashboards, visualizations, and reusable tools for deal teams across PSP's asset classes
• Develop a working knowledge of the sectors and datasets within your coverage, building the judgment to identify the questions and analyses most relevant to deal teams' decision-making
• Prepare clear, well-structured materials that tell a compelling story with the data for both technical and non-technical stakeholders
• Support senior team members in presenting findings directly to deal teams and, where relevant, portfolio company management
• Contribute to and leverage the team's broader toolkit, including its LLM-powered tools, as relevant to the projects you're working on
• Take ownership of discrete analyses and projects end-to-end, from data sourcing through to the final stakeholder-ready output

WHAT YOU’LL NEED

• Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or any equivalent quantitative degree from a recognized university