Data Scientist, AI for Investment Alpha

About Us

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

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 thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. 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
• Two to three (2-3) years of experience in data science, data engineering, or quantitative analytics, ideally within financial services, investing, or another analytically intensive environment
• Strong hands-on proficiency in Python and SQL for data extraction, ingestion, wrangling, analysis, and modeling
• Experience extracting and structuring data from varied sources (documents, filings, APIs, vendor feeds) is a strong asset
• Experience working with cloud / lakehouse data platforms (e.g., Databricks, Snowflake) is an asset
• Practical experience applying statistical or machine learning techniques to real-world, often messy datasets
• Experience building dashboards or visualizations (e.g., Power BI, Tableau, or Python-based visualization libraries)
• Experience working with alternative or unconventional datasets (e.g., geolocation, foot traffic, satellite, or pricing data) is an asset
• Prior exposure to investment, and deals in Public Markets, Real Estate or Natural Resources is an asset
• Resourceful and creative, with demonstrated ability to work in a fast-paced environment with shifting priorities
• Highly effective written and verbal communication
• Proficiency in English and French (or willingness to learn) (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)

We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

• Investment in career development
• Comprehensive group insurance plans
• Competitive pension plans
• Unlimited access to virtual healthcare services and wellness programs
• Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers
• A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance
• Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off
• A hybrid work model that includes four in-office days, Monday through Thursday
• The opportunity to work temporarily from another location in accordance with the applicable policy
• Benefits package may vary based on your employee type.

At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.

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