Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)

Public Sector Pension Investment Board • Montreal, QC

1d • Hybrid

About The Position

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. 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. Your responsibilities will include sourcing, building, cleaning, and maintaining datasets, designing and building data extraction and processing pipelines, conducting hands-on analysis and statistical/ML modeling, and partnering with senior team members to turn ad-hoc analyses into reusable tools. You will also develop a working knowledge of sectors and datasets, prepare clear materials for stakeholders, support presentations, contribute to the team's toolkit including LLM-powered tools, and take ownership of analyses and projects end-to-end.

Requirements

• 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)

Nice To Haves

• Experience extracting and structuring data from varied sources (documents, filings, APIs, vendor feeds)
• Experience working with cloud / lakehouse data platforms (e.g., Databricks, Snowflake)
• Experience working with alternative or unconventional datasets (e.g., geolocation, foot traffic, satellite, or pricing data)
• Prior exposure to investment, and deals in Public Markets, Real Estate or Natural Resources

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level