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

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Source, build, clean and maintain datasets for investment analyses

  • Design data extraction and processing pipelines for messy raw sources

  • Run statistical and ML analysis to help deal teams validate investment theses

  • Turn ad-hoc analyses into dashboards and reusable tools for deal teams

  • Own discrete analyses end-to-end, from data sourcing to stakeholder output

From the employer’s posting
Source, build, clean, and maintain datasets that feed Alpha Science's analyses and tools
Design and build data extraction and processing pipelines that turn raw, often messy sources
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
Take ownership of discrete analyses and projects end-to-end, from data sourcing through to the final stakeholder-ready output

What you’ll bring

All qualifications

Core experience

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

About Investpsp

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

In the employer’s words · Read in context

Apply at Investpsp

Posting record

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Status in our records
Live
First seen by us
Aug 13, 202683 days ago
Recorded sightings
63
Last seen by us
Nov 4, 2026
Employer says posted
Aug 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 83

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Investpsp is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
  • Power BI
  • Snowflake
  • Tableau
Where the posting names them
- 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
- 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
- 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

Your next step

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

  • 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.



Visit us on www.investpsp.com/en/

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Montreal

- 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
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