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Principal Applied AI/ML Scientist (Auth0 Lab)
Okta
Toronto, ON
We are looking for a Principal Applied AI Scientist to take product ideas from 0 to 1 and define how we do new AI product innovation. You'll have a lot of independence: you set the…
Principal Data Scientist-Gen AI, Machine Learning (10042)
Extreme Networks
Toronto, Ontario
Full-time
Principal Data Scientist – (Gen AI, Machine Learning)
Principal Data and Applied Scientist
SAP
Montreal, QC
…enterprise data and process context in the world. As a Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure…
Principal Data and Applied Scientist
SAP
Montreal, QC
…enterprise data and process context in the world. As a Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure…
Architect, Machine Learning (Principal Scientist)
Kinaxis
Canada
Full-time
What makes this team unique is that we operate at the intersection of applied research, product innovation, and customer impact. We explore new methods, develop novel approaches, and turn…
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
Full-time
…marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist, you’ll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus…
Principal Data Scientist
AutoScout24
Toronto, Ontario
Full-time
…marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist, you’ll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus…
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
…marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist, you’ll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus…
Principal Data Scientist
Mastercard
Toronto, ON
Full-time
Mastercard is seeking a Principal Data Scientist to lead the development and delivery of advanced AI and machine learning solutions for Mastercard’s Ethoca product that enhances consumer…
Senior Data Scientist
Flinks
Remote, Canada
Remote
We're hiring a Senior Data Scientist to own machine-learning models end to end - from framing the problem and designing the model through the training pipeline, deployment to a live…
SCIENTIFIQUE DES DONNÉES, ASKUITY, CANADA
The Home Depot Canada
Toronto, ON
Other
As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its…
Data Scientist (Askuity division)
The Home Depot Canada
Toronto, ON
Other
As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its…
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
Full-time
…Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong…

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Public Sector Pension Investment Board

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

Montreal, QC, Canada

Full-time

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

You will source, clean, and maintain complex datasets while designing data pipelines to support investment decisions through statistical and machine learning modeling. Additionally, you will partner with senior team members to create dashboards and visualizations that translate technical insights for deal teams and stakeholders.

Requirements

Candidates must hold a Bachelor's or Master's degree in a quantitative field and possess two to three years of experience in data science or quantitative analytics. Strong proficiency in Python and SQL is required, along with experience in data extraction and statistical modeling.

Experience

2 to 5 years

Education

bachelor degree
postgraduate degree

Working hours

40 hours per week

Job type

Full-time
Temporary

Work arrangement

Hybrid

Days in the office

Skills

Python
SQL
Data Science
Machine Learning
Statistical Modeling
Data Engineering
Data Visualization
Databricks
Snowflake
Power BI
Tableau
Data Extraction
Data Wrangling
Financial Analysis
Communication

Benefits

Competitive pension plans
Virtual healthcare services
Wellness programs
Gender-inclusive paid family leave
Family-building support
Vacation days
Summer Friday afternoons off

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Artificial Intelligence
Python
SQL
Machine Learning
Data Engineering
Databricks
Snowflake
Power BI
Tableau
Financial Services
Alpha Generation
Market Data
Alternative Data
Statistical Modeling
Data Pipelines
Investment Analysis
Public Markets
Real Estate
Natural Resources
LLM
Quantitative Analytics
Data Visualization
Cloud Platforms
Lakehouse

Original job description

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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