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Data Science Manager Jobs in Quebec (NOW HIRING)

Mentor junior and mid-level practitioners through technical guidance, quality review, and best-practice sharing, without formal people-management responsibility. * Improve data science delivery by ...

Communicate progress weekly to your manager and other team members. Your team Within the Risk ... Bachelor's degree in a program related to the role, such as statistics, actuarial science, data ...

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... data science, analytical skills and mastery of visualisation and programming tools. Your job ... Implement performance indicators (KPIs) and risk indicators (KRI) for senior management and ...

Keep up with the latest trends and methodologies in data science and incorporate them into your ... Time Management: Strong organizational and time management skills to handle multiple projects and ...

Keep up with the latest trends and methodologies in data science and incorporate them into your ... Time Management: Strong organizational and time management skills to handle multiple projects and ...

Ensure proper needs analysis and stakeholder management related to these initiatives. * Configure ... Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or ...

Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ...

Manage and coach the individual Chapter Area Leads and Team Leads for Data Science, Data Engineering, Data Architecture, and Data Analytics, guiding them to balance operational output with functional ...

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Data Science Manager information

See Quebec salary details

$80.5K

$153K

$207K

How much do data science manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science manager in Quebec is $152,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $183,000.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Quebec?

The most popular types of Data Science jobs in Quebec are:

What job categories do people searching Data Science Manager jobs in Quebec look for?

The top searched job categories for Data Science Manager jobs in Quebec are:

What cities in Quebec are hiring for Data Science Manager jobs?

Cities in Quebec with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $152,976 per year, or $73.5 per hour.

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

PSP Investments

Montreal, QC โ€ข Hybrid

Full-time

Retirement, PTO

Posted 11 days ago


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 thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal 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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