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Summer Math Jobs in Montreal, QC (NOW HIRING)

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Summer Math information

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How much do summer math jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for summer math in Montreal, QC is $20.73, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $23.49 per hour, depending on experience, location, and employer.

What are summer math jobs?

Summer math jobs include temporary and seasonal roles in which you teach or tutor students over the summer months. As a summer math teacher or tutor, you work for educational programs in summer schools, tutoring centers, and in private sessions. Your main duties include planning mathematics lessons and instructing students in a classroom setting. You help pupils to understand complex mathematical processes and offer helpful study methods and strategies. Depending on the age of your students and the setting, you devise engaging math games and activities to reinforce concepts. Keeping students engaged and creating a welcoming and educational environment are key responsibilities.

What are summer math programs?

Summer Math programs are educational opportunities offered during the summer months to help students strengthen their math skills, catch up on missed concepts, or get ahead for the upcoming school year. These programs can take place in-person or online and are available for a range of grade levels. They often include interactive lessons, practice problems, and sometimes enrichment activities to make learning math more engaging. Participating in summer math can help prevent learning loss and boost students' confidence in mathematics.

What are the typical responsibilities of a summer math teacher?

In a Summer Math teaching role, you can expect to deliver engaging math lessons to students, often in small groups or one-on-one settings. Responsibilities include planning creative activities, assessing student progress, and providing targeted support to help students strengthen foundational math skills. You'll also collaborate with other educators to adapt curriculum materials and share best practices, ensuring a supportive and effective learning environment. Flexibility and strong communication are important, as you may work with students at various grade levels and abilities.

What are the key skills and qualifications needed to thrive as a summer math teacher?

To thrive as a Summer Math Teacher, you need solid knowledge of mathematics, effective lesson planning skills, and a relevant teaching credential or coursework in education. Familiarity with educational technology, classroom management systems, and math-specific software like GeoGebra or Desmos is often required. Excellent communication, patience, and creativity help engage students and adapt to diverse learning styles in a condensed timeframe. These skills are crucial for delivering effective instruction, maintaining student interest, and achieving learning outcomes during an accelerated summer program.

What are the most commonly searched types of Math jobs in Montreal, QC?

The most popular types of Math jobs in Montreal, QC are:

What are popular job titles related to Summer Math jobs in Montreal, QC?

For Summer Math jobs in Montreal, QC, the most frequently searched job titles are:

Infographic showing various Summer Math job openings in Montreal, QC as of August 2026, with employment types broken down into 76% Full Time, 22% Part Time, 1% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $43,112 per year, or $20.7 per hour.

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

PSP Investments

Montreal, QC • Hybrid

Full-time

Retirement, PTO

Posted 26 days ago


Key responsibilities

  • Source, build, clean, and maintain datasets that feed analysis and tools.

  • Design and build data extraction and processing pipelines from raw sources.

  • Conduct analysis and statistical/machine learning modeling to generate insights for investment decisions.


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.


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