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Political Data Science Jobs in Ontario (NOW HIRING)

WinsAbove

CA$139K - CA$192K/yr

Technical in big data, data science and cloud (Azure & AWS). * Ability in data‑driven business ... ability, political affiliation, race, religion, sexual orientation, socio‑economic status ...

Mercedes-Benz Cars UK Limited

Bachelor's Degree in Political Science or Law * Interest in Data Protection, Privacy, Compliance, and Corporate Governance. * Excellent research, communication, and presentation preparation skills.

Daimler

Bachelor's Degree in Political Science or Law * Interest in Data Protection, Privacy, Compliance, and Corporate Governance. * Excellent research, communication, and presentation preparation skills.

Amd

Applied Research Scientist

Markham, ON

... data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and ... A PhD or master's degree or equivalent in machine learning, computer science, artificial ...

University of Toronto

CA$145K - CA$185K/yr

The successful candidate's research should be interdisciplinary and draw on economics, finance,accounting, management, political science, philosophy, or data science. The successful candidate should ...

Hatch

Government Relations Student

Mississauga, ON · On-site

You will also support data management efforts - assisting with the collection, inputting, and ... Currently enrolled in a Bachelor's degree program in Political Science, Public Policy / Government ...

Hatch

Government Relations Student

Mississauga, ON · On-site

You will also support data management efforts - assisting with the collection, inputting, and ... Currently enrolled in a Bachelor's degree program in Political Science, Public Policy / Government ...

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All JobsPolitical Data Science JobsPolitical Data Science Jobs in Ontario

Political Data Science information

See Ontario salary details

$21K

$95.9K

$197K

How much do political data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for political data science in Ontario is $95,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a political data science?

A Political Data Science job involves analyzing political data to uncover trends, inform policy decisions, and support political campaigns or organizations. Professionals in this field use statistical modeling, machine learning, and data visualization to interpret voter behavior, public opinion, and legislative patterns. They often work with large datasets from surveys, elections, and social media to provide data-driven insights.

What are the typical daily responsibilities of a political data science professional?

Political Data Science professionals typically spend their days collecting and cleaning large datasets related to voter behavior, public opinion, or legislative trends, and developing statistical models to interpret this information. They collaborate closely with campaign strategists, policy analysts, and communication teams to translate data-driven findings into actionable strategies. Presenting results through visualizations and clear reports is a key part of the job, ensuring that technical insights can influence decisions. The work often involves managing multiple projects simultaneously and adapting quickly to the fast-paced environment of politics and public policy.

What are the key skills and qualifications needed to thrive in political data science, and why are they important?

To thrive in Political Data Science, you need expertise in statistics, quantitative research methods, and programming (such as Python or R), often supported by a degree in data science, political science, or a related field. Familiarity with data visualization tools like Tableau, statistical software, and experience with databases and big data platforms are typically important, and certifications in data analytics can be an asset. Strong analytical thinking, collaboration, and effective communication skills help you explain complex findings to non-technical stakeholders. These abilities are crucial for providing actionable insights that influence strategic decisions in political campaigns, policy analysis, or governmental organizations.

What are popular job titles related to Political Data Science jobs in Ontario?

For Political Data Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Political Data Science jobs in Ontario look for?

The top searched job categories for Political Data Science jobs in Ontario are:

Political Data Science jobs near you
Infographic showing various Political Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $95,878 per year, or $46.1 per hour.

Research & Development Associate - Entity Resolution

Investigative Journalism Foundation

Toronto, ON • On-site

CA$25/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

The Faculty of Information at the University of Toronto invites applications for a Research & Development Associate as part of Professor Rohan Alexander’s NSERC Alliance project, Novel Statistical and Machine Learning Algorithms for Analysis of Canadian Political Donations and Lobbying Data [ALLRP 599949-24]. 


The successful candidate will work closely with the grant’s industry partner, the Investigative Journalism Foundation (IJF). The successful candidate will work 15-20 hours per week from September through April. You will be paid $25/hour initially with the potential for increases as you gain experience. They must be available to work in person on either Monday or Wednesday at the IJF’s downtown Toronto office.


The deadline to apply is 5:00pm ET on Thursday August 27.


About the Investigative Journalism Foundation


The (IJF) is a nonprofit newsroom focused on public-interest journalism. We are a new kind of media outlet, built around databases on who donates to politicians across Canada, who lobbies them, and how the government spends your money.


The IJF is rapidly growing and is proud to be named one of the world’s most innovative media companies by Fast Company magazine. We were also selected for Fast Forward’s accelerator for tech non-profits, won an Anthem Award for our Open By Default database, two gold medals at the Canadian Online Publishing Awards and the Product of the Year award from LION Publishers.


As a nonprofit, nonpartisan media outlet, our primary purpose is to serve the public. We do this by publishing in-depth investigative journalism that speaks truth to power. Our databases are also used by other journalists, policymakers and academics seeking to increase transparency and strengthen Canadian democracy.


About this job


The successful candidate will work with the IJF’s technical team on one of several software projects aimed at cleaning, joining and analyzing Canadian political data. These projects include:


  1. Entity Resolution: resolve many separate references like “Rogers Comms” into one Rogers entity
  2. Municipal Decisions: scrape and parse procedural documents from Canada’s 130 largest municipalities
  3. Identifying Local News: crawl the web to identify items from a news outlet local to a given geographical area


We are interested in applicants who have experience developing software with collaborators, ideally by some prior work experience and in a production environment. However, if you have good fundamentals and clear communication, we want to hear from you. 


Applicants should be comfortable with Python and its data science ecosystem. Applicants should also have experience with managing repositories on GitHub. The IJF has two technical specialties, web scraping and NLP, and experience in either is an asset. These technologies include: 


  • Concurrent Python with asyncio
  • HTTP, HTML parsing, and browser automation via Playwright
  • Deep Learning with PyTorch
  • LLM invocation and prompt-engineering with the openai package


Beyond these, familiarity with any of the rest of our stack is also a plus, including:


  • PostgreSQL
  • Pydantic, SQLAlchemy and FastAPI
  • Docker
  • AWS S3 and ECS
  • NextJS and React


This NSERC funded-project uses these datasets as the basis of research articles. Success in this role means establishing a production-pipeline that results in useable datasets. You would be expected to write technical notes to support research using this dataset or indeed about the creation of the dataset itself that could be submitted to academic journals or conferences.


How to apply


Please fill out the form here https://theijf.applytojobs.ca/technical/50215. It will ask you for your CV, all academic transcripts, and a cover letter telling us how your skills are a fit for the IJF’s mission, as well as links to up to three repositories or papers you worked on which you’re particularly proud of. With the links, please include a few sentences outlining what role you played in this project and how it best demonstrates you have the skills outlined in the “About this job” section above.

Apply