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Political Data Science Jobs in Ontario (NOW HIRING)

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

New

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

New

... 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 ...

Implement data governance controls and ensure compliance with regulatory and internal security ... Bachelor's degree in Computer Science, Information Technology, or related field. * 8-10 years of ...

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 ...

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 ...

Bachelor's degree in Finance, Economics, Business, Political Science, Law, Accounting, Computer Science, Data Analytics, or a related field. * Prior internship experience at an investment bank ...

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Showing results 1-20

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 18, 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 the most commonly searched types of Political Data Science jobs in Ontario?

The most popular types of Political Data Science jobs in Ontario are:

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:

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.

Manager, Data Analytics / Data Governance - Governance, Risk & Compliance Services (GRCS)

KPMG

Ottawa, ON • On-site

Full-time

Re-posted 3 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

As a Manager in our Ottawa office, you’ll lead and work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve complex business issues from strategy to implementation.


What you will do
  • Support and perform in-depth data analysis to identify areas of risk, opportunities and recommend solutions for our clients
  • Work closely with clients, regulators, and other stakeholders to understand key business issues
  • Work in multi-disciplinary and cross-functional teams to translate business objectives into artificial intelligence approaches and objectives; strong aptitude for quickly learning business operational, process, delivery, and revenue models
  • Utilize a hypothesis-driven, problem-solving approach to design, construct, and rapidly test/iterate exploratory models that will reveal insight and opportunities for the client; proactively broaden and deepen client relationships by working with varying levels of client team members
  • Develop and review data governance and data management policies, data quality rules and data lineage. Configure data governance policies into data management tools utilized by our clients
  • Develop and utilize technical and industry knowledge to resolve complex client challenges and consult on leading practice solutions
  • Assist with drafting professional reports and other client deliverables, such as interactive dashboards, presentation materials and demos, findings and recommendations, summaries of analytical results and insights, etc.
  • Support business development by delivering thought leadership directly to clients, building assets and accelerators, and assisting in the creation of successful proposals
  • Utilize your understanding of modern AI tools, AI monitoring solutions, data governance and management to solve challenging business problems
  • Establish credibility and develop relationships with current and prospective clients
  • Provide support/assistance for identification of business opportunities, development of proposals, and prospective client presentations
  • Support client workshops to analyze current state operating models, architecture and analytics functions and co-develop and aspirational future state of data and analytics
  • Lead project workstreams and activities, providing coaching to other Consultants in areas of expertise

What you bring to the role
  • 5+ years of experience in Data Analytics or Data Governance roles, and 2+ years of leading teams/projects, ideally within a services/consulting organization
  • Certificate, diploma or degree in a relevant field from a recognized Canadian post-secondary institution, or an acceptable combination of education, training and experience within fields related to Data Analytics (including Artificial Intelligence, Data Science, Computer Science, Computer Engineering, etc.) or related to the Canadian Public Sector (Political Science, Public Policy and Administration, Digital Government, etc.)
  • Experience leading people / teams in a fast-paced environment
  • Independent ability to review data quality and data definitions and perform data cleansing and data management tasks
  • Experience utilizing generative AI tools for personal and work productivity, such as ChatGPT, Microsoft Copilot, Google Gemini, Perplexity, etc.
  • Experience developing presentations and client-facing reports to support project activities and synthesize findings from work performed into a cohesive final deliverable. Specific experience related to delivering presentations within a Public Sector industry context is preferred
  • Experience leading the facilitation of client-facing workshop sessions supporting current state assessments, definition of a target future state and/or identification of analytics use cases. Specific experience related to facilitating sessions within a Public Sector industry context is preferred
  • Experience reviewing data governance and management documentation, including but not limited to policies, procedures, roles, responsibilities and platforms
  • Experience with data governance and data management tools and platforms, including but not limited to Azure Purview, Databricks Unity Catalog, Snowflake, Informatica, Collibra, Alation or IBM Infosphere
  • Working knowledge in the various data management frameworks & regulations such as DAMA-DMBOK, EDM-DCAM, BCBS-239 or ISO 8000-1
  • Experience in reviewing database schemas and relationships, data dictionaries and definitions, and assessing these and their underlying datasets for data quality and relevance to business objectives
  • Experience or knowledge in one major cloud service: MS Azure (preferred), AWS, and GCP, including familiarity with cloud platform data architecture models and relevant tools for scalability, repeatability and performance to support overall solution and full-scope architecture design and build for our clients
  • Experience manipulating, processing and extracting values from large data sets using data transformation tools, including but not limited to Python, Power Query, Alteryx or Knime
  • Experience with data visualization tools including but not limited to Tableau, Power BI, Databricks or Qlik
  • Proven experience collaborating within multi-disciplinary teams to address challenges related to unstructured data processing across various industries
  • Ability to utilize data and analytics principles to address business challenges and to explain business value of data and analytics concepts, including data governance and management fundamentals
  • Superior communication skills, both written and verbal, with the ability to articulate technical concepts and their implications to stakeholders at all levels
  • Effectively use generative AI tools to streamline tasks, automate repetitive processes, accelerate data analysis, and reveal deeper insights that would otherwise require significant manual effort
  • Fluent or working proficiency language skills in both French and English

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $84,500 to $125,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 5+ years of experience in Data Analytics or Data Governance roles, and 2+ years of leading teams/projects, ideally within a services/consulting organization
  • Certificate, diploma or degree in a relevant field from a recognized Canadian post-secondary institution, or an acceptable combination of education, training and experience within fields related to Data Analytics (including Artificial Intelligence, Data Science, Computer Science, Computer Engineering, etc.) or related to the Canadian Public Sector (Political Science, Public Policy and Administration, Digital Government, etc.)
  • Experience leading people / teams in a fast-paced environment
  • Independent ability to review data quality and data definitions and perform data cleansing and data management tasks
  • Experience utilizing generative AI tools for personal and work productivity, such as ChatGPT, Microsoft Copilot, Google Gemini, Perplexity, etc.
  • Experience developing presentations and client-facing reports to support project activities and synthesize findings from work performed into a cohesive final deliverable. Specific experience related to delivering presentations within a Public Sector industry context is preferred
  • Experience leading the facilitation of client-facing workshop sessions supporting current state assessments, definition of a target future state and/or identification of analytics use cases. Specific experience related to facilitating sessions within a Public Sector industry context is preferred
  • Experience reviewing data governance and management documentation, including but not limited to policies, procedures, roles, responsibilities and platforms
  • Experience with data governance and data management tools and platforms, including but not limited to Azure Purview, Databricks Unity Catalog, Snowflake, Informatica, Collibra, Alation or IBM Infosphere
  • Working knowledge in the various data management frameworks & regulations such as DAMA-DMBOK, EDM-DCAM, BCBS-239 or ISO 8000-1
  • Experience in reviewing database schemas and relationships, data dictionaries and definitions, and assessing these and their underlying datasets for data quality and relevance to business objectives
  • Experience or knowledge in one major cloud service: MS Azure (preferred), AWS, and GCP, including familiarity with cloud platform data architecture models and relevant tools for scalability, repeatability and performance to support overall solution and full-scope architecture design and build for our clients
  • Experience manipulating, processing and extracting values from large data sets using data transformation tools, including but not limited to Python, Power Query, Alteryx or Knime
  • Experience with data visualization tools including but not limited to Tableau, Power BI, Databricks or Qlik
  • Proven experience collaborating within multi-disciplinary teams to address challenges related to unstructured data processing across various industries
  • Ability to utilize data and analytics principles to address business challenges and to explain business value of data and analytics concepts, including data governance and management fundamentals
  • Superior communication skills, both written and verbal, with the ability to articulate technical concepts and their implications to stakeholders at all levels
  • Effectively use generative AI tools to streamline tasks, automate repetitive processes, accelerate data analysis, and reveal deeper insights that would otherwise require significant manual effort
  • Fluent or working proficiency language skills in both French and English

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $84,500 to $125,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME