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Data Mining Jobs in Ontario (NOW HIRING)

Cogeco

Data Scientist

Burlington, ON · On-site

The Data Scientist applies expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced ...

Meridian Credit Union

Data Scientist

Toronto, ON · On-site

CA$68K - CA$100K/yr

Leverage statistical techniques, machine learning, and data mining. This role involves building robust data models, and leveraging a suite of Microsoft and other AI and data technologies to ensure ...

BMO Capital Markets

Data and Reporting Analyst

Toronto, ON · Hybrid

CA$56K - CA$103K/yr

Data mining. * Illustration. * Creative thinking. * Problem Solving. Intermediate level of proficiency: * Insights design. * Insights development and reporting. * Verbal & written communication ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build ... Experience with data visualization platforms such as Power BI, Tableau, or Looker. * Strong ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build ... Experience with data visualization platforms such as Power BI, Tableau, or Looker. * Strong ...

Intact Financial

Data Scientist II

Mississauga, ON · On-site

... statistics, data mining, and/or text mining, with evidence of delivering real-world outcomes. * Strong Python skills and Git-based development practices (e.g., version control, peer review ...

Intact Financial

Data Scientist II

Ajax, ON · On-site

... statistics, data mining, and/or text mining, with evidence of delivering real-world outcomes. * Strong Python skills and Git-based development practices (e.g., version control, peer review ...

Intact Financial

Data Scientist II

Toronto, ON · On-site

... statistics, data mining, and/or text mining, with evidence of delivering real-world outcomes. * Strong Python skills and Git-based development practices (e.g., version control, peer review ...

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All JobsData Mining JobsData Mining Jobs in Ontario

Data Mining information

See Ontario salary details

$9

$35

$73

How much do data mining jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for data mining in Ontario is $35.64, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $44.23 per hour, depending on experience, location, and employer.

What is a data mining?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

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

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are some common challenges faced by professionals in data mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.

What are the most commonly searched types of Data Mining jobs in Ontario?

The most popular types of Data Mining jobs in Ontario are:

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

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

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

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

What cities in Ontario are hiring for Data Mining jobs?

Cities in Ontario with the most Data Mining job openings:

Data Mining jobs near you
Infographic showing various Data Mining job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,134 per year, or $35.6 per hour.

ATPUO - Winter 2027 - ADM3308M - Business Data Mining

Ottawa, ON

Uottawa
See more jobs at Uottawaexternal

CA$239.47/hr

Part-time

PTO

Posted 2 days ago

New

Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Ecole de gestion Telfer / Telfer School of Management

Academic Unit:

Telfer School of Management

Course Title:

Business Data Mining

Course Code:

ADM3308

Section:

M

Course Description:

Introduction to the data mining process, data mining tasks including classification, clustering and association rules, as well as data mining modeling techniques such as decision trees, neural networks, and regression analysis. Introduction to the management of Big Data and Big Data Analytics. Examples in various managerial applications including Customer Relationship Management, marketing, sales, credit scoring, churn, and survival analysis.

Posting limited to:

Professeur a temps-partiel etudiant/ Student Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/08/24

Applications must be received BEFORE (YYYY/MM/DD):

2026/09/24

Expected Enrolment:

60

Approval date:

2026/08/24

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

C

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Mardi | Tuesday 17:30-19:00 Jeudi | Thursday 17:30-19:00 -

Requirements:

Must have an MBA or Master's Degree (PhD preferred) in an area directly related to the course and demonstrate recent relevant experience in the area of the course. Must also have teaching experience, preferably in the area of Business Data Mining.

Teaching mode:

Please note that the teaching method will be delivered in person. Teaching method might incur changes due to health measures or other reasons.

Additional Information and/or Comments:

This section first prioritizes PhD. candidates in an area directly related to the course and demonstrate recent relevant experience in the area of the course.

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

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