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Data Science Jobs in Toronto, ON (NOW HIRING)

Deloitte

Data Science Manager

Toronto, ON

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics ...

Numeris

Senior Manager, Data Science

Toronto, ON

CA$120K - CA$150K/yr

The Senior Manager, Data Science is responsible for the design and validation of advanced analytics methodologies at Numeris. This role leads the review and application of machine learning ...

Rakuten Shop Style

Director, Data Science

Toronto, ON · On-site

Rakuten Rewards is seeking a Director of Data Science to lead our centralized data science organization, influence strategy and drive execution of machine learning and generative AI initiatives that ...

Lyft

Data Science Manager, Rider App

Toronto, ON · On-site

Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges-from shaping long-term business ...

Stripe

Data Scientist

Toronto, ON · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make ...

Royal Bank of Canada

Data Scientist

Toronto, ON

In this role, you will design and implement data science / machine learning solutions using RBC's enterprise suite of AI and analytics tools. The group specializes in taking full advantage of large ...

Meridian Credit Union

Data Scientist

Toronto, ON

CA$68.80K - CA$100K/yr

Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive models AI and Data Science research and development * Research, code, develop and implement ...

New

Td

Full Stack Data Science Engineer

Toronto, ON · On-site

CA$120K - CA$154K/yr

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business process owners. * Provide subject-matter expertise, mentorship, and guidance on advanced analytics and ...

Achievers

Data Scientist

Toronto, ON

How you'll shape Data Science at Achievers: * Work with a team of passionate data scientists on a variety of projects. Use both your IQ and EQ to support yourself, your team, and your company in ...

Td

Sr. Full Stack Data Science Engineer

Toronto, ON

CA$154K - CA$199.50K/yr

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business process owners. * Provide subject-matter expertise, mentorship, and guidance on advanced analytics and ...

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See Toronto, ON salary details

$22.4K

$111.5K

$200.9K

How much do data science jobs pay per year?

As of May 28, 2026, the average yearly pay for data science in Toronto, ON is $111,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,077.00 and $153,648.00 per year, depending on experience, location, and employer.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Toronto, ON? The most popular types of Data Science jobs in Toronto, ON are:
What are popular job titles related to Data Science jobs in Toronto, ON? For Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Toronto, ON look for? The top searched job categories for Data Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Science jobs? Cities near Toronto, ON with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Toronto, ON as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 76% Physical, 11% Hybrid, and 13% Remote job distribution, with an average salary of $111,528 per year, or $53.6 per hour.
Data Science Manager

Data Science Manager

Deloitte

Toronto, ON

Full-time

Life, PTO

Posted 17 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services

Job description

Job Type: Permanent 
Work Model: Hybrid 
Reference code: 132157   
Primary Location: Toronto, ON  
All Available Locations: Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
--
What will your typical day look like?

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics, customer analytics, marketing analytics, and optimization solutions. You will take a lead in delivering advanced analytics solutions and advisory services to high-growth organizations, managing and supporting a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

You will be responsible for client communication, from sales and business problem definition to final delivery, knowledge transfer, and model maintenance. You will guide your team through solutioning and delivery, including advanced analytics model design and development, insight generation, and the development of AI and ML models. As a key part of this process, you will make most appropriate model selection and ensure quality and delivery of statistical and AI/ML models, computations, and data ETL by the data science team, to deliver best-of-breed analytical solutions for clients’ business problems. You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will be a principal link between data science team and the client and will regularly communicate insights on client projects and provide support in planning and data collection. You will both lead and support pitches and proposal bids to drive business development.

About the team

Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-one experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

Enough about us, let’s talk about you

You are someone with these required skills, experience and qualifications:
•    5+ years of experience in applying analytics or model development using data in a professional context.
•    Significant experience with statistical techniques, data mining, optimization (linear programming), and predictive models.
•    Proficiency in hands-on data analysis and modeling using Python.
•    Experience with databases and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration.
•    Experience with cloud ML platforms (AWS, GCP, Azure) is an asset.
•    Experience with natural language processing, computer vision, and/or GenAI is an asset.
•    Advanced degrees (MSc, equivalent, or higher) in Statistics, Applied Mathematics, Mathematical Physics, Computer Science, or a related field is required.
•    BA/BSc degree in these fields will be considered if coupled with significant industry experience demonstrating proven success in leading complex projects.
It would be great for you to have some of these nice-to-haves as well:
•    Leadership or management experience, including project management in analytical, ML, or data-driven fields.
•    Proven track record in leading teams for end-to-end delivery of advanced analytics, data science, or AI/ML solutions.
•    Ability to understand the business significance of data, handle data ambiguity, develop creative analytical solutions, and interpret results from a business perspective.
•    Enthusiasm for solving complex problems with various analytical tools.
•    Strong oral and written communication skills, with the ability to convey complex technical information to non-technical stakeholders.
•    Interest in continuing to develop analytical and business development skills.
•    Professional services, consulting, or advisory experience is an asset.

Total Rewards


The salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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