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Data Science Major Jobs in Ontario (NOW HIRING)

MBNA

SOC2, SWIFT, SOX). * Contribute to the Data Science Community of Practice, helping shape best ... We were one of the first major organisations to set goals on diversity in senior roles, create a ...

Bank of Scotland

SOC2, SWIFT, SOX). * Contribute to the Data Science Community of Practice, helping shape best ... We were one of the first major organisations to set goals on diversity in senior roles, create a ...

MBNA

SOC2, SWIFT, SOX). * Contribute to the Data Science Community of Practice, helping shape best ... We were one of the first major organisations to set goals on diversity in senior roles, create a ...

Lbg

SOC2, SWIFT, SOX). * Contribute to the Data Science Community of Practice, helping shape best ... We were one of the first major organisations to set goals on diversity in senior roles, create a ...

City of Toronto

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

Major Responsibilities: Data Visualization and Communication: * Compiles data/statistical reports ... Uses data science to formulate solutions and/or recommendations (i.e. including utilization of ...

Omnicom

Data Scientist (ML Engineer)

Toronto, ON

... across all major digital marketplaces for the world's leading brands. We give clients access to ... science tools including but not limited to sklearn, Pandas, keras and/or PyTorch Experience in ...

City of Toronto

DATA SPECIALIST

Toronto, ON

CA$5.1K/mo

Non-Union Number of Positions Open: 1 Posting Period: 31-Aug-2026 to 15-Sep-2026 Major ... Post-secondary degree or diploma in Database System Management or Computer Sciences, or an ...

Bits In Glass

Sr. Data Engineer

Toronto, ON · On-site

Strong working knowledge of at least one major cloud provider (AWS, Azure) regarding data storage ... Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related ...

Sun Life Financial

Senior Data Engineer

Toronto, ON

Work with our Data Science teams to implement data products for various use cases * Collaborate ... major Cloud technologies and programming languages for data processing and analytics * 3+ years ...

Dell, Inc.

Senior Solutions Principal

Toronto, ON

... analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

Work with our Data Science teams to implement data products for various use cases * Collaborate ... major Cloud technologies and programming languages for data processing and analytics * 3+ years ...

Sun Life Financial

Senior Data Engineer

Waterloo, ON · On-site

Work with our Data Science teams to implement data products for various use cases * Collaborate ... major Cloud technologies and programming languages for data processing and analytics * 3+ years ...

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Showing results 21-40

All JobsData Science Major JobsData Science Major Jobs in Ontario

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

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

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

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

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

What cities in Ontario are hiring for Data Science Major jobs?

Cities in Ontario with the most Data Science Major job openings:

Data Science Major jobs near you
Infographic showing various Data Science Major 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.

Lead Data Scientist

MBNA

Hybrid

Full-time

Retirement

Re-posted 7 days ago

Job description

End Date

Wednesday 16 September 2026

Salary Range

92,701 - 109,060

We support flexible working - click here for more information on flexible working options

Flexible Working Options

Hybrid Working, Job Share

Job Description Summary

.

Job Description

JOB TITLE: Lead Data Scientist

SALARY: 92,701 - 109,060

LOCATION:Edinburgh, Leeds, Manchester & Bristol

HOURS: Full time (35 hours)

WORKING PATTERN:Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

About this opportunity...

At Lloyds Banking Group,we'removing to the next stages of our digital transformation, andit'sour job within the Chief Security Office (CSO) to ensure that we keep our customers,colleaguesand assets safe from threat. The CSO's Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and DataEngineeringfeature teams.

In this role,you'llbe owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced AI and machine learning. This is a rare opportunity to build the future of cybersecurity in one of the UK's most data-rich environments.

About us...

Like the modern Britain we serve,we'reevolving. Investing billions in our people,dataand tech to transform the way we meet the ever-changing needs of our 26 million customers.We'regrowing with purpose. Join us on our journey and you will too...

Whatyou'lldo...

  • Own thedelivery of security outcomes,includingdefiningand evolvingapproaches to anomaly detectionthatbalanceperformance, explainability, and operational risk.

  • Lead a team of Data Scientists

  • Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models.

  • Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP.

  • Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT, SOX).

  • Contribute to the Data Science Community of Practice, helping shape best practices across the organisation.

  • Translate sophisticated data insights into actionable intelligence for collaborators across the Group COO and CSO functions

Whatyou'llneed...

  • Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics.

  • Data Engineering - Deepexpertisein Python, ML frameworks (e.g. TensorFlow,PyTorch), and cloud platforms (preferably GCP).

  • Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning architectures.

  • Experience with LLMs and generative AI in production environments is highly desirable.

  • Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations.

  • Excellent communication and customer engagement skills

  • Innovators Mentality - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategiesremainat the forefront of the industry.

It would be great if you also had...

  • Understanding of the emerging threats within Cyber Security

About working for us

Our focus is to ensurewe'reinclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background,identityor culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. Andit'swhy we especially welcome applications from under-represented groups.We'redisability confident. So, ifyou'dlike reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes...

  • A generous pension contribution of up to 15%

  • An annual bonus award, subject to Group performance

  • Share schemes including free shares

  • Benefits you can adapt to your lifestyle, such as discounted shopping

  • 30 days' holiday, with bank holidays on top

  • A range of wellbeing initiatives and generous parental leave policies

Ifyou'reexcited by the thought of becoming part of our team, get in touch.We'dlove to hear from you!

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

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