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Data Science Associate Jobs in Markham, ON (NOW HIRING)

Td

AI2 Data Science Associate

Toronto, ON · On-site

The Data Scientist Associate will perform a variety of activities, which may include: * Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature ...

Td

AI2 Data Science Associate

Toronto, ON · On-site

The Data Scientist Associate will perform a variety of activities, which may include: * Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature ...

Manulife

Associate Data Scientist - GenAI

Toronto, ON · Hybrid

CA$69K - CA$115K/yr

We are seeking a highly skilled and motivated Associate Data Scientist to join our team. You will ... D. in Computer Science, Data Science, Statistics, or a related field. * Proven experience as a Data ...

Accenture

AI Architect, Manager

Toronto, ON · Remote

You're likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for around five to seven years. * Cross talent community skillset, one resource that ...

Fortis Life Sciences

Associate Scientist

Toronto, ON · On-site

CA$24 - CA$30/hr

We are seeking a Junior Scientist / Associate Scientist to join our growing biotechnology team ... Collect, analyze, and interpret experimental data. * Troubleshoot experimental issues and ...

New

Lyft

Data Engineer

Toronto, ON · On-site

We handle critical infrastructure that powers both human associates and AI agents to make riders ... Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field ...

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All JobsData Science Associate JobsData Science Associate Jobs in Markham, ON

Data Science Associate information

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Markham, ON?

The most popular types of Data Science jobs in Markham, ON are:

What cities near Markham, ON are hiring for Data Science Associate jobs?

Cities near Markham, ON with the most Data Science Associate job openings:

Data Science Associate jobs near you

AI2 Data Science Associate

Td

Toronto, ON • On-site

Full-time

Posted 7 days ago

Job description

Role Type:

Undergraduate

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Pay Details:

80,000 - 80,000 CAD


TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

DEPARTMENT OVERVIEW

Our Associate Programs offer new graduates the opportunity to work in one of TD's many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

Associate Role Profile: Our Associates are full-time employees participating in an 18-month rotational program (two nine-month rotations) to gain exposure and experience to opportunities and to a variety of business areas within the Analytics Insights & AI team in-depth experience, complemented by programming, coaching, tools and support.

As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada!

JOB DESCRIPTION

The AI2 Associate Program is an 18-month rotational program enhanced development opportunity in analytics and data. The Data Scientist Associate will perform a variety of activities, which may include:

  • Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering

  • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences

  • Participate in projects supporting a broad range of data driven solutions by applying a variety of techniques to build out models. Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data

  • Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models

  • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches

  • Collaborate with business partners to support the business case development process for analytics solutions

JOB REQUIREMENTS

  • Must be graduated between May 2025 and May 2027 with an Undergraduate degree in Business, Management, and/or Data Analytics or related.

  • Strong statistical and analytical skills and interest are necessary.

  • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.

  • Experienced in one or more of:

  • Big Data - Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation

  • Machine Learning - Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.

  • Reading and comprehending data schemas, metadata, entity relationship diagrams and other technical documentation

  • Technical knowledge or experience with Cloud environments (MS Azure is a plus) as well as experience with Data Management.

  • Strong technical knowledge and experience with at least one of: Python, Spark/PySpark, SQL, R, Java, C/C++, Alteryx or Tableau

  • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.

  • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment. Experience presenting in front of big crowds/senior leadership is a plus.

  • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.

  • Experience with Data Management, Analytics, and Project Management is a plus.

  • Remain current with emerging trends and technologies in this field.

ADDITIONAL INFORMATION

  • Anticipated Start Date: July 5th, 2027 (pending academic completion)

  • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).

  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

  • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

  • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.

HOURS

Monday-Friday, standard business hours.

INCLUSIVENESS

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.


Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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