Data Science Intern / Co-Op (AI/Machine Learning Model Validation)

Role Type:

Internship/Co-op

Work Term:

Summer/Term 3

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Pay Details:

44000.00 - 48000.00 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 

 
Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care. 

 

Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features: 

• Leadership talks with key Leaders from across the organization 

• Connect and Learns on topics such as Innovation 

• Diversity and Inclusion and Personal Branding and so much more 

 

TD Model Validation (MV) group is responsible for the independent validation and approval of analytical models used for risk, pricing, hedging, and capital evaluation for portfolio of financial products. This also includes validation of decision-making models, such as credit approval and behavioral scoring models. 

Candidate will be a member of the Innovation Lab in AI/Machine Learning MV group providing advanced data and software solutions for internal stakeholders. The position reports to the Senior Manager, Innovation Lab, within Model Validation and Model Risk Management group. 

JOB DESCRIPTION 

 

The successful candidate will be a member of the Innovation Lab in AI/Machine Learning model validation group providing advanced data and software solutions for internal stakeholders. The position reports to the Senior Manager, Innovation Lab, within Model Validation and Model Risk Management group. 
 
Detailed accountability includes: 

• Contribute to complex and highly visible solutions to enable innovation and automation in multiple business processes. 

• Work closely with internal stakeholders to ensure successful Python application design and development. 

• Contribute to Python application development for a variety of purposes including data controls, business analysis, statistical testing, data visualization, report generation, etc. 

• Maintain well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. 

 

 

 

JOB REQUIREMENTS  

 

• Currently enrolled in an undergraduate degree in Engineering, Finance, Accounting, Analytics, Data, Business/Commerce or related field 

• Must be enrolled in an undergraduate degree with the intent of going back to school at the start of your work term.  

• Experience in using NumPy, SciPy, Pandas, Requests, and other data processing related Python libraries.  

• Experience with version control systems such as Bitbucket and GitHub. 

• Knowledge of modelling techniques and ability to conduct quantitative tests. 

• Inquisitive nature, ability to ask the right questions and escalate issues. Risk & Control mindset. 

• Good time management and multitasking skills, with ability to work under pressure and meet tight deadlines.  

• Ability to work independently and as part of a team, with problem solving and critical-thinking skills. 

Nice to Have: 

• Experience in developing web applications using Python's Dash, Streamlit, Django, or Flask. 

• Exposure to machine learning, natural language processing (NLP), and large language model (LLM). 

• Experience in scientific computing. 

ADDITIONAL INFORMATION 

Add if applicable: Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided. 

 

• This position is a 4-month work term and will commence May 5th – August 29th, 2025. 

• 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 and internship 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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

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