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Data Science & Advanced Analytics Intern/Co-op (WINTER 2025)

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TD Bank

Sep 10

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Software Engineering
  • Toronto

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Requirements

  • Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics or related, with the intent of going back to school at the start of your work term.
  • Strong statistical and analytical skills and interest are necessary.
  • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
  • Experience in Python, SQL and/or other data-related programming languages.
  • Experience with visualizations and building dashboards in Tableau is considered an asset.
  • Knowledge/experience with machine learning is considered an asset.
  • Experience with Data Management, Analytics, and Project Management is a plus.

Responsibilities

  • Provide technical expertise across a broad range of data analysis functions including data modeling, visualization, data profiling, data origin and lineage, report design, and other specialized data management functions.
  • Apply machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
  • Support business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
  • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data.
  • Build production-scale solutions and work with deployment teams to integrate in business operations.
  • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences.

FAQs

What is the duration of the internship/co-op position?

The internship/co-op position is a 4-month work term, commencing from January 6th to April 25th, 2025.

What are the work hours for this position?

The work hours for this position are Monday to Friday, totaling 37.5 hours per week during standard business hours.

Is there a specific educational requirement for this role?

Yes, candidates must be currently enrolled in a recognized undergraduate or graduate degree in fields such as Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics, or related areas, with the intent of returning to school at the start of the work term.

What technical skills are required for applicants?

Applicants should possess strong statistical and analytical skills, experience in Python, SQL, and/or other data-related programming languages, along with experience in visualizations and dashboard building, preferably in Tableau.

Are there any preferred experiences mentioned in the job description?

Yes, knowledge or experience with machine learning, as well as experience with Data Management, Analytics, and Project Management, is considered an asset.

How should candidates submit their application?

Candidates should submit their application, which must include a transcript, a cover letter (one letter-sized page or less), and a resume (maximum of 2 pages).

Will all applicants be contacted for interviews?

No, only qualified candidates chosen for an interview will be contacted.

Is there any mention of inclusivity in the recruitment process?

Yes, TD is committed to fostering an inclusive, accessible environment and encourages candidates to request accommodations for the recruitment and interview process if needed.

Are there opportunities for career development?

Yes, TD provides regular career development conversations, mentorship, and training programs to support colleagues in achieving their goals.

What is the pay structure for this position?

The pay details for this role are not specified, but candidates are encouraged to engage in an open dialogue with the HR Team regarding compensation-related questions.

Finance
Industry
10,001+
Employees

Mission & Purpose

Headquartered in Toronto, Canada, the Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (TD). TD had CDN$1.9 trillion in assets on July 31, 2023. TD also ranks among the world’s leading online financial services firms, with more than 16 million active online and mobile customers. TD offers a full range of financial products and services to over 27.5 million customers worldwide through four key business lines: - Canadian Personal and Commercial Banking including TD Canada Trust, Business Banking, and MBNA - U.S. Retail including TD Bank, America’s Most Convenient Bank, TD Auto Finance (U.S.), TD Wealth (U.S.) and TD’s investment in Schwab - Wealth Management & Insurance including TD Wealth (Canada), TD Direct Investing, and TD Insurance - Wholesale Banking including TD Securities and TD Cowen

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