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Data Science - Toronto, Canada - TD Bank

TD Bank

Verified Company

Toronto, Canada

1 month ago

Posted by:

Sophia Lee

beBee Recruiter

Description

All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

Why TD?

TD's Colleague Promise:
A better you. A better us.
A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That's our unique and inclusive culture.

Department Overview

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
Lunch and Learns on topics such as Innovation
Diversity and Inclusion and Personal Branding and so much more

JOB DESCRIPTION
You will have the opportunity to work with one of our various teams within the Analytics & Data group.
The
Data Science & Advanced Analytics Co-op/Intern is a 4/8/12-month work term opportunity in data and analytics.

The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, we are looking for someone who will be an ambitious and dedicated contributor to our team.

Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and Analytics & Data fronts.

The
The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, which may include:

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 productionscale solutions and work with deployment teams to integrate in business operations
Leverage visualization methods to represent results and communicate outcomes to technical and nontechnical audiences

Job Requirements
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JOB REQUIREMENTS

Assigned Line of Business 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 datarelated 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.

**Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

Additional Information

Early Talent Requirements

Applications must include a transcript, cover letter (one lettersized page or less) and a resume (maximum of 2 pages).
TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.

ADDITIONAL INFORMATION

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 4month work term and will commence
May 1st
, August 25th
, 2023.

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

HOURS
Monday-Friday, standard business hours
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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.

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 custome