Data Science - Toronto, Canada - TD Bank

TD Bank
TD Bank
Verified Company
Toronto, Canada

1 month ago

Sophia Lee

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


Our Associate Programs offer new graduates experience within one TD's many lines of business, and the chance to work alongside experienced colleagues, work on challenging projects and assignments, 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:

  • 1year indepth experience, complemented by programming, coaching, tools and support
  • This is fulltime, permanent position.

JOB DESCRIPTION
The
Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data.

The
Data Science and Advanced Analytics Associate will perform a variety of activities, which may include:


  • Collaborate with business partners to identify opportunities for process optimization and informed decisionmaking 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
-
JOB REQUIREMENTS

  • Must be graduated between May 2021 and May 2023 with an
    Undergraduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
  • Strong statistical and analytical skills as well as a passion for analytics 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.
  • Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
  • Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.

Additional Information

ADDITIONAL INFORMATION
- **Application Deadline**: February 5th, 2023

-
Anticipated Start Date:July 202
  • 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
-
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.


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.


Type of Role

  • Undergraduate

Start Date

  • Summer

Job Family

  • Campus

Job Category - Primary

  • Campus
Program


Job Category(s)

  • Campus
Program


Hours

  • 37.5

Business Line

  • Corporate

Time Type

  • Full Time

Employment Type

  • Regular

Country

  • Canada

Province/State (Primary)

  • Ontario

City (Primary)

  • Toronto

Work Location

  • TD Centre
  • TD Tower 66 Wellington Street West

Job Expires

  • 05Feb2023
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