Data Science & Advanced Analytics Co-op/Intern
Grasshopper Solar Corporation
Montreal, QC
6d ago

Company Overview

Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think TD if you crave meaningful work and embrace change like we do.

We are a trusted North American leader that cares about people and inspires them to grow and move forward.

COMPANY OVERVIEW

Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think TD if you crave meaningful work and embrace change like we do.

We are a trusted North American leader that cares about people and inspires them to grow and move forward.

Building a World-Class Team at TD

Job Description

The Data Science & Advanced Analytics Co-op / Intern is a 4-month work term (potential to extend to 8 months) opportunity in analytics and data.

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

  • 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
  • Qualifications

  • Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Physics, Mathematics, Statistics, Engineering, Science, 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 one or more of R, Python, SQL, SAS or other data-related programming languages.
  • Experience with Data Management, Analytics, and Project Management is a plus.
  • Additional Information

    Please ensure your application includes :

  • Cover Letter
  • Resume (maximum 2 pages)
  • Unofficial university transcript
  • Winter

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