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Data Science Intern (Fall 2024)

Wealthsimple

Join Wealthsimple as a Data Science Intern for Fall 2024

About Wealthsimple

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque, and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 3 million users who trust us with more than $40 billion in assets.

Internship Overview

At Wealthsimple, we offer 4 to 8-month internships that are open to co-op and non-co-op students, and recent grads. During your remote-first internship, you will be able to contribute to projects that are changing the landscape of financial services for Canadians. You will be on a team that supports your growth and provides mentorship while also connecting to the broader Wealthsimple community!

Data Science @ Wealthsimple

The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering, and business. The team is responsible for enabling data-driven decision-making and building data products at Wealthsimple. We achieve these goals by:

  • Building a high-quality and scalable state-of-the-art data warehouse that powers all decision making
  • Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
  • Using decision science to understand the cause and effect of our business decisions

Responsibilities

  • Work on projects to successful completion
  • Tackle new, complex challenges on a regular basis
  • Engage in self-directed learning
  • Collaborate with team members to create better products

Required Skills

  • Familiarity with Python and SQL
  • Basic understanding of statistics: both frequentist and Bayesian approaches
  • Basic understanding of fundamental machine-learning algorithms: regression and decision trees
  • Experience with popular Python libraries such as Pandas, scikit-learn, NumPy, and Jupyter
  • Excellent communication skills

What You Can Expect From The Interview Process

  1. First Interview: 45-minute technical interview (in your language of choice) with one interviewer
  2. Second Interview: 1-hour interview with a hiring manager where you will be walking through a project review
  3. Last Stage: Offer!

Why Wealthsimple?

  • Competitive salary with retirement savings matching plan using Wealthsimple Work
  • Generous vacation days and unlimited sick and mental health days
  • Intern programming including educational workshops, hackathons, and mentorship
  • A wide variety of peer and company-led Employee Resource Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS)
  • Company-wide wellness days off scheduled throughout the year

DEI Statement

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement

Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.

Benefits
Extracted with AI

  • Competitive salary with retirement savings matching plan
  • Generous vacation days and unlimited sick and mental health days
  • Intern programming including educational workshops, hackathons, and mentorship
  • A wide variety of peer and company-led Employee Resource Groups
  • Company-wide wellness days off scheduled throughout the year

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