Data Science Intern, Wealthsimple

Winter 2025

Salary not provided
SQL
Python
NumPy
Pandas
Remote in Canada
Wealthsimple

Professional investing services made simple

Job no longer available

Wealthsimple

Professional investing services made simple

1001+ employees

FintechB2CPersonal financeInvestingFinancial ServicesSocial Impact

Job no longer available

Salary not provided
SQL
Python
NumPy
Pandas
Remote in Canada

1001+ employees

FintechB2CPersonal financeInvestingFinancial ServicesSocial Impact

Company mission

To help everyone achieve financial freedom.

Role

Who you are

  • At Wealthsimple, we offer 4 to 8-month internships that are open to co-op and non-co-op students, and recent grads
  • Are driven to ship frequently
  • Take ownership and pride in working on projects to successful completion
  • Enjoy tackling new, complex challenges on a regular basis
  • Are comfortable with self-directed learning
  • Believe that debate, inclusivity and transparency result in better products
  • Are eager to learn from your team and others. We value making one another successful!
  • Familiarity with Python, SQL
  • Basic understanding of statistics: either frequentist and Bayesian approaches
  • Basic understanding of fundamental machine-learning algorithms: regression and decision trees
  • First-hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
  • Excellent communicator

What the job involves

  • 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!
  • 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
  • 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

Application process

  • Application deadline: Wednesday, September 18 @ 5PM EST
  • Interviews will be scheduled for successful candidates during the week of September 23rd
  • If you are selected for next steps you will hear back at the end of September and early October
  • First Interview: 45-minute technical interview (in your language of choice) with one interviewer
  • Second Interview: 1-hour interview with a hiring manager where you will be walking through a project review
  • Last Stage: Offer! 🎉

Our take

Wealthsimple is one of a crop of robo-advisors trying to democratize investment management. These companies are disrupting the industry by automating many of the processes involved in investment removing the need for human advisors.

But while other so-called robo-advisors are focused on courting the high end of the market, Wealthsimple is trying to provide the same types of tools and advice to all users, regardless of the amount they have to invest.

Wealthsimple does have higher fees than some other robo-advisors such as Betterment and Charles Schwab. However, the company believes that it provides a more user-friendly platform, tailored to millennials who will be attracted to Wealthsimple due to its ease of use and social impact offerings.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

-10% employee growth in 12 months

Company

Funding (last 2 of 8 rounds)

May 2021

$554m

LATE VC

Oct 2020

$87m

LATE VC

Total funding: $854.1m

Company benefits

  • Retirement savings matching plan through Wealthsimple Work
  • Company equity for full-time employees
  • Access to Premium Client perks, including personal finance learning & advice and a boosted interest rate on deposits
  • Paid parental leave (6 months topped up to 100% of salary)
  • 20 vacation days per year
  • 90 Days Away program
  • Top-tier health benefits
  • Life & disability insurance
  • Generous sick and mental health days
  • Employee resource plan including services like RMT, psychology, and physiotherapy
  • Up to $5,000 per year for mental health supports
  • Gender Affirmation benefits
  • Up to $1,500 per year for professional development
  • Up to $1,500 per year for wellness and home office expenses
  • Employee resource groups
  • Social impact hours

Company HQ

Fashion District, Toronto, ON

Leadership

Previously worked as a Business Analyst at McKinsey and then at Ancestry.com as Country Director for Canada.

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