About Loop

Loop is a fast-growing FinTech high growth startup that enables businesses to seamlessly manage money around the world so our clients can access more markets, accelerate their growth and simplify their operations with the only truly cross-border banking platform. Loop is enabling the next generation of businesses to thrive around the world and we are looking for ambitious people to join our mission.

Hi, I'm Sarah, Chief of Staff, at Loop and I am hiring a Data Science Intern to help us turn data into better decisions. You'll work on real business problems across our fintech platform, using data to uncover insights, improve processes, and build tools that help our teams move faster.

We are hiring for both the Fall (September-December) and Winter (January-April) terms. Please let us know in your application which term(s) you are available for. 

This role is an onsite position at our downtown Toronto office (Bay and Bloor). 

Where You Come In

This is an opportunity for someone who loves solving problems with data and wants to see their work have an immediate impact. You'll work closely with teams across the business—including engineering, product, finance, operations, growth, and compliance—to answer important questions, automate reporting, and identify opportunities to improve how we operate.

As an intern, you won't be working on toy datasets or academic exercises. You'll have access to real business problems and the opportunity to build analyses, dashboards, predictive models, and automations that help shape decisions across the company.

What You'll Be Doing

Partner with teams across Loop to solve business problems using data, including but not limited to:

Data Analysis & Insights

• Analyze customer, product, financial, and operational data to identify trends and opportunities.
• Build dashboards and reports that help teams monitor KPIs and make better decisions.
• Investigate business questions using SQL, spreadsheets, and Python.
• Present findings in a clear and actionable way to both technical and non-technical audiences.

Machine Learning & AI

• Assist with building predictive models to support business initiatives.
• Explore AI and machine learning applications that improve customer experience and internal operations.
• Clean, prepare, and validate datasets for modelling.
• Evaluate model performance and recommend improvements.

Automation & Process Improvement

• Identify repetitive manual processes that could be automated using data.
• Build internal tools or scripts that improve operational efficiency.
• Support experimentation by measuring outcomes and providing recommendations.

Cross-Functional Projects

• Work alongside engineering, product, finance, growth, and operations on strategic initiatives.
• Help define metrics that measure success across the business.
• Support ad hoc analyses for leadership and special projects as needed.

Desired Qualities, Skills, and Experience

• Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
• Comfortable working with data using SQL and Python.
• Strong analytical and problem-solving skills.
• Experience with Excel or Google Sheets.
• Familiarity with data visualization tools such as Looker Studio, Tableau, Power BI, or similar is an asset.
• Exposure to machine learning concepts is an asset.
• Curious, proactive, and excited to solve ambiguous problems.
• Excellent communication skills with the ability to explain technical findings clearly.
• Strong attention to detail and a willingness to learn quickly.
• A genuine interest in startups and using data to drive business decisions.

What's in it for you?

• Work on meaningful projects that directly influence company decisions.
• Exposure to real-world fintech datasets and business challenges.
• Opportunity to build machine learning, analytics, and automation projects that ship into production.
• Mentorship from experienced leaders invested in your professional development.
• Significant learning opportunities across product, engineering, operations, and finance.
• A collaborative, high-performing team where your work is visible and valued.

What we offer

• Salary range CAD $30/hour, commensurate with experience.
• This role is onsite in our downtown Toronto office.
• Kitchen full of snacks and drinks to keep you going throughout the day.
• Catered lunch on Fridays (we take recommendations!).

Interview Process

• 30 minutes video call with hiring manager, Sarah, Chief of Staff
• Take home questionnaire to get to know you better 
• 60 minutes in person meeting with Sarah, Chief of Staff, and Cato, CEO and Co-Founder
• Background check* and offer

*Criminal Record Check, Identity Verification, Adverse Media, Global Watchlist and Sanctions, Politically Exposed Persons. 

Our Mission, Vision and Values

• Mission: To help businesses seamlessly manage money around the world so they can access more markets, save money and simplify their operations
• Vision: The future of business is global by default. Loop will be the first business bank that is global by default.
• Values: Act with Urgency, Take Radical Ownership and Be Kind
  
  
  

How to Apply

To apply for this position, please click apply and submit along with your resume and a brief paragraph about yourself and an overview of how you would plan to build a healthy recruitment pipeline for the types of roles we have open. 

Loop is committed to creating a diverse culture. We encourage you to apply regardless of who you are or where you came from - what matters is the journey ahead. Put simply, if you’re unsure about your qualifications for this position, we’d still encourage you to apply!