Borrowell Logo

Borrowell

Data Scientist

Posted Yesterday
Be an Early Applicant
In-Office
Toronto, ON
80K-130K Annually
Junior
In-Office
Toronto, ON
80K-130K Annually
Junior
Partner with Product, Business, Data, and Engineering to scope and deliver end-to-end data science projects: analyze member behavior, evaluate experiments, build predictive models and recommendation systems, implement and measure solutions, and produce reusable features, datasets, monitoring, and stakeholder-facing insights.
The summary above was generated by AI

About Borrowell:
At Borrowell, we’re on a mission to help Canadians feel confident about their money. We empower individuals to take control of their financial futures by providing the tools and insights needed to understand, build, and use their credit effectively.

With over four million members, Borrowell empowers Canadians to understand their credit, build credit through Rent Advantage and Credit Builder, and make better financial product choices.

Our team is diverse, inclusive, and driven by a shared passion for making a meaningful difference in the lives of Canadians. We pride ourselves on fostering a culture of collaboration, humility, and innovation. If you’re looking to join a company that’s transforming the financial landscape and empowering Canadians to achieve their financial aspirations, we invite you to explore career opportunities at Borrowell. Together, we can help Canadians feel confident about money.

About the Role:

As a Data Scientist, you’ll work closely with Product, Business, Data, and Engineering teams to help Borrowell make better decisions and build better experiences for our members. Your work may range from analyzing member behavior and evaluating experiments to developing recommendation systems and predictive models that improve marketplace performance.

This is a hands-on role with significant ownership. You’ll work on problems from initial scoping through implementation, measurement, and iteration, partnering directly with stakeholders to understand the business problem before determining the right solution.

During your first year, you can expect to:

  • Deliver measurable business impact – Own 1-2 end-to-end data science projects, from problem framing and analysis through implementation, measurement, and iteration.
  • Use data to solve business problems – Apply analytics, experimentation and machine learning where appropriate, while recognizing when a simpler solution is the better choice.
  • Contribute to Borrowell’s personalization and recommendation systems – Help improve how products and experiences are matched to members across the marketplace and member lifecycle.
  • Partner closely with stakeholders – Work with Product, Business, Data, and Engineering teams to turn business questions into actionable insights and recommendations.
  • Help scale the team’s capabilities – Contribute reusable datasets, features, documentation, monitoring, and processes that make it easier to build and maintain data products over time.

Requirements
  • 2+ years of experience applying data science, analytics and machine learning to solve real business problems.
  • Able to break down ambiguous business questions, identify the right data to use and recommend a practical path forward.
  • Experience building and evaluating predictive models, including feature engineering, model validation, and handling challenges such as class imbalance, leakage, and data quality issues.
  • Experience with experimentation and A/B testing.
  • Strong Python skills and SQL skills for Data Science work.
  • Strong written and verbal communication skills – able to clearly explain insights, recommendations, and trade-offs to both technical and non-technical audiences..
  • Comfortable owning work independently in a fast-paced environment.

Nice to Haves:

  • Experience working with cloud data warehouses such as Snowflake, Databricks, BigQuery or Redshift.
  • Experience with Looker or other BI tools for analysis and stakeholder reporting.
  • Experience in consumer technology, fintech, marketplaces or growth-oriented product environments.

Benefits
  • The Opportunity - join and have a major impact at a growing company that is helping make financial stability possible for everybody
  • Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists
  • Additional Health Benefits - virtual benefit offering that allows you to connect 24/7 with nurses, doctors and mental health professionals
  • Maternity & Parental Leave Top-up - available to new parents
  • WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you
  • Employee Development Benefit - annual reimbursements on payments to help your learning
  • Givewell Benefit - 1 paid volunteer day a year to give back to the community
  • Flexibility - flexible working hours and a flexible vacation policy

We are remote-first across Canada with an office in Toronto. This role will require you to attend in-person meetings and team-building events. While this role is remote, we are currently only able to hire candidates physically located in Ontario, BC, or Alberta.

At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position, we’d still encourage you to apply. We’re looking for candidates who have experience, but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress.

Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment.

Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.

This posting represents a current and active vacancy within our organization.

The budgeted annual salary range for this role is $80,000 – $130,000 CAD. Starting pay is determined by the candidate's relevant experience and skills. In addition to base salary, this role is eligible for Borrowell’s full benefits package.

Similar Jobs

3 Days Ago
Hybrid
154K-247K Annually
Senior level
154K-247K Annually
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead a small team and contribute hands-on to design, develop, deploy, and iterate AML and crypto risk detection machine learning models. Own technical roadmap, collaborate with Product and Engineering, ensure model quality, explainability, documentation, and governance, and drive production performance and outcomes across the model lifecycle.
Top Skills: Aml Detection SystemsAnomaly DetectionBehavioral ModellingCrypto Risk DetectionDistributed Data PlatformsMachine LearningModel GovernancePython
Yesterday
In-Office
111K-200K Annually
Mid level
111K-200K Annually
Mid level
Cloud • Legal Tech • Software
Design and run experiments, apply statistical analysis and ML (including GenAI/LLMs) to product and business problems, build and deploy predictive models, collaborate with product/marketing stakeholders, ensure data quality and governance, and communicate actionable insights to influence strategy.
Top Skills: DatabricksGenaiLangchainLlmsPandasPythonPyTorchScikit-LearnSQL
Yesterday
In-Office
Mid level
Mid level
Fintech • Payments • Financial Services
Lead transition of GenAI pilots into production, develop and improve agents and LLM integrations, evaluate and monitor model and prompt performance, implement guardrails and LLMOps, embed solutions into business processes, ensure compliance and advise stakeholders.
Top Skills: Agent FrameworksBigQueryGoogle AdkLlmopsPromptingPysparkPythonRagSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account