About Float

Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline spending and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies and top-rated startups in 2024 and 2023, Float is customer-obsessed, passionate, and entrepreneurial, with a team that includes leaders from Uber, Shopify, Top Hat, Ritual, Ada, and more.

At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success.

Our product

Float is Canada’s first finance platform designed to empower businesses with fast, flexible, and accessible financial solutions. Our integrated suite of products—including corporate cards, bill pay, reimbursements, and financial services—rethinks how companies access capital, streamline spending, and manage growth. Backed by world-class investors like Tiger Global, Golden Ventures, and Susa Ventures, we’re disrupting the global B2B finance space—and we’re looking for bold innovators to help shape the future of business finance.

About the Senior Data Scientist Role

We are looking for a talented Data Scientist to help us develop and enhance our credit offerings. In this role, you’ll work closely with product, engineering, and operations teams to analyze data, design models, and create solutions that empower our customers to manage their finances with greater confidence and efficiency.

Requirements

As a Senior Data Scientist at Float:

• You’ll develop a data strategy that is aligned to Float’s strategy, identify key metrics, which data needs to be collected, and set the processes for how data will be stored, cleaned, and maintained at Float
• Build and refine predictive models for credit scoring, risk assessment, and customer segmentation.
• Work closely with our Machine Learning team to deliver the most relevant and accurate financial services to our customers.
• Analyze customer data to develop insights that inform lending decisions and underwriting strategies.
• Design and optimize algorithms to automate credit approval processes and monitor portfolio performance.
• Develop tools and dashboards for tracking credit risk metrics and loan performance.
• Identify trends in customer behaviour and market conditions to improve credit products.
• Experiment with new methodologies and technologies to enhance underwriting accuracy and efficiency.
• You’ll work closely with the product team to build data-led products
• You’ll evaluate the performance of existing models and propose enhancements to improve accuracy, efficiency, and scalability

Your impact will be:

• Contribute to creating delightful and relevant financial services for Canadian businesses.
• Enable small businesses to access the credit they need to grow and scale.
• Help solve cash flow challenges by delivering smarter, faster credit solutions.
• Improve financial stability for small businesses by offering data-driven credit products tailored to their needs.

A few must have experiences:

• You’ve worked in Fintech, payments or lending.
• You understand the concepts of KYB, KYC, underwriting, risk modeling and scoring.
• A deep understanding of credit risk assessment and financial data analysis
• Experience partnering with Machine Learning teams.

You’ll be great in this role if:

• You’re an owner. You love a challenge, and take great satisfaction in tackling them head on. You love being a pioneer and taking on any task (big or small) and driving it through to completion. You are also comfortable making independent decisions and following your instincts to be able to move quickly.
• You’re able to explain complex data in simple terms. As you'll be communicating your findings to different stakeholders, your ability to present data in an understandable way is vital.
• You have solid technical skills. Strong skills in data modeling, data structures, data mining, predictive modeling and analysis tools (such as Python, SQL, DBT), and data visualization tools, are crucial. Understanding of machine learning algorithms and statistics is an asset.
• You understand the business context. You'll be more effective if you understand not just how to work with data, but also why you're working with it - i.e., how it will impact the business and drive decisions.
• You’re comfortable with a fast-paced environment. Float is a dynamic environment and things can change quickly. You should be flexible and able to adapt to changes as they occur.
• You can balance attention to detail and strategic thinking. While it's important to delve into the details of your data, it's equally important to keep the big picture in mind.
• You ruthlessly prioritize. You will have multiple responsibilities and projects. Being able to effectively manage your workload and meet deadlines is crucial.
• You have an experimental mindset. The ability to design and analyze experiments will be very helpful in optimizing products and making business decisions.
• You’re eager to continue your own learning. Scrappy and voracious, you want to know the ‘why’ behind every answer. You love to have healthy debates with fellow developers and colleagues about the product.

This role won’t be a fit if:

• You’re not extremely detail oriented
• You are not open to a hybrid role
• You aren’t a self-starter and don’t like to work independently
• You’re not comfortable wearing multiple hats
• You don’t like change and adapting to new ways of doing things
• You aren’t comfortable with ambiguity
• You aren’t able to translate technical jargon into simple language
• You lack patience for iterative work
• You want detailed to-dos for your tasks and projects
• You’re not keen on learning new things
• You don’t have strong stakeholder management skills
• You don’t like regular feedback on your work

Don’t meet every single requirement? If you’re excited about this role, and you strongly align with our values but your past experience doesn’t align perfectly, we encourage you to apply anyway. You may be the right candidate for this, or other future positions.

Benefits

Benefits and Perks of working at Float:

• Competitive compensation & total rewards
• Flexible work hours and time off‍ when you need to recharge
• Small team = lots of autonomy to make a huge impact
• Opportunity to work with and learn from a world-class team
• A personal Float card with a monthly stipend to spend on what matters most to you
• A dog-friendly office
• Being able to say you helped build Canada's best corporate card and spend management platform