📝 Company Mission
Our mission is to give the world access to the best products by empowering great businesses to reach their growth potential.
💼 About Wayflyer
Today's SMBs need a capital provider that keeps pace with their growth ambitions. Traditional financing options are slow, cumbersome and often out of reach. That's why we built Wayflyer.
Our unique technology allows us to assess businesses in minutes, generate financing offers that reflect their growth potential and send funds in as little as 24 hours.
Since launching in April 2020, we've deployed over $5bn to thousands of businesses worldwide, backed by Tier 1 banks like J.P. Morgan. We've become a trusted financing partner for some amazing brands, like True Classic, Little Words Project and Kekoa Foods.
Teams at Wayflyer are truly cross-functional. You'll be collaborating with ambitious colleagues from around the world - all striving to deliver on a huge opportunity. Check out this video to hear directly from them.
💛 Culture & Values at Wayflyer
At Wayflyer, we value being sound people, excellent operators, and ambitious overachievers, working together with integrity, creativity, and bold optimism to deliver exceptional results. To learn more, please visit our website.
🚀 Your Role at a Glance: The key ways you'll bring value to the team
As a Data Science Manager at Wayflyer, you will lead a team of 4+ Data Science and ML Engineers. We treat Machine Learning as a branch of software engineering; you will be a hands-on technical leader responsible for writing code, reviewing PRs, and deploying production-grade ML models that powers Wayflyer’s go-to-market and funding processes.
Team Leadership: Manage, mentor, and scale a high-performing team of DS/ML engineers, maintaining a culture of technical excellence and code quality.
Technical Execution: Oversee the end-to-end ML lifecycle: from dataset annotation and model training to deployment, monitoring, and infrastructure maintenance.
Roadmap & Strategy: Partner with Product and Engineering leads to define and execute a data science roadmap aligned with business growth and risk assessment.
Engineering Standards: Implement best practices for reproducible data pipelines, automated testing, and documentation to ensure system reliability.
Stakeholder Management: Translate complex technical findings into actionable insights for VPs and C-suite executives.
AI Native: Ensure the team leverages AI and LLMs as accelerants to producing high quality outputs rather than as a crutch.
🔨 What Makes You a Great Fit
Experience: 5+ years in Data Science/ML, with 2+ years in a formal management or lead role.
Individual Contributor Roots: A proven track record of building and maintaining production ML systems yourself.
Software Engineering: Advanced proficiency in Python and SQL. You should have the core engineering skills required of a Software Engineer.
ML Operations: Practical experience with model deployment, monitoring, and orchestration tools (e.g., Airflow, Dagster).
Product Thinking: Ability to translate business challenges (specifically in risk or growth) into technical data solutions.
How You’ll Stand Out
Stack: Python, SQL, Modern Data Stack, Orchestration tools.
Bonus: Experience in FinTech or Credit Risk.
Bonus: Experience with NLP (Text classification, NER).
🤝 What to Expect After You Apply
You can expect to hear from a member of our Talent Acquisition team soon. If we believe you're a good fit, the first step will be a conversation with a recruiter who will guide you through the next stages of the process. The full interview process, which includes meeting the Hiring Manager and completing a case study or interview loop, typically takes approximately 2-4 weeks.
🏖️The Perks of Being at Wayflyer
🌴 Time Off That Matters
Recharge with 25 days of paid annual leave, plus public holidays.
🧘 Your Wellbeing
Access support and resources to support your wellbeing, including our Wellbeing @ Wayflyer ERG.
🫀 Comprehensive Health & Protection
Stay covered with private healthcare, life insurance, and critical illness cover.
👵 Secure Your Future with Our Pension Plan
Our pension plan helps you build a strong foundation for tomorrow, starting today.
🍼 Family-First Policies
We provide a generous parental and adoptive leave program for both Primary and Secondary caregivers, ensuring you have the dedicated, fully paid time you need to focus on your family.
💰 Share in Our Success
With our equity scheme, you're not just an employee; you're a stakeholder in our journey.
🌴 Work From Abroad!
Enjoy the freedom to work remotely from anywhere in the world for up to 60 calendar days a year.
📍Global Offices and Working Policy
🇮🇪 Dublin, Our Buzzing HQ
Our headquarters operates a hybrid model. The number of in-office days depends on your team, but the majority of teams and our SLT are typically in 3-4 days per week, giving you valuable exposure to senior leadership.
🇬🇧 London, One Big Family
Home to around 30 employees, our brand-new London office also runs on a hybrid model. You’ll often find our CEO working alongside the team with regular visits.
🇦🇺 Sydney, Small but Mighty
Our close-knit Sydney office has around 20 employees and follows a flexible hybrid model, fostering strong collaboration.
🇺🇸 Charlotte, our new US-HQ
Charlotte is our US headquarters and the foundation of our North American growth. From our Uptown office, our teams collaborate closely, build relationships and drive impact across the region, with a setup designed for both focus and flexibility.
🌍 Remote, Across the US & Europe
The majority of our Tech org works remotely across the UK and Europe, coming together throughout the year for off-sites, company kick off and technical kick off. We also have a growing number of remote team members across the US.
💡 How We Handle Your Personal Data
By submitting your application, you acknowledge that Wayflyer Limited will process your personal data for the purpose of evaluating your suitability for the role. Such processing is based on the need to take steps prior to entering into a potential employment agreement. To learn more about how we handle your personal data, you can contact our privacy team at [email protected] or review our privacy notice at https://wayflyer.com/privacy-notice.
Skills Required
- 5+ years in Data Science/ML
- 2+ years in a formal management or lead role
- Advanced proficiency in Python and SQL
- Practical experience with ML operations and deployment tools
- Ability to translate business challenges into technical solutions
What We Do
Providing eCommerce businesses with fairer, faster, and more flexible funding. Our mission at Wayflyer is to support the ambition of the eCommerce businesses we work with. We do this by solving the toughest problems in eCommerce, giving founders the power to pursue their ambition and achieve their big goals. We started by tackling the single biggest problem in eCommerce; working capital. By giving founders access to unsecured, non-dilutive funding at great rates, we solve their working capital challenges, unleashing growth. So how are we doing on our mission? Well, since 2019, we have funded over 1,500 of the world’s top eCommerce businesses, providing them with over $1bn of capital, and in 2021 alone, companies using Wayflyer generated over $13bn in sales. We have raised over $230m in equity from the same investors as Stripe and Revolut and have been valued at $1.6 billion. With customers in 11 countries, and offices in Dublin, Atlanta, New York, London, and Sydney, we are a global business, supporting the most ambitious eCommerce founders worldwide.
