Data Science Manager

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

Todays SMBs need a capital provider that keeps pace with their growth ambitions. Traditional financing options are slow cumbersome and often out of reach. Thats 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 weve deployed over $5bn to thousands of businesses worldwide backed by Tier 1 banks like J.P. Morgan. Weve 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. Youll 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 youll bring value to the team

As 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 Wayflyers 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 Youll 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 youre 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 offer generous parental and adoptive leave including 6 months of paid leave for Primary Caregivers and 3 months of paid leave for Secondary Caregivers.

Share in Our Success

With our equity scheme youre not just an employee; youre 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. Youll 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 or review our privacy notice at Experience:

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