About Tilt 🛸

Tilt’s mission is simple: Make Commerce Alive.

From static store website builders to impersonal marketplaces, today's ecosystem is aging fast. It was built for transactional experiences, not for the new generation of merchants who grow through attention, community and personality.

In the UK alone, millions of shoppers, from sneakerheads and Y2K girlies to collectors and parents, have signed up to Tilt. Our platform has helped sellers go from zero to £1M+ in earnings, and hundreds more earn above the UK median income.

And we are just getting started.

Your Mission 🫵

We are building the intelligence layer that powers every major decision at Tilt. As our Lead Full Stack Data Scientist, you will architect and own this system end to end, from data infrastructure and pipelines to modelling, experimentation, and analytics. You will build and lead the team responsible for turning Tilt’s data into high-leverage product, growth, and commercial insights.

This role is both strategic and deeply hands-on. You will define what data science means at Tilt, set the long-term direction, and ship systems that unlock instant insight across the company. In one recent project, we cut the time to insight from days to minutes. You will deliver this level of impact at scale.

What You’ll Do 👷

0 to 3 months

• Map Tilt’s business model, data ecosystem, and analytical gaps

• Define and begin executing the data science roadmap aligned with company priorities

• Build high-impact analytics for Marketing, Creator, and Category teams that deliver immediate value

• Establish data quality standards, governance, and best practices across all functions

• Embed fast, scientific decision-making into the company by partnering with senior leadership

3+ months

• Own and evolve Tilt’s entire data science, modelling, and analytics strategy

• Lead frameworks for marketing efficiency, attribution, and smart budget allocation

• Design, build, and maintain predictive models that support category expansion, retention, creator performance, and growth

• Develop and operationalise causal inference, experimentation, and incrementality testing systems

• Establish a company-wide culture of experimentation and rigorous measurement

• Represent data science in leadership and board-level discussions

Who You Are 📋

• Exceptional analytical and technical ability with a track record of high-impact work in full-stack data science or analytics

• Proven experience building and leading high-performing data science teams

• Deep expertise in experimentation, statistical modelling, causal inference, and translating complex outputs into clear strategy

• Strong engineering ability across the data stack, comfortable owning systems end-to-end

• High bias for action and speed, with excellent product and business intuition

• Experience in fast-paced, high-autonomy startup environments, ideally from seed to Series B

• First-principles thinker with strong problem-solving instincts

Nice to Have

• Experience supporting marketing, growth, or commercial teams

Why Tilt 💫

• You’ll be joining a mission-driven team backed by world-class investors (TechCrunch)

• You’ll own meaningful systems from day one, with real scope and autonomy

• You’ll work alongside curious, kind, and wickedly smart teammates

• You’ll help redefine how millions of people shop online

Curious what it’s like to work at Tilt? Start here.

Or just download the app on the UK App Store or UK Google Play and see for yourself.

Location: Hybrid (3 days a week from London, King’s Cross office)

Perks & Benefits ➕

• 29 days off, plus UK bank holidays

• Your birthday off, no questions asked

• Share options to become a true stakeholder in our success.

• 3% pension contribution from Month 2 (auto-enrolment)

• MacBook and tech budget to get you set up your way

• Gym membership

• Free Deliveroo if you’re working late

We welcome applicants from all backgrounds and experiences, and we’re committed to fostering an inclusive, diverse workplace.

If you don’t meet every single requirement in the job description, please don’t be put off from applying. We value potential and a willingness to learn over ticking every box — your unique perspective could be exactly what we’re looking for.

Let us know if you need any adjustments during the application process — we’re happy to help.