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Growth Data Scientist

Tilt
Full-time
On-site
London, London, United Kingdom
ÂŁ100,000 - ÂŁ150,000 GBP yearly
Data Scientist

About Tilt 🛸

We’re building the next century of shopping—making it feel human, communal, and alive again. E-commerce has spent decades optimising for clicks, stripping away the trust, joy, and connection that once made shopping meaningful.

We’ve recently raised an $18M Series A from the world’s best investors to build the next era of commerce. Now, we’re hiring elite builders to make it happen


Your Mission 🫵

As a Growth Data Scientist, you’ll own the quantitative engine behind user acquisition, engagement, and seller activation. You’ll design experiments, build models, and drive data-informed decisions across product and growth initiatives. You’ll work within our cross-functional Growth team, collaborating closely with marketing, product, design, and engineering.

What You’ll Do 👷

0–3 Months

  • Ship business-critical analyses on usage, retention and activation. Spot key signals to shape product direction

  • Get curious, dive deep into our data to improve our foundational metrics

  • Audit & improve data infrastructure, document data sources and build pipelines

  • Own core company dashboards and refine them to make insights accessible to the full team.

  • Create a shared vocabulary across products and operations (e.g., “active user,” “successful transaction,” etc.).

3+ Months

  • Scale our analytics culture through education, process, and documentation. You’ll turn yourself into a multiplier

  • Work closely with product and ops on growth experiments, operational bottlenecks, and behavioural insights

  • Own continuous improvements to data quality, modelling, and warehouse efficiency

  • Collaborate closely with leadership on strategic questions—customer segmentation, pricing experiments, expansion bets

Location

Hybrid (3 days a week, including Monday and Thursday, in our Canary Wharf office)

Who You Are đź“‹

You’re a data-driven storyteller who cares about impact.

  • 3+ years in data science, analytics, or experimentation—ideally in high-growth startups or scale-ups

  • Strong quantitative skills—A/B testing, causal inference, regression, forecasting

  • ML/modeling experience (e.g. churn, LTV, propensity models)

  • Proficient in SQL, Python/R; experience with event instrumentation and analytics tools

  • Experience building dashboards and tracking metric health

  • Excellent communicator—can explain insights clearly to engineers, designers, marketers, and leaders

  • Entrepreneurial mindset—comfortable in ambiguity and fast iteration

  • Based in London, able to be in Canary Wharf 3 days/week

Bonus points

  • Familiarity with growth analytics tools (Amplitude, Mixpanel, DBT)

  • Prior experience in e‑commerce, marketplaces, or live video environments

Our Stack ⚙️

  • Data & Infrastructure: Snowflake, S3, OpenSearch, AWS Lambda & Batch, Dagster, dbt

  • Analytics & Experimentation: Amplitude, Appsflyer, Metabase

  • Orchestration & Modelling: Dagster for pipelines, dbt for transformations, and a strong experimentation layer across tools.

Why Tilt đź’«

  • 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 and see for yourself.

Perks & Benefits âž•

  • 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, including Pelotons at FORA Canary Wharf

  • 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.