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Clinical Research Associate-Jobs in Großbritannien

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Sei unter den ersten Bewerbenden
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Senior Growth Data Scientist
TILT
City Of London
Hybrid
GBP 90.000 - 100.000
Vollzeit
Vor 3 Tagen
Sei unter den ersten Bewerbenden

Zusammenfassung

A forward-thinking e-commerce company is seeking a Growth Data Scientist to drive user acquisition and engage sellers. The ideal candidate will have 3+ years of experience, strong analytical skills, and proficiency in SQL and Python/R. This hybrid role includes competitive compensation between £90K - £100K, and offers significant autonomy and support for personal growth.

Leistungen

29 days off, plus UK bank holidays
Birthday off
Share options
3% pension contribution
MacBook and tech budget
Gym membership
Free Deliveroo for late work

Qualifikationen

  • 3+ years in data science, analytics, or experimentation, ideally in high-growth startups or scale-ups.
  • Strong quantitative skills including A/B testing and forecasting.
  • Proficient in SQL and Python/R with experience in analytics tools.

Aufgaben

  • Own quantitative engine behind user acquisition and engagement.
  • Design experiments and build models to drive growth.
  • Audit and improve data infrastructure and core dashboards.

Kenntnisse

Data-driven storytelling
A/B testing
Causal inference
Regression
Forecasting
SQL
Python/R
Dashboards
Excellent communication
Entrepreneurial mindset

Tools

Snowflake
S3
OpenSearch
AWS Lambda
Amplitude
Mixpanel
dbt
Jobbeschreibung
Location

London

Employment Type

Full time

Location Type

Hybrid

Department

Data

Compensation
  • £90K – £100K • Offers Equity
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

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/modelling 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
  • 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
  • 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.

Compensation Range: £90K - £100K

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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