SEQUEL CORP
London
Full time
Hybrid
Data
90K 100K Offers Equity
About Tilt
Were 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. Weve recently raised an $18M Series A from the worlds best investors to build the next era of commerce. Now, were hiring elite builders to make it happen Your Mission
As a Growth Data Scientist, youll own the quantitative engine behind user acquisition, engagement, and seller activation. Youll design experiments, build models, and drive data-informed decisions across product and growth initiatives. Youll work within our cross-functional Growth team, collaborating closely with marketing, product, design, and engineering. What Youll Do
03 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. Youll 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
Youre 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
Youll be joining a mission-driven team backed by world-class investors (TechCrunch) Youll own meaningful systems from day one, with real scope and autonomy Youll work alongside curious, kind, and wickedly smart teammates Youll help redefine how millions of people shop online
Curious what its 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 setup your way Gym membership , including Pelotons at FORA Canary Wharf Free Deliveroo
if youre working late
We welcome applicants from all backgrounds and experiences, and were committed to fostering an inclusive, diverse workplace. If you dont meet every single requirement in the job description, please dont be put off from applying. We value potential and a willingness to learn over ticking every box your unique perspective could be exactly what were looking for. Let us know if you need any adjustments during the application process - were happy to help. Compensation Range: 90K - 100K #J-18808-Ljbffr
Were 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. Weve recently raised an $18M Series A from the worlds best investors to build the next era of commerce. Now, were hiring elite builders to make it happen Your Mission
As a Growth Data Scientist, youll own the quantitative engine behind user acquisition, engagement, and seller activation. Youll design experiments, build models, and drive data-informed decisions across product and growth initiatives. Youll work within our cross-functional Growth team, collaborating closely with marketing, product, design, and engineering. What Youll Do
03 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. Youll 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
Youre 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
Youll be joining a mission-driven team backed by world-class investors (TechCrunch) Youll own meaningful systems from day one, with real scope and autonomy Youll work alongside curious, kind, and wickedly smart teammates Youll help redefine how millions of people shop online
Curious what its 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 setup your way Gym membership , including Pelotons at FORA Canary Wharf Free Deliveroo
if youre working late
We welcome applicants from all backgrounds and experiences, and were committed to fostering an inclusive, diverse workplace. If you dont meet every single requirement in the job description, please dont be put off from applying. We value potential and a willingness to learn over ticking every box your unique perspective could be exactly what were looking for. Let us know if you need any adjustments during the application process - were happy to help. Compensation Range: 90K - 100K #J-18808-Ljbffr