Data Scientist - London
About Junior
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We're building cutting\-edge LLM\-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually.
We're a profitable, bootstrapped company with a growing team of \~45 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2\-3x this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms.
Role Description
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As our first dedicated data hire, you’ll build the analytics foundation that helps us understand what’s really driving the business \- what users love, what makes customers retain, where deals are won/lost, and where we should focus next. This is a foundational role with massive visibility and ownership.
Sample set of projects
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- Feature adoption \& engagement analysis: identify which features drive retention and which are dead weight \- slice by firm type, user role, and tenure to give our Product team clear prioritisation signals.
- Churn \& health scoring: build a customer health model that scores accounts by risk using product usage signals (logins, feature depth, search volume) and flags at\-risk accounts to Customer Success before they churn.
- CRM data quality \& enrichment: audit and clean our CRM data, build pipelines to keep it in sync with product usage, and ensure our Sales team always has accurate, up\-to\-date context on every account.
- Sales funnel analysis: map our full acquisition funnel from first touch to closed\-won, identify where deals are stalling, and surface the product usage patterns that predict conversion.
- Executive reporting: build a weekly data digest for leadership covering revenue, usage, pipeline health and key anomalies \- replacing ad hoc spreadsheets with a reliable, automated view of the business.
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We’re looking for a data scientist who loves getting into the detail of how a product is actually being used and translating that into decisions:
- Based in LDN, and excited to be in office 5 days / week
- Strong data analytics skillset
+ Python for data wrangling, analysis and visualization (pandas, matplotlib / plotly etc)
+ BI or dashboarding tool \- Metabase, Looker, Tableau, or similar
- AI\-forward: experience vibe coding and using AI tools
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- Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent \- comfortable with event\-level data and funnel analysis
- Experience working directly with CRM or similar data
- *Bonus points for experience in* *B2B SaaS, fintech, or enterprise software* *where usage data is complex and customer segments vary widely*
- Strong communicator who can tell a clear story with data \- our commercial stakeholders are smart but non\-technical, and they’ll rely on you to make the numbers make sense
Why This Role
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- Real ownership: You’ll be the first data hire. You’re not inheriting legacy dashboards or maintaining old reports \- you’re building the foundation from scratch.
- Direct impact: Your work will influence product roadmap, sales strategy, customer success, and executive decision\-making.
- Massive upside: We’re already at $15M\+ ARR and scaling quickly. The systems you build now will support the next 10x of growth.
- Strong business fundamentals: Profitable, bootstrapped, and growing fast \- no investor theatre, no fluff, just real traction.
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All the usual benefits (competitive pay, equity, etc) \+
+ - Private health insurance
- Gym membership (Third Space)
- Dinner in office
- Frequent team offsites (Crete , Upstate NY , Cancun )
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