Data Scientist - Commercial Analytics

👶 ABOUT JUNIOR 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 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 - 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. 🔥 ABOUT YOU 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 - SQL - 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 RELEVANT PRIOR EXPERIENCE - 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 Self-directed and comfortable with ambiguity - there’s no existing data team to hand off to; you’ll define the questions as often as you answer them WHY THIS ROLE - 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. 🌵 BENEFITS 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 🇲🇽) If you're excited...