Data Scientist - Commercial Analytics

We’re building cutting-edge LLM-powered workflow tools to supercharge investment research for private market investors. Our clients include most of the global top 10 private equity and consulting firms - Junior already powers hundreds of billions of dollars invested annually. We’re a profitable, bootstrapped company with a growing team of 40+ based in London, NYC and Sydney. We 10x’d our revenue in 2025.

You can read more about the company mission & values here.

As our first data scientist in London, you’ll turn Junior’s product usage, customer, and commercial data into the insights that drive our next phase of growth. Right now, our commercial and product teams are making decisions with incomplete information — you’ll fix that.

• Revenue / cashflow forecasting: develop a model to forecast usage-based revenue and cashflow based on usage data from our product

• 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.

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 London, in our Farringdon office 5 days / week

• Strong command of SQL — you should be fast and confident querying complex, messy, real-world datasets

• Proficient in Python for data wrangling, analysis and visualisation (pandas, matplotlib / plotly etc.)

• Experience with a BI or dashboarding tool — Metabase, Looker, Tableau, or similar

• Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent — comfortable with event-level data and funnel analysis

• Comfortable working directly with CRM data

• Strong communicator who can tell a clear story with data

• AI-forward: experience vibe coding and using AI tools

• Self-directed and comfortable with ambiguity

• Bonus points for experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary widely

• Top 1% traction: 0-20+ m rev in 3 years, fully bootstrapped / profitable, top-tier customers inc. some of MBB, Big 4, Top 5 PE mega-funds

• Flat org structure: lean startup environment with ≤1 manager between each role and the c-suite

• Competitive salary + equity and first-class benefits inc:

  • Lunch + dinner provided in-office

  • Third Space membership

  • Private health insurance

  • Multiple all-expense paid offsites per year (last 3 trips include Crete, Greece; Cancun, Mexico; Barcelona, Spain)

  • Visa sponsorship available