Data Scientist - Commercial Analytics

Junior; Greater London; On-site; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Competitive pay and equity

Private health insurance

Gym membership (Third Space)

Dinner in office

Frequent team offsites

Job summary

Junior is seeking a Data Scientist to establish the analytics foundation for their LLM-powered tools in London. This foundational role entails understanding user behavior and driving strategic decisions with data insights.

The successful candidate will work directly with product and sales teams, blending strong SQL and Python skills with experience in product analytics. Competitive pay, equity, and perks like private health insurance and gym memberships are offered.

Qualifications

• Strong data analytics skillset required.
• Experience with product analytics platforms.
• Comfortable with ambiguity and self-directed.

Responsibilities

• Build analytics foundation for the business.
• Conduct feature adoption and engagement analysis.
• Create customer health models to mitigate churn.

Skills

SQL

Python for data analysis

BI or dashboarding tools

Tools

Amplitude

Mixpanel

Job description

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 that deploy billions of dollars annually. We are a profitable, bootstrapped company with a growing team of about 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 are 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 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 diving into how a product is actually being used and translating that into decisions.

Qualifications

• Based in London and excited to be in the office 5 days a 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 with coding and using AI tools.
• Relevant prior experience:
  • 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 – commercial stakeholders are smart but non‑technical, and rely on you to make the numbers make sense.
• Self‑directed and comfortable with ambiguity – 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

• Competitive pay and equity.
• Private health insurance.
• Gym membership (Third Space).
• Dinner in office.
• Frequent team offsites – Crete, Upstate NY, Cancun.