Junior
Data Scientist - Commercial Analytics

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👶 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
🔥 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


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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 about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you! 🙌
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