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Junior

Data Scientist - Commercial Analytics

  • Seen live on Junior's site 5 days ago
  • Mid level
Pay
Not stated
Location
London
Open for
11+ days
First seen
Oct 24, 2026
Apply on Junior's site (opens in a new tab)

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Junior's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Junior, so its true age is longer.

Last checked Oct 30, 2026.

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What it asks of you

Visa sponsorship offered
“Visa sponsorship available” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About Junior

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 60+ based in London, NYC and Sydney. We 10x’d our revenue in 2025.

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

Role Description

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.

Sample set of projects

  • 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.

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 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

Why Junior

  • 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:
  • Team lunch provided everyday at the London HQ!
  • 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

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