Founding Data Scientist in London

About AIApply

We’re a scaling, founder‑led B2C subscription business, helping people land jobs faster with AI‑driven auto‑apply, resume tailoring, and interview prep. Millions of high‑intent candidates have used the product. We’re now moving beyond tools into infrastructure, building a verified talent layer for employers, expanding distribution beyond paid social, and creating a defensible organic moat. We move fast, ship often, and run a flat, high‑ownership team.

What you’ll do

• You will become the person the company trusts when it asks: “Is this actually working?”
• Building a clean, reliable data layer across product, revenue, and user behaviour
• Defining the core metrics the company runs on
• Making every experiment measurable, interpretable, and comparable
• Identifying the highest‑leverage opportunities in the product (especially early churn and onboarding)
• Turning data into decisions, not dashboards
• Over time, you’ll shape how we prioritise work across the entire company.

What success looks like

• Within your first few months:

• Every key initiative has a clear baseline and measurable outcome
• The team trusts a single source of truth for metrics
• Experiments have clear readouts and influence product decisions
• You’ve identified at least one high‑impact opportunity and driven it into execution

• AIApply runs on a coherent metrics system
• Experimentation becomes a core operating rhythm
• Product, growth, and data are tightly integrated
• You help scale this into a small, high‑leverage team

Who we’re looking for

• You’re a product‑mind‑ed operator who can both build and think.
• You might come from:

• Product (strong data + experimentation bias)
• Analytics / data science (with real product ownership)
• Engineering (especially backend / Laravel) with a strong product instinct

What matters:

• You can go from raw data → insight → decision → action
• You’ve worked on a real product with real users and revenue
• You’re comfortable getting hands‑on (SQL, pipelines, tooling — whatever is needed)
• You challenge bad experiments, not just measure them
• You care about outcomes, not reporting

Strong signals

• You’ve owned metrics or experimentation in a live product
• You’ve built or cleaned up a messy data layer
• You’ve killed ideas based on data (not just validated them)
• You can write clearly and explain decisions simply

Bonus

• Experience with marketplaces, subscriptions, or LLM‑driven products.

Not a fit

• You’re purely academic or research‑focused
• You only want to analyse, not build or influence
• You need a perfect stack before you start

Comp & process

• Competitive base + meaningful equity. We’re profitable. The equity is real.

Process:

• 30 min intro
• Paid take‑home (lightweight, real data)
• Working session with the team
• References → offer
• We can move quickly.