Data Scientist

Data Idols
Farringdon, Greater London, EC1M 4BJ, United Kingdom
Last month
Applications closed

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Data Scientist

Salary: £85,000 - £95,000 + Equity

Location: London (Hybrid - 2-3 days per week in office)

We are currently looking for a Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly into the CTO, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one.

As a Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Lead Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions.

Day-to-day, the Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes.

The Opportunity

This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future.

As a Data Scientist, you will:

Design and build advanced machine learning models focused on:

User behaviour prediction

Churn and propensity modelling

Develop a scalable "model factory" capable of generating bespoke models per client

Work with complex behavioural event data from mobile applications

Collaborate directly with the founders on product and technical direction

Continuously experiment, iterate and improve model performance

Own a key part of the data science stack end-to-endWhat makes this different?

You're not optimising dashboards, you're building the core product

Your work directly impacts client revenue and acquisition strategy

You'll operate with real ownership, not layers of process

It's a chance to join early and help shape a product with a clear path to exit

What's in it for you?

£85,000 - £95,000 base salary

Meaningful equity in a high-growth startup

Opportunity to work alongside experienced founders

High ownership and autonomy from day one

Exposure to cutting-edge machine learning challenges

Clear progression as the company scales

Hybrid working (London-based, 2-3 days in office)

Skills and Experience

Must have:

Strong experience in machine learning / data science (typically 4-8+ years)

Proven experience building and deploying ML models in production

Solid understanding of:

Churn modelling

Propensity modelling

Behavioural data analysis

Strong Python skills (e.g. Pandas, NumPy, ML libraries)

Experience working with real-world, messy datasets

Ability to work autonomously in a fast-paced environment

Nice to have:

Experience in mobile apps, subscription products or growth analytics

Exposure to experimentation / A/B testing environments

Experience working in early-stage startups

Familiarity with building scalable ML systems or pipelines

Commercial mindset - understanding how models impact revenueIf you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below

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