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Data Idols

Data Scientist

Data Idols Upper Farringdon
85,000 to 95,000
32 - 40 hour
new


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    Data Idols

    Data Scientist

    Data Idols Upper Farringdon
    85,000 to 95,000
    32 - 40 hour
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £85,000 to £95,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    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
    Salary description

    £85000.00 - £95000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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    Upper Farringdon England

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