Data Idols
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-end What 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 revenue If 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.
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-end What 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 revenue If 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.
