Data Scientist
CV-LibraryLondonpermanentPosted: 23 March 2026
Apply NowData 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: £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