Data Scientist

OpenDigital Limited; Greater London; Hybrid; GBP 85,000 - 95,000; Full time

Benefits offered by this job

Equity

Job summary

OpenDigital Limited is seeking a Lead Data Scientist in London to own and evolve the core ML models driving the product. You’ll shape the platform by designing, deploying and iterating predictive models that optimise revenue and user value while working closely with the CTO and founders.

The role offers significant equity, strong autonomy, and a hybrid working pattern with 2–3 days in the office. You will lead from the front on model strategy and technical direction.

Qualifications

• Strong experience in machine learning / data science (4–8+ years).
• Proven experience building and deploying ML models in production.
• Solid understanding of churn, propensity modelling, and behavioural data analysis.
• Strong Python skills (Pandas, NumPy, ML libraries).
• Experience working with real-world, messy datasets.
• Ability to work autonomously in a fast-paced environment.

Responsibilities

• Lead the data science effort for core product, shaping the platform's direction.
• Design, build and deploy ML models to predict user behaviour and commercial outcomes.
• Own end-to-end data science stack for client-ready solutions.
• Collaborate directly with founders to steer product and tech direction.
• Continuously iterate and improve model performance across client datasets.

Skills

ML/DS experience

Python (Pandas, NumPy)

Autonomous work ethic

Production ML deployment

Behavioural data analysis

Tools

Pandas

NumPy

ML libraries

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 aData 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. ThisData 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 Lead 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

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)

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