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For Companies At a Glance
- Tasks: Design and build advanced machine learning models to predict user behaviour and optimise client revenue.
- Company: Fast-paced AI startup focused on mobile app technology with a collaborative culture.
- Benefits: Competitive salary, meaningful equity, hybrid working, and clear progression opportunities.
- Why this job: Make a real impact from day one and shape the future of a high-growth startup.
- Qualifications: Strong experience in machine learning, Python skills, and ability to work autonomously.
- Other info: Join early and help define the product with experienced founders.
The predicted salary is between 85000 - 95000 £ per year.
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, and 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 in City of London employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with others, the better your chances of landing that Data Scientist role.
✨Show Off Your Skills
Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your expertise!
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice common data science problems and be ready to discuss your past projects. Confidence is key, so show them what you've got!
✨Apply Through Us!
Don't forget to apply through our website! We’re all about helping you find the right fit, and applying directly can give you an edge. Plus, we love seeing passionate candidates like you!
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist. Highlight your experience with machine learning models, especially in user behaviour prediction and churn modelling. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've built and deployed ML models. If you've worked with messy datasets or in fast-paced environments, let us know! This will help us understand your hands-on experience.
Keep It Clear and Concise: When writing your application, be clear and to the point. Use bullet points for key achievements and keep your language straightforward. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Data Idols
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've built in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This shows not only your technical skills but also your problem-solving abilities.
✨Showcase Your Impact
Prepare examples of how your work has directly influenced revenue or user behaviour in previous roles. Quantify your achievements where possible, as this will demonstrate your understanding of the commercial impact of data science.
✨Familiarise Yourself with the Company’s Product
Before the interview, take some time to understand the company’s mobile app and its core functionalities. Think about how your skills can enhance their product and be ready to share your ideas during the interview.
✨Emphasise Collaboration and Autonomy
Since this role involves working closely with founders and taking ownership of projects, highlight your experience in collaborative environments. Share examples of how you've successfully worked autonomously while still contributing to team goals.