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, equity, hybrid working, and high ownership from day one.
- Other info: Join early and help define the future of a cutting-edge product.
- Why this job: Shape the core product and make a real impact in a high-growth environment.
- Qualifications: Strong experience in machine learning and Python, with a focus on real-world datasets.
The predicted salary is between 85000 - 95000 £ per year.
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, 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 employer: Data Idols
Data Idols is an exceptional employer for those looking to make a significant impact in the tech industry. With a hybrid work model in vibrant London, employees enjoy a collaborative culture that fosters innovation and creativity, alongside ample opportunities for professional growth and development. Join us to tackle complex machine learning challenges while being part of a forward-thinking team dedicated to shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Data Idols!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Data Idols.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Data Idols.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Data Idols, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Data Idols, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Data Idols. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Data Idols
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Data Idols!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
