At a Glance
- Tasks: Own the ML function and build models for millions of users.
- Company: Leading mobile app studio with 25 years of success.
- Benefits: Direct access to founders, autonomy in your role, and a dynamic work environment.
- Other info: Work with Africa's largest dating platform and enjoy startup speed with stability.
- Why this job: Shape a data-driven culture and make a real impact on user engagement.
- Qualifications: 3 years of Data Science experience and expert Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Long-standing mobile consumer social and dating app studio with 25 years of building market-leading products including Africa's largest dating platform.
As the first dedicated Data Scientist, you will own the end-to-end ML function for mobile products reaching millions of users. You will translate complex business questions into production-grade models, building recommendation engines, churn prediction, and NLP solutions. This is a high-ownership role working directly with founders to shape a data-driven product culture.
Location: London, UK
Why this role is remarkable:
- Take total ownership as the first Data Scientist in a company with 25 years of success and millions of active users generating rich behavioral data.
- Move with startup speed while enjoying the stability of a studio that owns Africa's largest mobile dating platform and multiple social apps.
- Direct access to founders and the autonomy to choose your own tools and define how data science is practiced across the entire portfolio.
What You Will Do:
- Build and deploy production-ready machine learning models including recommendation engines for matching and predictive churn frameworks.
- Apply NLP and deep learning techniques to large-scale chat and interaction data to enhance user safety and engagement.
- Design and implement A/B testing frameworks and user segmentation models to drive product decisions and business growth.
The ideal candidate:
- Approximately 3 years of hands-on experience in Data Science with a proven track record of shipping models to production environments.
- Expert-level Python skills including pandas, scikit-learn, and deep learning frameworks like PyTorch or TensorFlow.
- Exceptional ability to translate vague business requirements into solvable technical problems and actionable insights without hand-offs.
Data Scientist at market-leading mobile consumer social and dating app studio employer: Jack & Jill
Join a pioneering mobile consumer social and dating app studio in London, where you will have the unique opportunity to be the first dedicated Data Scientist. With a rich history of 25 years and millions of active users, the company fosters a dynamic work culture that encourages innovation and ownership, allowing you to directly influence product development while enjoying the stability of a well-established brand. Benefit from direct access to founders, a collaborative environment, and the freedom to shape data science practices across a diverse portfolio of products.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist at market-leading mobile consumer social and dating app studio
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning models or NLP. This is your chance to demonstrate what you can do beyond the CV.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you'd tackle real-world problems, like building recommendation engines or churn prediction models.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our company. Tailor your application to highlight how your experience aligns with our mission and the role.
We think you need these skills to ace Data Scientist at market-leading mobile consumer social and dating app studio
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data science! Share specific projects or experiences that highlight your skills in building models and solving complex problems. We love seeing candidates who are genuinely excited about the work they do.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with machine learning, Python, and any relevant projects that align with our needs. We want to see how your background fits perfectly with what we’re looking for!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate candidates who can communicate complex ideas simply, just like you would when translating business questions into technical solutions.
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 it gets to the right people. Plus, it shows you’re serious about joining our team at this exciting stage of growth.
How to prepare for a job interview at Jack & Jill
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be ready to explain how you've built and deployed models, particularly recommendation engines and churn prediction frameworks. This role is all about ownership, so show them you can take charge of the entire process.
✨Showcase Your Python Proficiency
Since expert-level Python skills are a must, prepare to demonstrate your knowledge of libraries like pandas and scikit-learn. You might be asked to solve a problem on the spot, so brush up on your coding skills and be ready to write some clean, efficient code.
✨Translate Business Needs into Data Solutions
This role requires translating complex business questions into actionable insights. Practice articulating how you've done this in past projects. Use specific examples where you turned vague requirements into clear, data-driven solutions that had a real impact.
✨Prepare for Technical and Cultural Fit Questions
As the first dedicated Data Scientist, you'll need to fit into their culture and work closely with founders. Be prepared to discuss how you approach collaboration and decision-making. Show enthusiasm for shaping a data-driven product culture and how you can contribute to it.
