Data Scientist at market-leading mobile consumer social and dating app studio
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-04
Listing for:
Jack & Jill
Full Time
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Analyst, AI Engineer, Data Scientist
Job Description & How to Apply Below
Job Title: Data Scientist
Salary: Not Disclosed
Company
Description:
Long-standing mobile consumer social and dating app studio with 25 years of building market-leading products including Africa's largest dating platform.
Job Description: 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.
- 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.
- 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 Tensor Flow.
- Exceptional ability to translate vague business requirements into solvable technical problems and actionable insights without hand‑offs.
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