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Data Scientist at market-leading mobile consumer social and dating app studio

Job in Greater London, London, Greater London, W1B, England, UK
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
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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.
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 Tensor Flow.
  • Exceptional ability to translate vague business requirements into solvable technical problems and actionable insights without hand‑offs.
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