Senior Data Scientist: Consumer Tech Platform (Hybrid)

Senior Data Scientist: Consumer Tech Platform (Hybrid)

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Harnham

At a Glance

  • Tasks: Build retention and recommendation models for a thriving consumer tech platform.
  • Company: Join Harnham, a leading data science firm with a dynamic team in London.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Work in a high-impact team with monthly office visits in Leicester.
  • Why this job: Make a real impact on a platform with over 4 million members using cutting-edge ML solutions.
  • Qualifications: Experience in Python, SQL, and machine learning; strong collaboration skills required.

The predicted salary is between 63000 - 77000 Β£ per year.

Harnham is seeking an experienced Data Scientist to build retention, CLV and recommendation models for a 4M+ member platform.

You will work with senior stakeholders in a small, high-impact Data Science team in London, with hybrid work and monthly Leicester office visits.

The role focuses on ML solutions across retention, CLV, recommendations, search, forecasting and anomaly detection.

Expect Python and SQL heavy work, Databricks, dbt and MLflow experience, and close collaboration with Product,

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Senior Data Scientist: Consumer Tech Platform (Hybrid) employer: Harnham

Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.

Harnham

Contact Details:

Harnham Recruitment Team

We think you need these skills to ace Senior Data Scientist: Consumer Tech Platform (Hybrid)

Machine Learning (ML)
Retention Modelling
Customer Lifetime Value (CLV) Modelling
Recommendation Systems
Anomaly Detection
Forecasting
Python