Lead Data Scientist

Christy Media Solutions
Aylesbury, United Kingdom
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 100K

Job location

Aylesbury, United Kingdom

Tech stack

Artificial Intelligence
Airflow
Python
Machine Learning
TensorFlow
SQL Databases
Reinforcement Learning
Google Cloud Platform
Deep Learning
PySpark
Video Streaming

Job description

We're hiring a Lead Data Scientist to shape how millions of users discover content on a large-scale video streaming platform.

You'll lead the development of recommendation and personalisation models, working closely with engineers, product managers, and fellow data scientists across international teams. This is a hands-on role covering everything from feature creation and experimentation through to production deployment - with opportunities to work on foundation models and reinforcement learning.

What You'll Do

  • Lead and evolve recommendation and personalisation models
  • Develop and deploy ML solutions at scale (real-time and batch)
  • Work with deep learning, graph-based methods, and GenAI technologies
  • Partner cross-functionally to turn complex data into real product impact
  • Influence technical direction and mentor other data scientists

Requirements

  • 5+ years' experience in machine learning or applied data science
  • Deep learning expertise (TensorFlow), plus Python, SQL, and PySpark
  • Experience deploying ML on Google Cloud Platform (Vertex AI, Kubeflow, Airflow)
  • Advanced degree in a quantitative field (or equivalent experience)

Benefits & conditions

  • Massive scale & real impact - your work directly shapes user experience
  • Modern ML challenges - from deep learning to GenAI and reinforcement learning
  • End-to-end ownership - see models go from idea to production
  • Smart, collaborative teams - work with experts across data, engineering, and product
  • Room to lead - influence strategy, tools, and how data science is done

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