Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP

Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP, Computer Vision

We’re partnering with a fast-growing analytics and technology business operating in the media streaming sector to recruit a Full Stack Data Scientist. They provide data analytics tools for major entertainment brands that are household names around the globe. This role offers a chance to build models, generate insights, and work directly with real-world product and customer data across multiple data types - text, images, and time-series (tabular) data.

The Role

You’ll join a small, collaborative data team in a Full-Stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects.

Key responsibilities include:

• Enriching and preparing datasets to uncover actionable insights
  
  
• Building and evaluating time-series forecasts
  
  
• Prototyping AI/ML models (NLP and computer vision exposure)
  
  
• Translating findings into clear visual reports and concise business narratives
  
  
• Contributing to simple, reliable data pipelines and automated quality checks
  
  About You
  
  
• Minimum 1 year of commercial Data Science experience
  
  
• Strong hands-on Python (pandas, NumPy, scikit-learn) and SQL
  
  
• Sound understanding of statistics and forecasting
  
  
• Confident communicator - able to explain technical work clearly to non-technical audiences
  
  Why Apply
  
  
• Opportunity to build from scratch within a growing data function
  
  
• Exposure to cutting-edge work in NLP, time-series analysis, and computer vision
  
  
• Collaborative startup environment where ideas turn into production
  
  Competitive salary - £35,000–£50,000 DOE
  
  UK-based only, Fully remote working
  
  N.B. They do not offer visa sponsorship and you must be based in the UK.
  
  If you’re hands-on with data, love uncovering insight, and want to work where your models make a visible impact, we’d love to hear from you.
  
  APPLY NOW for more information and interview in the next week