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

Remote (UK only)

Permanent

£35,000 - £50,000

Consultant

Greg Clark
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.    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 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
  • Curious, proactive, and outcome-focused
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, 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.
 
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