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

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.