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Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP
Job Posted: 6 hours ago
Salary: £ 35,000 - 50,000 / Annum
Job Type: Permanent
Location: Manchester, Greater Manchester
Expire in: a month
Job Description
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 weekBefore You Apply
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