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Data scientist

Nottingham (Nottinghamshire)
Digital Waffle
Data scientist
Posted: 11h ago
Offer description

Role: Data Scientist

Location: Nottingham, UK (80% Remote)

Salary: £60k


The Opportunity

A growing, data-driven organisation is looking for a mid-level Data Scientist to help unlock the value of its data. This is a hands-on role where you’ll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights.


You’ll have the freedom to own problems end-to-end, from exploration through to deployment, while contributing to a modern, evolving data function.


What You’ll Be Doing

* Designing and building data science solutions using Python
* Exploring datasets to uncover trends, patterns, and opportunities
* Applying statistical methods and machine learning techniques to solve business challenges
* Using clustering and segmentation to enhance analysis where relevant
* Translating technical outputs into clear insights for a range of stakeholders
* Supporting the deployment, monitoring, and ongoing improvement of models
* Contributing to best practices, tooling, and ways of working within the data team


What They’re Looking For

* Around 3–5 years’ experience in a Data Science or advanced analytics role
* Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn
* Experience with gradient boosting frameworks (e.g. LightGBM or similar)
* Solid grounding in statistics and machine learning concepts
* Comfortable working with structured data and SQL
* Ability to communicate insights clearly to both technical and non-technical audiences
* Experience taking models beyond experimentation into production environments
* Strong analytical thinking and problem-solving ability


Nice to Have

* Exposure to R for analysis or experimentation
* Understanding of modern engineering practices (CI/CD, Docker, or similar)
* Experience with cloud platforms (AWS, Azure, or GCP)
* Familiarity with version control (Git) and collaborative workflows
* Experience working in Agile environments

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