Data Scientist

Role: Data Scientist

Location: Nottingham, UK (90% Remote)

Salary: £60k

Key Skills:

• Python
• R
• SQL
• CI/CD

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