Data Scientist

Digital Waffle
Nottingham, United Kingdom
Last month
£60,000 pa

Salary

£60,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
7 May 2026 (Last month)


Role: Data Scientist
Location: Nottingham, UK (80% Remote)
Salary: £60k

The Opportunity
A growing, data-driven organisation is looking for a 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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