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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Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.