Data Scientist
Job in
Nottingham, Nottinghamshire, NG1, England, UK
Listed on 2026-06-01
Listing for:
Digital Waffle
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Role:
Data Scientist
Location:
Nottingham, UK (80% Remote)
Salary: £60k
The OpportunityA 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.
WhatYou’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
- Around 3-5 years’ experience in a Data Science or advanced analytics role
- Strong Python skills, including libraries such as pandas, Num Py, Sci Py, and scikit-learn
- Experience with gradient boosting frameworks (e.g. Light
GBM 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
- 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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