Data Scientist

Work pattern – Hybrid – 2 times a month in the office. Salary – Up to £60,000 The Opportunity

We are seeking a mid-level Data Scientist with strong experience in Python for a new role in Nottingham.

You will be part of a small, but close team that covers Data Science, Business Intelligence and Analytics.

It is hybrid, 2 days a month in the office (so very flexible), but we are looking for someone with a sensible commute to Nottingham.

In this position you will work across a range of analytical and machine learning tasks, partnering with stakeholders to solve real business problems and support data-driven decision-making.

The business has 4-6 ML models in production, one of which is an award-winning. Generally these models are in the finance and risk areas – any experience of this would be a bonus, but certainly not essential.

In addition they have a number of side projects for you to get involved with, working with colleagues to deliver advanced analytics and insights.

This is a perfect role for someone who can engage confidently with stakeholders, work both independently and within a small team on defined analytical problems, can clearly communicate insights, and is comfortable contributing to production-ready data science solutions.

• Develop, test, and maintain data science solutions using Python
• Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities
• Apply statistical and machine learning techniques to address business questions
• Use segmentation and clustering techniques where appropriate to support insight generation
• Interpret model results and communicate insights clearly to technical and non-technical audiences
• Support model validation, documentation, and ongoing monitoring
• Contribute to continuous improvement of data science standards, tools, and ways of working

• 3 plus years in industry as a data scientist
• Solid understanding of statistics and machine learning fundamentals
• Experience working with structured data and SQL
• Ability to communicate analytical findings clearly and confidently
• Experience supporting machine learning models in production environments
• Hybrid working arrangements (requirement to travel to the office 2 days per month)
• 25 days holiday + bank holidays
• Yearly bonus scheme
• Contributory Pension scheme