Mid-Level Data Scientist

• Develop and deploy machine learning and statistical models to solve business problems.
• Analyse large and complex datasets to identify trends, patterns and opportunities.
• Use Python and SQL to extract, manipulate and analyse data.
• Perform exploratory data analysis and feature engineering.
• Build predictive models and evaluate their performance.
• Work closely with Data Engineers to ensure reliable and scalable data pipelines.
• Translate technical findings into clear recommendations for non-technical stakeholders.
• Present insights and model outputs to senior business stakeholders.
• Continuously improve existing models, processes and analytical approaches.
• Contribute to the development of best practices across the wider data function.

We’re looking for someone with approximately 2-3 years’ commercial Data Science experience who can take ownership of projects and confidently work with both technical and non-technical stakeholders.

You’ll ideally have:

• Strong commercial experience as a Data Scientist.
• Excellent Python skills.
• Strong SQL experience.
• Solid understanding of machine learning and statistical modelling.
• Experience working with predictive modelling techniques.
• Strong analytical and problem-solving skills.
• Experience communicating technical findings to non-technical audiences.
• A degree in Data Science, Computer Science, Mathematics, Statistics or another STEM-related discipline.

Desirable Skills

• Experience with cloud platforms such as AWS, Azure or GCP.
• Experience with Pandas, NumPy and Scikit-learn.
• Knowledge of data visualisation tools such as Power BI or Tableau.
• Experience with Git/version control.
• Exposure to Generative AI, LLMs or NLP.
• Experience deploying models into production environments.

• Competative salary
• Hybrid working
• 25 days’ annual leave + bank holidays
• Company pension scheme
• Private healthcare
• Annual performance bonus
• Professional development and training budget
• Opportunity to work with modern data and AI technologies
• Clear progression opportunities within the data team