Data Scientist

Enso Recruitment is partnering with a leading multi-business organisation to appoint an experienced Data Scientist to join their expanding team, reporting to the Head of Data & Analytics.

This is an exciting opportunity to work at the intersection of data, technology, and business transformation. You will collaborate closely with colleagues within Technology & Innovation, as well as senior leaders and teams across the wider business, to identify, prioritise, and deliver initiatives that generate measurable value from data.

• Lead the end-to-end data science lifecycle, from problem definition and data discovery through to model deployment, monitoring, and continuous improvement
• Partner with business stakeholders to translate strategic objectives into data-driven, ML, and AI solutions that deliver measurable value
• Source, transform, and analyse structured and unstructured data using scalable, production-ready approaches
• Design, build, validate, and deploy statistical, machine learning, and AI models, including experimentation and A/B testing
• Develop and maintain ML pipelines and MLOps practices, covering version control, CI/CD, model registries, monitoring, and retraining
• Work within Azure-based data and analytics platforms (including Databricks), contributing to aligned and scalable data architecture
• Apply and support data governance standards, including data quality, documentation, lineage, privacy, security, and ethical AI practices
• Leverage AI and GenAI tools and frameworks (e.g. Azure AI Foundry) to deliver innovative and practical business solutions
• Produce clear technical and business documentation, ensuring analytical solutions are maintainable, reusable, and well understood
• Communicate insights and recommendations effectively to technical and non-technical stakeholders, operating within an agile, value-focused delivery environment

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline
• Significant post-academic experience in Data Science, Machine Learning, or Advanced Analytics
• Strong proficiency in Python, SQL, and Databricks
• Experience with statistical and machine learning techniques.
• Experience with MLOps, experimentation, model monitoring, and tools such as MLFlow
• Familiarity with Azure data and AI platforms, including GenAI development frameworks
• Experience working within data governance and enterprise data environments
• Strong communication skills and the ability to work effectively with both technical and business stakeholders

• 25 Holidays + Stat
• Bonus
• Learning & Development

To find out more, and to be considered for this opportunity, please contact Enso Recruitment today!