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.
Key Responsibilities
* 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
Requirements
* 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
Package
* 25 Holidays + Stat
* Bonus
* Learning & Development
To find out more, and to be considered for this opportunity, please contact Enso Recruitment today!
#J-18808-Ljbffr