Data Scientist

You will:

• Develop, test, and deploy machine learning models to solve business challenges.
• Build and optimise data models to support analytics, reporting, and AI initiatives.
• Design and maintain scalable data pipelines, ensuring data quality and reliability.
• Deliver insightful Power BI dashboards and reporting solutions.
• Work closely with stakeholders to translate business requirements into data-driven solutions.
• Support the development of AI-powered applications and process automation initiatives.
• Contribute to best practices across data engineering, governance, testing, and deployment.
• Present findings and recommendations to both technical and non-technical audiences.

• Strong commercial experience in Data Science, Advanced Analytics, or Data Engineering.
• Hands-on experience developing and deploying machine learning models.
• Experience working with modern cloud data platforms, ideally Snowflake or similar technologies.
• Strong understanding of data modelling and data warehousing principles.
• Experience building dashboards and reporting solutions using Power BI.
• Familiarity with software development lifecycle methodologies and CI/CD practices.
• Strong stakeholder management and communication skills.
• A proactive and solutions-focused approach to problem solving.

They are a well-established business investing heavily in data, analytics, and digital transformation. With an expanding data function and ambitious growth plans, they are focused on leveraging advanced analytics and AI to improve operational performance and drive strategic outcomes. The environment is collaborative, fast-paced, and offers genuine opportunities to make an impact.