Data Scientist

Data Scientist Windsor - 3-4 days per week Up to £60,000 This is an exciting opportunity to join a growing organisation at a pivotal stage in its data and AI journey. You'll play a key role in building a modern analytics capability from the ground up, helping to transform fragmented data into actionable insight while contributing to innovative machine learning, forecasting, and AI initiatives.

The Company They are a well-established organisation undergoing significant growth and investment in data, analytics, and technology. With an ambitious transformation programme underway, they are modernising their data infrastructure and building a scalable cloud-based platform to support future growth.

Their focus is on improving decision-making through high-quality data, predictive analytics, and AI-enabled applications. Working in a small, collaborative team, you'll have the opportunity to influence strategy, shape solutions, and see your work deliver tangible business impact.

The Role As a Data Scientist, you will work closely with senior stakeholders to develop data products, analytical models, and AI-driven solutions that support both operational and commercial objectives.

Key responsibilities include

Designing and implementing scalable data models within a modern cloud data platform Improving data quality, standardisation, and reconciliation across multiple source systems Performing entity resolution and fuzzy matching to create trusted records and improve data integrity Developing forecasting models to support business performance, resource planning, and operational decision-making Building machine learning and predictive analytics solutions across a range of business challenges Supporting AI-driven document processing and information extraction initiatives Creating insightful Power BI dashboards and reports for senior leadership teams Working with Snowflake to support data warehousing and analytical modelling activities Contributing to data governance, testing, and quality assurance processes Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions <...

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