Data Science Engineer

Want to work at the intersection of Data Engineering, Data Science and AI? This is an opportunity to join a newly established R&D function where you'll help build the data foundations that power innovative AI products. Working in a small, highly collaborative team, you'll have the chance to influence technical direction, own projects end-to-end, and create scalable data assets that drive real business impact.

The Company

They are investing heavily in Data and AI, building a new capability focused on developing data-driven products and intelligent solutions. The team is intentionally small and multidisciplinary, bringing together expertise across Data Science, Data Engineering, AI and Product Development. This is a hands-on environment where collaboration, autonomy and continuous learning are highly valued. Candidates who enjoy startup-style ownership and working in agile teams are likely to thrive.

The Role

• Build and maintain scalable data pipelines using Microsoft Fabric and Databricks.
• Design reusable data assets, lakehouse models and analytical products.
• Conduct exploratory data analysis and uncover opportunities for modelling and insight generation.
• Develop and deploy machine learning solutions across structured and semi-structured data.
• Work on NLP, document-processing, entity resolution and information extraction use cases.
• Collaborate closely with technical and business stakeholders to solve complex problems.
• Apply engineering best practices including Git, testing, APIs and CI/CD.

Your Skills & Experience

• Strong commercial experience spanning both Data Engineering and Data Science.
• Advanced Python, SQL and ideally PySpark.
• Hands-on experience with Microsoft Fabric and Databricks.
• Strong understanding of machine learning, feature engineering, model validation and statistical analysis.
• Experience building production-grade data pipelines and reusable data products.
• Exposure to NLP, document-heavy datasets, entity resolution or information extraction.
• Ability to communicate technical concepts clearly and translate business requirements into analytical solutions.
• Previous experience in a startup, scale-up, or small agile team environment would be highly beneficial.

What They Offer

• Hybrid working arrangement.
• Opportunity to work on cutting-edge Data and AI initiatives.
• Significant ownership and visibility within a growing function.
• Clear progression and exposure to senior Data, AI and R&D leaders.