Data Science Engineer

• Building reliable data pipelines and reusable data assets using Microsoft Fabric and Databricks.
• Designing scalable lakehouse data models and governed datasets.
• Conducting exploratory data analysis and developing machine learning models.
• Applying NLP, entity resolution and information extraction techniques to document-heavy datasets.
• Deploying analytical solutions into production through APIs, pipelines and data products.
• Implementing data quality, monitoring, lineage and governance frameworks.
• Working closely with stakeholders to translate business challenges into analytical solutions.

• Python and SQL skills, with strong PySpark experience
• Hands-on expertise with Microsoft Fabric and Databricks.
• Experience building production-grade data pipelines, reusable data assets and machine learning solutions.
• Experience communicating technical concepts and business impact to non-technical stakeholders.
• Experience with Git, testing frameworks, APIs and CI/CD practices.

London (Hybrid)This is a great opportunity to join a newly established R&D function within a global organisation, where you can take ownership of building the foundational data capabilities that power AI products, advanced analytics, and business decision-making.THE COMPANY:This law firm is investing in a new R&D capability focused on developing data-driven and AI-enabled products that transform legal services and deliver commercial value across the wider business. You’ll join a collaborative, multidisciplinary team working across discovery, prototyping, engineering, productionisation and continuous improvement, helping shape the future of data and AI within a globally recognised organisation.THE ROLE:You will take ownership of designing and delivering scalable data products, pipelines and analytical solutions that support AI initiatives, business intelligence and client-focused innovation.Key responsibilities include