Why This Role Stands Out
This hybrid role offers a fantastic opportunity to build foundational data capabilities within a globally recognized organization, with a competitive salary of up to £90,000. You'll thrive here if you possess strong Python, SQL, and PySpark skills, and are eager to design and deliver scalable data products that drive AI innovation. Apply now to shape the future of data and AI in legal services!
Quick Overview
Job Description
Data Science Engineer
Up to £90,000+ Benefits
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:
- 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.
YOUR SKILLS AND EXPERIENCE:You will bring strong capability in:
- 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.
THE BENEFITS:You will receive a salary of up to £90,000 depending on experience.HOW TO APPLY:Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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