Data Scientist & Engineer — Legal AI Data Platforms

Energy Jobline ZR; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Job summary

Norton Rose Fulbright is building a new R&D capability focused on data-driven and AI-enabled products for legal services. The Data Scientist & Engineer will develop trusted data assets, pipelines and lakehouse models using Microsoft Fabric and Databricks, collaborating with the Data Programme to turn priority sources into governed data products.

The role combines data engineering and applied data science, with hands-on work across discovery, prototyping, productionisation and continuous

Responsibilities

• Partner with the Data Programme, data owners and system teams to assess, access and combine priority internal and external data sources, understanding quality, permissions and fitness for use.
• Design, build and operate reliable pipelines in Microsoft Fabric and Databricks to ingest, clean, standardise, enrich, version and publish structured, semi-structured and unstructured data as reusable data assets.
• Create scalable lakehouse data models, schemas, data contracts and reusable features for entities such as clients, organisations, people, matters, sectors, jurisdictions, opportunities and legal topics.
• Implement data-quality checks, lineage, provenance, observability, monitoring and change management within Fabric and Databricks workflows so data assets remain trusted over time.
• Conduct exploratory data analysis to surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use.
• Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems.
• Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data.
• Publish curated datasets, features and analytical outputs through approved Fabric and Databricks data products, tables, APIs, search indexes, batch pipelines or product features.
• Maintain reproducible code, tests, model and data documentation, evaluation evidence and clear statements of limitations and appropriate use.
• Use AI agents and coding assistants responsibly to accelerate exploratory work, pipeline development, testing and documentation, while retaining ownership of analytical judgement and verification.

Job description

Norton Rose Fulbright is building a new R&D capability focused on data-driven and AI-enabled products for legal services. The Data Scientist & Engineer will develop trusted data assets, pipelines and lakehouse models using Microsoft Fabric and Databricks, collaborating with the Data Programme to turn priority sources into governed data products.

The role combines data engineering and applied data science, with hands-on work across discovery, prototyping, productionisation and continuous