Data Science Engineer

Harnham; City Of London; Hybrid; GBP 81,000 - 99,000; Full time

Job summary

Harnham in London is seeking a Data Science Engineer to own the design and delivery of scalable data products and pipelines powering AI initiatives and business intelligence. You will build reliable data assets, develop ML models and apply NLP techniques to document-heavy datasets, delivering production-ready analytics solutions and governance frameworks.

The role offers hybrid London work arrangements with a focus on collaboration across discovery, prototyping and productionisation to shape

Qualifications

• Proven experience designing scalable data products and pipelines.
• Experience with NLP and information extraction on document-heavy data.
• Strong collaboration with stakeholders to translate business problems into analytics.

Responsibilities

• Build reliable data pipelines and assets using Microsoft Fabric and Databricks.
• Design scalable lakehouse data models and governed datasets.
• Conduct exploratory data analysis and develop machine learning models.
• Apply NLP, entity resolution and information extraction techniques to document-heavy datasets.
• Deploy analytical solutions into production through APIs, pipelines and data products.
• Implement data quality, monitoring, lineage and governance frameworks.

Skills

Python & SQL

PySpark

Databricks

Microsoft Fabric

ML pipelines

Stakeholder comms

Git & CI/CD

Tools

Git

APIs

CI/CD

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.