At a Glance
- Tasks: Design and deliver scalable data products and analytical solutions for AI initiatives.
- Company: Join a pioneering law firm investing in innovative R&D for data-driven legal services.
- Benefits: Earn up to £90,000 plus benefits in a hybrid work environment.
- Other info: Collaborative team culture with opportunities for continuous improvement and career growth.
- Why this job: Shape the future of data and AI while making a real impact in a global organisation.
- Qualifications: Strong Python, SQL, and PySpark skills with experience in data pipelines and machine learning.
The predicted salary is between 63000 - 77000 £ per year.
- 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 Py Spark 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.
Data Science Engineer in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
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We think you need these skills to ace Data Science Engineer in London
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