Harnham
Data Science Engineer

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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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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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