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Harnham

Data Science Engineer

City of London
£70k – £90k/yr
Posted about 23 hours ago
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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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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.

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Strong

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.

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Strong

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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Location

City of London, England, United Kingdom

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