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Harnham

Data Science Engineer

London
£70k – £90k/yr
Posted about 12 hours ago
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Data Science Engineer

London (Hybrid) | £70,000 - £90,000

Want to work at the intersection of Data Engineering, Data Science and AI? This is an opportunity to join a newly established R&D function where you'll help build the data foundations that power innovative AI products. Working in a small, highly collaborative team, you'll have the chance to influence technical direction, own projects end-to-end, and create scalable data assets that drive real business impact.

The Company

They are investing heavily in Data and AI, building a new capability focused on developing data-driven products and intelligent solutions. The team is intentionally small and multidisciplinary, bringing together expertise across Data Science, Data Engineering, AI and Product Development. This is a hands-on environment where collaboration, autonomy and continuous learning are highly valued. Candidates who enjoy startup-style ownership and working in agile teams are likely to thrive.

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.

Start with a chat, not a search bar

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

  • Build and maintain scalable data pipelines using Microsoft Fabric and Databricks.
  • Design reusable data assets, lakehouse models and analytical products.
  • Conduct exploratory data analysis and uncover opportunities for modelling and insight generation.
  • Develop and deploy machine learning solutions across structured and semi-structured data.
  • Work on NLP, document-processing, entity resolution and information extraction use cases.
  • Collaborate closely with technical and business stakeholders to solve complex problems.
  • Apply engineering best practices including Git, testing, APIs and CI/CD.

Your Skills & Experience

  • Strong commercial experience spanning both Data Engineering and Data Science.
  • Advanced Python, SQL and ideally PySpark.
  • Hands-on experience with Microsoft Fabric and Databricks.
  • Strong understanding of machine learning, feature engineering, model validation and statistical analysis.
  • Experience building production-grade data pipelines and reusable data products.
  • Exposure to NLP, document-heavy datasets, entity resolution or information extraction.
  • Ability to communicate technical concepts clearly and translate business requirements into analytical solutions.
  • Previous experience in a startup, scale-up, or small agile team environment would be highly beneficial.

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What They Offer

  • £70,000 - £90,000 base salary.
  • Hybrid working arrangement.
  • Opportunity to work on cutting-edge Data and AI initiatives.
  • Significant ownership and visibility within a growing function.
  • Clear progression and exposure to senior Data, AI and R&D leaders.

How to Apply

Apply now to find out more about this Data Science Engineer opportunity.

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Location

London, England, United Kingdom

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