Rodeo
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Harnham

Data Scientist

London
£70k – £90k/yr
Posted about 13 hours ago
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Data Science Engineer

Location: London
Working Days: 2-3 days


About the Role

Join a newly established R&D function building data-driven and AI-enabled products. This is a hands-on role for someone who enjoys combining Data Science and Data Engineering to create scalable data solutions with real business impact.


The Company

They are investing heavily in data and AI, with a small multidisciplinary team focused on building analytical products from concept through to production. You'll work in a collaborative environment with plenty of ownership and exposure to cutting-edge technologies.

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 scalable data pipelines using Microsoft Fabric and Databricks
  • Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction
  • Work with structured, semi-structured, and document-heavy datasets
  • Create reusable data assets and analytical products
  • Contribute to testing, APIs, CI/CD, and production deployments
  • Partner with stakeholders to solve business challenges through data

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Your Skills & Experience

  • Strong experience across both Data Science and Data Engineering
  • Hands-on expertise with Microsoft Fabric and Databricks
  • Advanced Python and SQL skills, with PySpark desirable
  • Experience building data pipelines and machine learning models
  • Knowledge of NLP, entity resolution, or document processing is advantageous
  • Strong communication skills and commercial awareness

Desired Skills and Experience

  • Python
  • Fabric
  • Databricks
  • ETL
  • CI/CD
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Location

London, England, United Kingdom

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