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Ruebik

Data Scientist

Burgess Hill
£4k/day
Posted about 18 hours ago
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Data Scientist

We are recruiting a hands-on Data Scientist to join a major enterprise technology programme, helping develop a production intelligence and analytics platform that brings together multiple sources of operational and customer telemetry.

This opportunity suits someone who is genuinely comfortable working with data end-to-end: integrating new sources, analysing trends and anomalies, and converting complex telemetry into clear, decision-ready dashboards and insights for senior stakeholders.

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.

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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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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.

You will work primarily with Python, developing within an established layered architecture covering data ingestion, analysis, cloud storage, and visualisation.

Key skills:

  • Python 3.11+
  • pandas and NumPy
  • Streamlit dashboard development
  • Plotly, matplotlib, and similar visualisation tooling
  • SQL/API integration
  • Snowflake/OpenSearch or comparable platforms
  • AWS S3/Parquet exposure
  • Docker/Kubernetes and CI/CD
  • Applied statistics and anomaly detection
  • Time-series analysis

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You should be self-directed, commercially aware, and able to translate stakeholder questions into meaningful metrics rather than simply producing technical outputs.

Contract: £4000/day

Location: Burgess Hill – 3 days per week onsite

Experience: circa 5–7 years

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Location

Burgess Hill, England, United Kingdom

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