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Women in Data®

Data Scientist

Reading
Posted about 23 hours ago
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Berkshire - Hybrid 2 days office attendance

Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale our clients data science practice. Sitting at the heart of the Data team, you will apply machine learning, predictive modeling, and statistical rigor to tackle real world business challenges across customer behaviour, risk, and pricing.

What You’ll Do

  • Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments.
  • Shape the Platform: Collaborate with Data Engineering and Analytics to build reproducible pipelines and integrate workloads into a Unified, AI-powered analytics platform.
  • Drive Business Impact: Translate raw, complex transactional data into actionable predictions and partner with cross-functional teams (Product, Marketing, Finance) to unlock competitive advantage.
  • Ensure Model Excellence: Monitor live model performance, guard against data drift, and champion best practices in MLOps.

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.

What You Bring

  • Proven experience building and iterating on ML models in a commercial setting.
  • Expert-level Python skills (pandas, NumPy, scikit-learn, etc.) and strong statistical grounding.
  • Experience working within cloud or modern data environments (Microsoft Fabric, Azure, or Databricks).
  • Clear, impactful communication skills to bridge technical models and business outcomes.

This is an exceptional opportunity for a candidate who wishes to help shape DS within an established business that has embraced new data platforms through smart business decisions and a collaborative data function.

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Contact: Justin.toomey@datatech.org.uk

#DataScience #DataScientist #MachineLearning #MLOps #Python #MicrosoftFabric #PredictiveAnalytics #FinancialServices #TechJobs #BerkshireJobs #DataEngineering #Fintec


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Location

Reading, England, United Kingdom

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