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Xpertise Recruitment

Principal Data Scientist

England
£650 – £750/day
Posted about 18 hours ago
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Principal Data Scientist

Machine Learning | ML | Data Science

Remote (EU only)
Long term contract 18 months
Competitive day rates

We are looking for a Principal Product Data Scientist to join a team developing predictive maintenance products and advanced machine learning solutions for a FTSE 100 organisation.

This is a senior individual contributor role for someone who combines strong machine learning expertise with excellent software engineering practices and a product-focused mindset.

You'll have ownership of projects from initial problem definition through to the delivery of production-ready solutions, working on real-world challenges where data science directly influences product direction and business outcomes.

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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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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What You'll Be Doing

  • Designing, developing and deploying machine learning models
  • Building production-grade data science products
  • Translating business challenges into robust modelling approaches
  • Working across the full data science lifecycle, from discovery through to deployment
  • Maintaining high standards of code quality and engineering practice
  • Reviewing code and contributing to collaborative development processes
  • Explaining complex results and recommendations to both technical and non-technical audiences

What We're Looking For

  • Extensive commercial experience in machine learning and predictive modelling
  • Strong software engineering capability, ideally in Python
  • Experience deploying and maintaining machine learning models in production
  • Deep understanding of modern machine learning techniques and their underlying principles
  • Ability to work independently and lead complex initiatives
  • Strong communication and stakeholder engagement skills

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Desirable

  • Predictive maintenance experience
  • MLOps and model deployment experience
  • Cloud-based machine learning platforms
  • Experience building customer-facing or product-focused solutions

We're interested in individuals who have successfully built and delivered machine learning products in complex environments.

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Skills

Machine Learning
Predictive Modelling
Software Engineering
Python
MLOps
Model Deployment
Cloud-Based Platforms
Data Science
Stakeholder Engagement
Communication
Code Quality
Collaborative Development
Problem Definition
Production-Grade Solutions
Customer-Facing Solutions
Product-Focused Mindset

Location

England, United Kingdom

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