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MBN Solutions

Senior Data Scientist

United Kingdom
£500/day
Posted about 13 hours ago
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Senior Data Scientist – Energy & Utilities

Contract
July Start
Fully Home Based UK Wide
3 month rolling
£500/day Inside IR35

We're looking for a Senior Data Scientist with strong Energy & Utilities experience to join a customer analytics programme, working on projects that drive commercial and operational decision-making.

The ideal candidate will have experience developing and implementing analytical and machine learning solutions within the Energy & Utilities sector, principally in customer strategy use cases, such as churn prevention, debt management and credit risk assessment.

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

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Key Requirements

  • Senior Data Scientist with strong commercial experience.
  • Proven background within the Energy & Utilities sector.
  • Experience in design and build of predictive models and ML solutions for customer churn, debt collection, credit risk assessment.
  • Strong statistical modelling and machine learning skills (Scikit-learn, Pandas, NumPy, SciPy).
  • Proficient in Python and SQL, preferably Databricks environment.
  • Excellent client-facing and stakeholder management skills, with the ability to communicate technical insights to business audiences.
  • Comfortable working closely with clients to understand business challenges and deliver data-driven solutions.

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If you have strong Energy & Utilities experience and have delivered customer-focused ML solutions press apply now!

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Skills

Data Science
Machine Learning
Predictive Modeling
Statistical Modeling
Python
SQL
Scikit-learn
Pandas
NumPy
SciPy
Client-facing
Stakeholder Management
Churn Prevention
Debt Management
Credit Risk Assessment

Location

United Kingdom

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