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MBN Solutions

Data Scientist

England
£60k – £85k/yr
Posted 1 day ago
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Data Scientist – Media - London - up to £75k

Are you a pro at building and deploying ML models?

Are you tired of just tinkering with the latest tech without actually making a real impact on business problems?

Maybe you'd like to join our team of 50 like-minded ML scientists and engineers who work with zero red tape to create practical solutions that actually work.

Who are we?

We’re one of the UK’s largest media companies and we’re looking for a Data Scientist to join our Data Science team who are working on modelling business problems including, our next generation of intelligent pricing, marketing, customer engagement tools. Building predictive and personalization models and deploying products at scale.

What should my background look like?

You’ll come from a strong statistical analysis/mathematical background with experience in applying solutions to real-world problems. You’ll be able to identify opportunities in data, have experience reviewing code for junior colleagues, worked with Data Engineering, Machine Learning and non-technical stakeholders. You’ll be comfortable assessing and determining how to optimize processes.

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.

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 skills should I have?

As our Data Scientist you will have:

  • At least 2 years experience in Statistics and Machine Learning
  • Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc)
  • At least 3 years Python programming experience
  • Experience applying models to Big Data
  • Familiar with the principles of Continuous Integration and Deployment (CI/CD)
  • Familiar with cloud (We use GCP- but any cloud is fine)
  • Ability to translate technical stuff to non-technical colleagues

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What’s on offer?

There’s a base salary of up to £75k on offer alongside a generous package which includes, up to 15% bonus, up to 10% matched pension contribution, extensive healthcare and wellness program and flexible working. This position will have flexible/Hybrid working but you will be required to attend one of our many offices spread throughout the UK 8 times a month

How do I find out more?

If you feel this is the role for you or would like to find out more get in touch by clicking the ‘apply now’ button or get in touch with me by the following:

  • Email me at mo@mbnsolutions.com
  • Call me on 02037736498

Please note - You must have full rights to work in the UK, as we are unable to offer visa sponsorship for this role

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Skills

Statistics
Machine Learning
Python
NumPy
Pandas
Scikit-Learn
Big Data
Continuous Integration And Deployment
GCP
Cloud Computing
Statistical Analysis
Mathematical Modeling
Code Review
Data Engineering

Location

England, United Kingdom

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