MBN Solutions | Principal Data Scientist

MBN Solutions
Edinburgh
1 year ago
Applications closed

Principal Data Scientist – Media - (90% remote) - £120k


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.


We’re looking for a Principal Data Scientist who has experience in developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects.


Who are we?

We’re one of the UK’s largest media companies and we’re looking for a Senior 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.


What skills should I have?

As our Principal Data Scientist you will have:

  • At least 8 years Python programming experience
  • At least 8 years experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc)
  • Experience applying models to Big Data
  • 5 years experience building CI/CD pipelines using Kuberentes
  • Exerience deploying to cloud (We use GCP- but any cloud is fine)



What’s on offer?

There’s a generous base salary of up to £120k 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 our offices in London 2-4 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
  • Call me on


Please note: you must be eligible to work in the UK to be considered for this position.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.