Senior Data Scientist

Senior Data Scientist

Full-Time 66000 - 77000 £ / year (est.) No working from home possible
MBN Solutions

At a Glance

  • Tasks: Build and deploy ML models to solve real business problems.
  • Company: Join one of the UK's largest media companies with a collaborative team.
  • Benefits: Up to £110k salary, bonuses, pension contributions, and flexible working.
  • Other info: Opportunity for career growth and working with like-minded professionals.
  • Why this job: Make a real impact with cutting-edge technology in a dynamic environment.
  • Qualifications: 4+ years in Statistics and Machine Learning, strong Python skills.

The predicted salary is between 66000 - 77000 £ per year.

Senior Data Scientist – Media - London - up to £110k

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 Senior Data Scientist who has experience 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 juniors 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?

  • At least 4 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

What’s on offer?

There’s a generous base salary of up to £110k 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

  • 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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Senior Data Scientist employer: MBN Solutions

Join one of the UK’s largest media companies as a Senior Data Scientist, where you will be part of a dynamic team of 50 ML scientists and engineers dedicated to creating impactful solutions without the hassle of red tape. Enjoy a competitive salary of up to £110k, alongside a generous benefits package that includes a bonus, matched pension contributions, and extensive healthcare options, all within a flexible working environment that promotes employee growth and collaboration in the vibrant city of London.

MBN Solutions

Contact Details:

MBN Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist

Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving ML models and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team.

We think you need these skills to ace Senior Data Scientist

Machine Learning
Statistical Analysis
Python Programming
Big Data
Data Engineering
Continuous Integration and Deployment (CI/CD)
Cloud Computing (GCP or similar)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Machine Learning and Python. We want to see how you've tackled real-world problems, so don’t hold back on those examples!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data science and how you can make an impact at StudySmarter. Keep it engaging and relevant to the role.

Showcase Your Projects:If you've worked on any interesting projects, especially those involving Big Data or CI/CD, make sure to mention them. We love seeing practical applications of your skills!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at MBN Solutions

Know Your Models Inside Out

Make sure you can discuss the Machine Learning models you've built in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This shows not only your technical skills but also your problem-solving abilities.

Brush Up on Your Python Skills

Since you'll be working with Python libraries like NumPy and Pandas, it’s crucial to be comfortable coding on the spot. Practice common data manipulation tasks and be prepared to write or debug code during the interview.

Prepare for Real-World Applications

Think about how your work has impacted business problems in the past. Be ready to share specific examples of how your models have driven decisions or improved processes. This will demonstrate your ability to translate technical solutions into business value.

Communicate Clearly with Non-Techies

You’ll need to explain complex concepts to non-technical stakeholders. Practice simplifying your explanations without losing the essence of your work. This skill is vital for collaboration and will set you apart from other candidates.