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- Tasks: Build and deploy ML models to solve real business problems in a dynamic media environment.
- Company: Join one of the UK's largest media companies with a collaborative team of ML experts.
- Benefits: Earn up to £110k, enjoy bonuses, pension contributions, and flexible working options.
- Why this job: Make a real impact with your skills while working on innovative projects in a supportive team.
- Qualifications: 4+ years in Statistics and Machine Learning, strong Python skills, and experience with Big Data.
- Other info: Flexible/hybrid working with opportunities for career growth and development.
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 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?
- 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
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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Senior Data Scientist employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving ML models. Share them on platforms like GitHub or even your own website to impress potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and be ready to explain your thought process. Remember, they want to see how you approach problems!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Senior Data Scientist role. It shows you're genuinely interested and helps us keep track of your application more efficiently!
We think you need these skills to ace Senior Data Scientist
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 cool projects or models, make sure to mention them! We love seeing practical applications of your skills, especially if they relate to pricing or customer engagement.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any updates from our team!
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 expertise but also your problem-solving skills.
✨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. Practise common coding problems and be prepared to demonstrate your coding skills during the interview.
✨Prepare for Real-World Applications
Think about how your previous work has made a tangible impact on business problems. Be ready to share specific examples of how your data-driven decisions have led to successful outcomes, especially in areas like pricing or customer engagement.
✨Communicate Like a Pro
You’ll need to translate complex technical concepts to non-technical stakeholders. Practise explaining your projects in simple terms, focusing on the value they bring to the business. This will show that you can bridge the gap between tech and business effectively.