At a Glance
- Tasks: Build and deploy ML models to solve real business problems in a dynamic team.
- Company: Join one of the UK's largest media companies with a collaborative culture.
- Benefits: Generous salary, bonuses, matched pension, extensive healthcare, and flexible working.
- Other info: Flexible/hybrid work with opportunities for career growth and development.
- Why this job: Make a real impact with cutting-edge technology and innovative solutions.
- Qualifications: 4+ years in Statistics/ML, Python experience, and Big Data application skills.
The predicted salary is between 60000 - 80000 £ per year.
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. 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.
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, and have worked with Data Engineering, Machine Learning and non-technical stakeholders.
As our Senior Data Scientist you will 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)
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.
Data Science Data Science Senior Data Scientist (Remote) in England employer: MBN Solutions
Join one of the UK’s largest media companies as a Senior Data Scientist and be part of a dynamic team of 50 ML scientists and engineers dedicated to making a real impact. With a generous salary package, including bonuses and extensive healthcare benefits, you’ll enjoy a flexible working environment that fosters innovation and collaboration. Our culture prioritises employee growth, offering opportunities to mentor junior colleagues and work on cutting-edge projects that shape the future of media.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Remote) in England
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MBN Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Data Science Senior Data Scientist (Remote) at MBN Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MBN Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Data Science Senior Data Scientist (Remote) at MBN Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote) in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MBN Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MBN Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MBN Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MBN Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
