At a Glance
- Tasks: Use AI to protect media rights and analyse data for insights.
- Company: Friend MTS, a leader in AI for security in media.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and real-world applications.
- Why this job: Join a mission-driven team making a real impact in the media industry.
- Qualifications: Experience in AI, data analysis, and teamwork.
The predicted salary is between 63000 - 77000 £ per year.
Friend MTS is building AI that protects valuable media rights for broadcasters, sports organisations and streaming platforms.
As an Applied AI Data Scientist in a hybrid London/Manchester setup, you will work across streaming, network and behavioural data to detect piracy and uncover insights.
You’ll collaborate with software engineers, intelligence analysts and product managers to deploy production systems and deliver real-time intelligence to customers worldwide.
#J-18808-Ljbffr
Applied AI Data Scientist — Real-World AI for Security employer: Friend MTS
At Friend MTS, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to make a real impact in the world of media security. With a hybrid setup in London and Manchester, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, ensuring that our team members thrive both personally and professionally while contributing to cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Data Scientist — Real-World AI for Security
✨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 Friend MTS!
✨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 Applied AI Data Scientist — Real-World AI for Security at Friend MTS.
✨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 Friend MTS.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI Data Scientist — Real-World AI for Security at Friend MTS, 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 Applied AI Data Scientist — Real-World AI for Security
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 Friend MTS, 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 Friend MTS. 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 Friend MTS
✨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 Friend MTS!
✨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.
