Applied AI Data Scientist β€” Real-World AI for Security

Applied AI Data Scientist β€” Real-World AI for Security

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Friend MTS

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 Β£ 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.

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Applied AI Data Scientist β€” 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.

Friend MTS

Contact Details:

Friend MTS Recruitment Team

We think you need these skills to ace Applied AI Data Scientist β€” Real-World AI for Security

Applied AI
Data Science
Streaming Data Analysis
Network Data Analysis
Behavioural Data Analysis
Collaboration Skills
Software Engineering Collaboration