At a Glance
- Tasks: Build AI that protects valuable content and disrupts digital piracy.
- Company: Join Friend MTS, a leader in media security and AI innovation.
- Benefits: Enjoy 25 days leave, enhanced pension, and mentorship from experts.
- Other info: Flexible work environment with clear career progression opportunities.
- Why this job: Tackle real-world data challenges and make a significant impact.
- Qualifications: Experience in Python, SQL, and machine learning is essential.
The predicted salary is between 63000 - 77000 £ per year.
Location
Manchester or London (Hybrid)
Help build AI that protects the world's most valuable content.
Every weekend, millions of people watch live sport.
Some watch legally.
Many don't.
Friend MTS helps the world's leading broadcasters, sports organisations and streaming platforms understand, detect and disrupt digital piracy at internet scale.
We're investing heavily in AI to solve problems that traditional software can't.
If you're excited about applying AI to messy, real-world data - not Kaggle competitions - we'd like to talk.
The opportunity
As an Applied AI Data Scientist, you'll work on some of the most challenging data problems in the media and cyber security industries.
You'll help build AI-powered products that analyse streaming, network and behavioural data to uncover organised piracy, identify abnormal activity and provide actionable intelligence to our customers.
This isn't a research role.
It's about applying AI to solve real customer problems.
You'll work alongside software engineers, intelligence analysts and product managers to build production systems used by customers around the world.
What you'll build
You’ll help develop intelligent systems that can
- Detect organised piracy activity
- Identify abnormal behavioural patterns
- Analyse large-scale streaming and network data
- Automate investigations using LLMs and AI agents
- Discover hidden relationships across billions of events
- Turn complex data into products customers rely on every day
Some projects will last weeks. Others will become core parts of our platform.
What you'll do
You’ll be involved across the full AI lifecycle, including
- Exploring and understanding complex datasets
- Designing and training machine learning models
- Building AI-powered applications
- Writing clean, maintainable Python code
- Working closely with Engineering to deploy production systems
- Collaborating with Product and Operational Intelligence teams
- Experimenting with new AI techniques and technologies
What we're looking for
We're more interested in how you think than whether you've used every technology we use.
We're looking for people who enjoy solving difficult technical problems, learn quickly and care about building high-quality software.
You’ll bring experience in
- Python
- SQL
- Machine Learning
- Cloud platforms such as AWS
- Working with large datasets
- Production software development
Experience with any of the following is useful, but not essential
- LLMs
- AI Agents
- Py Torch
- XGBoost
- Graph analytics
- Behavioural modelling
- Cyber security
- Network analytics
- Our technology
- Our technology stack continues to evolve, but you'll typically work with:
- Python
- SQL
- AWS
- Py Torch
- Scikit-learn
- XGBoost
- Docker
- Git Hub
- Claude Code
- Git Hub Copilot
- LLMs
- AI Agents
Why Friend MTS?
You’ll work on problems very few engineers ever encounter.
Internet-scale systems.
Adversarial behaviour.
Real-time intelligence.
Applied AI.
You’ll help build technology that protects some of the world's largest broadcasters, sports organisations and streaming platforms while learning from a highly experienced engineering team.
If solving difficult technical problems excites you, we'd love to hear from you.
What We Offer
- 25 days of annual leave (Incl. Bank Holidays) + 1 day off for your birthday
- Enhanced Pension - 5% employee and 5% employer contribution
- Life Assurance - on the successful completion of your probation (4x your salary)
- BUPA (on the successfulcompletion of your probation)
- Employee Assistance Programme
- Enhanced Maternity, Paternity and Adoption Leave (after a qualifying period)
- Various Learning and Development Platforms
- A flexible Benefits and Wellbeing Platform
- Full tech set up to ensure you have what you need to be successful in your role
- Weekly breakfasts in the office
- Mentorship: Direct access to senior data scientists and engineers in a supportive, high-growth environment.
- Impact: The chance to work on technology that protects some of the most valuable media rights in the world.
- Growth: A clear career progression path within a private-equity-backed, global tech company.
Here at Friend MTS, we are dedicated to nurturing and expanding a culture of belonging where everyone feels seen, heard, valued for who they are.
By embracing the diversity of our people (and future people!) we achieve our best work, together.
We ensure that at all stages of our hiring process, your education level, neurodivergence, background, race, religion, colour, sex, age, sexual orientation, national origin, or disability will not influence your chances for selection.
If you are interested in applying for a role at Friend MTS and need special assistance, please make us aware and we will support you in accommodating this.
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Applied AI Data Scientist in London 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 in London
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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.
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We think you need these skills to ace Applied AI Data Scientist in London
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!
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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.
