At a Glance
- Tasks: Build ML models that drive real business decisions and analyse marketing effectiveness.
- Company: Join a global live entertainment leader transforming its Data Science capabilities.
- Benefits: Competitive salary, hybrid working model, and a bonus structure.
- Other info: Collaborative team culture with opportunities for growth and development.
- Why this job: Make a measurable impact in a fast-paced environment with exciting projects.
- Qualifications: Strong foundations in ML and statistical modelling; quick learners welcome.
The predicted salary is between 45000 - 55000 £ per year.
Do you want to build ML models that directly influence commercial decisions? Have you delivered measurable business impact through experimentation or optimisation? Are you ready to work on large-scale marketing effectiveness and MMM projects?
A global live entertainment business is investing heavily in its Data Science capability as part of a wider transformation across CRM, marketing effectiveness, and commercial growth. With the team rapidly scaling across the UK and US, this is an opportunity to join a highly visible function working on projects with real business impact.
This role is ideal for a hands-on Data Scientist with strong ML and statistical modelling foundations who wants exposure to experimentation, marketing analytics, and large-scale commercial decision making. MMM experience is not required — they’re looking for someone technically strong who can learn quickly and deliver measurable outcomes.
Key Responsibilities- Build and refine machine learning and statistical models
- Design and analyse A/B tests and experimentation frameworks
- Work on marketing effectiveness and MMM initiatives
- Develop end-to-end data science solutions with measurable business impact
- Collaborate with analysts and stakeholders on measurement plans
- Communicate insights through dashboards and data storytelling
- Contribute to recommendation and propensity modelling projects
- Salary: £45k–£55k + 10% bonus
- Working model: Hybrid (2–3 days in Central London)
- Tech stack: Python, SQL, AWS/Azure/GCP, ML modelling
- Visa sponsorship: Cannot sponsor
Data Scientist - Global Entertainment, Marketing in London employer: Energy Jobline ZR
Join a dynamic global live entertainment business that prioritises innovation and growth in its Data Science capabilities. With a strong focus on employee development, you will have the opportunity to work on impactful projects in a collaborative environment, leveraging cutting-edge technology while enjoying a hybrid working model in the vibrant city of London. This role not only offers competitive compensation but also fosters a culture of learning and experimentation, making it an excellent place for aspiring Data Scientists to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Global Entertainment, Marketing in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML models and data projects. This is your chance to demonstrate your hands-on experience and how you've delivered measurable business impact.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding marketing analytics. Be ready to discuss how you can contribute to A/B testing and MMM initiatives, as well as your approach to data storytelling.
✨Tip Number 4
Apply through our website! We’re always looking for talented individuals who are eager to learn and make an impact. Don’t miss out on the opportunity to join a dynamic team in a global entertainment business.
We think you need these skills to ace Data Scientist - Global Entertainment, Marketing in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist. Highlight your experience with ML models, A/B testing, and any relevant projects that showcase your ability to deliver measurable business impact.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how your skills align with our needs. Mention specific examples of your work in marketing analytics or experimentation that could resonate with our projects.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and any cloud platforms you’ve worked with. We want to see how you can contribute to our tech stack and help us build effective data solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your ML Models
Make sure you brush up on your machine learning models and statistical techniques. Be ready to discuss how you've built and refined models in the past, and think of specific examples where your work has had a measurable impact on business decisions.
✨A/B Testing is Key
Since this role involves designing and analysing A/B tests, be prepared to talk about your experience with experimentation frameworks. Have a couple of examples ready that showcase how your testing led to actionable insights or improvements.
✨Data Storytelling Matters
This position requires you to communicate insights effectively. Practice explaining complex data findings in simple terms, and think about how you can use dashboards to tell a compelling story about your data analysis.
✨Collaboration is Crucial
You'll be working closely with analysts and stakeholders, so highlight your teamwork skills. Share experiences where collaboration led to successful outcomes, and show that you're open to feedback and eager to learn from others.
