At a Glance
- Tasks: Build ML models that drive commercial decisions and analyse marketing effectiveness.
- Company: Global live entertainment business investing in data science for transformation.
- Benefits: Competitive salary, hybrid working model, and a bonus structure.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a rapidly scaling team and make a real impact on business outcomes.
- 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 and supportive environment, all while enjoying the vibrant culture of London. The hybrid working model allows for flexibility, ensuring a healthy work-life balance as you contribute to meaningful marketing initiatives.
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 fellow data enthusiasts. 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 outcomes in past roles.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your approach to A/B testing and how you would tackle marketing effectiveness projects.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals who can contribute to our data science team. Don’t miss out on the chance to be part of something big!
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 how you've influenced commercial decisions in the past.
Showcase Your Technical Skills:Don’t forget to list your technical skills prominently! We want to see your proficiency in Python, SQL, and any cloud platforms you’ve worked with. If you have experience with statistical modelling, make it shine!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
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 led to measurable business impact.
✨A/B Testing Insights
Since the role involves designing and analysing A/B tests, prepare to talk about your experience with experimentation frameworks. Have a couple of case studies ready where you’ve successfully implemented A/B tests and what insights you derived from them.
✨Data Storytelling Skills
This position requires strong communication skills, especially in data storytelling. Practice explaining complex data insights in a simple way. Think about how you can present your findings through dashboards or visualisations that would resonate with stakeholders.
✨Collaborative Mindset
Collaboration is key in this role, so be prepared to discuss how you've worked with analysts and other stakeholders in the past. Highlight any experiences where teamwork led to successful outcomes, especially in marketing effectiveness or commercial decision-making.
