At a Glance
- Tasks: Build ML models that drive real business decisions and analyse marketing effectiveness.
- Company: Global live entertainment business transforming its Data Science capabilities.
- 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 measurable impact in the entertainment industry.
- 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
Interested? Please apply below.
Data Scientist - Global Entertainment, Marketing employer: Harnham
Join a dynamic global live entertainment business that prioritises innovation and growth in its Data Science capabilities. With a hybrid working model based in Central London, you'll enjoy a collaborative work culture that fosters professional development and offers opportunities to make a tangible impact on marketing effectiveness and commercial decisions. The company is committed to investing in its employees, providing a supportive environment where you can thrive and advance your career in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Global Entertainment, Marketing
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML models and data projects. We recommend using platforms like GitHub to share your work. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We suggest doing mock interviews with friends or using online resources. The more you practice, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.
We think you need these skills to ace Data Scientist - Global Entertainment, Marketing
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML models and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this Data Scientist role. Share specific examples of how you've delivered measurable business impact through experimentation or optimisation in the past.
Showcase Your Technical Skills:Since we’re looking for someone with strong ML and statistical modelling foundations, make sure to mention your proficiency in Python, SQL, and any cloud platforms you’ve worked with. We love seeing those technical skills in action!
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 rapidly scaling team!
How to prepare for a job interview at Harnham
✨Know Your ML Models
Make sure you brush up on your machine learning models before the interview. Be ready to discuss how you've built and refined models in the past, and think about 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 examples ready that showcase how your testing has influenced marketing decisions or optimised processes.
✨Data Storytelling Skills
This position requires strong communication skills, especially in data storytelling. Think about how you can present complex data insights in a clear and engaging way. Practise explaining your findings as if you're talking to someone without a technical background.
✨Collaborative Mindset
Collaboration is key in this role, so be prepared to discuss how you've worked with analysts and stakeholders in the past. Highlight any experiences where you contributed to measurement plans or worked on cross-functional projects to drive results.
