At a Glance
- Tasks: Build ML models that drive real business decisions and analyse marketing effectiveness.
- Company: Join a global live entertainment business transforming its Data Science capabilities.
- Benefits: Competitive salary, hybrid working model, and a bonus structure.
- Other info: Collaborate with diverse teams and grow your career in a dynamic setting.
- 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
Interested? Please apply below.
Data Scientist - Global Entertainment, Marketing in Slough employer: Harnham
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 Central London. The hybrid working model allows for flexibility, ensuring a healthy work-life balance as you contribute to meaningful commercial decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Global Entertainment, Marketing in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 with real examples from your past work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist - Global Entertainment, Marketing in Slough
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 shine! Use it to explain why you're excited about this role and how your background in data science can contribute to our marketing effectiveness initiatives. Keep it engaging and personal.
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 practical examples of your work!
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. Don’t miss out!
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 of specific examples where your work has had a 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 your testing led to significant insights or decisions.
✨Data Storytelling Skills
This position requires strong communication skills, especially in data storytelling. Practice explaining complex data insights in a simple way, as you'll need to collaborate with analysts and stakeholders who may not have a technical background.
✨Familiarise with Marketing Effectiveness
Even if you don't have direct experience with marketing mix modelling (MMM), show your enthusiasm for learning. Research the basics of MMM and be prepared to discuss how your analytical skills can contribute to marketing effectiveness initiatives.
