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- Tasks: Transform data into insights that drive growth in pricing, marketing, and content.
- Company: Join Immersive Gamebox, a fast-growing entertainment company revolutionising multiplayer gaming.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact in the immersive entertainment industry with cutting-edge technology.
- Qualifications: Experience in data analysis, Python, and a knack for strategic decision-making.
- Other info: Be part of a start-up culture where your ideas can shape the future.
The predicted salary is between 28000 - 42000 £ per year.
Applied Data Scientist (Strategy & Analytics)
Direct message the job poster from Immersive Gamebox
Overview
Immersive Gamebox (IGB) is a fast-growing entertainment company bringing multiplayer gaming experiences to global audiences. With 30+ venues across the UK, US, and beyond, we partner with leading studios like Netflix, Sony, WB, and Paramount to create world-class interactive content using cutting-edge technology.
Role Description
This is a full-time role for an Applied Data Scientist (Strategy & Analytics), based in London. You will be at the heart of IGB’s decision-making, turning data into clear insights and strategies that drive growth across pricing, marketing, content, and venue expansion.
As an Applied Data Scientist your primary job will be using data to answer crucial questions such as:
- What is the price elasticity of our customers?
- How can we optimise a seven-figure paid media budget?
- Which markets should we enter next, and how can we map them using spatial analysis?
- Which marketing initiatives are driving genuine incremental impact?
- What is the causal lift of new game launches on revenue, and which games should we pick next?
- How should we forecast revenue and model new initiatives to guide planning?
- What dashboards will sharpen KPIs and support investor and board decisions?
But this is a start-up: priorities shift, opportunities emerge, and you’ll need the initiative to ask your own questions and pursue the analyses you believe will move the needle.
Who you are
- We’re building the future of immersive entertainment and need an applied data scientist who thrives on turning data into strategic decisions that drive growth.
- A personable, concise communicator who goes beyond presenting results – able to think critically about insights, translate them into recommendations, and judge when deep analysis is needed versus structured, decisive thinking.
- Confident in testing bold ideas, taking calculated risks, and being accountable for outcomes – with decisions that have an immediate and visible impact on revenue.
- Python literate (pandas, statsmodels/scikit-learn), comfortable with APIs, and motivated to own problems end-to-end while measuring real business impact.
Desirable: Prior use of SQL would be a bonus.
Salary: £35-£50k depending on level of experience
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- Entertainment Providers
London, England, United Kingdom
London, England, United Kingdom
#J-18808-Ljbffr
Applied Data Scientist (Strategy & Analytics) employer: Immersive Gamebox
Contact Detail:
Immersive Gamebox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist (Strategy & Analytics)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Immersive Gamebox. A friendly message on LinkedIn can go a long way. Just be genuine and express your interest in their work!
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Be ready to discuss how you would tackle real-world problems they face, like optimising budgets or forecasting revenue. Show them you can think critically and strategically!
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on their website and apply directly through it. This shows initiative and gives you a better chance of being noticed by the hiring team.
✨Tip Number 4
Follow up after your interview! A quick thank-you note can keep you fresh in their minds. Mention something specific from your conversation to show you were engaged and are genuinely interested in the role.
We think you need these skills to ace Applied Data Scientist (Strategy & Analytics)
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with Python, especially with libraries like pandas and scikit-learn. We want to see how you've used data to drive decisions in the past, so don’t hold back on those examples!
Be Personable and Concise: When writing your application, keep it friendly yet professional. We love a good communicator, so make sure you can explain complex insights in a way that’s easy to understand. Think about how you’d chat with us over coffee!
Tailor Your Application: Don’t just send a generic application! Take the time to align your skills and experiences with what we’re looking for in the job description. Show us why you’re the perfect fit for our team at Immersive Gamebox.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get to know you better. Plus, it shows you’re serious about joining our exciting journey!
How to prepare for a job interview at Immersive Gamebox
✨Know Your Data Tools
Make sure you're well-versed in Python, especially with libraries like pandas and scikit-learn. Brush up on your SQL skills too, as it could give you an edge. Be ready to discuss how you've used these tools in past projects to derive insights.
✨Understand the Business Context
Familiarise yourself with Immersive Gamebox's business model and the entertainment industry landscape. Think about how data can drive decisions in pricing, marketing, and content strategy. Prepare examples of how data analysis has influenced business outcomes in your previous roles.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems, like optimising a media budget or forecasting revenue. Practice articulating your thought process clearly and concisely, showing how you would approach these challenges using data.
✨Show Your Initiative
Demonstrate your ability to ask insightful questions and pursue analyses that matter. Share instances where you've taken the lead on a project or identified opportunities for improvement. This will show that you're proactive and ready to make an impact from day one.