At a Glance
- 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.
- Other info: Be part of a start-up culture where your ideas can shape the future.
- 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.
The predicted salary is between 28000 - 42000 £ per year.
Direct message the job poster from Immersive Gamebox
OverviewImmersive 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 DescriptionThis 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
- Full-time
- Engineering and Information Technology
- Entertainment Providers
London, England, United Kingdom
London, England, United Kingdom
#J-18808-LjbffrApplied Data Scientist (Strategy & Analytics) in London employer: Immersive Gamebox
Immersive Gamebox is an exceptional employer, offering a dynamic work environment where creativity and innovation thrive. As part of a fast-growing entertainment company in London, employees benefit from a collaborative culture that encourages personal growth and the opportunity to work with leading studios on cutting-edge projects. With a focus on data-driven decision-making, this role not only allows for impactful contributions but also provides a platform for professional development in the exciting world of immersive gaming.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Data Scientist (Strategy & Analytics) in London
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We think you need these skills to ace Applied Data Scientist (Strategy & Analytics) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Immersive Gamebox, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Immersive Gamebox. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Immersive Gamebox
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Immersive Gamebox!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
