Applied Data Scientist (Strategy & Analytics), Immersive Gamebox

• 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

• 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

• 1. Apply with CV & answer preliminary question on why you're suitable for role
• 2. Introductory video call with our Head of Analytics.
• 3. Conversation with our CEO or another senior team member
• 4. Case study exercise: you’ll receive a dataset and problem statement in advance, then present your findings in a follow-up interview.