Data Scientist

We're a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things. You don't just analyze – you drive. You proactively identify gaps, inefficiencies, and opportunities for improvement, build the foundations to answer questions, and make sure stakeholders don't just receive dashboards, but know what to do with them.

What you'll do

• Translate complex product and business questions into structured analytical, statistical, and machine-learning approaches
• Develop predictive and diagnostic models and derive robust signals from customer, product, and behavioural data
• Own solutions end to end - from outcome definition, feature engineering, and validation to operationalization, monitoring, and continuous improvement
• Design analyses that identify meaningful drivers, test assumptions, and quantify uncertainty
• Create reusable analytical assets, including models, scores, features, and evaluation frameworks
• Partner with Product, Marketing, Commercial, and other teams to turn complex findings into clear decisions and actions

What you'll need

• 3+ years of experience in Data Science, Advanced Analytics, or a comparable role
• Strong SQL and Python skills, including experience with common data science and machine-learning libraries
• Solid knowledge of statistical and predictive modelling, feature engineering, and model evaluation
• Experience operationalizing analytical models for recurring business use
• A strong understanding of validation, data leakage, bias, uncertainty, and model limitations
• A pragmatic approach focused on the simplest reliable solution
• Strong stakeholder management skills and the ability to challenge assumptions and communicate what data can and cannot support