Senior Data Scientist, Petlab

• We move and think fast so it’s important that you are able to thrive in a fast-paced environment and are happy to roll up your sleeves to do whatever it takes to support the team in every way possible
• 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles
• Deep understanding of LTV modeling, forecasting, and experimental design
• Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels)
• Advanced SQL skills and experience working with large datasets in modern data environments
• Experience working with cross-functional growth or marketing teams
• Competent user of data visualisation tools
• Comfortable working in fast-paced, agile environments with changing priorities
• Excellent communication skills with the ability to explain complex topics to non-technical audiences
• Experience in e-commerce, subscription services, or other B2C /consumer-facing businesses

Desirable

• We’re looking for a Senior Data Scientist to join our Growth team and play a key role in maximizing both customer acquisition and retention across the business
• You’ll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting
• This is a high-visibility role where your work will directly influence business strategy, growth initiatives, and long-term customer value
• Our data warehouse is hosted in Big Query and we use Power BI as our visualisation tool
• Reports to: Director of Data
• Develop and maintain robust LTV (Lifetime Value) forecasting models, subscription and churn models to inform marketing spend and retention strategies
• Build demand forecasting models to ensure demand planning aligns with acquisition and retention trends
• Design, run, and analyse A/B tests and multivariate experiments across acquisition funnels, onboarding flows, and retention programs
• Collaborate with cross-functional teams to translate business goals into data-driven solutions
• Communicate insights clearly and effectively to technical and non-technical stakeholders
• Delve into large-scale datasets using SQL and perform advanced statistical techniques in Python
• Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact