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At apetito, we are on a mission to make data a core driver of our strategy. As a Senior Data Scientist, you will play a pivotal role in uncovering insights through advanced analytics that helps shape our UK business strategy. You will also be responsible for developing data capabilities with machine learning and AI that delivering measurable business impact. Reporting to the Senior Manager, Data Science and AI, you'll do more than crunch numbers. Your work will influence critical decisions across marketing, operations, category management, and logistics—with real, measurable impact. Your role goes beyond the technical. You will craft compelling data stories that cut through complexity and guide strategic decisions at board level. If you are looking for a dynamic, data-driven environment where your talent and skills can directly impact business decisions and drive growth, this is an exciting opportunity for you. At apetito, we believe in collaboration and open communication, and you will be part of the fantastic, closely knit Data and Analytics team that values your contribution to shaping our strategy. This role requires a minimum of 2 days per week in our Trowbridge office, so you must live within reasonable commuting distance or be willing to relocate.
Job Responsibility:
Develop models for customer lifetime value (CLV), churn prediction, demand forecasting, and customer acquisition cost optimization
Build and maintain Marketing Mix Modelling models to optimize marketing budget allocation across channels (digital, TV, direct mail, etc.). Develop attribution models (first-click, last-click, multi-touch) and deliver quarterly acquisition forecasts
Analyse customer consumption patterns, market trends, and geographic distribution to identify growth opportunities and inform market penetration strategies
Design and analyse A/B tests and experiments to measure marketing campaign effectiveness and product optimization initiatives
Extract insights from diverse datasets including transactional data and third-party consumer data
Evaluate product portfolio performance and recommend category optimization strategies based on data-driven insights
Partner with stakeholders across marketing, operations, category management, and logistics to solve complex business problems using statistical modelling and machine learning
Translate complex analytical findings into compelling business narratives for non-technical audiences
Requirements:
3+ years of data science or advanced analytics experience in consumer business, e-commerce, marketing analytics, or consulting
Degree in a quantitative field: Data Science, Statistics, Mathematics, Computer Science, Physics, Engineering, Economics, or related STEM discipline
Strong programming skills in Python or R
Proficiency in SQL for complex data extraction and transformation
Hands-on experience with predictive modelling techniques: regression, classification, clustering, time series forecasting
Excellent communication and storytelling skills: Ability to distil complex analyses into clear, actionable insights for business stakeholders
What we offer:
Competitive salary – accredited Living Wage employer
25 days holiday per year, plus bank holidays
Option to purchase up to 5 additional days holiday per year
Discretionary annual bonus scheme
Pension scheme - employer matched contributions up to 4%
Life assurance scheme worth at least 1x annual salary
Subsidised canteen
Free parking
Free turkey or voucher at Christmas
apetito perks scheme including salary sacrifice options and retail discounts