Senior Data Scientist 
Vauxhall, London

We are seeking a talented and experienced Data Scientist to join our team and drive improvements in delivery promise times, generate personalised recommendations, and implement custom segmentation strategies. As a Data Scientist in our organisation, you will play a pivotal role in leveraging data-driven insights to enhance our overall customer experience and operational efficiency.

Responsibilities:

• Combine historical purchasing trends with forward-looking signals to help the business procure just the right amount of products at the right time to the right locations
• Analyse historical delivery data to identify patterns, trends, and potential areas for improvement in delivery promise times
• Develop predictive models to accurately estimate delivery times based on various factors such as customer location, rider availability, and historical performance
• Continuously monitor and evaluate the performance of delivery promise models, making adjustments as necessary to optimise accuracy
• Design and implement recommendation engines for personalised product suggestions and content
• Collaborate with product teams to understand user behaviour, preferences, and feedback, incorporating these insights into Zapp’s recommendations
• Experiment with different recommendation algorithms, A/B testing methodologies, and optimization strategies to improve the relevance and effectiveness of recommendations
• Work closely with engineering teams to integrate recommendation models into our platforms and ensure seamless user experiences
• Develop and implement custom segmentation strategies based on user demographics, behaviour, and transaction history
• Collaborate with marketing teams to identify target segments for personalised campaigns and promotions
• Provide actionable insights and recommendations to stakeholders based on the analysis of segmented data

Preferred Skills:

• 3-5 years of experience in e-commerce, logistics, or a related industry
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)
• Knowledge of database systems and SQL
• Have built and maintained recommendation models in production