Director of Data Science

Director of Data Science 
Vauxhall, London - Onsite (5 days)

As the Director of Data Science, you will shape Zapp's data strategy, driving actionable insights from our vast and diverse datasets. 

You will build and lead a team of talented data scientists, working closely with cross-functional teams to develop and implement data-driven solutions that contribute to the company's overall success.

About Us

Zapp is London’s leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi-trillion dollar convenience retail market, currently dominated by major players, by developing best-in-class customer-centric technology and fulfilment solutions. Zapp partners with some of the world’s leading brands to deliver an exclusive range of hand-picked products 24/7, delivered in minutes.

Responsibilities:

Leadership and Strategy:

• Collaborate with executive leadership to integrate data science into the broader business strategy. 

Team Management:

• Recruit, mentor, and develop a high-performing team of data scientists.
• Manage team resources, budgets, and project timelines effectively.

Technical Expertise:

• Provide technical guidance and oversight on complex data science projects.
• Ensure the team utilises best practices and cutting-edge technologies in their work.

Data Governance and Compliance:

• Establish and maintain robust data governance practices to ensure data quality, accuracy, and compliance with regulatory standards.
• Collaborate with legal and compliance teams to address data privacy and security concerns.

Collaboration and Communication: 

• Work closely with cross-functional teams, including IT, engineering, and business stakeholders, to identify opportunities for leveraging data to drive business outcomes.
• Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner.

Key Initiatives:

Supply Chain Optimization:

• 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.

Delivery Promise Time Optimization:

• 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.

Recommendation Engine Development:

• 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

Customer Segmentation:

• 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:

• 5+ years of hands-on experience and 3+ years in a leadership role within data science in e-commerce, logistics, or a related industry
• Demonstrated success in building and leading high-performing data science teams.
• Strong proficiency in machine learning, statistical analysis, and data visualization.
• Expertise in programming languages such as Python or R.
• Excellent communication and stakeholder management skills.