Data Scientist
AI Summary
A Data Scientist at Zapp develops and deploys machine learning models to support the company's premium convenience retail platform, working with cloud data tools and cross-functional teams to deliver AI-driven insights and features.
About this role
Data Scientist
Nine Elms, London - Full-time
As part of our vision, we are seeking a talented Data Scientist to join our dynamic, expanding team. Over the last few years we’ve built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way.
About Zapp:
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.
Key Responsibilities:
Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/ML
End-to-End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate.
Reporting/Dashboarding
Collaboration: Work closely with cross-functional teams to define, design, and implement new features, driving both business and technical excellence.
Code Quality: Write scalable, maintainable, and high-quality code while adhering to best practices for testing, deployment, and version control.
Essential skills:
Minimum of 1-2 years of professional experience as a Data Scientist in a commercial setting.
Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field.
Expertise in Python and developing high-quality, scalable code Hands-on experience with cloud platforms like GCP, AWS, or Azure
Solid understanding of SQL
Familiarity with version control (Git) and automated deployment pipelines (CI/CD).
Desirable skills:
Past work in retail demand forecasting
Experience working in a startup environment
Experience with GCP/Vertex AIent
Benefits:
Competitive salary & equity package.
Zapp Credit for testing the Zapp service and experience
Enjoy 25 days of holiday per year (plus all bank holidays).
Private Health Insurance.
Extended sick pay and maternity/paternity leave pay.
Cycle to work scheme.
Flexible/hybrid working arrangement
Skills
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