Senior Data Scientist

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.

As part of our vision, we are seeking a talented Senior 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.

As the first data science IC at Zapp, you’ll be expected to be a bit of a jack of all trades. We have a number of well defined problem areas (demand forecasting, personalisation, pricing…) and a mature toolset, but limited support on the infrastructure side. To be successful in this role, you’ll need to be eager to get your hands dirty when it comes to MLOps and handle a number of responsibilities traditionally associated with MLEs.

You'll have the opportunity to work collaboratively with engineering and product to design, build, deploy and monitor the critical decision-making software and features that will help take Zapp to the next level.

This is a fantastic opportunity to get involved early, take ownership over key drivers of value and help grow a world class data function at Zapp.

Core responsibilities:

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• 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.
  
• 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:

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• Minimum of 3 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 testing best practices and writing testable code
  
• Familiarity with version control (Git) and automated deployment pipelines (CI/CD).
  

Desirable skills:

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• Experience with GCP/Vertex AI
  
• Past work in retail demand forecasting
  
• Experience working in a startup environment
  

Benefits:

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• Competitive salary & equity package.
  
• Enjoy 25 days of holiday per year (plus all bank holidays).
  
• Private Health Insurance.
  
• Extended sick pay and maternity/paternity leave pay.
  
• Perkbox.
  
• Cycle to work scheme.
  
• Flexible/hybrid working arrangement (60:40 between office/home).