Data Scientist
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Zapp is hiring a Data Scientist. Zapp seeks a talented Data Scientist to join its dynamic, expanding team in Nine Elms, London, building on a solid data foundation with technologies like dbt, BigQuery and Airflow to develop sophisticated AI/ML solutions for its premium convenience retail platform.
Key focus areas include Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/ML, Own the lifecycle of new models from concept to deployment and monitoring, continuously iterating, and Reporting/Dashboarding.
Successful candidates bring 1-2 Years Professional Data Scientist Experience, Bachelor's In Computer Science, and Bachelor's In Software Engineering. Important skills include Python, GCP, AWS, Azure, SQL, and Git. Preferred (not required): Stakeholder Management, End-to-End Development And Ownership, Reporting/Dashboarding, and Collaboration.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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:
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Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/ML
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End-to-End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate.
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Reporting/Dashboarding
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Collaboration: Work closely with cross-functional teams to define, design, and implement new features, driving both business and technical excellence.
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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 1-2 years of professional experience as a Data Scientist in a commercial setting.
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Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field.
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Expertise in Python and developing high-quality, scalable code Hands-on experience with cloud platforms like GCP, AWS, or Azure
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Solid understanding of SQL
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Familiarity with version control (Git) and automated deployment pipelines (CI/CD).
Desirable skills:
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Past work in retail demand forecasting
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Experience working in a startup environment
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Experience with GCP/Vertex AIent
Benefits:
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Competitive salary & equity package.
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Enjoy 25 days of holiday per year (plus all bank holidays).
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Private Health Insurance.
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Extended sick pay and maternity/paternity leave pay.
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Cycle to work scheme.
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Flexible/hybrid working arrangement
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