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Data Scientist at Zapp

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

0.0

Posted On

05 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Stakeholder Management, End-to-End Development, Model Deployment, Python, Cloud Platforms, SQL, Version Control, Automated Deployment, GCP, AWS, Azure, Retail Demand Forecasting, Start-Up Environment

Industry

Retail

Description

Data Scientist Nine Elms, London - Full-time (4 days a week on-site) 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. 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: Experience with GCP/Vertex AI Past work in retail demand forecasting Experience working in a start-up environment Benefits: 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).

Responsibilities

The Data Scientist will help business leaders understand and prioritize AI/ML opportunities while owning the lifecycle of new models from concept to deployment. They will also collaborate with cross-functional teams to implement new features and ensure code quality.