Junior Data Scientist

Job description

About EDITED EDITED is the world’s leading AI-driven retail intelligence platform. We empower the world’s most successful brands and retailers with real-time decision making power. By connecting internal business and external market data, EDITED infuses intelligence into every retail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation. At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone's voice is heard and contributions are recognised. We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options—including hybrid working, flexible hours and a work from anywhere policy—empower our team to perform at their best. The Opportunity We're seeking a motivated and curious Junior Data Scientist to join our team. In this role, you'll work alongside experienced data scientists and engineers to deliver actionable insights and build data-driven solutions across EDITED. You'll learn key methodologies, contribute to impactful projects, and develop your technical and analytical skills in a supportive environment. What You'll Do As A Junior Data Scientist: Deliver Data Science Projects: Assist in designing, building, and maintaining data science models and pipelines to solve core business problems. Data Analysis & Exploration: Analyze complex datasets to extract meaningful insights, trends, and patterns supporting retail intelligence. Collaborate & Learn: Work closely with senior team members, receiving mentorship and feedback to continuously refine your technical skills. Cross-Functional Collaboration: Partner with product and engineering teams to integrate data products into production systems. Maintain Data Quality: Validate and clean data sources to ensure high reliability and consistency across models and reporting. Communicate Findings: Present project outcomes and analytical findings clearly to team members and key stakeholders. What You'll Bring: A strong STEM degree (includ…