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EDITED

Real-time retail analytics SaaS for brands

Junior Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • A strong STEM degree, including Data Science, Computer Science, Mathematics, or Statistics, or equivalent experience.
  • A solid understanding of foundational data-science concepts and statistical methods.
  • Proficiency with Python and standard data-science libraries such as Pandas, NumPy, and Scikit-learn.
  • At least 1 year of experience, or a strong academic or project background, in data analysis or machine learning.
  • Good working knowledge of Python.
  • An understanding of core machine-learning concepts and statistical analyses.
  • Clear written and verbal communication skills.

Responsibilities

  • Assist in designing, building, and maintaining data-science models and pipelines to solve core business problems.
  • Analyze complex datasets to extract meaningful insights, trends, and patterns supporting retail intelligence.
  • Work closely with senior team members and use their mentorship and feedback to refine technical skills.
  • Partner with product and engineering teams to integrate data products into production systems.
  • Validate and clean data sources to ensure reliability and consistency across models and reporting.
  • Present project outcomes and analytical findings clearly to team members and key stakeholders.

Desired Qualifications

  • None stated as a distinct preferred qualification.

About the Company

EDITED

Real-time retail analytics SaaS for brands

EDITED provides a SaaS-based retail intelligence platform that delivers real-time analytics on product, pricing, assortment, and promotions for brands and retailers. The platform uses AI and web crawlers to collect data on over 3.7 billion SKUs, offering insights on market trends, competitive benchmarking, assortment planning, and price optimization. In 2021, EDITED acquired DynamicAction to connect over 150 internal and external data systems, allowing clients to combine external market data with internal data for a holistic view across e-commerce and physical stores. The business operates on a subscription model with tiered access and serves more than 200 brands and retailers globally, including Zara, Puma, and John Lewis. EDITED’s goal is to help customers make data-driven merchandising and pricing decisions in real time, improving forecasting and performance across channels.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$50M
Headquarters
London, United Kingdom
Founded
2009

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