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September 18, 2026

Group Data Scientist

Mid • Hybrid

Prague, Czechia

Quick Facts

  • Role: Group Data Scientist

Description

Design, develop, and deploy data-driven features that enhance the customer omnichannel journey, improve personalization, and optimize the digital and retail experience. Build AI-first solutions using coding agents and LLMs in the development workflow, and apply LLMs directly inside analytical products for automated insights, product/content tagging, and recommendation/personalization logic. Visualize results for stakeholders and work with Azure, Databricks, PySpark, and the latest AI tooling while keeping humans in the loop and ensuring data governance.

Responsibilities

  • Design, develop, and deploy data-driven features for omnichannel personalization and digital/retail optimization
  • Use coding agents and LLMs to prototype faster and shorten the path from idea to production
  • Implement LLM capabilities inside analytical products (automated insights, tagging, recommendations/personalization)
  • Visualize findings clearly for stakeholders at all levels
  • Work on an Azure/Databricks/PySpark stack with current AI tooling
  • Validate model/agent output with humans in the loop and uphold data governance
  • Deliver tangible impact on the shopping experience of millions of customers

Requirements

  • Previous relevant experience in a similar Data Scientist role is preferred
  • Familiarity with technologies such as Azure, Databricks, PySpark, SQL, and Power BI
  • Ability to work independently and keep timelines
  • Ability to manage complexity with attention to detail
  • Fluent Czech/Slovak and advanced English

Benefits

  • Professional growth in a growing organization
  • Global-level role with group-wide impact within group headquarters
  • Flexible working hours and possibility of 1 day/week home office
  • 5 weeks of holidays
  • Discount in Dr. Max pharmacies; meal allowance
  • Multisport card fully covered by employer
  • Public transport contribution; sabbatical leave; pension insurance contribution
  • Referral bonus
  • Attractive financial compensation (salary and yearly bonus)

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