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Data Science Intern

Állás részletei

  • Cég neve

    TESCO-BST

  • Munkavégzés helye

    1138 Budapest, Váci út 187.
  • Elvárások

    • Angol középfok
    • 1-3 év tapasztalat
    • Egyetem
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Állás leírása

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We established our service centre supporting Tesco's operation in the Central European region back in 2019. Our colleagues provide service for Hungary, Czech Republic and Slovakia in several fields: finance, people and payroll services, colleague and customer engagement, customer and product, enterprise analytics. Besides these, we have a modern Technology Hub developing software and applications used by millions of people - customers and colleagues - globally. Our young and dynamic teams are driving and accelerating changes on a global scale, so it is important for us to find colleagues that are open to learn and develop themselves. At Tesco Business Solutions & Technology we support our business in operating efficiently and serving shoppers a little better every day.

  • Support the Enterprise Analytics team in developing advanced AI and analytics solutions.
  • Analyze existing processes and propose automation strategies to improve efficiency.
  • Contribute to codebase development with a fresh, innovative perspective.
  • Assist in building scalable and automated workflows for data-driven insights.
  • Collaborate with senior analysts and data scientists on customer & insights projects.
  • University student preferably in Computer Science, Data Science, Mathematics, or related fields
  • Strong technical foundation in data analytics, programming, and automation.
  • Completed or pursuing courses in AI, machine learning, and advanced mathematics.
  • Ability to think critically and bring innovative solutions to complex problems.
  • Familiarity with Python, SQL, or similar programming languages is a plus.
  • Able to work at least 20 hours/week.

 

#LI-KT1

#LI-Hybrid

  • Hands-on experience in enterprise-level analytics and AI projects.
  • Opportunity to work on real-world automation and data challenges.
  • Mentorship from experienced decision scientists and analytics professionals.
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