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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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Paid Internship in Global IT Team - Data & Forecasting (f/m)

Bosch Polska
Found 1 month ago
Location
Łódź, Poland
Duration (Months)
3 Months
Time
Part-time
Work Mode
Hybrid
Salary
Paid internship based on a civil-law contract
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Excel
  • PowerBI
  • machine learning
  • AI

Soft Skills

  • communication skills
  • organizational skills
  • proactive mindset
  • curiosity for data analytics
  • ability to work effectively in a collaborative team

Job Description

Join a global team supporting IT hardware supply chain across Bosch subsidiaries around the world. You will be part of a dynamic, international environment, gaining knowledge to real-world challenges in data analysis and demand planning. Your Responsibilities: * Assist in generating and maintaining statistical forecasts for various IT hardware products, analyzing their performance, and recommending improvements under supervision. * Help analyze the performance of forecasts and participate in root cause analysis to understand variances. * Collaborate with cross-functional teams, including Purchasing, Product Management, and Finance, to ensure alignment and support decision-making. * Contribute to the development and testing of new forecasting models, including those incorporating machine learning and AI functions. * Practice translating complex data into clear and actionable recommendations.

Requirements

  • Student status, preferably in a numerical field like Econometrics, Statistics, Data Science, Mathematics, Economics, Engineering, Supply Chain Management, or a related discipline.
  • Fluent/business-level English is mandatory (working 100% in English).
  • Ability to work a flexible part-time schedule (e.g., 20-30 hours per week).
  • Practical knowledge of Excel and PowerBI
  • Very good communication and organizational skills.
  • A proactive mindset, a curiosity for data analytics, and the ability to work effectively in a collaborative team.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
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