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Salary
$44k per year (gross)
Location
In office (Bratislava)

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 26, 2026. IBM scores A on the Alion truth index.

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IBM

IBM is an American technology company whose roots go back to the 1911 formation of the Computing-Tabulating-Recording Company, and which has been headquartered in Armonk, New York for decades. It defined mainframe computing, the personal computer standard and much of enterprise data processing, and today concentrates on hybrid cloud built around Red Hat, enterprise AI through the watsonx platform, consulting services and the mainframe and storage systems that still run the world's largest transaction workloads. The company also runs one of the leading quantum computing programmes and consistently ranks among the largest recipients of United States patents.

At IBM Finance & Operations, we are the backbone of IBM's transformation driving efficiency, transparency, and smart decision-making across the business. Our teams provide the insight and discipline that guide strategy, ensure financial strength, and enable IBM to invest in innovation and growth. Working in Finance & Operations means combining analytical skills with collaboration and curiosity. You'll partner with colleagues across functions and geographies, using data, technology, and process excellence to create solutions that improve performance and deliver measurable impact. IBM offers continuous learning, career development, and a culture that values diverse perspectives. Join us and be part of a global team that keeps IBM moving forward, while building your own future in a dynamic and evolving environment. As a Finance Data Science Trainee at IBM, you will become part of a team that combines finance, data, and technology to drive smarter business decisions. From day one, you will take on your own responsibilities and work on tasks that contribute directly to the team's success and business outcomes. This traineeship offers a unique opportunity to gain hands-on experience in financial data analysis, reporting, and business intelligence. You will work with financial and operational data, support data-driven decision-making, and help identify insights that improve business performance. Along the way, you will develop both your analytical and technical skills while gaining exposure to how a global organization operates. We believe in hiring for potential, so no previous work experience is required. Throughout the program, you will receive continuous training, learning opportunities, and career development support to help you grow professionally. You will build expertise at the intersection of finance and data science, learning how to transform data into actionable insights that create measurable business value. Program details: * Contract duration: 12 months * Working hours: Part-time, 24 hours/week * Start date: November 2026 * Monthly salary: 750 EUR (gross) * Number of positions is limited Candidates with the right to work within the EU will be given preference. Apply today and start building your career with IBM. Full-time university student in Finance, Data Science, Business Analytics, Economics, or a related field Understanding of core finance and accounting concepts and processes Strong analytical and technical skills, including Excel and exposure to data analysis tools (eg. SQL, Python, Power BI, etc.) Active intermediate level of Business English Proactive, curious, and eager to combine finance knowledge with data-driven decision-making

  • Financial Modeling Tools: Exposure to financial modeling tools and techniques to support data analysis and forecasting.
  • Data Visualization: Interest in data visualization methods to effectively communicate insights and findings.
  • Business Intelligence Software: Curiosity about business intelligence software to analyze and report financial data. Slovakia Enterprise Operations Hybrid Internship BRATISLAVA, SK BRATISLAVA (0771) IBM International Services Centre s.r.o. Business Analytics Business English Business Intelligence Data Analysis Data Science Data Visualization Economics Finance Financial Modeling Forecasting Microsoft Power BI Python Structured Query Language Software Accounting Data-Driven Decision-Making Curiosity Technical Proficiency Data Analysis Tools
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