data-science

Bosch Group

<div><section><div><p></p><h2>Company Description</h2></div><div><p><strong>At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. </strong><strong>Join in and feel the difference.</strong></p><p>The Robert Bosch GmbH<em> </em>is looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>Let your Master thesis have a real impact at one of the best locations of an international technology company.</p><ul><li>During your thesis you will support us with the analysis of a database of purchasing data in the years 2016-2023 for the Bosch plant Blaichach.</li><li>Moreover, you will investigate categorization along useful dimensions, e.g. influenceability as well as pattern recognition of purchasing behavior with algorithmic methods.</li><li>Giving recommendations for derivation of short-term effective cash saving measures and long-term effective spending rules will also be part of your area of responsibilities.</li><li>Last but not least you will be involved in the sensible integration into the group-wide reporting logic for cashflow measures.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education:</strong> studies in the field of Business, Economics, Data Science, Business/Engineering, Business/IT or comparable</li><li><strong>Experience and Knowledge:</strong> proficient handling of MS Office applications (especially Excel) as well as first experiences in SAP desirable</li><li><strong>Personality and Working Practice:</strong> motivated, structured, analytical, autonomous, eager to learn, team-minded, reliable, communicative and proactive</li><li><strong>Languages: </strong>fluent English</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p><strong>Start:</strong> according to prior agreement<br> <strong>Duration:</strong> 3 - 6 months</p><p>Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.</p><p>Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.</p><p><strong>Need further information about the job?</strong><br> Miriam Roth (Business Department)<br> +49 8323 20 4021<br> Daniel Bolg (Business Department)<br> +49 8323 20 1981</p><p><br> #LI-DNI</p></div></section></div>

Master Thesis Data Analysis and Measure Generation in the Context of a Cashflow-Optimization Program

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