Internship in Data Science at Bosch Group

Ludwigsburg, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, Python Programming, Git, Vibration Monitoring, Turbomachinery, Feature Engineering, Model Evaluation, Data Visualization, Predictive Maintenance, Digital Twin, Hybrid Algorithms, Cross-Functional Teamwork, Time Series Analysis, Correlation Matrices, Exploratory Techniques

Industry

Software Development

Description

Company Description 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. Join in and feel the difference. The Robert Bosch Business Innovations GmbH is looking forward to your application! Job Description During your assignment you will delve deeply into the workings of industrial machines, analyzing failure modes and performance characteristics to develop a comprehensive understanding of their behavior. Your area of responsibility includes cleaning, processing, and constructing meaningful features from multivariate sensor data sets to create an excellent basis for advanced modeling and analysis. Take an active role in visualizing and analyzing complex data sets using time series charts, correlation matrices, and other exploratory techniques to uncover hidden relationships and interactions between key features. Furthermore you will develop hybrid algorithms that combine domain expertise with state-of-the-art analytics, AI, and machine learning methods to generate actionable insights for predictive maintenance and system optimization from digital twin data. From the first day you will accurately evaluate and validate models using labeled data sets and define performance baselines using relevant metrics such as accuracy, precision, and recall. You work on creating scalable templates and integrating them into our digital twin platform to optimize deployment and ensure repeatability across different plants and customers. Last but not least you will document methods, results, and technical workflows in a clear and structured manner to ensure knowledge transfer and the reproducibility of your solutions. Qualifications Education: studies in mechanical engineering, computational engineering, computer science, physics or comparable Experience and Knowledge: strong skills in data analytics frameworks, machine learning algorithms (classification, regression, etc.), Git, and proficiency in Python programming is mandatory; experience in vibration monitoring (time and frequency domain analysis) or turbomachinery is preferred Personality and Working Practice: you are a self-motivated, proactive and responsible person, with the ability to work effectively in cross-functional teams Languages: business fluent in English Additional Information Start: according to prior agreement Duration: 6 months Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit. 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. Need further information about the job? Maitraiyee Tiwari (Functional Department) +49 711 811 58078 Patrick Schlachter (Functional Department) +49 1520 6343334 Work #LikeABosch starts here: Apply now!

Responsibilities

The intern will analyze industrial machines, focusing on failure modes and performance characteristics. Responsibilities include cleaning and processing sensor data, developing algorithms for predictive maintenance, and documenting workflows.