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Working Student Advanced Analytics and Artificial Intelligence(m/w/x)
Data extraction and machine learning model deployment using Snowflake and Azure for industrial digital transformations. Proficiency in Python, SQL, and cloud data platforms required. Hybrid work model with flexible hours for students.
Requirements
- Studies in business informatics, statistics, mathematics, physics, data science, engineering, or similar field
- Completion of four bachelor semesters or pursuit of master’s/Ph.D.
- Practical experience in analytics, data science, software development, or related areas
- Proficiency in Python, SQL, and cloud data platforms
- Familiarity with machine learning, model evaluation, deployment, and Git
- Willingness to learn and analytical thinking
- Ability to communicate complex technical concepts
- Excellent English skills (minimum C1 level)
- German language skills as an advantage
Tasks
- Support conceptual development of analytics and AI projects
- Execute advanced analytics and AI projects
- Extract, validate, and transform data
- Use cloud-native tools like Snowflake and Azure
- Ensure data quality and accessibility
- Develop and maintain cloud-based data pipelines
- Apply machine learning algorithms using Python
- Create interactive dashboards and reports
- Translate complex analytics into actionable insights
- Participate in workshops on AI/ML technologies
- Prepare training materials on emerging technologies
- Share knowledge and foster organizational learning
Education
Languages
Tools & Technologies
Benefits
Flexible Working
- •Hybrid work
Informal Culture
- •Inclusive workplace
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Working Student Advanced Analytics and Artificial Intelligence(m/w/x)
Data extraction and machine learning model deployment using Snowflake and Azure for industrial digital transformations. Proficiency in Python, SQL, and cloud data platforms required. Hybrid work model with flexible hours for students.
Requirements
- Studies in business informatics, statistics, mathematics, physics, data science, engineering, or similar field
- Completion of four bachelor semesters or pursuit of master’s/Ph.D.
- Practical experience in analytics, data science, software development, or related areas
- Proficiency in Python, SQL, and cloud data platforms
- Familiarity with machine learning, model evaluation, deployment, and Git
- Willingness to learn and analytical thinking
- Ability to communicate complex technical concepts
- Excellent English skills (minimum C1 level)
- German language skills as an advantage
Tasks
- Support conceptual development of analytics and AI projects
- Execute advanced analytics and AI projects
- Extract, validate, and transform data
- Use cloud-native tools like Snowflake and Azure
- Ensure data quality and accessibility
- Develop and maintain cloud-based data pipelines
- Apply machine learning algorithms using Python
- Create interactive dashboards and reports
- Translate complex analytics into actionable insights
- Participate in workshops on AI/ML technologies
- Prepare training materials on emerging technologies
- Share knowledge and foster organizational learning
Education
Languages
Tools & Technologies
Benefits
Flexible Working
- •Hybrid work
Informal Culture
- •Inclusive workplace
About the Company
Siemens AG
Industry
IT
Description
Das Unternehmen entwickelt Netzwerke, die Städte mit Licht und Wärme versorgen und ist in der Automatisierung und Digitalisierung der Prozess- und Fertigungsindustrie tätig.
- Siemens AG
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