Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Internship / school internship
- Location
- Ravensburg
- Working Model
- Onsite
Job Summary
In this training, you will develop data analysis methods, apply cloud computing and machine learning, and work on your own projects in data science and AI focusing on optimizing business processes.
Your role in the team
- The Data Science & AI program specifically prepares you for a future role in data analysis at MTU.
- With your future transfer location, which can be within the Group IT as well as in our technical departments, you will enhance MTU's performance using modern analytics tools.
- As an expert in handling massive data volumes, you are the point of contact for organizing, analyzing, visualizing data using various methods, and ultimately integrating the insights gained into business processes to derive actionable recommendations for the departments at MTU.
- Each of the 6 semesters is divided into a theoretical and a practical section in a three-month cycle.
- At the beginning of your studies, you will learn the fundamentals of computer science and business informatics, as well as the core content of Data Science.
- This includes, for example, Cloud Computing, Big Data, Machine Learning, and Project Management.
- To deepen their expertise, two elective options are offered from the fourth semester onwards to enable different specializations: Data Engineering and Data Analytics, Artificial Intelligence and Intelligence Engineering.
- Typical for the work of Data Scientists are collaborative processes within the scope of projects.
- Therefore, communication skills, teamwork, and leadership are important qualifications.
- These competencies are taught in numerous modules, often project-oriented.
- Data is today the most important resource for companies across all industries.
- Even as an engine manufacturer, our goal is to generate valuable insights and relevant knowledge from large amounts of data related to our core product and the underlying production processes.
- Data is the foundation for predicting trends, developing chatbots, digital autonomous assistants, as well as for other innovative products and services and the improvement of business processes, from development through testing to maintenance of our engines.
- You can largely shape your practical training at MTU yourself.
- The plan includes, for example, deployment in the MTU Center of AI, deployment in the corporate IT, e.g., with MTU-specific software solutions, and possible deployment at one of the MTU locations abroad.
- Furthermore, our dual students independently work on their own projects during practical assignments.
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Our expectations of you
Qualifications
- You should have a very good general higher education entrance qualification, a subject-specific higher education entrance qualification, or a university of applied sciences entrance qualification.
- Furthermore, we are looking for: enjoyment of mathematics and logic, willingness to solve problems as a team and to interact with many different clients and Auftraggeber, programming skills are an advantage but not a prerequisite, interest in new ideas and requirements, and joy in thinking outside the box, good English skills.
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What we offer
- Active support and consultation throughout the entire study period, with individual coordination of practical training placements.
- Own laptop.
- Extensive training program.
- Great deals on health and fitness.
- Attractive compensation as well as support for housing costs at the university location.
- Vacation and Christmas bonuses.
- 35-hour week with flexible working hours.
- Secure takeover upon satisfactory performance.
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Benefits
More net
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
MTU Aero Engines Holding AG
We, MTU Aero Engines, are Germany's leading engine manufacturer. We are experts in the development, manufacture and maintenance of commercial and military engines in all thrust and power categories and of stationary industrial gas turbines.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.5
Culture
3.7Engineering
3.3Workingconditions
4.0Career Growth
3.2
Dual study program in Data Science and Artificial Intelligence
- Location
- Ravensburg
- Working Model
- Onsite
- Diversity
- Open for all genders
