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Intern (m/f): Data Science in Software Development Job

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Date: Nov 18, 2017

Location: Walldorf/St. Leon-Rot, BW, DE

Company: SAP

Requisition ID: 159392 
Work Area: Software-Design and Development 
Location: Walldorf/St. Leon-Rot
Expected Travel: 0% 
Career Status: Student 
Employment Type: Limited Full Time 


SAP’s vision is to help the world run better and improve people’s lives.

As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.

At SAP, we believe in the power of collaboration and empower our employees to perform at their best in an environment that encourages free and open expression of ideas. You’ll work alongside creative thinkers who share your interests, while turning big ideas into reality for our customers. With innovative job training, mentors to help you grow, and the flexibility to balance your work and personal life, you’ll be able to get more out of your career. It’s no wonder that some of the sharpest minds from around the world are working for a company that is consistently recognized as a global top employer.

Now it’s your turn to take the next step and help make the world Run Simple.


The internet of things (IoT) has become a strategic development area for SAP. Within this area, our team develops and runs SAP Vehicle Insights, a cloud-based solution focusing on moving things like cars, trucks, trailers, forklifts and much more. For our customers, we provide services in the cloud that can be assembled into tailored solutions which address new business models and can be integrated into their existing IT infrastructure.


For our team, we need analytic talents that will be involved in customer projects. The aim is to turn collected telemetry data into valuable insights. You will work with our data scientists to analyze real data.



You can be involved in the complete process of a data science project. A project can comprise tasks like:

  • Understanding the business question and the available data
  • Data preparation and cleansing
  • Statistical modelling
  • Evaluation



Required skills:

  • Student (f/m) at a university or a university of applied sciences
  • Experience working with a statistical programming environment (e.g. scikit-learn, R, Matlab, Tensorflow or similar)
  • Practical experience with Data Mining, Machine Learning, Statistical Modelling, Artificial Intelligence or related fields
  • Self-reliance, persistence and ability to work in a dynamic environment
  • Fluent in English or German – verbal and written


Preferred skills:

  • Knowledge of at least one high level programming language
  • SQL and working with relational databases
  • Initial experience in a software development project
  • Initial experience with a big data technology (e.g. Apache Spark)
  • Fluent in German, especially verbal


Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please describe as well your experience and skills in foreign languages and computer programs / programming languages.


#Internship #Praktikum #Germany #Deutschland #Student


To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical, sensory and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please contact us at Requests for reasonable accommodation will be considered on a case-by-case basis.

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