As a Working Student IT (m/f/all genders) you are working in an international and agile environment of the Advanced Analytics team. The team works on the operationalization of technologies in the Big Data space. The main topics are text analytics, advanced analytics as well as information and data discovery. The latter topic gives you the opportunity to work on or extend your knowledge in areas such as machine learning, graph databases and semantic technologies.We offer an international, diverse and modern work environment. You will be fully integrated in our team and work on interesting and challenging tasks.
Who you are
* current studies in informatics or engineering informatics, or similar
* fast learner
* work independently, solve problems creatively and think out of the box
* good verbal and written English skills
Job Requisition ID: 2xxxx7
Career Level: A - Current Student
Working time model: full-time, part-time possible
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.
North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our HR Services team at 8xx xxx xxx8 from 8:00am to 5:30pm ET Monday through Friday