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Data Science Working Student for Knowledge Mining (all genders)

Your role:


Our digital solution helps companies  to ‘Know What it Knows’ in Science and Technology. The solution consists of components like Knowledge Mining, Knowledge Graph and Strategic Insight Module. The development team combines Data Science, User experience, frontend applications and advanced backend capabilities. As part of the team you explore unstructured data using open source and commercial tools to solve problems like knowledge discovery, information extraction, topic detection from publications, patents, internal systems, news and blog posts.      

Who you are: 


  • Master degree of Science in Mathematics, Physics, Computer Science or a similar field 
  • Team player collaborating with Business, UX Designer, Frontend and Backend Developers (on site / offshore).
  • Experience in hands-on implementation of Text Mining / NLP solutions in Python e.g. scikit-learn, gensim, spacy and bert.
  • Beneficial is experience in recommendation based on Graph DB and UMLS Concepts
Job Requisition ID:  193675
Location:  Darmstadt
Career Level:  A - Current Student
Working time model:  full-time, part-time possible

US Disclosure
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 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday.

Job Segment: Database, Business Development, Computer Science, Physics, User Experience, Technology, Sales, Science

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