(Senior) Data Scientist (m/w)

Job Title: (Senior) Data Scientist (m/w)
Contract Type: Permanent
Location: Munich, Germany
Salary: To attract the best
Start Date: ASAP
Reference: BH4383
Contact Name: Tom Fernandez-Buckley
Contact Email: tomf@venquis.com
Job Published: September 23, 2017 15:55

Job Description

(Senior) Data Scientist (m/w)


For the Data Analytics department of a leading insurance company in Munich, we are currently looking for a (Senior) Data Scientist.


The role

  • Active participation in existing and new big data projects
  • Central provision of know-how, tools and techniques for data analysis
  • Use analytical methods to guide and counsel operational units
  • Conduct research on methods and technologies to highlight potentially competitive advantages
  • Develop analytical solutions that enable operational units to improve the quantity and quality of their businesses.
  • Networking with already existing data-intensive units in the area of analysis and reporting, and with IT to form an analytics community


Your profile

  • Degree in statistics, applied mathematics, computer science or related field
  • Sound knowledge of business intelligence tools and relevant statistical tools such as SAS and R
  • In-depth knowledge and multiple years experience in the application of analytical methods (statistical modelling, machine learning, text mining, cognitive computing, data visualisation, web crawling, or other relevant knowledge)
  • Deep understanding of data structures and data management
  • Ability to identify and process external data sources
  • Experience in insurance / reinsurance industry an advantage
  • High level of flexibility and an innovative mindset
  • Very good German and English language skills, and willingness to travel


For a confidential conversation about the next step in your career please send us your CV.



Key words: data science, data scientist, business intelligence, analytics, machine learning, statistical modelling, text mining, data mining, cognitive computing, data visualisation, web crawling, predictive analytics, statistics, SAS, R, insurance, Versicherung, Munich, München