Data Scientist

Data Scientist

Job Title: Data Scientist
Contract Type: Permanent
Location: Munich, Bayern
Salary: €51 - €70000 per annum
Reference: LHMUC_1562760377
Contact Name: Jamie Haerewa
Contact Email:
Job Published: July 10, 2019 13:06

Job Description

Data Scientist (m/w/d)

Join one of the biggest internet companies, Insurance Team, based in Munich as the expert Data Scientist to drive innovation in the insurance sector using data-driven models.

What they Offer -

  • Stability of an established online company - permanent position
  • Steep Career Opportunities through Continuous Growth
  • Individual development and training opportunities thanks to a broad training catalog
  • Vouchers for numerous products and a subsidized occupational pension scheme
  • Extras, such as drinks and fruit
  • Central location with excellent transport links
  • Celebrate successes together at numerous events

Your Tasks -

  • Independent identification of new business opportunities and optimization potential
  • Development of models for productive use as well as monitoring and updating of these models
  • Execution of analyzes (explorative / prescriptive) of structured and unstructured datasets
  • Communication of quantitative findings as well as instructions for executives and decision makers
  • Close cooperation with the management as well as the areas product management and IT

What You Bring -

  • Completed degree in a quantitative area such as physics, (economic) computer science, mathematics, statistics or related fields, preferably with a master's degree or a successful doctoral thesis
  • Practical experience as Data Scientist or Machine Learning Expert, ideally in the area of ​​Word Processing / Natural Language Processing (NLP)
  • Profound knowledge of the programming language Python, further knowledge of relevant libraries of advantage, eg Scikit-Learn, Pandas, SpaCy, NLTK
  • Experience in dealing with relational databases and SQL
  • Passion and experience in solving analytical problems with the help of quantitative methods and algorithms
  • Strong ability to communicate complex relationships and insights in a clear, concise and usable way
  • Enthusiasm for data usage for answering business questions

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