Spezialist (m/w/d) Data Science

  • LVM Versicherung
  • Münster, Germany
  • 08/04/2022
Full time Data Science Business Intelligence Statistics DevOps

Job Description

Full job description

Growing together: careers with LVM
LVM Versicherung is a mutual insurance association and is one of the TOP 20 in the insurance industry. Over 3.6 million customers with over 12.3 million contracts trust LVM Versicherung. With more than 3.7 billion euros in premium income and capital investments of over 20.2 billion euros, we are one of the 20 leading insurance groups in Germany.
We are looking for employees who want to further develop themselves and their team. Because at LVM we don't just want to work together, we want to continue to grow together. That's why we are looking for you as a
data science specialist (m/f/d) in
your area of ​​responsibility
: selection and adaptation of algorithms to solve business problems
Addressee-oriented processing and modeling of large amounts of data from a variety of data sources
Application of the modern data mining architecture based on SAS and Python
Further development of the existing modeling standards and reporting to support internal and external sales
Creation and processing of analyzes such as cross-selling and cancellation forecasts, customer segmentation and Geomarketing
Visualization of data and analysis results
Responsible control of in-house projects from the analysis phase to implementation and maintenance of the analysis and forecasting process
Administrative activities
Your requirements
Studies in business informatics, computer science or business administration
Programming experience (including SAS, Java, Python)
Experience with modern analysis methods, multivariate processes, data mining and AI approaches
Distinct independence and solution orientation
High degree of commitment and team spirit
What do we offer you?
With us you will find an open corporate culture and an excellent working atmosphere. Working from home is just as natural to us as family-friendly and flexible working hours. We also support continuous learning, for example by participating in internal and external seminars. A performance-based salary and extensive social benefits are just as much part of the offer as a secure job at a secure location.