Data Scientist

LVM is more than an insurance company: we are a mutual insurance association where people and cooperation count. For over 125 years we have relied on the guiding values of trust, responsibility and security – and with success. Not without reason we are today among Germany's leading insurers. With us you will find not only a secure workplace but a community where collaboration and individual development take centre stage. We offer diverse tasks, room for ideas and a healthy work-life balance. Become part of our team! We are looking for you as a Data Science Specialist (m/w/d).

• Your tasks:
• You share responsibility for selecting and adapting analytical algorithms to solve business-driven questions.
• A core task is preparing and modelling large data volumes from diverse sources to make them usable for various questions (e.g. customer selection for marketing and survey campaigns).
• Applying and further developing the modern SAS- and Python-based data mining architecture, existing modelling standards and reporting to support our internal and field staff is also part of your role.
• You create analyses on cross-/upselling, cancellation forecasts, customer segmentation, claims forecasting, payment defaults and geomarketing.
• You visualise data and analysis results.
• You manage in-house projects from the analysis phase through to implementation and maintenance of analytical and forecasting methods.
• Supporting and accompanying compliance topics rounds off your tasks.

• You share responsibility for selecting and adapting analytical algorithms to solve business-driven questions.
• A core task is preparing and modelling large data volumes from diverse sources to make them usable for various questions (e.g. customer selection for marketing and survey campaigns).
• Applying and further developing the modern SAS- and Python-based data mining architecture, existing modelling standards and reporting to support our internal and field staff is also part of your role.
• You create analyses on cross-/upselling, cancellation forecasts, customer segmentation, claims forecasting, payment defaults and geomarketing.
• You visualise data and analysis results.
• You manage in-house projects from the analysis phase through to implementation and maintenance of analytical and forecasting methods.
• Supporting and accompanying compliance topics rounds off your tasks.

• You hold a completed degree in Business Informatics, Computer Science, Business Mathematics, Statistics, Data Science or a comparable programme with a quantitative or data-analytical focus.
• Ideally you have at least 1-2 years of professional experience in data analysis.
• You also bring strong programming experience in Python, including solid experience with data, modelling and visualisation packages.
• You have very good knowledge of programming database queries (Azure, SQL and SAS).
• You have proven knowledge and practical experience in classic and modern analysis, modelling and AI methods (including neural networks) combined with implementation techniques for classic AI models.
• Besides strong commitment and teamwork you show pronounced strategic orientation and entrepreneurial thinking and acting.
• A high degree of initiative, independence and solution orientation complete your profile.