What do we expect you to bring?

• Minimum of a Bachelor’s Degree, preferably in Statistics, Mathematics or related Engineering fields such as CS, Industrial Engineering.
• 2-3 years of experience in end-to-end machine learning model development, deployment, and live monitoring.
• Proficiency in Python and SQL.
• Proficiency in data science libraries like Scikit-learn, Pandas, Numpy, PySpark, XGBoost, LightGBM etc.
• Good understanding of Classification, Regression, Unsupervised Learning algorithms such as Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, KNN, K-Means.
• Proficiency in English

Nice to have;

• Master’s Degree in Data Science or in related fields.
• Proficiency in SAS.
• Experience in dashboard and/or web application development with Plotly Dash, Streamlit or RShiny.
• Prior experience in insurance, especially in risk modeling.

How can you make an impact?

• Developing and delivering advanced machine learning, analytical and optimization techniques to solve business problems including risk modeling, churn, new business and segmentation projects as a Data Scientist.
• Building end-to-end machine learning solutions including exploratory data analysis, machine learning model development & deployment and model evaluation & monitoring.
• Data preparation/processing with SQL and analyzing large & complex datasets.
• Actively seek out novel methodologies, algorithms, tools and technologies to solve assigned problems.
• Collaborate with other teams in P&C Retail Tribe to achieve best practice solutions to business problems.
• Development of reusable, maintainable, and automatable data processing and model development pipelines.
• Create and maintain clear and concise documentation associated with models.

What we will offer you?

Company:

• Working in Green certificated & pet friendly Allianz Tower / Allianz Kampüs with modern work spaces, gym & social areas.
• Working in agile, flexible, digital and social culture
• Flexible working hours
• Working 40 hours a week
• Hybrid working
• Flex summer (July – August)
• Part time working

Benefits:

• Yearly bonus
• Transportation
• Life insurance
• Employer sponsored pension & Family included health insurance
• Meal Allowance (Cash/monthly)

Leave Rights:

• School Report Day (Half Day) & First Day of school (Half Day)
• Allianz day off
• Birthday day off
• Paternity Leave – 30 days
• Marriage Leave – 5 days
• After 4 years of work, having extra one day annual leave each year (up to 26 days)

And there is much more!

Do the items above define you? Do you believe you can passionately and successfully carry out the tasks involved in the job description, that is the perfect match for you? Then, come and apply for the “ Motor Actuarial Data Science, Portfolio Management Team Member ” position.

While you await news from us, we would like to share a playlist with you to help you enjoy your time.

https://open.spotify.com/playlist/1Zx2if289cAz4WClmUvsL5?si=b48f678f66424584

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