Working Student , Data Science (m/f/d)

Key Skills

Microsoft-Excel, Java Programming, Design, Python Programming, SQL, Machine learning techniques, Presentation skills, Effective communication skills, Data Analysis

Job Description

Reporting to the Head of Analytics, you as Data Scientist will be supporting us with our ambitions in data analytics, predictive modelling and data quality improvements. You’ll help to support the ambitious growth & profitability targets. We have recently launched an initiative to enhance the technical excellence in all core insurance domains like underwriting, sales, operations, and claims of all lines of business (Automotive, Travel, Assistance and Health). As part of this initiative a team is developing state-of-the-art analytical models in cooperation with the subject matter experts in the lines of business, hence we need you with your high expertise in data analysis and modelling.

You will be in charge of:

• Supporting our activities regarding data analysis, the design of data-driven solutions, as well as the actual development of machine learning models:
• Preparing the analysis of the business problem and the current data situation in close collaboration with the respective subject matter experts
• Designing of innovative data-driven solutions with focus on data quality and predictive data modelling based on internal and external data sources
• Developing and validation of prototypes and discussion of results with stakeholders
• Participating in internal & interdisciplinary projects
• Collaborating with colleagues from international operating entities, hub functions as well as other Allianz Partners or Allianz Group departments on ad-hoc basis

What you bring:

• Master’s student in mathematics, data science, statistics or a similar degree with focus on data sciences
• Demonstrated experience of Python and SQL as well as of Microsoft Office package (Excel, PowerPoint, Word); additional programming languages and knowledge of BI tools of advantage 
• Extensive expertise in data analysis, the application of machine learning and developing (prototypes of) models in Python
• Willingness to think out-of-the box and search for external data to improve model quality 
• Highly developed interpersonal skills (i.e. communication, presentation and negotiation)
• Excellent verbal and written English required 

What we offer:
Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.

We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance.

Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.

Our products are embedded seamlessly into our partners’ businesses or sold directly to customers, and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care. Present in 75 countries, our 21,100 employees speak 70 languages, handle over 71 million cases each year, and are motivated to go the extra mile to offer peace of mind to our customers around the world.

We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.