Sales Data Scientist working student

Key responsibilities/What you do 

The Data Scientist will be part of Global Markets Sales support direction  and act as global steering analyst with the responsibility to codesign, implement and maintain new automatic tools, data analyse and data science modelling by B-Partners and all sales dashboards. 

This person must have strong experience using a variety of data mining and analysis methods and tools, building and implementing models. 

The role will collaborate closely with other global functions and international BUs within Allianz Partners, like global Underwriter, Operation and Finance departments. 

• Develop and maintain an automatic advance tool by BPartner on the main Finance/Markets KPIs   

• Analyse and present data ensuring the completeness, accuracy, and appropriateness of insurance data used in order to optimize customer experience, revenue and profitability as well as other other business outcomes. 

• Contribute to innovation and efficiency across the Markets developing advanced and automatic support for all the PPT presentations and excel reports in place.

• Drive the collection of new data and the refinement of existing data sources 

• Mines and analyzes partner data improving customer segmentation methodologies. 

• Works collaboratively with global underwriters, finance, operation and network teams etc. 

• Contribute to drive sales performance around the globe.

Key requirements/What you bring 

• Bachelor's degree in Statistics, Analytics 

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real world advantages/drawbacks. 

• Experience using statistical computer languages and packages to manipulate data and draw insights from large data sets. 

• Proficiency with one or more business intelligence tools 

• Expert-level proficiency with Microsoft Office suite - very strong expertise in Power BI 

• GLM or data science modelling experiences  

• Proven experience in  Large data management and analyse 

• Fluent in English  

• Insurance and assistance technical knwoledge would be a plus  

• Sales steering experiences  

• Strong communication skills to non-technical audience 

• Highly collaborative, able to lead both with and without authority in a matrix structure in a global environment. 

• Preferrably end of study internship  

• Duration : minimum 6months  

Benefits/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.

58400 | Sales & Distribution | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
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.
Great to have you on board. Let's care for tomorrow.