Senior Data Scientist (m/f/d) in Group Data Analytics

Allianz SE (global headquarters)

Group Data Analytics (GDA) is a department in Allianz’s global headquarters. We are responsible for shaping Allianz’s strategic agenda for Data Analytics and Artificial Intelligence (AI), and executing Data Analytics and AI solutions at scale, across the entire Allianz Group. Our mission is to add tangible value to our business by driving future business growth and productivity, and enable data-driven transformation and decision-making.~crlf~ ~crlf~We do this by developing and deploying globally scalable Data Analytics and AI solutions. We work closely with our colleagues driving the new global business model (Allianz Customer Model), to scale the impact of analytics and AI in Claims, Sales, and Operations. We co-develop reusable assets with OEs across the world and make data fit for purpose. This includes strategic business intelligence projects to create actionable insights and improve data-driven decision making.~crlf~ ~crlf~We believe that our long-term success also rests on enabling the business and empowering employees to adopt Data Analytics and AI. We do this by creating transparency on AI capabilities and assets, providing expert knowledge to local data science teams, working towards common architecture and coding principles, and running communities of practice.~crlf~ ~crlf~An open door environment, modern technical setup, non-bureaucratic, collaborative behavior, and low hierarchies are setting the framework for a high-performing team, which strives for excellence and allows mistakes in parallel. “Leadership” will not be a phrase – and based on mutual trust and an open and honest two-way-communication with regular feedback all team members will be able to unfold their capabilities.~crlf~ ~crlf~We are looking for a Senior Data Scientists to join us in the Global Data Science Center of Excellence team within Group Data Analytics to help connect and advise data science teams from Allianz organizations across the world. You will be working together with our data scientists, solution engineers and business owners to transform Allianz into a data-driven company. It is an opportunity to apply your formerly acquired skills, to enable Allianz to scale and leverage AI, machine learning, image recognition and other related methodologies at a global scale.~crlf~ ~crlf~You will contribute to advance our best practices and diffuse them across the local teams. You will act as advisor, mentor, and point of reference for data science excellence in the company.~crlf~ ~crlf~The position is based in Munich, Germany.

What You’ll Do:~crlf~ ~crlf~You will be part of an international and multidisciplinary team of experienced data scientists. You will have the opportunity to contribute to and shape the future of data science at Allianz, by developing and distributing best practices, by mentoring and advising local teams on how to solve data and technical challenges, and by coordinating a global community of experts:~crlf~ ~crlf~##Conceive and develop end-to-end, data-driven solutions to support Allianz subsidiaries and initiatives.~crlf~##Develop and work on the integration of end-to-end software prototypes, including data engineering, machine learning and artificial intelligence algorithms, or custom algorithm development.~crlf~##Measure and track impact of the developed solutions through business KPIs. Present result of analyses to business owners and share knowledge with team members.~crlf~##Consolidate data science best practices. Mentor and coach data scientists across the organization, and train/up-skill them towards adopting best practices.~crlf~##Advise, educate, and sensitize senior stakeholders and leaders at a local and global level in data science and AI.~crlf~##Advise cross functional teams, share your experience for robust integration of analytical solutions into technical systems and business processes.~crlf~##Identify opportunities for innovation through analytics in the business of Allianz. Evaluate potential, scope projects, and define deliverables.~crlf~##Support the simplification of processes so that business owners, in addition to data scientists, can leverage Big Data to drive business decisions.~crlf~##Investigate new data technologies and contribute to the continual development of the Big Data architecture.~crlf~

Qualification~crlf~##M.S. or Ph.D. in a relevant technical field such as computer science or engineering.~crlf~##Strong programming experience in Python is required. Experience with R is a plus. Object-oriented (java, C++) or functional (Scala) programming languages are a plus. ~crlf~##Experience in maintaining ML services/API in production. ~crlf~##Software development experience is a strong plus.~crlf~##Experience in manipulating and understanding complex, high-volume data from diverse sources.~crlf~##Experience in applying modern machine learning and artificial intelligence models (supervised and unsupervised, such as gradient boosting and deep learning) in a business context. ~crlf~##Experience with distributed computing is a plus (e.g., Spark, Hadoop, H2O etc.).~crlf~##Fluency in English is required, additional languages are a plus.~crlf~ ~crlf~Experience & Key skills~crlf~The ideal candidate is comfortable working with a wide range of stakeholders and functional teams and has experience with the development and implementation of analytical solutions, with strong consulting background, and proven experience in delivering analytical solutions end to end: ~crlf~ ~crlf~##Working experience as Data Scientist (3+ years). Experience in leading projects and small, agile project teams is a strong plus. ~crlf~##Ability to relate business problems to data-driven solutions using machine learning and artificial intelligence.~crlf~##Ability to communicate complex quantitative analysis in a clear and precise manner to audiences from different departments and at different levels.~crlf~##Creative thinking and strong analytical and problem-solving skills.~crlf~

Senior Recruiter: Ms. Zhiva Hristova Phone: +49 89 3800 14379~crlf~Please submit your applications only via our online tool.

Allianz is the home for those who dare – a supportive place where you can take the initiative to grow and to actively strengthen our global leadership position. By truly caring about people – both its 100 million private and corporate customers and more than 147,000 employees – Allianz fosters a culture where its employees are empowered to collaborate, perform, embrace trends and challenge the industry. Our main ambition is to be our customers’ trusted partner, instilling them with the confidence to grow. If you dare, join us at Allianz Group.~crlf~~crlf~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.

Allianz SE is the global headquarters of the Allianz Group. Our employees reflect the Group's geographic and functional diversity. Located in Munich, Allianz SE provides the perfect opportunity to start or continue with your international career.

Please submit your complete application documents (incl. CV, certificates, references and motivation letter)~crlf~~crlf~We are looking forward to receiving your application on www.allianz.com/careers.~crlf~~crlf~Allianz SE is committed to employment equality and therefore welcomes applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life.~crlf~~crlf~

 
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