Data Scientist (m/f/d)

Job description

Munich, Bavaria
FunctionalArea

Information Technology
ContractType

Full Time
HierarchyLevel

Professional
Posting

55691132
JobID

C2EBDE1DCF021ED8A8BD8F22489C86F3
JOB PURPOSE/ROLE

KEY RESPONSIBILITIES

Conceive and develop end-to-end, data-driven solutions to support Allianz operational entities and initiatives.
Lead analytics products and data-driven initiatives with a small cross-functional team.
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.
Strongly contribute in agile cross functional teams, bringing the development skills for robust integration of AI products into technical systems
Measure and track impact of the products developed through business KPIs. Present result of analyses to business owners and share knowledge with team members.
Support the simplification of processes so that business owners, in addition to data scientists, can leverage Big Data to drive business decisions.
Investigate new data technologies and contribute to the continual development of the Big Data architecture.
KEY REQUIREMENTS/SKILLS/EXPERIENCE

Qualification:
M.S. or Ph.D. in a relevant technical field such as computer science or engineering.
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.
Fluency in English is required, additional languages are a plus.

Experience & Key Skills:
Experience with databases and SQL language.
Working experience as Data Scientist (1+ years). Experience in leading projects and small, agile project teams is a strong plus.
Experience in maintaining ML services/API in production.
Software development experience is a strong plus.
Experience in manipulating and understanding complex, high-volume data from diverse sources.
Experience in applying modern machine learning and artificial intelligence models (supervised and unsupervised, such as gradient boosting and deep learning) in a business context.
Experience with distributed computing is a plus (e.g., Spark, Hadoop, H2O etc.).
Ability to relate business problems to data-driven solutions using machine learning and artificial intelligence.
Ability to communicate complex quantitative analysis in a clear and precise manner to audiences from different departments and at different levels.
Creative thinking and strong analytical and problem-solving skills.
ADDITIONAL INFORMATION

REFERENCE CODE:

AZSE-5691131-3


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 88 million private and corporate customers and more than 140,000 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.

Allianz is an equal opportunity employer. Everybody is welcome, regardless of other characteristics such as gender, age, origin, nationality, race or ethnicity, religion, disability, or sexual orientation.


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)

We are looking forward to receiving your application on www.allianz.com/careers.

Allianz SE is committed to employment equity and therefore welcomes applications from men and women regardless race or ethnicity, age, nationality, religion, disability, sexual orientation or philosophy of life.