All new
Data Science
jobs, in one place.

Updated daily to help you be the first to apply ⏱

Actuarial Data Scientist (m/f/d) in Group Actuarial Planning and Controlling
  • Python
  • Spark
  • SQL
  • Machine Learning
  • Database
146 days ago


As an actuarial data scientist in Group Actuarial, Planning and Controlling – Actuarial Non-Life (GAPC-NL) you will develop solutions for analyzing and estimating claims experience. You will focus on predictive analytics and use machine learning approaches to implement state-of-the-art solutions. You will be part of a small team and collaborate closely with international data scientists and data engineers. You will keep up to date with industry and data science standards and build bridges to the traditional actuarial world.


Develop new concepts for analyzing and estimating claims experience

Enhance actuarial analyses by using machine and artificial intelligence approaches

Build solutions from scratch to end in efficient and ready-to-use way

Evangelize team members and wider audience

Drive forward actively streamlining and automatization of internal processes



Tertiary qualification (ideally Master or PhD), preferably in (Insurance) Mathematics or Data Science

Strong analytical and conceptual capabilities, problem solving ability

Proven expertise in machine learning and artificial intelligence methods is required

Programming experience in Python is a must, R would be a plus

Experience with handling databases (SQL) would be beneficial

Software development orientation is a plus (agile, Git)

Experience/Knowledge with Spark would be beneficial

Experience & Key Skills:

Advanced knowledge of non-life insurance and its actuarial concepts

Very good proficiency of the English language, German language is beneficial

Good communication and presentation skills, especially ability to convey information to non-expert audience and senior management

Pro-active communication approach and strong ability to work independently


Senior Recruiter: Ms. Sabrina DiClemente Phone: +49 (0)89 3800- 69518
Please submit your applications only via the tool (blue button above).

Reference Code

AZSE-6793691-10Allianz 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 85 million private and corporate customers and more than 142,000 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

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.

    Related Jobs

  • Innovative Data Scientist - Pharmceuticals (m/f/d)

    • Pandas
    • scikit-learn
    • PyTorch
    17 days ago
  • Manager (w/m/d) Data Scientist – Consulting (Financial Services)

    • Data Mining
    • Deep Learning
    • Java
    Ernst & Young
    Frankfurt am Main
    19 days ago
  • (Senior) Data Analyst (m/w/d) im Risikocontrolling

    • SAS
    • SQL
    • Python
    Société Générale
    25 days ago
  • Digital Health Data Scientist (m/w/d)

    • PyTorch
    • Perl
    • SQL
    4 days ago
  • Consultant Data Scientist (m/f/d)

    • SQL
    • Machine Learning
    6 days ago