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AXA

Global insurer offering life, property, casualty

Trainee Aktuariat & Data Science - m/w/d

Actuarial & Risk ModellingConfirmed live in the last 24 hours
Full-timeCologne, GermanyNo salary listed

About the Job

Requirements

  • A successfully completed degree with an analytical-quantitative focus, such as mathematics, statistics, data science, business mathematics, or a comparable program.
  • Initial practical experience in data science or analytics gained through internships, working-student roles, or research projects; insurance experience is ideal.
  • Proficiency in Python and SQL, with Git and cloud-based development environments desirable.
  • Ability to analyze large datasets, identify relationships, and derive insights for data-driven decisions in actuarial work and data science.
  • Ability to approach complex questions in a structured way and translate analysis into actionable recommendations and economic value.
  • Fluent German and English, with the ability to communicate complex technical and analytical topics clearly to stakeholders.
  • Interest in new technologies, methods, and subject areas, and ability to apply learning to new tasks and assignments.
  • Ability to work independently, prioritize across changing assignments, and move topics forward with initiative.
  • Available to start on January 1, 2027.

Responsibilities

  • Participate in an 18- to 24-month trainee program across four to five rotations in data science and actuarial functions.
  • Become familiar with the organization's data landscape and tools, including Snowflake, GitHub, and Python.
  • Contribute to data analysis in a cross-functional organization and help develop the modeling landscape.
  • Work on projects in the Data Innovation Lab or contribute to the organization's analytics transformation.
  • Apply methods such as LightGBM, large language models, and generalized linear models in a cloud-based infrastructure to address insurance-related questions and generate economic value.
  • Help build and develop pricing optimization and rating processes, or contribute to claims analysis.
  • Build a company-wide network through training, seminars, and work with different teams.

Desired Qualifications

  • Insurance-sector experience in data science or analytics.
  • Experience with Git and cloud-based development environments.
  • International experience, such as a semester or internship abroad.
  • An optional four- to six-week placement in the data department of an AXA Group entity abroad.

About the Company

AXA

Global insurer offering life, property, casualty

AXA is a global insurer and asset manager that provides life, health, and property and casualty insurance, as well as related financial services. Its products work by customers paying insurance premiums in exchange for coverage against risks; AXA pools risk across many policyholders, prices premiums based on risk, and pays claims when events occur, while also offering investment and retirement products through its asset management arm. The company has grown through large acquisitions, giving it a wide geographic footprint and a diverse mix of personal, commercial, and specialty insurance offerings. This scale and breadth set AXA apart from many competitors, alongside a long history of strategic mergers that expanded its reach to customers around the world. AXA’s goal is to be a leading global insurer and asset manager, delivering financial protection and long-term value to customers and stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1816

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