Job title: Actuaire Data Scientist
Job type: Permanent
Emp type: Full-time
Industry: Insurance
Functional Expertise: Actuarial Data Science Skills
Location: Paris
Job published: 24/04/2024
Job ID: 33201

Job Description


Our client, an insurance company is looking for a Senior Actuarial Data Scientist to strengthen the Global Data Analytics & AI Department. He/she will be in charge of developing prototypes, creating a business approach, and laying the groundwork for future developments for all Data Science activities of the Group . The Senior Actuarial Data Scientist will be responsible for a range of data-related tasks:

  • Conduct data analysis and statistical studies to validate assumptions and refine model parameters.
  • Engage in statistical analysis and machine learning within the context of risk management, focusing on insurance credit risk.
  • Explore new algorithms to enhance predictive modeling, segmentation, forecasting, and optimization processes.
  • Create rapid prototypes to validate various use cases.
  • Collaborate with team members to discuss research findings and insights, presenting your work to stakeholders.
  • Document your work through comprehensive reports, annotated code, and other related project artifacts.

Key responsibilities also include:

  • Implement, test, and maintain predictive models.
  • Oversee the integration of new algorithms into operational processes, monitor performance, and strive for continuous improvement.
  • Develop specialized tools, processes, and data visualizations to ensure high-quality service delivery and measure business impact.


  • Master’s degree in Data Science, Engineering, Mathematics or Actuarial Science
  • At least 3 years of experience.
  • Knowledge of Non-life modelling especially for regulatory of pricing purposes OR in Financial Modelling
  • Excellent knowledge or experience working with Python
  • Ability to structure Data and use them to generate business opportunities
  • Ability in the use of descriptive statistics, applied mathematics and predictive analytics.