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.

Profile

• 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.

Our client, an insurance company is looking for a Business Data Scientist to strengthen the Actuarial Department. He·she will be in charge of  the Datamart, and analyses. 

The Business Data Scientist will be responsible for  :

• Data mart
  • Finalising the implementation of the Datamart (integrate new data while controlling their quality, implement the Slowly Changing Dimension, etc.).
  • Mastering the structure and data, their business interpretation, and the underlying reporting.
  • The daily data management (error logs, automatic reports, sending data to the Group, etc.).
  • Participating actively in the implementation of IFRS 17 with the Group (creation of a harmonised DWH, data required for the models, etc.).

• Analyses
  • Understanding and anticipating the division's needs in terms of business analysis and reporting.  Creating adequate reports, with a focus on data visualisation (implement a visualisation tool: SAS VA and/or Power BI).
  • Ensuring automation of reports.
  • Providing statistics and analyses of the business to key departments (Commercial, Risk, Claims, Collection) by documenting results and their evolution.
  • The development and monitoring of various statistical models: internal model in the context of Solvency, scoring models (PoD, LGD), ...

Profile

• Master’s degree in Mathematics, Engineering, Sciences, etc.
• At least 3 years of professional experience.
• At ease with data interpretation and statistics.
• A first professional experience in creating and maintaining a database / writing ETL is necessary.
• Advanced knowledge of SAS software: SAS Enterprise Guide, SAS Enterprise Miner, SAS Management Console.