Senior Actuarial Data Scientist

Key Skills

Actuarial , Big Data Technology, Data Analysis, Data cleaning / Data cleansing, Data science techniques, Effective communication skills, Presentation skills, Python Programming, R Programming, Scrum Agile Methodology

Job Description

RESPONSIBILITIES

Key duties and responsibilities

• You conduct experience studies and other data analyses, incl. data preparation and cleansing, as well as presentation of results to internal and external clients
• You support product development and market teams as well as technical accounting and controlling departments with data, analyses, and tools
• You develop our strategic data analysis service offering for internal and external clients and respective tooling requirements
• You explore, implement and review new data sources and data science methods for the DAS team’s tasks 
• You lead multi-disciplinary, multi-team projects centred around data
• You represent our CEN macro market in the global exchange of methods, data, and tools in SCOR’s data science community, and help adopting respective innovative solutions in our markets
• You increase SCOR’s visibility in the industry and with clients as a data expert and solution provider

QUALIFICATIONS

Required experience & competencies

Experience / Digital Competencies: 

• Multi-year specific work experience in (re)insurance with a focus on mathematics and/or statistics
• Advanced knowledge of statistical and/or actuarial methods esp. with regard to data analytics/ data science
• Very good knowledge in programming/ coding with R or Python 
• Advanced knowledge in dealing with various forms of insurance data incl. Big Data
• Ideally, agile project management (e.g., SCRUM)

Personal Competencies:

• Advanced communication skills in English and German
• Advanced analytical and mathematical skills
• Personal competencies according to company values

Required Education:

• University degree/Master degree in Mathematics, Actuarial Science, equivalent other scientific discipline with strong mathematical focus
• Membership in actuarial association/qualified as an actuary, preferably additional actuarial data science certification (e.g. CADS), or equivalent qualification.