Data Science
Order in chaos
WHAT IS DATA SCIENCE?
Interdisciplinary and insightful
Data science is an interdisciplinary field that uses methods, processes, algorithms and systems to extract knowledge and patterns from structured and unstructured data. The field of data science combines knowledge from statistics, computer science and specific specialist areas to support data-based decisions and create forecasts through data analysis and machine learning. Data science is used in various areas such as business, healthcare and technology, for example to understand customer trends, improve medical diagnoses or optimize products.
Why data science?
Interpreting numbers correctly
Data science is used to gain valuable insights from data. In the insurance industry, it helps to make more accurate predictions, better manage risks, detect fraud, retain customers and analyze claims. It also enables the personalization of services and the identification of new business opportunities, which in turn increases the efficiency and competitiveness of companies. This is why specialists who are well versed in both actuarial science and data science are in high demand on the job market.
How do I become a data scientist?
Follow the numbers
To become an Actuarial Data Scientist, a combination of education, expertise and practical experience is required. This includes an education in mathematics, statistics or a related field, a specialization in actuarial science and training in data science. Practical experience as well as certifications and continuous training in current data science technologies and methods are a great advantage. As data science is an interdisciplinary field, communication skills and knowledge in specific application areas are also valuable.
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EXCLUSIVE
Focus on data science
It is a large specialist area that inspires and invites you to delve deeper: Data science is interesting and fascinating, which is why we have created a dedicated website for it. The platform is aimed at actuaries, data scientists and experts from the insurance world who want to apply data-based methods in a well-founded manner and develop them further together. The focus is on professional exchange, practical analyses and innovative impulses at the interface of actuarial mathematics, statistics and modern data analysis.
Discover now, join the discussion and actively shape the future of actuarial methods!
DATA SCIENCE READING CLUB
Passionately informed
Enthusiastic data science experts meet at regular intervals to discuss current topics and studies in the field of data science. Sign up and share the fascination with others!
TO THE DATA SCIENCE READING CLUB
Team Data Science
Patrick Cheridito
Mustafa Alkaisy
