High level of personal responsibility in a young, modern and agile team; Full ownership of international project and its final results; Exciting mix of in-depth portfolio-analysis and direct client communication; Data analysis and research using machine learning methods; Maintenance and further development of process automation; Focus on interpretability of results and derivation of concrete action points
Requirements:
Master degree in mathematics, statistics, data science, computer science, physics or comparable field of study; Sound knowledge of statistics and data science, with focus on machine learning; Sound knowledge of a higher programming language (e.g. R, Python); Ideally basic knowledge of actuarial science
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Job Field All Entry Level All Location All Full-Time/Part-Time All Department All Reference Number All Clear × Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Apply now » Data Scientist with Focus on Machine Learning as a Customer Service Reference Number: 973 Contract Type: Temporary Working Time: Full-Time Hannover Re - as a global reinsurer we assume risks from other insurers and work with them to develop innovative products. Some 3,000 experts worldwide from a range of specialist disciplines devote their know-how and passion for their profession to strengthening and expanding our excellent market position on a daily basis. By taking an assuredly different approach to their work, they make us one of the most profitable reinsurance groups in the world. If you want to experience how things are done in the L&H Analytics and Longevity - L&H Data Analytics - Data Analytics team at our headquarters in Hannover/Germany, join us on a temporary, for 36 months commencing as soon as possible as a Data Scientist with Focus on Machine Learning as a Customer Service . Your Tasks You will be part of our hr | bluebox team with a startup-like atmosphere, which offers Data Science / Machine Learning as a Service to Hannover Re’s clients, i.e. primary insurers, aiming to derive data-driven decisions and to increase the profitability of the primary insurance business. High level of personal responsibility in a young, modern and agile team Full ownership of international project and its final results Exciting mix of in-depth portfolio-analysis and direct client communication Data analysis and research using machine learning methods Maintenance and further development of process automation Focus on interpretability of results and derivation of concrete action points Master degree in mathematics, statistics, data science, computer science, physics or comparable field of study Sound knowledge of statistics and data science, with focus on machine learning Sound knowledge of a higher programming language (e.g. R, Python) Ideally basic knowledge of actuarial science Experience in international projects is an advantage Proficient user skills in English (at least level C1) and additional language is an advantage Passion and fun for Data Science, machine learning & international collaboration On a personal level, you can impress us with your very good powers of communication and your strong social skills. If you also have an assured manner in interactions with internal and external customers, are innovative and enjoy working internationally as part of a team, you have come to exactly the right place! Your Profile You will be part of our hr | bluebox team with a startup-like atmosphere, which offers Data Science / Machine Learning as a Service to Hannover Re’s clients, i.e. primary insurers, aiming to derive data-driven decisions and to increase the profitability of the primary insurance business. High level of personal responsibility in a young, modern and agile team Full ownership of international project and its final results Exciting mix of in-depth portfolio-analysis and direct client communication Data analysis and research using machine learning methods Maintenance and further development of process automation Focus on interpretability of results and derivation of concrete action points Master degree in mathematics, statistics, data science, computer science, physics or comparable field of study Sound knowledge of statistics and data science, with focus on machine learning Sound knowledge of a higher programming language (e.g. R, Python) Ideally basic knowledge of actuarial science Experience in international projects is an advantage Proficient user skills in English (at least level C1) and additional language is an advantage Passion and fun for Data Science, machine learning & international collaboration On a personal level, you can impress us with your very good powers of communication and your strong social skills. If you also have an assured manner in interactions with internal and external customers, are innovative and enjoy working internationally as part of a team, you have come to exactly the right place! What We Offer Atmosphere: You will find an international working environment with short decision channels, an open feedback culture and a sense of community shaped by mutual esteem and a readiness to help. Benefits: Structured onboarding, flexible working hours, benefits superior to those of the collective agreement as well as modern offers for personal development, health management and work-life balance are just some of our benefits. Prospects: You contribute your specialist and methodological expertise and we offer you fresh input and the opportunity to further develop your potential - including room to come up with innovative ideas and act on them! If you too would like the assurance of a different way of working , apply simply and securely by clicking on the „apply now“-button. You can find out more about our working environment, your entry options and development opportunities at www.hannover-re.com/career. Apply now » Find similar jobs: Topics Property & Casualty Life & Health Investors Press Sustainability Group Career at Hannover Re Career Contact Contact form Legal Information Imprint Disclaimer Data privacy declaration of the Hannover Re Group Data privacy declaration for the application process, as of 01.2023 × Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. 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