Munich RE

Munich Re is one of the world's leading reinsurance companies with more than 11,000 employees at over 50 locations around the globe. We are working on topics today that will concern the whole of society tomorrow, whether that be climate change, major construction projects, gene technology or space travel. We find solutions to these challenges through a network of highly qualified professionals who anticipate risks, work on tailor-made solutions and expertly advise our clients.

Munich RE Munich, Germany
16/06/2018
Full time
Our RID1.4.2 AI Department analyses data and creates models of underlying relationships. The data can be internal, external, structured or unstructured. The aim is to improve underwriting (risk assessment and pricing) and claims-management decisions, and offer new services and business models through data-based methods. Key issues include automated information extraction, and designing and optimising models and extraction strategies. Our RID1.4.2 AI Department cooperates closely with data engineering, IT, operational and analytical units, and the Innoscouts. We offer you the possibility of applying the latest methods to state-of-the-art infrastructure, within a highly motivated team of experts. As the world’s largest reinsurer, we can provide an extremely diverse and exciting set of issues for you to work on. You will have the opportunity to continually develop yourself, and to test current approaches on large amounts of data. We are looking for a creative thinker who uses innovative methods, and who has excellent practical knowledge in applying current Natural Language Processing (NLP) and machine-learning (ML) algorithms and statistical procedures. YOUR JOB Actively working on and leading projects in NLP, ML and statistics Developing and implementing solutions that enable the business units to generate more and better business (quantitative and qualitative aspects) Developing and operating the text mining platform Supporting and advising the business units in applying the latest research methods and providing a central source for specialised data analysis and for modelling know-how, tools and methods Presenting your findings and the systems you have developed to internal and external stakeholders Carrying out research on statistical, ML and NLP methods and technologies that could offer potential competitive advantages Networking with existing data-intensive units in the reporting and analysis fields, and with IT to create an AI community YOUR PROFILE University degree in computational linguistics, NLP, statistics, applied mathematics, IT, or a comparable field Excellent knowledge of and at least three years’ experience in the areas of NLP, data science, semantic data modelling or semantic search. Good knowledge of relevant tools/languages such as Python, R, Java or SAS Experience in setting up and operating a text mining platform Excellent knowledge about extracting entities and relations (information extraction) from unstructured data sources  Knowledge of software development, web development and visualisation would be an asset Insurance or reinsurance experience would be an advantage (life or non-life) Readiness to embrace innovation, forward-looking and a group-wide manner of thinking and action, pronounced service focus, ability to work in a team, and a very high level of commitment Very good command of German and English and a willingness to travel Munich Re is one of the world's leading reinsurance companies with more than 11,000 employees at over 50 locations around the globe. We are working on topics today that will concern the whole of society tomorrow, whether that be climate change, major construction projects, gene technology or space travel. We find solutions to these challenges through a network of highly qualified professionals who anticipate risks, work on tailor-made solutions and expertly advise our clients. If you want to help shape the future as part of one of our teams, we look forward to hearing from you. Please click on the link to apply online. Veronika Buchhierl Human Resources Königinstraße 107 80802 München GERMANY * Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunities employer. Severely disabled candidates will also be prioritized, if equally qualified.
Munich RE Munich, Germany
16/06/2018
Full time
Our RID1.4.2 AI Department analyses data and creates models of underlying relationships. The data can be internal, external, structured or unstructured. The aim is to improve underwriting (risk assessment and pricing) and claims-management decisions, and offer new services and business models through data-based methods. Key issues include automated information extraction, and designing and optimising models and extraction strategies. Our RID1.4.2 Analytics Department cooperates closely with data engineering, IT, operational and analytical units, and the Innoscouts. We offer you the possibility of applying the latest methods to state-of-the-art infrastructure, within a highly motivated team of experts. As the world’s largest reinsurer, we can provide an extremely diverse and exciting set of issues for you to work on. You will have the opportunity to continually develop yourself, and to test current approaches on large amounts of data. We are looking for a creative thinker who uses innovative methods, and who has excellent practical knowledge in applying current machine-learning (ML) and deep-learning (DL) algorithms. YOUR JOB Actively working on and leading projects in the areas of machine learning and deep learning Developing and implementing solutions, from prototype to production Presenting solutions and systems to internal and external stakeholders Partnering and advising the operative units on how to use the latest findings from deep learning research Constantly improving current deep learning approaches and systems Assessing deep learning processes and technologies in various contexts Networking with other analytical units to create an Analytics Community YOUR PROFILE University degree in statistics, applied mathematics, information technology or an equivalent area of studies Excellent knowledge of machine learning, deep learning and artificial intelligence, as well as of relevant tools such as Python, R, or SAS Very good knowledge of neural network architecture (ConvNets, RNNs, LSTMs, etc.) and experience with deep learning libraries (keras, tensorflow, theano, pytorch, mxnet, etc.) Ideally, experience in extracting entities and relations (information extraction) from unstructured data sources, and in recognising and classifying objects in images Ideally, experience with AWS or Azure Cloud Ideally, experience in web development and visualisation, and in primary insurance or reinsurance (life or non-life) Ability to innovate, forward-looking and a group-wide manner of thinking and action, pronounced service focus, team spirit, and a very high level of commitment Very good command of German and English and a willingness to travel Munich Re is one of the world's leading reinsurance companies with more than 11,000 employees at over 50 locations around the globe. We are working on topics today that will concern the whole of society tomorrow, whether that be climate change, major construction projects, gene technology or space travel. We find solutions to these challenges through a network of highly qualified professionals who anticipate risks, work on tailor-made solutions and expertly advise our clients. If you want to help shape the future as part of one of our teams, we look forward to hearing from you. Please click on the link to apply online. Veronika Buchhierl Human Resources Königinstraße 107 80802 München GERMANY * Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunities employer. Severely disabled candidates will also be prioritized, if equally qualified.
Munich RE Munich, Germany
16/06/2018
Full time
Our RID1.4.2 AI Department analyses data and creates models of underlying relationships. The data can be internal, external, structured or unstructured. The aim is to improve underwriting (risk assessment and pricing) and claims-management decisions, and offer new services and business models through data-based methods. Key issues include automated information extraction, and designing and optimising models and extraction strategies. Our RID1.4.2 Analytics Department cooperates closely with data engineering, IT, operational and analytical units, and the Innoscouts. We offer you the possibility of applying the latest methods to state-of-the-art infrastructure, within a highly motivated team of experts. As the world’s largest reinsurer, we can provide an extremely diverse and exciting set of issues for you to work on. You will have the opportunity to continually develop yourself, and to test current approaches on large amounts of data. We are looking for a creative thinker who uses innovative methods, and who has excellent practical kn YOUR JOB Actively managing and participating in statistical, ML and DL projects Developing and implementing analytical solutions, from prototype to production Presenting analytical solutions to internal and external stakeholders Partnering and advising the operative units on how to use the latest findings from predictive and advanced analytics research Assessing statistical, ML and DL methods and technologies that could offer potential competitive advantages Networking with other analytical units to create an Analytics Community YOUR PROFILE University degree in statistics, applied mathematics, information technology or an equivalent area of studies Excellent knowledge of statistical testing, ML and DL processes, and solid programming experience in relevant tools/languages such as Python, R or SAS Three years’ experience as a data scientist, or exceptional results on Kaggle Experience in software development, web design and visualisation would be an asset Insurance or reinsurance know-how would be an advantage (life or non-life) Readiness to embrace innovation, forward-looking and a group-wide manner of thinking and action, pronounced service focus, and ability to work in a team High level of commitment and an independent, practical approach to work in a dynamic, start-up-type environment Very good command of German and English and willingness to travel Munich Re is one of the world's leading reinsurance companies with more than 11,000 employees at over 50 locations around the globe. We are working on topics today that will concern the whole of society tomorrow, whether that be climate change, major construction projects, gene technology or space travel. We find solutions to these challenges through a network of highly qualified professionals who anticipate risks, work on tailor-made solutions and expertly advise our clients. If you want to help shape the future as part of one of our teams, we look forward to hearing from you. Please click on the link to apply online. Veronika Buchhierl Human Resources Königinstraße 107 80802 München GERMANY * Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunities employer. Severely disabled candidates will also be prioritized, if equally qualified.