Junior Data Scientist (m/f/x)

Munich Re is looking for a creative thinker to drive the application of natural language processing (NLP), computer vision and machine learning (ML) algorithms and statistical procedures to solve a range of exciting challenges in the insurance space.

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Responsibilities

• Actively working on projects that enable business units to generate more and better business (quantitative and qualitative aspects) using NLP, ML and statistics
• Developing and implementing AI solutions, from prototype to production
• Supporting and advising business units in applying the latest methods and providing a central source for specialised data analysis and for modelling know-how, tools and methods
• Presenting your findings and the systems developed to internal and external stakeholders
• Identifying and assessing the potential of statistical, ML and NLP innovations and technologies that could offer potential competitive advantages in the insurance space
• Networking with existing quantitative units in the reporting and analysis fields, and with IT to create an AI community

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Your profile

• University degree (master’s and above) in a quantitative field (mathematics, computer science, physics, engineering, business analytics) with a solid understanding of probabilities, statistics and machine learning.
• Very good theoretical and practical understanding of modern machine learning and artificial intelligence techniques
• Expertise in at least one of the following areas: natural language processing (NLP), computer vision, knowledge graphs, recommender systems, time series
• Very strong presentation, strategic thinking, consulting and project management skills as well as a demonstrated interest in taking ownership of technical initiatives from coordination to implementation
• Very good Python programming skills and fluency in ML frameworks like Pytorch or Tensorflow.
• Solid knowledge of software development best practices (version control, testing), architecture design, object-oriented programming, data structure and algorithms
• Publications in data analytics-related sciences or open-source contributions is a plus
• Readiness to embrace innovation, forward-looking, Group-wide manner of thinking and action, pronounced service focus, ability to work in a team, and a very high level of commitment
• High level of accountability, ability to deal with uncertainty and execute in an ambiguous environment
• Experience in the insurance, risk management or financial services industry is a plus
• Very good command of English and a willingness to travel

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Benefits

• You will work in an environment where you think big: Change and culture are continuously role-modeled. The company creates and articulates a compelling and ambitious shared purpose, vision and direction, paving the way towards success and seeing failure as learning
• They are empathetic: knowing when to lead and know when to let others lead.
• They communicate in a clear & authentic way, interacting with a positive and humble spirit, soliciting feedback, asking, listening, learning and unlearning
• You will grow with your clients
• They have a passion for winning and growing as a team.
• The company inspires people to be capable of joint performance.
• The company creates an inclusive environment where different thoughts, generations, cultures and experiences are valued and encouraged

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How to apply!

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