Junior Data Scientist

**Junior Data Scientist **(M/F/d) ****:
For the Data and Analytics Division (DAA) - Artificial Intelligence

**Location**
Munich, Germany

Your job
- 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
- 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

**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

About us

As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel. Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation. Sounds like you? Make it happen and be part of Munich Re.
- You will work in an environment where we think big: Change and culture are continuously role-modeled. We create and articulate a compelling and ambitious shared purpose, vision and direction. We pave the way towards success and see failure as learning
- You are going to experience that we care & dare: We are empathetic. We know when to lead and know when to let others lead. We attract, grow and coach future leaders
- We communicate in a clear & authentic way: We interact with a positive and humble spirit. We solicit feedback, ask and listen, learn and unlearn
- You will grow with your clients: Whatever our role, we support business, in an efficient and effective way, to create value for our clients. We embrace new ways of working leveraging digitalization to deliver solutions
- Join us, and experience that we lead the We: We have a passion for winning and growing as a team. We inspire people to be capable of joint performance. We create an inclusive environment where different thoughts, generations, cultures and experiences are valued and encouraged

**Münchener Rückversicherungs-Gesellschaft**
Marika Schwertner
Human Resources
Königinstraße 107
80802 München
GERMANY