Head of Data Science

  • 38662
  • Non-Life - Data Science
  • |
  • Germany
  • |
  • Nov 30, 2020
Insurance
RESPONSIBILITIES
  • Lead an international and multidisciplinary team of data scientists, involved in developing end-to-end, data-driven solutions to support strategic priorities of business functions.
  • Work with business functions and product owners to conceive and design end-to-end data driven solutions to support the strategic priorities.
  • Create predictive and prescriptive models to support the strategic business goals and evaluate the results and ensure realization of business benefits.
  • Responsible for liaising with various business areas to enable availability and quality of data and technology providers to ensure use of the best technology to enable the success of the analytics solutions.
  • Contribute to and shape the future of data science at the company by influencing the advanced analytics strategies of key business functions, by developing and distributing best practices, by mentoring and advising local teams on how to solve data and technical challenges, and by coordinating a global community of experts.
  • Ensure synergies and scalability of exploratory solutions across business capabilities with respect to data science and outcomes, and work with business experts, IT and the company to ensure a seamless transition of transformation projects into production.
  • Develop and work on the integration of end-to-end software prototypes, including data engineering, machine learning and artificial intelligence algorithms, or custom algorithm development.
  • Measure and track impact of the developed solutions through business KPIs. Present result of analyses to business owners and share knowledge with team members.
  • Advise, educate, and sensitize senior stakeholders and leaders at a local and global level in data science and AI.
  • Support the development of advance solutions so that business owners, in addition to data scientists, can leverage Big Data to drive business decisions.
  • Investigate new data technologies and collaborate with other company functions and Operating Entities to adopt state-of-the-art technology in accordance with Group standards.
QUALIFICATIONS
  • M.S. or Ph.D. in mathematics, statistics or similar professional experience with focus on data sciences and AI.
  • High programming experience in Python is required. Experience with R is a plus. Object-oriented (java, C++) or functional (Scala) programming languages are a plus.
  • Experience in applying modern machine learning and artificial intelligence models (supervised and unsupervised, such as gradient boosting and deep learning) in a business context. Experience in maintaining ML services/API in production plus.
  • Software development experience is a strong plus.
  • Experience with distributed computing is a plus (e.g., Spark, Hadoop, H2O etc.).Experience in leading team of data science experts and a track record in developing and deploying advance analytics solutions.
  • Willingness to think out-of-the box, creative thinking and strong analytical and problem-solving skills.
  • Ability to relate business problems to data-driven solutions using machine learning and artificial intelligence.
  • Experience in working in a fast-paced, dynamic and international environment.
  • Intercultural sensitivity and international experience.
  • Highly developed interpersonal skills.
  • Ability to communicate complex quantitative analysis in a clear and precise manner to audiences from different departments and at different levels.
  • Experience in leading projects and small, agile project teams is a strong plus.
  • Fluency in English is required, additional languages are a plus.