Data Science Manager

Coverage Area
IT/Quantitative Analytics
Institution Type
FinTech Firm

Our client, a renowned FinTech firm is looking for a Data Science Manager to join their firm, based in Frankfurt. The firm’s business fields cover Blockchain (DLT), Robo Advisory (digital asset management), Personal Finance Management and Omni-Channel Banking, Artificial Intelligence (Machine Learning), Banking as a Service (Infrastructure) and Crowdfinance. Services they provide include: Development of customer-specific digitization strategies, strategic and technological consulting, accompaniment of complete transformation programs, and creation of market insights in the field of FinTech. The team’s responsibilities include: Independent building and management of an interdisciplinary team of consultants and developers. As an expert in the field of FinTech Consulting, you will initially take on a leading role in your own customer projects and be responsible for strategic expansion. As the main contact person for the management of our customers, you will recognize needs at an early stage and support them in all questions regarding the introduction of new technologies. You will become part of the management team and have the opportunity to realize your own ideas independently and together with the team. Requirements for this role: First-hand experience in deep learning, PyTorch or Tensorflow • Good programming skills in at least two of the following technologies: Python, Numpy, Scikit-learn, Pandas • Successful completion of studies • Results-oriented, fun with challenges and implementation drive • Communication and presentation skills in German and English • Occasional willingness to travel. Your Chances: • Become a central component of a young and successful company with already first major projects in the field of FinTech • Take responsibility in building a business • Flexible working time and workplace model (home office) • Attractive salary package with fixed and variable compensation • Excellent infrastructure (Apple Equipment, Coursera, Netflix, Gym, etc.)