(Senior) Data Scientist (m/f/d) in our Data & AI Lab

Looking forward to the future? Then apply as a Data Scientist (m/f/d) in our Data & AI Lab!

Do you understand AI and data technologies as tools to enable fact-based decisions, optimize processes or develop new products and services?

Then join us in building our Data & AI Lab! The lab is located in the area of ​​digitalization and innovation and will further develop the Sparkasse's business model in a responsible and data-driven manner based on modern analytics methods (artificial intelligence, machine learning, etc.) and business intelligence.

Your benefits:

• Competitive remuneration: You will receive attractive remuneration according to TVÖD-S as well as additional special payments and capital-forming benefits.
• Public sector employment: Become part of a safe working environment
• Work-life balance: Enjoy 32 days of vacation, flexible working hours, mobile working and additional days off on December 24th and 31st as well as Shrove Monday
• Health management: Benefit from our comprehensive health management and company pension
• Professional mobility: You will receive a Deutschlandticket and a company cell phone
• Individual support: Take advantage of our diverse training and advancement opportunities to actively shape your career. The possibility of admission as an in-house lawyer is supported.
• Financial benefits: Look forward to attractive employee benefits and an employee branch for your financial matters

Your tasks

• As a (Senior) Data Scientist, you will drive exciting and challenging advanced analytics projects in the savings bank context as a project manager.
• You will independently develop models with MLOps for use cases in the areas of forecasting, classification, recommendation and scoring.
• Data engineering and consideration of regulatory requirements for AI are also part of your responsibilities.
• You will work in our interdisciplinary team, particularly in direct sparring with an in-house consultant, in order to best combine your methodological know-how with the (banking) technical requirements.
• You are a role model for your junior colleagues and provide them with professional guidance.

We wish for this

• You have a completed degree in economics, computer science, mathematics, physics or equivalent knowledge and skills acquired through relevant professional experience.
• You have in-depth knowledge of advanced analytics and data science with the ability to identify relevant relationships from large amounts of data and derive recommendations for action.
• You have strong conceptual and analytical skills and experience with established data mining methods (predictive modeling, clustering, classification, random forests, etc.).
• You have sound and practical knowledge of SQL, programming (especially Python/R), statistical methods and are confident in using common databases (e.g. Exasol, DB2) and analysis software (e.g. SPSS Modeler).
• Experience with Finanz Informatik’s KoALa analysis platform is an advantage but not necessary.
• You are open to varied topics and activities and work independently and solution-oriented.

Would you like to find out more about future tasks and become part of our team? Simply call or email us.

Heike Kreimer
Personnel Consulting
0221 227-2506
heike.kreimer(at)ksk-koeln.de