DK
Senior Data Scientist - Customer Intelligence
Das Kann Bank
Germany · Hybrid Senior 1w ago
About the role
About
DKB AG Location: Berlin Permanent Part-time/Full-time Starting immediately
Responsibilities
- Develop high-performing models to reliably estimate Customer Lifetime Value (CLV) and make it usable as a control variable in retail banking.
- Take end-to-end responsibility for the development of ML-based services, from proof of concept to production system.
- Further develop the AWS-based data science environment together with engineering colleagues to make CLV models faster, more robust, and scalable.
- Convincingly communicate the added value of your data science projects to both business and technical stakeholders.
- Regularly expand your knowledge and use the best available methods for model development.
- Proactively share your experience with your colleagues to support joint development.
Requirements
- Completed studies in Mathematics, Physics, (Business) Informatics, or another quantitative field.
- Deep understanding of machine learning methods (especially time series, classification, and regression methods).
- Sound knowledge of AWS, Git, Python, R, and SQL.
- Concise and structured communication skills.
- Very good German and English language skills.
- Practical experience in modeling churn and Customer Lifetime Value is an advantage.
The DKB stands for diversity and equal opportunities. No matter where you come from, how old you are, your gender, gender identity, sexual orientation, or religion, whether you have a disability or not – we look forward to your application!
Benefits
- Attractive remuneration (tariff or non-tariff)
- Flexible and mobile working – temporarily also within the EU
- You have the choice: Benefits Pass, Job Ticket, or Job Bike
- Modern technical equipment and tool stack
- Individual qualification opportunities
- "Du" culture and no dress code
- External employee counseling
- Offers for staying healthy
- Further extras such as company pension and insurance coverage
Contact
Oleg Chapaykin Expertise Lead oleg.chapaykin@dkb.de Deutsche Kreditbank AG
Want to learn more about DKB? Then visit our career page.
Requirements
- Ein abgeschlossenes Studium der Mathematik, Physik, (Wirtschafts-)Informatik oder eines anderen quantitativen Studiengangs
- Tiefes Verständnis von Machine-Learning-Methoden (v. a. Zeitreihen, Klassifikations- und Regressionsverfahren)
- Fundierte Kenntnisse von AWS, Git, Python, R und SQL
- Prägnante und strukturierte Ausdrucksweise
- Sehr gute Deutsch- und Englischkenntnisse
Responsibilities
- Leistungsfähige Modelle entwickeln, um Customer Lifetime Value (CLV) belastbar zu schätzen und als Steuerungsgröße im Privatkundengeschäft nutzbar zu machen
- End-to-End-Verantwortung für die Entwicklung der ML-basierten Services vom Proof of Concept bis zum produktiven System übernehmen
- Gemeinsam mit Engineering-Kolleg*innen die AWS-basierte Data-Science-Umgebung weiterentwickeln, damit CLV-Modelle schneller, robuster und skalierbar werden
- Mehrwerte deiner Data Science Projekte sowohl den fachlichen als auch technischen Stakeholder*innen überzeugend rüberbringen
- Deine Kenntnisse regelmäßig erweitern und die jeweils besten verfügbaren Methoden für die Modellentwicklung einsetzen
- Deine Erfahrung proaktiv mit deinen Kolleg*innen teilen und so die gemeinsame Weiterentwicklung unterstützen
Benefits
Attraktive VergütungFlexibles und mobiles ArbeitenBenefits PassJobticketJobradModerne Technik-ausstattung und Tool StackIndividuelle QualifizierungsmöglichkeitenDuz-KulturKein DresscodeExterne Mitarbeitenden-beratungAngebote zum GesundbleibenBetriebliche AltersvorsorgeVersicherungsschutz
Skills
AWSGitMachine LearningPythonRSQL
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