Senior Data Scientist – AI, ML, FinTech

Hypoport SE

Data Scientist developing ML models to support decisions in Ratenkredit business. Collaborating with data teams and evolving AI capabilities within a dynamic FinTech environment.

Posted 7/23/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning models in production environments, with a strong focus on translating business needs into effective AI solutions. Proficient in Python and familiar with MLOps, while ensuring data protection in regulated environments.

Highest-signal resume keywords

Production ML ExperienceProficient in PythonMLOps ExperienceExperience with LLMsData Responsibility in Regulated Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive AnalyticsArtificial IntelligenceModel EvaluationModel DeploymentData ScienceIterative ImprovementBusiness Process TranslationLarge Language ModelsGenerative AI

Soft Skills

Independent WorkEffective PrioritizationCollaboration

Industry Keywords

FinTechBankingRegulated EnvironmentData Protection

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Machine learning in the credit process: You develop machine learning models that directly support decision-making in the consumer installment loan business.
You use modern methods from data science, predictive analytics and artificial intelligence (AI).
AI product features (nice to have): Ideally you help build initial AI features and LLM-based applications that are integrated into our digital installment loan processes.
Collaboration with data and product teams: You work closely with Data Engineering, Product Management and Data Analytics and use our existing data foundation to develop scalable ML solutions.
End-to-end responsibility: You take ML models from concept through development, evaluation and deployment to production readiness and continuous optimization.
Further development of our AI capabilities: You bring in new approaches from machine learning and artificial intelligence and support the advancement of our data-driven products and use cases.

Requirements

What you’ll need

Production ML experience: You have several years of experience developing and operating machine learning models in production systems.
Ideally you also have experience with MLOps.
Solid ML stack: You are proficient in Python and common machine learning frameworks and can handle training, evaluation and iterative improvement of models in production environments.
Experience in real product environments: You understand the challenges of production systems and can combine technical, business and data requirements.
Translating business into ML: You can translate complex business processes into meaningful machine learning applications, models and features.
Initial experience with LLMs: Ideally you have practical experience with large language models (LLMs), generative AI or integrating these technologies into applications and want to further expand this knowledge.
Structure & ownership: You work independently, prioritize effectively and reliably drive data science and ML initiatives to production.
Data responsibility in regulated environments: You are conscious of data protection and the handling of sensitive data, ideally in a FinTech, banking or other regulated environment.
Language skills: You have German language skills at least at C1 level, both written and spoken.

Benefits

Comp & perks

Work–life balance: We offer flexible working hours to help you balance professional and private commitments.
Full remote: Office or fully remote—both are possible.
Self-organisation: We don’t have traditional hierarchies; we work with holacracy.
Cross-functional: Business analysts, developers, UX designers and key-account managers work side-by-side to simplify installment lending.
Team play: Genuine collaboration within the team and friendly colleagues.
Respect: Mutual respect and appreciation as well as a high level of social competence.
Agile: Agile ways of working are a core part of how we operate.
Modern office in the heart of Berlin: Modern hardware, ergonomic workstations, fitness area, free drinks, fruit and snacks.
No dress code: Come as you are!