Senior Data Scientist – AI, ML, FinTech

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Hypoport SE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

💳 Fintech

🏠 Real Estate

☁️ SaaS

Fintech • Real Estate • SaaS

Hypoport SE is a publicly listed parent company that operates a network of technology firms serving the FinTech, PropTech and InsurTech sectors. It provides platforms and software-enabled services that connect lenders, brokers, insurers and other financial and real-estate market participants, while promoting agile, self-organized workplace culture and digital, activity-based offices. Hypoport positions itself as a growth-focused technology network enabling B2B platform solutions and talent development across its group companies.

📋 Description

• 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

• 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

• 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!