Top Data Science Jobs in Munich

The AI Deployment Strategist will drive AI adoption and deployment in industrial enterprises, collaborating with clients to design AI roadmaps, integrating AI into workflows, and ensuring customer success while navigating IT compliance and security constraints.

Support methodology and product development for transition risk analytics; manage client data deliveries and bespoke projects; perform quantitative and qualitative climate impact analysis across asset classes; support sales, advisory, report writing, and operations; collaborate globally within the Climate & Nature unit to develop transition-related products.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

Lead the acquisition strategy for iwoca in Germany, driving growth through data and technology. Manage a cross-functional team to optimize onboarding and engagement with SMEs.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

This dual study program in Business Informatics includes practical and theoretical training, working independently on SAP topics, and support from mentors throughout the studies.

As a Customer Impact Engineer, you manage customer integration projects, optimize production processes, and create scalable AI solutions for enterprise clients.

Lead end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

The Account Executive will leverage technical expertise in enterprise SaaS sales to drive revenue growth, build partnerships, and represent Neural Concept's technology in engineering sectors.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

Assess small-business credit applications using multiple data sources and a tech platform to make fast, fair, and accurate decisions. Provide autonomous decisioning that grows with experience, support colleagues on complex cases, and work with analytics to optimise lending approaches. Interpret financial statements, evaluate risk and revenue drivers, and apply practical, data-driven solutions in a fast-paced environment.

Assess SME credit applications using company data and tech platform, make autonomous data-driven lending decisions, support complex cases, work with analytics to optimise credit strategy, and continuously improve processes.

Assess credit applications using multiple data sources and a tech platform to make fast, fair decisions. Grow decisioning autonomy, support peers on complex cases, and collaborate with analytics to optimise lending models and processes.

5-6 month internship building data and experimentation logic for B2B customer experience. Model customer journeys, define adoption KPIs, implement data models in Planhat and BI, design trigger-based digital interventions, run experiments, and collaborate with operations, product, and infrastructure teams to measure impact.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

Design, develop, and deploy production-grade ML and AI solutions including LLM fine-tuning, RAG architectures, NLP pipelines, time-series forecasting, supplier risk and anomaly detection, scalable data pipelines, and RESTful integrations with enterprise systems.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.