Top Data Science Jobs in Munich

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.

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

Lead the end-to-end search experience: improve relevance, discovery, ranking, and UX across platforms. Collaborate with data science/ML to define metrics and experiments, prioritize a roadmap, and optimize search infrastructure, autocomplete, filters, and zero-results handling for complex health-related journeys.

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

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.

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.

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.

Lead end-to-end IS projects across EMEA to deliver digital solutions that improve commercial, marketing, market access, and supply chain processes. Manage system administration, vendor relationships, user support, GxP compliance and CSV activities, documentation, audits, and change adoption while collaborating with global and regional stakeholders.

Netlight Talent Day invites tech-master graduates (2026/2027 or already graduated) to a one-day event with interviews, networking, and insights into IT consulting. Successful candidates can begin consultant roles across software, data/AI, cloud, DevOps, cybersecurity, UX, product and project management, building products and client solutions while receiving mentoring, coaching, and career development.

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

Design and implement quantitative and qualitative assessment frameworks for irregular warfare and information operations. Apply operations research, statistical modeling, and data science (including AI/ML) to analyze operational and social media data, validate analytical models, quantify uncertainty, and produce visualizations and briefings to inform senior military decision makers. Coordinate assessment activities across joint and service components and document methodologies and lessons learned.

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.

Lead a team building Owkin's agentic AI Scientist for drug discovery by applying multimodal omics and ML to discover targets, biomarkers, and disease subtypes; collaborate with biologists, engineers, and partners; shape platform capabilities, publish results, and grow a high-performing research team.

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

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.