Top Data Science Jobs in Munich

Leads the Data Tribe and develops data-driven business value across the company. Responsibilities include establishing data management and governance guidelines, ensuring engineering compliance, advising teams on data-driven practices, mentoring team leads, coordinating data protection for Engineering, and overseeing data infrastructure, analytics, data integrity, and ICT support. The role requires expertise in data science, machine learning, stakeholder management, and data and people project leadership.

Develop GreyNoise’s cybersecurity channel business across Europe by recruiting and activating partners, building joint business plans, enabling partner teams, generating qualified pipeline, and co-selling enterprise and government opportunities. The role manages partner relationships, channel strategy, revenue targets, forecasting, commercial negotiations, partner reviews, technical enablement, demand generation, and cybersecurity event representation.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Lead the data intelligence dimension of Agileday’s AI product by building AI-ready data foundations, predictive and recommendation capabilities, learning systems, feedback loops, and production data pipelines. Partner with founders and product teams to identify commercially valuable opportunities, shape architecture and quality standards, and move solutions from experimentation into reliable customer-facing products.

Leads complex enterprise accounts across the full technical sales lifecycle, delivering demos, pitches, prototypes, and cloud proofs of concept. Partners with C-level stakeholders, mentors Solutions Architects, develops regional best practices, and builds Databricks’ technical presence in the DACH market through workshops, collateral, meetups, and conferences. Requires deep data engineering or data science expertise, hands-on Python and SQL coding, fluent German and English, AI-assisted development experience, and strong public cloud knowledge.

Lead data science and credit risk strategy across Southeast Asia. Build and oversee production machine learning models for underwriting, fraud detection, risk segmentation, and real-time decisioning. Establish credit policies, monitor portfolio performance, lead stress testing, and support responsible market expansion. Build and mentor data science and risk teams while partnering with engineering, product, finance, and executives to improve approvals, defaults, time-to-decision, and unit economics.

Develop and demonstrate Physical AI solutions on NVIDIA and hyperscaler platforms. Advise customers and partners, optimize GPU-accelerated training and inference pipelines, conduct proof-of-concepts, and collaborate with Engineering, Product, Sales, and Marketing teams. Build technical relationships, gather customer feedback, support enterprise architecture integration, and evangelize accelerated computing and generative AI to developers, researchers, executives, and technical leaders.

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 technical discovery, solution design, demonstrations, and proof-of-concept support for Anaconda’s AI and data science platform across EMEA. Partner with account executives on complex deals, create reusable technical content, represent customer needs to product and engineering, and coordinate with cross-functional teams through implementation handoff. Manage multiple opportunities independently while improving technical win rates, deal expansion, sales velocity, and regional pipeline development.

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.

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 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.

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.