Top Data Science Jobs in Germany

Leads the vision, strategy, and execution of AI-powered data and analytics capabilities for Medical Affairs. Oversees patient journey analytics, advanced segmentation, stakeholder evaluation, data architecture, governance, and AI automation frameworks. Evaluates external innovations, builds proprietary solutions, manages analytics delivery teams, and advises senior leadership on data investments, innovation roadmaps, compliance, ethics, and competitive advantage.

Leads the global digital operations and product management portfolio across transportation, supply chain planning, fulfillment, and operational visibility. Owns product roadmaps, investment decisions, delivery, adoption, and continuous improvement while partnering with supply chain, engineering, data science, BI, architecture, ERP, and technology teams. Develops applied AI and machine learning use cases for operational challenges, manages an international team, and drives measurable business value across global distribution operations.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

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.

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.

Lead Redcare Pharmacy’s retail pricing strategy across its e-commerce platform, marketplace, and own-brand business. Drive scientific and dynamic pricing through experimentation, modeling, validation, and real-time decision logic. Balance profitability, revenue, and customer price competitiveness while aligning Commercial, Controlling, Procurement, Data & AI, Tech, and Product stakeholders. Lead and develop a team of 9+ pricing professionals and represent the function with senior leadership and the Board.

Leads the Data Tribe, mentors team leads, and drives data-enabled business value across the company. Establishes data management, governance, integrity, and engineering guidelines; consults on data-driven practices; manages data infrastructure and analytics; supports ICT operations; and serves as Data Protection Coordinator for Engineering.

Own product strategy and execution across consumer rewards, mobile publisher platforms, adtech monetization, marketplace economics, and experimentation. Lead improvements to user engagement, SDK and API integrations, attribution, fraud prevention, pricing, ranking, measurement, and publisher reporting. Partner with engineering, data science, advertisers, and major publishers to launch scalable products, optimize revenue and margins, and make data-driven decisions on experiments.

Leads and grows a six-person Decision Science and Data Science team supporting support-agent tooling. Owns support-quality measurement, experimentation standards, analytics, and production machine learning. Develops team members, shapes strategy and roadmaps, and partners with Product, Engineering, Design, Support Operations, and Vendor Management to improve help resolution quality and operational outcomes.

Leads and grows a distributed EU-based AI and Machine Learning team, managing Data Scientists and Machine Learning Engineers. Responsibilities include line management, coaching, performance reviews, team culture, delivery processes, engineering quality, CI/CD, cloud automation, monitoring, architecture discussions, process improvement, and cross-regional stakeholder collaboration. The role partners with AI leadership on technical, organizational, and HR matters.

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.

Lead a pod of data scientists (25%) while spending most time (75%) developing, validating, and deploying ML algorithms from sensor and imaging data for clinical decision support. Drive technical standards, production-quality code, cross-functional validation with engineers and clinicians, and contribute to Data Science leadership and regulatory readiness.

Advise C-level life sciences and healthcare executives on AI and data strategies, lead large-scale digital transformations, develop client relationships, generate consulting business, oversee major client portfolios, and guide cross-functional teams in designing, implementing, and scaling AI and data solutions.

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.

As a Software Engineering Consultant at Netlight, you'll work on digital projects, shaping software products and solutions while defining your career path and collaborating with a dynamic team.

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.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

Manage strategic partnerships and maritime defence programmes, driving complex projects from engagement to delivery while collaborating with government and industry stakeholders.

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

Fully funded three-year postdoctoral fellowship focused on developing and improving scientific services for research infrastructures. Fellows conduct technology-development projects aligned with EMBL research areas, receive training in infrastructure operations and management, and build professional networks through secondments and job shadowing. Projects may involve computational science, imaging, optical engineering, robotics, mechanics, biotechnology, or omics. Applicants must hold or have defended a Ph.D. by September 30, 2026, possess relevant STEM training and technology-development experience, and demonstrate strong research potential.

Lead and develop a team of Data Scientists and ML Engineers building production machine-learning systems for logistics. Drive AI adoption, roadmap prioritization, agile execution, and measurable business outcomes. Partner with Product Managers, Staff ML Engineers, and the MLOps platform team to deploy scalable solutions. The role requires deep hands-on experience with production ML, recommender systems, pricing algorithms, statistical models, and modern data and AI technologies, alongside strong people leadership and executive communication skills.

The role focuses on providing on-the-job training alongside classroom education in Data Science and Artificial Intelligence over three years, culminating in a degree. It includes an internship, language and IT training, and development of personal and leadership skills.