Top Data Science Jobs in Germany

Design, implement, and test automation and robotic systems for machine vision and industrial applications. Develop embedded product designs and manufacturing processes, collaborate with R&D team, analyze test data, and maintain inspection and maintenance plans.

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.

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.

As Senior Manager of Data Operations, you'll lead a team overseeing global curators, optimize workflows, and drive automation with AI while ensuring quality and efficiency.

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.

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.

As part of a dual study program in Applied Computer Science, students will gain hands-on experience in mathematics, IT security, and software engineering while participating in various projects and contributing to digital initiatives.

The program offers a comprehensive education in electrical engineering and computer science, focusing on digital transformation, IoT, and data science, with practical project involvement.

This apprenticeship involves training in Data Science and AI, focusing on Informatics, data analytics, project management, and IT security while fostering creativity and communication.

Lead research on tabular foundation models: invent new methods and tooling, set research direction, build real-world benchmarks and datasets, implement baselines, and create automated agentic pipelines with human-in-the-loop to scale evaluation and production use.

Lead and grow a data science team while personally designing, training, deploying, and owning production ML models powering AI search. Research and ship novel algorithms to reverse-engineer LLM behavior, own the full ML lifecycle, architect scalable data and model systems, and write and review production-grade code to ensure reliability and high impact.

The Senior Scientist, Data Science will lead data-driven and AI-based projects, developing ML models and MLOps workflows in the life sciences field.

Lead and grow the Data Science team owning the real-time bidding algorithm, combine hands-on modeling with people leadership, architect and deploy large-scale ML systems, run experiments and A/B tests, and align model work with product and infrastructure priorities to drive ad monetization and business outcomes.

Lead a cross-functional team of Data Scientists, MLOps Engineers, and Product to deliver horizontal data and ML products (including LLM-based systems). Own roadmap, hiring, performance, operationalization, adoption, and production reliability. Drive stakeholder partnerships, raise production quality standards, and balance exploration with scalable, business-impacting solutions.

Conduct PhD research on wearable intelligence, multimodal data fusion, and edge AI. Develop on-device processing, compact micro-LLMs, and privacy-preserving personalization systems; collaborate with academia and industry to build prototypes, publish findings, and support education-focused AI applications.

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

Provide data-driven insights and decision support for customers using data analysis, model configuration, tuning, simulations, and visualization. Support pricing and cognitive solutions, present findings, define success metrics, adhere to ITIL support processes, and travel to customer sites (~10%).

Lead and mature the analytics and data science function: hire, coach and develop data professionals; integrate AI into workflows; manage the data roadmap and deliver measurable business impact; collaborate with engineering and business teams; prioritize high-impact marketplace optimization, modeling, and experimentation initiatives.

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.