Top Data Science Jobs in Berlin

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

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.

The Associate Partner will advise C-level executives on AI and Data strategies, lead digital transformations, and develop client relationships in Life Sciences, while driving innovation and overseeing project delivery.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

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.

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.

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.

As the Director of Product Marketing, you will lead the strategy for positioning, pricing, and packaging products while managing a team and collaborating cross-functionally to increase user acquisition and engagement.

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

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.

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.

As a Senior/Staff Product Manager, you will drive the strategy and execution for the marketplace, enhancing partner experiences and collaborating with cross-functional teams to optimize product offerings.

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.

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.

Lead product development of Zalando's pricing platform by defining vision, prioritizing problems, and driving delivery with engineering, operations research, and data science teams. Build forecasting and optimization infrastructure to recommend prices across hundreds of thousands of items, communicate complex quantitative topics to stakeholders, and measure commercial impact.

Lead a team of 4–6 Decision and Data Scientists to own and scale marketing measurement: attribution, MMM, LTV modelling, experimentation, and long-term effect measurement. Build repeatable, self-service analytics using AI and modern tooling, act as hands-on senior sparring partner for complex projects, and partner cross-functionally to turn models into budget and marketing decisions.

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.

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.

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.

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 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.

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.