Top Data Science Jobs in Berlin

Leads strategic R&D engagements from presales through delivery, translating scientific and business challenges into AI architectures, product backlogs, MVPs, simulations, integrations, data pipelines, and production solutions. Builds trusted relationships with R&D executives, scientists, engineers, and technical teams; assesses data, compute, feasibility, value, staffing, and delivery plans. Develops reusable architectures and playbooks, oversees technical workstreams, evaluates emerging AI capabilities, and provides feedback to shape Microsoft Discovery products and scalable industry solutions.

Chief of Staff to the VP of Data Science & Analytics, responsible for strategic planning, reporting cycles, operational governance, leadership coordination, cross-functional initiatives, events, and team engagement. The role drives execution of data strategies, supports AI workflow integration, facilitates decision-making, manages recurring programs, and improves operating processes across a 300-plus-person function.

Leads the Payments Intelligence analytics team, managing Analytics Engineers, Data Scientists, and Decision Scientists. Sets team direction, supports growth, builds scalable data products, and drives high-quality, data-informed decisions. Partners with Product, Engineering, Business, Compliance, and Finance stakeholders, while providing technical guidance, resolving ambiguity, and connecting data and technical strategy to business goals.

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.

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.

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.

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 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.

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 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.

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.

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 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.

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.

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