Senior Data Scientist - AI AML Engineering

Team Overview The AI AML Engineering Squad at SumUp works at the intersection of machine learning and financial crime prevention. The team builds data products and machine learning systems that help keep SumUp's transaction monitoring effective and compliant in 37 countries. Senior Data Scientists here oversee the models, pipelines, and risk scoring that flag and escalate suspicious activities, always with a focus on regulatory standards. What You Will Do Develop, maintain, and improve machine learning models and batch training pipelines for anti-money laundering (AML) transaction monitoring, focusing on detection accuracy, operational efficiency, and regulatory compliance. Design and engineer features for the Feature Store, using AML typologies and suspicious behavior patterns. Work closely with AML investigators to turn domain knowledge into alerting logic and set thresholds. Run sensitivity analyses on synthetic datasets. Prepare governance materials like model cards and ensure documentation meets audit standards. Own the AML Risk Score: analyze what drives it, monitor changes, conduct back-testing, and suggest improvements to features, logic, and thresholds. Work with AML Operations, Product, and Engineering teams to turn stakeholder needs into practical, scalable data science solutions. Track and improve detection performance metrics, adjust solutions for regional compliance, and contribute to system design documentation. What We Look For Advanced Python skills, including hands-on data engineering experience and a background in building production-ready machine learning workflows. Expertise in feature engineering and unsupervised machine learning. Ability to translate domain knowledge into model behaviors and alerting logic. Experience deploying machine learning applications and managing end-to-end pipelines (monitoring, versioning, rollback), especially in regulated settings. Location This position is based in Berlin, Germany.

Role overview Delivery Hero SE seeks a Senior AI Scientist for the Vendor Data Team in Berlin. This role centers on Agentic AI, with a focus on enhancing how vendor data supports the company’s operations. What you will do Create AI-driven solutions to improve vendor data processes and capabilities Collaborate with colleagues from various backgrounds to design, build, and refine AI models Use expertise in artificial intelligence to address business challenges and inform important decisions

Join our innovative AdTech data science team as a Principal Data Scientist focused on Vendor Recommendations and AI, and help us enhance customer experiences.At Delivery Hero, you will play a crucial role in supporting the success of numerous restaurants, shops, and local businesses. Your insights will enable vendors to harness advanced tools for operational management, enhancing their visibility and market reach. Each feature you contribute to will create growth opportunities for diverse businesses, fortifying Delivery Hero’s ecosystem.Our AdTech division connects consumers with new culinary delights while allowing our partners to engage potential customers at the right moment. We have crafted a suite of products that deliver advertising solutions to restaurants, aiding them in boosting visibility, improving order conversion, and ultimately driving increased sales across the marketing funnel. Operating in over 50 countries, our AdTech connects ideal advertisers with their target customers millions of times daily. The data science team is pivotal in this growth, enhancing personalization, ranking, relevance, and recommendations.Ownership: Spearhead the design, construction, and deployment of comprehensive AI recommendation systems that yield multi-million-euro business results for the vendor sector.NBA Framework: Manage the architecture and modeling to establish the best sequence and timing of actions (e.g., ad recommendations, promotional offers) to optimize vendor success metrics.Time-Series & Forecasting: Direct vital initiatives in advanced time series modeling for demand forecasting, vendor projections, and analyzing long-term vendor trends.Commercial Insights: Serve as the technical authority for take rate optimization, utilizing statistical rigor and causal methodologies to evaluate the impact and efficiency of vendor-facing pricing and ad tech strategies.Cross-Functional Collaboration: Be the lead technical partner for Product, Engineering, and Commercial teams to validate business hypotheses and align on the recommendations strategy.

Join our dynamic Platform tribe at SumUp, where your expertise will help us create an innovative self-service, AI-Ready Data Platform. Our Data Platform team plays a crucial role in supporting our ambitious ventures into Data, AI, and real-time analytics. We are committed to building robust and scalable infrastructure that empowers our global data community.Your ResponsibilitiesDesign and sustain an exceptional data infrastructure that underpins vital processes.Enhance platform self-service capabilities by developing features for ETL and orchestration.Streamline processes to maximize compute resource efficiency and minimize costs.Implement automation solutions to ensure our infrastructure's availability around the clock.Participate in the design and rollout of new services within our platform ecosystem.

About UsAt reliant-ai, we are dedicated to transforming decision-making in an age of overwhelming information. Our mission is to develop the next generation of machine learning software, leveraging generative AI to analyze critical data sources and deliver comprehensive, factual answers to complex inquiries.We believe that the true potential of generative AI can only be achieved by tackling the world's most significant information challenges. With over two decades of expertise in reinforcement learning and natural language processing, we are poised to make a substantial impact in this field.Our team consists of scientists, builders, and entrepreneurs who have pioneered some of the most influential AI applications. Having led teams at industry giants like Google, DeepMind, and EY Parthenon, we now connect cutting-edge AI research with the biopharma sector.

idealo’s search team helps millions of users each day find and compare products and prices across many retailers. The group works to improve how customer queries are interpreted and how results are ranked, with the goal of delivering highly relevant matches. Collaboration and ongoing improvement are central to the team’s approach, as they look for new ways to refine the search experience. The team supports over 40 million customers, giving access to more than 2 billion offers on a platform known for fairness and impartiality in B2C e-commerce. Search response times are kept under 100 milliseconds. The team consists of seven colleagues who value autonomy and trust, each contributing their strengths to solve challenges. Both full-time and part-time arrangements are possible for this role. What you will do Work with Product Management, Engineers, and Analysts in a cross-functional setting to improve the customer experience using data-driven insights. Analyze large and complex datasets to uncover patterns, trends, and opportunities, always considering business impact and customer value. Collaborate with Product and other stakeholders to clarify problem statements and turn business needs into clear analytical questions and hypotheses. Design, run, and interpret experiments such as A/B tests, applying causal inference to guide decisions. Contribute to solution design and assess impact, ensuring insights translate into practical actions. Develop dashboards, define KPIs, and track performance to make progress visible and measurable. Identify where data can add value and highlight areas where more data or improved tracking is needed.

At Pipedrive, we recognize that exceptional products are the result of exceptional people. Our team embodies our core values, and we prioritize these in our hiring process. Since our inception in 2010, we have been dedicated to empowering sales and marketing teams with intuitive, robust tools that streamline daily operations. Today, our cloud-based platform is trusted by over 100,000 businesses across 179 countries. From a humble beginning of just five individuals, we have expanded to a diverse, global workforce of over 850 professionals from more than 50 nationalities, with ten offices across Europe and the U.S. In 2020, we celebrated a significant milestone when Vista Equity Partners, a leading global investment firm focused solely on enterprise software, data, and technology-enabled companies, became our majority investor, placing Pipedrive among Estonia's elite unicorns.We are currently seeking a Principal AI/ML Scientist & Engineer to spearhead a dynamic team of Applied Scientists and AI/ML Engineers. This role is ideal for a pragmatic "Builder-Scientist"—a technical leader with a rigorous scientific background who is also passionate about delivering data products that captivate our customers. You will define the technical roadmap for AI/ML solutions that harness the potential of both structured and unstructured data, effectively bridging the divide between cutting-edge research and production-ready systems. Your success will be measured by your technical leadership, the leverage you provide, and the tangible business results you drive.

About the Role almedia is looking for a Founding Data Scientist to help define and build its data strategy in Berlin. This early team member will work directly with leadership to turn complex datasets into actionable insights and shape the direction of product development. What You Will Do Analyze and interpret large, varied datasets to inform business and product decisions Collaborate closely with founders and engineers to design data-driven features Develop models and tools that improve and expand company offerings Who Will Succeed Enjoys the challenges and pace of an early-stage startup Brings hands-on experience in data science and a drive to see ideas through from concept to impact Wants to play a key role in building something new from the ground up This is a chance to have a direct influence on almedia’s future and set the foundation for a data-driven culture.

Join our dynamic team as a Senior Data Scientist specializing in Search Engine technologies. This role is pivotal in enhancing our search capabilities, using advanced analytics and machine learning to drive user engagement and optimize search results.You will collaborate with cross-functional teams to design and implement innovative solutions that enhance our product offerings. Your expertise will be crucial in analyzing large datasets and deriving actionable insights to improve overall performance.

Join Our Dynamic AI Team:At SumUp, a leader in the fintech space, we are dedicated to providing an unparalleled customer experience. Our Global Operations team seeks a talented and enthusiastic Data Scientist to enhance our AI initiatives. You will play a pivotal role in developing models that directly impact customer interactions and the overall efficacy of our AI products.In this position, you will engage in the design, testing, and implementation of advanced machine learning and AI models. Your efforts will bolster our customer support framework by pinpointing areas for improvement and customizing experiences to meet merchant requirements.Your collaboration with diverse teams—including analysts, ML engineers, and product managers—will be essential in translating business objectives into actionable, measurable ML solutions. Your work will shape the future of our customer support, enabling SumUp to remain a customer-centric organization.

Your RoleDevelop, test, and deploy models that enhance Peec AI's recommendations, enabling customers to improve their visibility in AI-driven searches.Create algorithms to derive actionable insights from AI search behaviors, delivering data-informed suggestions that elevate brand visibility in AI search.Manage the complete model lifecycle from research to production, collaborating closely with engineering to seamlessly integrate machine learning solutions into our systems.Design and implement robust data pipelines to ingest, process, and analyze extensive datasets.QualificationsDemonstrated backend development expertise in Python, with experience in building APIs, data pipelines, or machine learning infrastructure, and familiarity with tools such as FastAPI, Docker, and cloud platforms (preferably GCP).A profound interest in understanding how LLMs function, with the capability to reverse-engineer AI search behavior and translate findings into actionable product features.A proven ability to transition projects from research to production in a fast-paced startup environment, showcasing strong problem-solving skills and adaptability in addressing ambiguous and evolving challenges.Exceptional communication skills, capable of articulating complex technical concepts to both customers and stakeholders.Our Data Science StackLanguages: Python, SQLLibraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNXBackend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQueryAI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.Bonus PointsContributions to open-source projects.Deployment of side/hobby projects.

About zenjob zenjob connects companies with temporary workers through an AI-powered staffing platform. Since 2015, zenjob has helped businesses instantly book staff and enabled students to find part-time jobs that fit their academic schedules. The platform serves over 40,000 students and 1,000 partner companies in logistics, retail, and hospitality across major German cities. The team believes that advanced technology and genuine commitment lead to great work. Role Overview: Data Scientist The Data Scientist will analyze and optimize marketplace performance while uncovering talent behavior from first engagement through long-term retention. This role sits within a centralized Analytics & Data Science team, working closely with Marketing, Sales, Product & Engineering, and Operations. The main goal: define clear metrics, build reliable data models, and turn complex analysis into business decisions that drive results. Main Focus Areas Marketing Effectiveness: Study the impact of different channels and campaigns on growth. Talent Lifecycle: Explore user behavior from acquisition and activation to retention and lifetime value. Marketplace Performance: Examine how supply and demand interact on the platform. Your Responsibilities Define and maintain key metrics across the marketplace and user lifecycle, using reliable dbt models trusted by all teams. Build self-service dashboards, reporting layers, and playbooks that make data more accessible and actionable for internal teams. Develop attribution and measurement models (such as multi-touch attribution, data-driven attribution, and Marketing Mix Models) to assess channel effectiveness in acquisition and engagement. Model talent behavior with a focus on conversion, retention, and Customer Lifetime Value to support sustainable marketplace growth. Design and evaluate experiments (including A/B tests and incrementality tests) to measure the causal impact of marketing and product changes.

Join our team at billie as a Senior Data Scientist, where you will leverage your expertise in data analysis and machine learning to drive innovative solutions. You will work closely with cross-functional teams to develop data-driven strategies that enhance business performance. Your role will involve designing and implementing robust data models, analyzing complex datasets, and presenting actionable insights to stakeholders.

Delivery Hero is looking for a Senior Python AI Engineer to focus on logistics, data, and machine learning projects in Berlin. This position centers on developing AI-powered tools that support and improve delivery operations. Role overview This role involves designing and building applications using Python, with a strong emphasis on artificial intelligence and data science. The main goal is to create solutions that make logistics processes more efficient and help raise customer satisfaction. What you will do Develop and maintain AI-driven applications tailored for logistics challenges Apply machine learning techniques to optimize delivery workflows Work closely with teams to identify and solve data-related problems Requirements Extensive experience with Python Background in artificial intelligence, data science, and machine learning Ability to build solutions that improve operational efficiency

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.

GetYourGuide helps travelers discover and book memorable experiences around the world. The company’s platform is trusted by millions seeking unique activities, with a mission to make every trip more rewarding. The Berlin office serves as a hub, with additional locations in New York and Bangkok. For more about working at GetYourGuide, visit getyourguide.careers. Team focus: Growth Data Products The Growth Data Products team transforms raw marketing data into reliable insights and automated systems. Their work supports all growth channels, such as paid and organic search, display advertising, CRM and lifecycle marketing, brand marketing, marketing attribution, experimentation, and customer lifetime value measurement. By delivering actionable intelligence, the team empowers others at GetYourGuide to make quick, informed decisions in support of the company’s mission. What you will do Lead data product projects from concept and data validation through deployment, automated triggering, and monitoring. Evaluate business impact versus technical complexity, choosing between machine learning or simpler approaches as appropriate. Write scalable, well-documented, and unit-tested Python code, optimizing queries and performance through caching and parallelization. Conduct deep analyses, design A/B tests, and create visualizations to inform product strategy and communicate results to stakeholders. Establish monitoring and alerts for key metrics, responding quickly to anomalies to maintain system reliability and service goals. Contribute to team growth by participating in code reviews, sharing knowledge, and shaping the technical roadmap and operational practices. Requirements Practical experience in data analytics, machine learning, and programming, with a strong focus on Python.

Billie builds Buy Now, Pay Later (BNPL) solutions designed for B2B companies. The team aims to make business transactions simpler and more efficient, using proprietary machine learning risk models, digitized operations, and a scalable technology platform. Billie positions itself as a deep-tech company focused on seamless financial products for business clients. Role Overview The (Senior) Data Scientist for Fraud Prevention joins the Decision Science group in Berlin. This role centers on designing and deploying machine learning models to reduce fraud risk, directly supporting Billie's profitability. The work spans the full modeling lifecycle, from hypothesis testing to rolling out production models that analyze debtor behavior and spot new fraud patterns. What You Will Do Develop and execute anti-fraud strategies, setting priorities to deliver high-quality, production-ready models. Apply expertise in quantitative analysis, data mining, and advanced machine learning to model debtor behavior, assess risk, and refine Billie's real-time decision engine. Work closely with data engineers, software engineers, analysts, and product managers to improve decision logic and bring in new data sources. Lead the deployment and operationalization of machine learning services, collaborating with Engineering to define infrastructure needs such as containerization and event-driven systems. Mentor junior team members, supporting a culture of technical rigor, experimentation, and strong coding standards. Translate technical findings into clear, actionable insights for stakeholders, using data storytelling to influence business decisions.

At GALVANY, we are dedicated to transforming climate-neutral living into a reality for all. Our core focus lies in implementing effective solutions such as heat pumps, battery storage, and smart metering, making them accessible, reliable, and affordable. GALVANY-Tech is pioneering the energy transition through innovative software solutions. We are developing an AI-driven Operating System that facilitates the sales, planning, installation, and operation of heat pumps and integrated energy systems, catering to everything from single-family homes to multi-unit buildings, and operating within our Energy Community as a Virtual Power Plant.As a successful green-tech startup, we believe that sustainable impact and long-term growth can only be achieved through a robust business model. We prioritize customer value, transparency, and accountability, standing firmly for top-quality heating solutions and fostering an environment where individuals take charge and create lasting changes.The RoleAs a Senior Data Engineer at GALVANY, you will design and maintain the data infrastructure that supports our AI-based Operating System. You will process real-time energy data from heat pumps and integrated systems, construct data pipelines that empower AI models and analytics, and guarantee the integrity of data across our entire ecosystem—from individual residences to our Virtual Power Plant.

Transform the Travel Experience Become a pivotal part of GetYourGuide, where we connect travelers with extraordinary experiences across the globe. Our commitment to delivering unique activities people can trust empowers millions to embark on unforgettable journeys. Are you ready to make your mark? If you're eager to explore your potential within a community of innovators, consider joining us at our Berlin headquarters or any of our offices worldwide, from New York to Bangkok. Take your first step by visiting getyourguide.careers. Team Mission As part of the Supply Data Engineering team within the strategic Flywheel Data Engineering group, our goal is to establish robust data foundations and self-service capabilities for the supply side of our marketplace. We aggregate, integrate, and structure vital internal and external datasets into trustworthy tables, metrics, and data products, facilitating supplier onboarding, enhancing their success, and optimizing supply operations—all through close collaboration with Supply, Product, and Data teams. Your Mission Own the Data Pipeline: Provide reliable, high-quality data solutions that empower supply decision-making. Act as a Trusted Advisor: Collaborate with Supply, Product, and Data teams to translate business needs into tangible outcomes and promote the utilization of self-service data capabilities. Champion Technical Excellence: Actively manage and enhance the team’s data ecosystem with a long-term focus on architecture, testing, monitoring, performance, and cost efficiency. Enhance Existing Systems: Lead the design of new capabilities and continuously refine deployed systems through strategic refactoring, reliability enhancements, and simplification. Elevate Team Performance: Raise engineering standards through comprehensive code reviews, design contributions, and hands-on support—removing obstacles for fellow engineers and sharing knowledge to enhance team capability. Define Best Practices: Influence technical standards and decisions with an emphasis on simplicity, reusability, and maintainability.

We are seeking a highly skilled Senior Data Engineer to join our dynamic team at repriskag in Berlin. In this pivotal role, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data-driven decision-making processes. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality and accessibility.