Lead Principal Data Scientist - AI & Vendor Solutions

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…

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

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.

Transform the Travel Experience Embark on an exciting journey with GetYourGuide, where we strive to connect adventurers with remarkable travel experiences across the globe. Our dedication ensures that millions rely on us for unique and trustworthy activities, making every journey unforgettable—just like yours! Are you prepared to unlock your potential within a vibrant community of explorers? Discover your next opportunity at our Berlin headquarters or in one of our local offices worldwide, from New York to Bangkok. Visit getyourguide.careers to start your adventure. Our Team's Mission The Accounting Operations Team encompasses Procurement and Accounts Payable, dedicated to ensuring financial accuracy and operational efficiency. We uphold the highest standards of compliance, accuracy, and continuous enhancement in all processes. The Vendor Master Data Analyst role is pivotal within Procurement, focusing on the management and upkeep of vendor master data in our systems and ERP (SAP). This position is crucial for maintaining data integrity, processing vendor requests, and supporting procurement operations. The ideal candidate should exhibit meticulous attention to detail, superior organizational capabilities, and a collaborative spirit to work with cross-functional teams. Your Key Responsibilities Maintain and update vendor master data records in adherence to company policies and procedures. Ensure the accuracy and completeness of vendor information, including banking details, contact information, and tax identification numbers. Process new vendor setup requests and modifications promptly while ensuring compliance with internal controls and external regulations. Partner with procurement and other departments to enhance the Procure-to-Pay (P2P) process. Analyze vendor data insights to initiate projects aimed at improving data quality and governance, identifying gaps, defining standards, coordinating adjustments with stakeholders, and documenting updated processes. Implement corrective actions and preventative measures during vendor onboarding and maintenance.

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.

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 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.

Join Intercom as a Principal Engineer focusing on our Fin AI Agent, where you'll play a crucial role in shaping the future of financial technology. You will lead the design and development of AI-driven solutions that enhance customer engagement and streamline financial processes.

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.

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.

About Parloa Parloa is dedicated to transforming customer interactions into seamless experiences. As the demand for agentic AI grows, our team is at the forefront of redefining customer support, ensuring that every interaction is not just a transaction but a meaningful exchange. With the power of AI, we have facilitated over one billion interactions for leading global brands like IKEA and Booking.com, implementing our solutions at scale. About the Role: We are looking for a Principal Applied Scientist who will spearhead our applied AI strategies, focusing on AI agents and Generative AI. This role is both hands-on and impactful, bridging the gap between research and production. You will explore, validate, and enhance methodologies that directly influence our products, including model evaluation, agent behavior, and context engineering. You will also define the metrics for measurement and improvement across the industry. In addition to execution, you will serve as a technical leader, identifying opportunities and building a robust framework for applied science at Parloa. Areas of Ownership: Define and lead applied AI initiatives focused on agent systems, LLM evaluation, and model optimization. Manage ambiguous problem spaces end-to-end: from conceptualization and experimentation to real-world impact. Design and implement evaluation & benchmarking frameworks, challenging existing industry standards and creating new benchmarks where necessary. Drive innovation in agentic systems, including routing, memory, and context engineering. Prototype and validate new methodologies, such as model combinations and fine-tuning strategies. Translate research into production-ready solutions in close collaboration with engineering teams. Act as a technical authority, mentoring team members and establishing best practices. Establish and lead the Applied Science guild, promoting knowledge sharing and elevating standards across teams. Influence product and technical strategy, pinpointing how applied science can drive maximum value. Who You Are: 12+ years of experience in applied science or a related field. Proficient in AI agent technology and generative models. Strong problem-solving skills with a passion for innovation. Exceptional leadership and mentoring abilities. Ability to collaborate effectively across teams.

Join 1global as a Team Lead in AI Engineering, where you will spearhead innovative projects and lead a team of talented engineers. Your expertise will drive the development of cutting-edge AI solutions that enhance our services and create lasting impact. Collaborate with cross-functional teams to define project goals, manage resources, and ensure timely delivery of high-quality results.

At Enpal, we are more than just a company; we are a pioneering movement. As a prominent greentech unicorn and one of Europe’s fastest-growing energy providers, our mission is to make solar energy accessible and simple for homeowners throughout the continent. Our forward-thinking business model for solar panels, heat pumps, home energy storage solutions, and EV charging stations is transforming the residential energy landscape. We empower homeowners to adopt clean energy, setting the stage for a sustainable and decentralized energy future.As the foremost leader in residential solar, Enpal is advancing its next venture: Enpal Energy, our platform designed for the management, optimization, and orchestration of millions of distributed energy assets. This includes the development of Europe’s largest Virtual Power Plant (VPP), which connects solar systems, batteries, heat pumps, and EV chargers to actively stabilize the grid and create new revenue opportunities for our customers.We envision a bold future: to be the cornerstone of Europe’s shift towards distributed, intelligent, and clean energy generation.We are in search of a Data Scientist to enhance our expanding Energy Data Science team. Your contributions will directly influence energy trading decisions within one of Europe's largest residential energy communities, having a tangible impact on our participation in the energy market. This role is tailored for a proactive data scientist with robust software engineering skills and experience across the entire data and ML stack.Key ResponsibilitiesDevelop, research, and implement time series forecasting models for energy markets (including load, generation, and weather forecasting), managing the complete lifecycle from data exploration and feature engineering to model training, evaluation, deployment, monitoring, and retraining.Enhance our MLOps infrastructure by contributing to experiment tracking, model versioning, automated retraining pipelines, and production observability.Effectively communicate forecasting performance and model insights to trading and product stakeholders, bridging the gap between technical results and business impact.Collaborate intimately with Data Engineers, Software Engineers, and Product teams to produce well-engineered, reliable data science solutions.Play a pivotal role in shaping our data science roadmap and contribute to innovative forecasting methodologies.Guide and mentor junior data scientists, fostering a collaborative learning environment.

Join the global leader in language services and technology! In this pivotal role, you will focus on forging new business relationships and acting as a strategic partner within the AI Solutions group (DataForce). As a rapidly growing sector, DataForce provides high-quality data for Human-Machine Interaction to some of the most prestigious technology firms globally. Our team specializes in gathering, enriching, and processing training data for Machine Learning across various AI domains.DataForce is part of the TransPerfect family, the world’s largest provider of language and technology solutions for businesses with a presence in over 100 cities worldwide. We are on the lookout for talented individuals globally.Key Responsibilities:Identify and research potential clients to understand their business and technical requirements.Qualify and quantify opportunities for business growth.Lead the entire sales process from lead generation to closure.Ensure customer success and satisfaction.Draft and implement strategic business plans.Stay updated on industry trends and become a subject matter expert on our products.Utilize TransPerfect’s CRM system to track business opportunities.Collaborate with production and technology teams across diverse time zones and cultures.Generate and manage high-value business deals.Monitor KPIs and provide status reports to stakeholders, including updates on account health and opportunities.Participate in tradeshows and support marketing initiatives through contributions to case studies and social media.Provide accurate forecasts and daily updates.Assist in budget planning and ensuring adherence to financial health in client engagements.Manage stakeholder communications effectively.Facilitate technology adoption and training for internal and client teams.

At Intercom, we are revolutionizing customer service with our AI-driven solutions. Our flagship AI agent, Fin, empowers businesses to provide exceptional customer experiences by offering seamless, always-on support. Fin integrates with our Helpdesk to form the comprehensive Intercom Customer Service Suite, designed to tackle complex queries that benefit from human touch.Founded in 2011, Intercom has gained the trust of nearly 30,000 global businesses by setting new benchmarks in customer service. Our core values drive us to innovate relentlessly, work with agility, and deliver unparalleled value to our clients.Berlin's dynamic environment, rich in technical talent and creative energy, aligns perfectly with our vision. We are excited to expand our team and invite top engineers from around the world to join us in shaping the future of customer communication.As we aim to recruit 100 professionals across various disciplines in Berlin, this is an exceptional opportunity to be part of a pioneering R&D team and make a significant impact in the rapidly evolving customer service landscape.What’s the opportunity?As a Principal Engineer at Intercom, you will spearhead the definition and execution of strategic initiatives within our engineering organization. Your role encompasses building both back-end and front-end systems while collaborating closely with designers, product managers, researchers, and data analysts. You will also mentor fellow engineers and work closely with Group Engineering Managers to shape technical strategies and leadership.Discover more about our engineering culture at intercom.engineeringWhat will I be doing?As a seasoned engineer, your responsibilities will include:Leading strategic projects within the R&D organization, utilizing your mastery of domain knowledge.Providing insights on project progress, risks, and challenges to engineering leadership, facilitating effective resource allocation and prioritization.

About UsAt Prior Labs, we are pioneering the development of foundation models designed to comprehend tabular data, which serves as the core of both scientific and business operations. While foundation models have revolutionized text and image processing, structured data has remained largely neglected. We are seizing the opportunity in this $600 billion sector to fundamentally reshape how organizations interact with scientific, medical, financial, and business data.Our Progress: As a global leader in structured data machine learning, our TabPFN v2 model has been featured in Nature, establishing a new benchmark for tabular machine learning. Following its launch, we have enhanced our model's capabilities by over 20 times, achieving more than 2.5 million downloads and over 5,500 GitHub stars, with rapid adoption across both research and industry. We are currently advancing the next generation of tabular foundation models and actively partnering with enterprises globally across Europe and the US.Our Team: Our team comprises over 20 highly skilled engineers and researchers, meticulously selected from a pool of over 5,000 applicants. With backgrounds from top-tier organizations such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, we are led by the creators of TabPFN and receive guidance from esteemed AI researchers, including Bernhard Schölkopf and Turing Award recipient Yann LeCun. Discover more about our team here.What’s Ahead: Supported by premier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are expanding rapidly. Now is the perfect time to join us and help shape the future of structured data AI. Explore our manifesto.Role OverviewAs a member of our data science team, you will work with a revolutionary class of AI models. In the position of Data Scientist at Prior Labs, you will act as a vital bridge between our cutting-edge technology and its practical applications. You will be a super-user of our foundation models, gaining a profound understanding of their capabilities, presenting compelling use cases, and influencing our product roadmap.This multifaceted role will require you to take on various responsibilities and connect different facets of our organization. Here’s how you will make an impact:Power User & Innovator: Engage deeply with our innovative TFMs (such as TabPFN), experiment extensively with unique features like ICL, and discover new applications.

At Almedia, we are redefining the landscape of marketing and user engagement. As one of Europe’s fastest-growing companies, we are on a mission to become Germany’s second bootstrapped unicorn. Our innovative platform rewards a community of over 60 million users for interacting with our advertisers’ products, creating a unique ecosystem for user acquisition.We are seeking talented Data Scientists to join our dynamic team in Berlin, where you will play a crucial role in enhancing our product and data capabilities.In this high-impact position, you will leverage your expertise in hands-on modeling and cross-functional leadership to enable us to better understand user behaviors, optimize incentive structures, and lay the groundwork for scalable, data-driven decision-making.

Transform the Travel ExperienceBecome a part of the GetYourGuide mission to redefine how people explore the world. With millions relying on us for trustworthy and unique travel activities, we are committed to ensuring that every journey is remarkable — including yours!Are you ready to elevate your career amongst a community of passionate adventurers? Explore your next opportunity at our Berlin headquarters or in one of our offices worldwide, from New York to Bangkok. Start your journey at getyourguide.careers.Team PurposeThe Growth Data Products (GDP) team powers GetYourGuide's growth by converting raw marketing data into actionable insights and automated decision-making systems. Our initiatives encompass diverse growth channels including Paid and Organic Search, Display Advertising, CRM, Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value analysis. We enable teams across the organization to make informed decisions swiftly and at scale, transforming data into intelligence that connects millions with unforgettable travel experiences.Your RoleLead the definition, development, and ownership of data products that drive significant revenue across all GDP sectors.Convert growth strategies into actionable technical roadmaps, ensuring alignment among multiple teams and stakeholders around clear business outcomes.Design, implement, and oversee production-level machine learning pipelines using Python and Databricks to enhance bidding, targeting, and personalization strategies.Elevate technical standards by establishing best practices, code quality benchmarks, and robust observability within the data science and engineering teams.Promote a culture of experimentation through A/B testing design, causal-inference analysis, and frameworks for rapid iteration.Enhance customer lifetime value and attribution models to inform multi-million euro marketing investments.Facilitate cross-functional collaboration to ensure that data products deliver measurable business value and strategic impact.Your SkillsetDemonstrated experience as a Staff or Principal Data Scientist (or equivalent) with a track record of delivering cross-functional products that yield substantial business results.Expertise in market growth and marketing analytics with a strong understanding of customer acquisition and revenue optimization.Proficiency in Python, SQL, and modern big data technologies.

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.