Data Scientist Jobs in Berlin, EEA

Wir sind nicht der lokale Stromanbieter um die Ecke. Wir sind das globale EnerTech-Unternehmen, das den Energiemarkt revolutionieren wird. Wir haben kein geringeres Ziel, als die global benötigte Energie 100% nachhaltig zu gestalten. Global, agil und zukunftsorientiert verändern wir den Energiemarkt mit neuer Technologie zum Besseren. Dabei sind unsere Ökostromtarife nur die Basis. Bereits seit 2022 installieren wir Wärmepumpen-Komplettlösungen mit eigenen Fachkräften. Außerdem arbeiten wir aktiv an der flächendeckenden Einführung von Smart Metern, Elektromobilitätslösungen und der eigenen Stromerzeugung aus Wind- und Sonnenenergie. Das schaffen wir allerdings nicht alleine, sondern dazu brauchen wir dich! Werde Teil unseres Teams und fordere den Status Quo heraus. Mit Energie, die gut für den Planeten ist und gut für dein Karma. 💚  Finde jetzt deinen Traumjob und werde Teil der Energierevolution von Octopus Energy Germany. Für unseren Bereich Financial Analytics suchen wir zum nächstmöglichen Zeitpunkt eine*n engagierte*n Senior Data Scientist mit besonderem Fokus auf Credit Risk. In dieser Schlüsselposition trägst du maßgeblich zur Stabilität und Weiterentwicklung unserer Kreditrisikostrategie bei – speziell für den Bereich Energieversorgung mit Strom und Gas. Hier suchen wir eine Person mit fundierter technischer Erfahrung, die Freude am Aufbau von Data-Pipelines hat und sich durch eine eigenständige Arbeitsweise sowie ausgeprägte Ownership-Mentalität auszeichnet.

<p>Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.</p> <p><strong>Deine Rolle</strong></p> <div>Als (Gen) AI & Data Scientist entwickelst du innovative datengetriebene Lösungen und begleitest unsere Kund:innen von der ersten Idee bis zur erfolgreichen Implementierung mit messbarem Business Impact.</div> <ul> <li>Innovative Machine Learning & Advanced Analytics Anwendungen mit Business Impact von der Strategie über den Prototyp bis zur produktiven Lösung</li> <li>Digitale Transformation von Geschäftsprozessen & -modellen mithilfe von Data Science & Analytics</li> <li>Ideation, Co-creation und Rapid-Prototyping in unserer agilen AI-Garage</li> <li>Erstellung und Präsentation von Angeboten und Service Offerings</li> <li>Inhaltliche Weiterentwicklung unseres Portfolios</li> </ul> <p><strong>Dein Profil</strong></p> <ul> <li> <div>Mehrjährige Erfahrung in komplexen, agilen Data Science- und Analytics-Projekten entlang des gesamten Projektzyklus sowie (Teil-)Projektverantwortung in Bereichen wie AI Strategy, AI for Customer Experience oder AI Software Development</div> </li> <li> <div>Fundierte Expertise in der Entwicklung von Technologiestrategien für AI, Analytics und Data Management sowie sehr gute Programmierkenntnisse (z. B. Python, R) und in statistischer Modellierung</div> </li> <li> <div>Erfolgreich abgeschlossenes Hochschulstudium mit quantitativer Ausrichtung (z. B. Statistik, Informatik, angewandte Mathematik) sowie Interesse an datengetriebener Transformation an der Schnittstelle von Strategie und Technologie</div> </li> <li> <div>Ausgeprägte analytische, kommunikative und präsentatorische Fähigkeiten, strukturierte Arbeitsweise sowie sehr gute Deutsch- und Englischkenntnisse</div> </li> </ul> <p><strong>Was du bei uns schätzen wirst</strong></p> <ul> <li>Werde Teil einer international führenden Unternehmensberatung, die durch innovative und wegweisende Projekte, globale Teams und digitales Know-How die Zukunft gestaltet</li> <li>Treibe innovative Transformationsprojekte in zukunftsweisenden Branchen und widme dich visionären und strategischen Entwicklungen</li> <li>Erlebe unser kontinu

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Consumer Group As the name Consumer Group implies, this group is responsible for building and developing Wolt's consumer-facing products. The core mission is to master the user experience while scaling up the platform to enable delivering a mall in a pocket.  About the Consumer Analytics Team The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought. What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes.  If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you. Our humble expectations 5+ years of experience in a Data Analytics or Data Science position Experience working with product funnels and user journeys Proficiency in SQL and Python   Expertise in statistical analysis , including A/B testing using statistical software packages in Python, R, or equivalent for product development (preferably consumer-facing) Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar Relentless pursuit of new ideas, and the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach What we offer The online delivery platform that Wolt is building will offer

Team description The AI AML Engineering Squad sits at the intersection of machine learning and financial crime prevention, building the data products and ML systems that keep SumUp's transaction monitoring effective and compliant across 37 markets. This role carries genuine ownership: you'll be responsible for the models, pipelines, and risk scoring that determine whether suspicious activity is caught, escalated, and documented in a way that satisfies regulators. If you're motivated by technical depth, real-world impact, and the challenge of making ML work reliably in a high-stakes environment, this is built for you. What you'll do Build, maintain, and improve ML models and batch training pipelines for AML transaction monitoring, focusing on detection quality, operational efficiency, and regulatory compliance Engineer Feature Store features mapped to AML typologies and suspicious behaviours, working closely with AML investigators to translate domain knowledge into alerting logic and threshold calibration Run sensitivity tests on synthetic datasets, produce ML governance artefacts such as model cards, and deliver audit-ready documentation to meet regulatory expectations Own and evolve the AML Risk Score by analysing driver contributions, monitoring drift, running back-testing, and recommending improvements to features, logic, and thresholds Partner with AML Operations, Product, and Engineering to translate stakeholder needs into actionable, scalable data science solutions Track and improve detection performance metrics, adapt solutions to regional compliance requirements, and contribute to system design documentation You'll be great for this role if Strong Python skills with hands-on data engineering experience and a proven track record of building reliable, production-grade ML workflows Experience in feature engineering and unsupervised machine learning, with the ability to translate domain knowledge into model behaviours and alerting logic Proven ability to productionalise ML applications and operate end-to-end pipelines, including monitoring, versioning, and rollback in regulated environments Comfort working across complex, multi-source data ecosystems where data quality, lineage, and root-cause analysis require careful attention Clear communication skills with the ability to align cross-functional stakeholders, set expectations, and turn ambiguous compliance needs into a concrete technical plan Why you should join SumUp 🌎 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup 🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced 🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success 📚 A dedicated annual L&D budget of €2,000 for your in

About the Role At SumUp, we're on a mission to empower small businesses across the globe by providing a vast set of simple and affordable business tools to help them start, run, and grow their businesses . Lending at SumUp is a mature, scaled business with a strong and proven credit risk foundation . Our core models and decisioning frameworks are already robust and in production; as our portfolio grows, our challenge is safely extracting marginal gains from a complex system where changes are incremental and the stakes are high . As a Senior Data Scientist , you will be highly hands-on and embedded in day-to-day lending decisions . This role exists to strengthen our ability to improve what already works, reduce operational risk, and ensure long-term reliability as we scale into new markets . You will work within the Credit Risk Analytics (CRA) team, a streamlined group responsible for the modeling and analytics that underpin our global lending portfolio. What you'll do Optimise Credit Risk Models: Iterate on existing models to improve stability, predictive power, and net revenue impact while performing deep dives to support risk decisions . Drive End-to-End Deployment: Develop, test, and deploy new model versions in close collaboration with Credit Risk Engineering (CRE), ensuring no regressions or operational issues . Enhance ML Infrastructure: Improve machine learning pipelines and workflows to reduce maintenance overhead and failure modes . Integrate New Data: Evaluate and integrate new internal and external data sources (e.g., credit bureaus, open banking) into existing models and processes . Monitor Performance: Closely monitor models in production, investigating performance shifts or anomalies to maintain portfolio integrity . Promote Technical Excellence: Document work clearly and participate in code reviews, design discussions, and pair programming to maintain high-quality standards .   What makes you great for this position 5+ years of experience as a Data Scientist (or 7+ years in data-related/software engineering fields with at least 3 years in Data Science) . MUST HAVE experience working with Credit Risk.  Deep understanding of Data Science principles, including statistics, probability theory, and machine learning concepts . Strong experience with Python (pandas, PySpark, scikit-learn) and SQL for complex data retrieval and manipulation Proven track record of building, evaluating, and deploying machine learning models end-to-end at scale . Experience with credit risk assessment, lending, or financial decisioning models . Strong software engineering practices, including writing clean, maintainable, testable code with version control and documentation . Collaborative and respectful team player who is comfortable voicing disagreements while committing to team decisions ("disagree and commit") . Fluency in English with the ability to communicate technical findings clearly to diverse stakeholders .   Why you should join SumUp

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are looking for a Staff Data Scientist to join Wolt's mission in Finland, Sweden, or Germany ! About the role The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants. To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally. What you'll be doing As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You'll achieve this by: Developing and deploying production-level ML models Crafting metrics to unlock deeper insights into merchant selection quality for all markets Conducting experiments to understand the impact of selection on specific markets Work on self-serve tooling to track these insights. This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards. Our humble expectations 3-5 years of experience in data science, consulting, or a related quantitative role Fluent in Python & SQL Strong exploratory data analysis skills , willingness to look under the hood Exposure to experimental design (A/B testing) and key statistical methods Experience in feature engineering, model design, evaluation, diagnostics, and monitoring Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte) Determination to initiate and lead/own strategic projects to completion with a cross-functional team Innate curiosity to understand how things work and a first-principles approach to problem solving What we offer The online delivery platform that Wolt is building will o