8 jobs found in Zürich

Are you an experienced Big Data professional eager to tackle complex challenges in a dynamic banking environment? EPAM is seeking a dedicated   Senior Big Data System Engineer (Platform Engineer)   to maintain, optimize and enhance distributed systems and data pipelines for one of our strategic clients in the financial sector. In this role, you will operate global data platform components, manage applications and integrate cutting-edge tools to deliver scalable and resilient solutions. We offer a hybrid work model with a mix of remote and on-site work at our client’s office in Zürich. Responsibilities Operate and maintain core Global Data Platform components, including VM Servers, Kubernetes and Kafka, to ensure smooth system performance and functionality Manage data and analytics applications, such as Apache stack components, Dataiku, Collibra and other essential tools Automate infrastructure configurations, security components and CI/CD pipelines to drive...

We're looking for a   Dynatrace System Engineer – Big Data   to join our team in Zürich, Switzerland, in a hybrid working mode. In this role, you will design and implement observability solutions that ensure performance, availability, and reliability of large-scale Big Data platforms. Your expertise will help drive operational excellence, proactively prevent incidents, and optimize system resilience. Responsibilities Design, implement, and maintain end-to-end monitoring and observability solutions using Dynatrace Monitor and optimize performance, reliability, and availability across Big Data environments including Trino, Kubernetes, and Kafka Develop dashboards, alerts, and actionable insights for operational efficiency Apply proactive monitoring strategies to detect risks early and prevent incidents Perform performance analysis, capacity planning, and root cause investigations Collaborate with platform, data, and operations teams to strengthen stability and...

Location: Zurich Technology In short As a Lead Data Scientist specialized in Supply Chain Forecasting, your mission is to revolutionize how we move products globally by building the next generation of predictive systems. You will bridge the gap between bleeding-edge research—such as Time Series Foundation Models—and production-grade supply chain solutions. This is a role for an experienced forecasting expert who has experience in building forecasts that combine multiple approaches to drive metrics such as Forecast Accuracy, stockout % and On-Time-In-Full (OTIF) metrics. Your Mission Drive impact on Forecast accuracy: use a range of modelling approaches, such as advanced techniques such as Time Series Foundation Models (e.g., Chronos, TimesFM) and multi-level forecasting frameworks, to drive improvements in forecasting accuracy. Build Scalable Solutions: Design and deploy end-to-end machine learning pipelines...

Locations: Zurich, London Technology In short As a Staff Data Scientist in Supply Chain, you will play a pivotal role in shaping the future of On’s supply chain. You are a technical leader within our data science team, responsible for designing, developing, and deploying cutting-edge optimization solutions and advanced forecasting models. Your work will have a topline impact on our ability to optimize inventory, improve planning accuracy, and make data-driven decisions at a global scale. You will tackle our most complex and ambiguous challenges in our supply chain. You will not only build and implement models but also provide strategic guidance, mentor fellow data scientists, and drive the technical roadmap for forecasting at On. Your Mission Position data science to drive topline impact on the supply chain, reducing stockouts and ensuring orders are met in full, through evaluating the space and providing clarity on...

Do you love working with large datasets? Are you a team player who enjoys sharing your knowledge and learning new things? Are you interested in fraud prevention and credit risk? Would you like to use structured thinking and creative ideas to further develop our models and applications? Then we are looking for you to join our Risk Analytics Team immediately or by arrangement, based in Zurich. Tasks You will develop and implement machine learning models in the areas of credit risk and fraud prevention. You advise and support the specialist departments through reports, analyses and models. You contribute your expertise and analytical thinking skills to interdisciplinary working groups and projects. You will participate in the further development of the in-house analytics tools and the expansion of the tech stack. Profile Completed university degree with a quantitative focus at least one year of professional experience Excellent...

About the Role Riverkin is a VC-backed Swiss startup looking for a star hydrologist to join the team. Flash floods threaten thousands of people and cause millions in damage each year but trustworthy alerts are not possible to come by. This is a real, under-served problem where today's forecasts break down, leaving first responders and municipalities exposed. What You'll Do Build the first flash flood ML model Define and build the first version of the flash flood ML model, using sensor data we deploy ourselves and public data sources. You implement models, manage big data sets and monitor performance. You work with software engineer(s) to embed models into a scalable piece of software. You are the architect and choose the models, the sensors, and the architecture as we go. Translate Business and Customer Needs into a Technical Roadmap You'll partner directly with the founders to pull detailed needs out of clients and find the sweet spot between...

Syllabus 80 - 100% employment Permanent position Location St. Gallen, Zurich Airport At Abraxas, we want to consistently integrate AI into ServiceNow and further develop our platform as a central lever for innovation, automation and efficiency. You will shape the next generation of our ServiceNow platform – with generative AI, intelligent applications, autonomous agents, and automation that will noticeably reduce the workload for employees and customers. To achieve this, you will identify relevant AI use cases, develop prototypes, and, together with the team, transform them into scalable, data-driven solutions for our customers and internal processes. For St. Gallen or Zurich Airport, we are looking for a dedicated individual who actively brings together ServiceNow, AI and automation and takes our platform to the next level. Your role Identify, evaluate, and prioritize AI use cases within the...

Youtube Video Together with our customers, we combine the real and digital worlds With technology, software and services for smart buildings, we transform the everyday for everyone. By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences for their people. It’s not just about improving buildings – it’s about creating efficient, safe, adaptable and sustainable environments, which improve the way the world lives and works. The digital transformation of buildings is a fast-changing, dynamic sector, and it needs more than just great technology - it needs great people, too. We know a business only thrives if its people are thriving, so at Siemens we put our people first. Within our buildings business, our diverse global team will support you through your career and challenge you to grow in new and exciting ways, as we transform the world’s...