4 machine learning jobs found in Zürich

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...

We are experts in data science, model development, and machine learning, supporting data-driven monitoring of compliance and operational risks. Through daily dialogue with Legal & Compliance, among others, we foster enthusiasm for data analytics and intelligent models, proactively identify relevant needs, and implement solutions. Our expertise encompasses areas such as anti-money laundering, sanctions, and the measurement of operational and compliance risks. To strengthen our team, we are seeking a recent graduate with a passion for data analytics and an affinity for banking, particularly within the compliance field. Your tasks Supporting the Legal & Compliance team with all needs related to data acquisition, analysis and visualization, as well as the use of models, machine learning and/or generative AI. Contributing to the further development of the bank's non-financial risk management through the proactive development of a strong data and model base....

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...