48 jobs found in Zürich

(80-100%) About this position Shape the future of the digital CFO function with us. At Forvis Mazars, we combine audit, advisory, and finance expertise with modern data and technology solutions. To further expand our Digital CFO services, we are looking for an entrepreneurial individual who will lead demanding data analytics projects, develop client relationships, and, in the medium term, help establish a Switzerland-wide Center of Excellence for Data Analytics. Your tasks You lead data-driven audit and advisory projects in the areas of external audit, internal audit, and forensic analytics. You develop analyses to identify risks, anomalies, compliance issues and process improvements, e.g. Journal Entry Testing, Revenue Analytics or Continuous Monitoring. You analyze financial and operational end-to-end processes, especially Purchase-to-Pay, Record-to-Report, Order-to-Cash, projects and expenses. You design and implement modern analytics solutions, ETL...

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....

Are you a social media enthusiast who practically speaks in memes, scrolls through reels daily, and is fascinated by the future of the Metaverse and AI? Ready to swap your daily routine for the sun-drenched, vibrant lifestyle of Greece? We are looking for digital-savvy language lovers to join a powerhouse team supporting   one of the absolute biggest global names in Social Media, Networking, and Virtual Reality . In this role, you won’t just be scrolling—you’ll be the ultimate guardian of the digital world, keeping online communities safe, training next-generation AI models, and diving into the immersive universe of virtual platforms! Whether you want to build a career with cutting-edge tech or simply live the ultimate Mediterranean expat dream, this is your sign to apply! What You’ll Do (Pick Your Vibe!) Depending on your unique superpowers, tech background, and language profile, you’ll be placed into one of our specialized digital workflows: AI & Trend...

Zurich / Internship / hybrid The Data Management team is the center of expertise for working with data in the field of statistics. Here, a large portion of the bank's data collections for economic analyses are maintained and managed. We design, automate, and operate efficient data pipelines for this purpose. In addition, we support specialized data analysis/data science projects and implement best practices and new technologies for end-user development and data science. You will become part of a young, dynamic team working across disciplines at the intersection of computer science and economics. The internship is for a duration of 12 months. The workplace is in a prime location in Zurich. Start date: September 1, 2026, or by arrangement. Your tasks Development, optimization and operation of high-performance data pipelines (DataOps); Implementation of quality and performance metrics (KPIs) for datasets or data pipelines; Business...

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...

IMPACT starts with us As   Digital Transformation & SMART Operations Lead – Cybersecurity (m/f/d),   you will actively shape the digital future of our production site in Horgen. You will drive the transformation to a Smart Factory, strengthen the digital networking of our OT and shop floor systems, and simultaneously ensure that the cybersecurity architecture (IT & OT) is resilient and future-proof. You will combine technology expertise, change management, and governance, and work closely with production, engineering, and global functions. All the important information for you at a glance When and where?   Immediately or by appointment at Feller AG in Horgen Duration:   Indefinite Vacation:   At least 5 weeks Workload:   80 - 100% (40 hours/week) Your contact person?   Larissa Niederberger, Senior Talent Attraction Business Partner our range Look forward to a varied workplace where boredom is out of the question. We give you the...

Minimum qualifications: PhD in Machine Learning, Computer Science, Statistics or a related field, or equivalent practical experience. 15 years of experience leading a research agenda. Experience in deep learning and experience with Python and neural network training. Experience training, evaluating, and interpreting large multimodal models and large language models. A publication record in machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV) Preferred qualifications: Experience in research leadership across organizations. Experience leading a diverse set of research scientists, research engineers, and software engineers. About the job At Google DeepMind (GDM), we’re a team of scientists, engineers, machine learning experts, and more, working together to advance artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, ensuring that safety and ethics are the highest priority....

As a leading global software product company in the field of Compliance & Automation, IMTF Group develops cutting-edge RegTech solutions with a focus on Anti-Money Laundering and Anti-Fraud. We are dedicated to automating manual processes through the use of machine learning and data science, ensuring our clients have the most efficient and effective compliance solutions on the market. We value innovation, excellence, and continuous learning at IMTF Group. We provide a dynamic, collaborative work environment where your ideas will be heard and your skills will be put to the test. If you are passionate about technology and motivated to make a significant impact in the compliance industry, this is the perfect opportunity for you to thrive and advance your career with us. Responsibilities Deploy,   tune   and   create AI/ML models   with customers and share critical feature requests with the product and engineering teams Design, build and   own AI/ML products   in...

In the Strategy, Risk & Analytics department of Zürcher Kantonalbank, we are responsible for the bank-wide AI strategy and its effective implementation. In this role, you are not a traditional business analyst, but rather assume a central steering, translation, and enablement function for AI topics within our bank's change initiatives. Do you want to do more than just think about artificial intelligence from a technical perspective; do you want to translate it into real business value? Do you understand business needs, technological possibilities, and risk-related limitations, and thrive in the role of translator between business departments and IT? Then you've come to the right place. Your tasks Identification and structuring of AI and GenAI potentials at a cross-cutting level, which are translated into concrete, actionable use cases together with decentralized business engineers and PMs. Acting as a professional sparring partner and enabler for...

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...

Be a part of the legacy: Postdoctoral Research Fellow Program Our Research Laboratories’ Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery. Position Overview: This position is in the vaccine modeling team of the Health Economic and Decision Sciences (HEDS) department withing Biostatistics and Research Decision Sciences (BARDS) at our Research Laboratories. BARDS HEDS provides strategic and analytic modeling expertise to measure and quantify the value of our company's products. As part of an agile team, the fellow will develop and support a seamless mechanism of coordination and collaboration in a dynamic area of...

About Us comparis.ch is Switzerland's leading comparison platform. For 30 years, we have been comparing rates and services from health insurance companies, insurance providers, banks, and telecommunications companies, among others, and offer the largest Swiss online marketplaces for real estate and cars. With comprehensive comparisons, we create transparency and help our users make the right decisions for themselves. With over 80 million visitors per year, we are one of the most frequently used websites in Switzerland. Nine out of ten people know us as THE independent comparison platform in Switzerland. Are data and artificial intelligence your passion? Do you want to transform complex data analyses into tangible insights and help shape the future of data-driven communication? Then you've come to the right place in our Communications & Research Team! We offer you a key role at the interface between data science and corporate communications. What you will do with us...

About the Company We are a   fast-growing B2B SaaS company   building an   AI-driven platform   to transform automotive aftersales operations. Our product helps bodyshops, dealer groups, and multi-site operators   optimize workflows, improve efficiency, and make better decisions through data.   Using digital twin technology and real-time optimization, we uncover operational improvements that are often hidden in day-to-day processes. In practice, this means helping workshops   plan work more accurately, assign jobs to the right people, and predict when work will be completed.   At the core of our platform is our AI:   machine learning models and optimization algorithms   that power intelligent predictions and decisions in complex operational environments. With customers across multiple European markets and strong early traction, we are now looking to hire a   Machine Learning Engineer   to further strengthen our product and AI capabilities. Do you want to...

Is developing and implementing security strategies your strength? Our team, which advises clients on preventive and reactive IT security, is looking forward to hearing from you. This is how you create added value As a consultant, you advise well-known clients on IT topics, with cybersecurity being one of your main areas of focus. Your main tasks include: Consulting and support for clients in the areas of information security, cyber security and IT security from strategy and concept to implementation. Supporting clients in the development (planning, design, implementation) of information security, data protection and risk management frameworks based on ISO 27001. Taking on the ISO role for companies that have outsourced it. Development of strategies and concepts for security solutions and services, on-premises and in the public cloud. Participation in procurement projects for security solutions and services. Management of demanding...

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...

Location: Zurich Technology In short Your mission is to ensure On’s data is treated as a strategic asset. You will lead the definition and standardization of our core business metrics while simultaneously building a robust Data Governance framework that secures our data flows and system integrity. By establishing clear ownership, defining technical standards, and partnering with engineering teams to embed "governance as code," you will empower every team at On to move faster with data they can 100% trust. Your Mission You will: Architect the Governance Framework: Define and implement a comprehensive enterprise data governance framework covering data categories, field standardizations, and requirements for data products. Lead Cross-System Field Standardization: Establish and govern how core entities, such as customer, product and dates, are defined and handled across all systems to ensure a single, unified view of the...

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure. In Switzerland, Thales is represented by a focused, highly international team working closely with global experts and customers across Europe and beyond. The Swiss organization combines the strengths of a global company with the agility of a local presence, offering an attractive working environment in a country known for innovation, quality, and stability. We say HI* – welcome to the Thales team! *Human Intelligence...

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...