45 data science jobs found

Data Science Software Engineer Data Science Become part of our team at the "Software Engineering & IT" business center in Aarau. We develop sophisticated software, machine learning, and AI solutions for highly specialized applications, creating direct added value for our customers from their data. Lead our projects to success: From exploratory data analysis and feasibility assessment to model development, application development, and implementation. Area of ​​activity Your main tasks and responsibilities Data Engineering & Data Pipelines:   Connecting and integrating diverse data sources (e.g., SQL/NoSQL, APIs, files, IoT). Developing robust data pipelines for data extraction, cleansing, transformation, and validation. Implementing feature engineering and ensuring high data quality and traceability. Machine Learning & Modeling:   Design, training, evaluation, and optimization of machine learning models using...

University Research Priority Program Adaptive Brain Circuits in Development and Learning (URPP AdaBD) Application Specialist for High Dimensional Data Science 50 - 80 % Start of employment as soon as possible upon mutual agreement. The appointment is initially limited to one year. An extension until the end of 2028 is possible and conditioned upon milestones reached in the first year. The High Dimensional Data Science (HDDS) platform is one of three platform projects of the University Research Priority Program Adaptive Brain Circuits in Development and Learning at the University of Zurich. The mission of the HDDS platform is to make high dimensional data science methods available within the AdaBD program and beyond. To that end, the HDDS develops and applies an open source data analysis platform tailored to behavioural, functional, anatomical, and other types of data. The HDDS platform provides consultancy, training, and support for DataDelv users from the...

Why Omnilex? At Omnilex, we’re on a mission to transform the way lawyers work. Our AI-native platform lets legal professionals enhance their productivity in legal research and automate workflows. We collaborate closely with our clients and iterate at a market-leading pace. In a year, we have gone from an early MVP to a product used daily by thousands of legal professionals at our clients in Switzerland, Germany and Liechtenstein - and are now scaling rapidly across Europe. We already stand out with our strong data engineering, including our combination of external data, customer-internal data and our own innovative AI-first legal commentaries. You’ll be joining a young, passionate, and dynamic team of 14, with roots at ETH Zurich. Your role Do you enjoy taking a strong AI product and making it work   beautifully   inside a customer’s real-world environment; messy data, unique workflows, strict permissions, and high expectations? Are you hands-on, pragmatic, and...

Datum: 31.03.2026 Location: Zug, Switzerland Experience level: Entry-level professional Employment type: Temporary - Full-time Moving forward with momentum – together with you. We've been part of the Zug region for over 130 years – and we're full of energy for what's to come. We don't stand still. We're dynamic: with exciting projects in energy, water, and telecommunications. At the same time, we remain a reliable partner for tomorrow. This blend of tradition and innovation makes WWZ special. Our jobs offer opportunities for development and the chance to actively shape the future of the region. Sound like you? Then join us. As a university intern in Data Engineering, you'll work where data becomes insights. You'll support our team in building and operating modern data platforms and gain a solid understanding of the data-driven world of a systemically important company. You work with real data, real...

Your mission Your Position You will help lead the architecture and development of our software platform, executing the technical strategy for processing and analysing vast streams of IoT data from our devices, while designing scalable systems that deliver actionable, real-time insights to our customers. Your profile Responsibilities Lead the frontend technical strategy while contributing to the backend roadmap, ensuring alignment between both areas. Drive execution on multiple projects, navigating through uncertainties and fostering a culture of engineering excellence. Collaborate closely with the product to deliver rapid prototypes and innovative user experiences. Define and uphold technical standards related to system design, scalability, and code quality, while coaching junior team members through feedback and code reviews. Monitor systems to identify and resolve complex problems, collaborating with cross-functional teams to define and ship new...

Why Omnilex? At Omnilex, we’re on a mission to transform the way lawyers work. Our AI-native platform lets legal professionals enhance their productivity in legal research and automate workflows. We collaborate closely with our clients and iterate at a market-leading pace. In a year, we have gone from an early MVP to a product used daily by thousands of legal professionals at our clients in Switzerland, Germany and Liechtenstein - and are now scaling rapidly across Europe. We already stand out with our strong data engineering, including our combination of external data, customer-internal data and our own innovative AI-first legal commentaries. You’ll be joining a young, passionate, and dynamic team of 14, with roots at ETH Zurich. Your role Are you excited about turning messy, multi-jurisdiction legal content into clean, structured, and AI-ready data? Do you enjoy building reliable pipelines for extraction, normalization, chunking, citation handling, tagging,...

Data Engineer (H/F) Location Switzerland, Geneva Category Consultancy Position Type Regular Full-Time Working Model Hybrid Overview At (Collaboration Betters The World), a global technology consulting firm, collaboration is the cornerstone of innovation and success, and the foundation of everything we do. Our mission: to transform businesses and communities for a better world. Present in more than 20 countries and 35 cities, we combined global expertise with a local understanding of our clients' challenges. Within the   "   Data Analytics   & AI   " Service Line, we are developing an approach that aims to support our clients in defining their strategies for Data Science and AI, Analytics and Business Intelligence, and Data and Platforms. The goal is to support them at every stage of their journey to help them unlock the potential of their data. Responsibilities What are you going...

As Team Lead DWH & BI, you and your team will build our new data warehouse. You will further develop our DWH and reporting landscape, work closely with specialist departments, architecture and security teams, and thus shape Denner's data-driven future. Denner AG headquarters Grubenstrasse 10 8045 Zurich Important instructions We welcome all applications, but can only consider online applications. Applications sent by post will be disposed of and not returned for data protection reasons. The video is paused. Press to play. What you move core task Lead the DWH & BI team and promote the professional development of employees. core task Further develop and operate the data warehouse and reporting environment. core task Responsible for the development of a new data warehouse based on Azure, Fabric and Power BI. Side tasks Define...

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance:   Our innovative product suite features the world’s most trusted stablecoin,   USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power:   Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices...

At Debiopharm, every step we take is guided by one purpose: improving the lives of people affected by cancer and infectious diseases. As a privately-owned Swiss biopharmaceutical company, we’re driven by science, but above all, by the people behind every treatment — the patients and their families. Through our unique “development only” model, we bring forward promising therapies and transform them into treatments that can reach those who need them most, faster. Are you passionate about advancing science and improving lives? We are currently looking for a driven, passionate and strategic leader to join our Biostatistics and Data Management department based at our Headquarters in Lausanne, Switzerland as Head of Biostatistics and Data Management At Debiopharm, we are driven by a singular mission: to develop for patients. As the Head of Biostatistics & Data Management, you will play a pivotal role in this mission by leading a dedicated team of highly skilled...

Job Information Date Opened 02/19/2026 Job Type Contract Industry Technology Work Experience 4-6 years City Zurich State/Province Zurich (from) Country Switzerland Zip/Postal Code 8000 Job Description Job Location   – Zurich, Switzerland Experience (Years) : 6+ years Pay Rate   – TBN Start Date   - ASAP 6 Months Contract   – Renewable We are seeking an AI Engineer to collaborate with cross-functional teams in solving compliance and regulatory business challenges through innovative AI-powered solutions. You will contribute across the full lifecycle of AI model development—from problem definition to deployment—ensuring high-performance, scalable, and ethically responsible AI solutions. In this role, you will work on model development, training, fine-tuning, prompt engineering, and continuous improvement based on real-world performance and stakeholder...

We’re a startup going agentic We're looking for an experienced Head of AI & Automation with strong ownership and a track record of delivering high-performance, production-grade systems end-to-end. You'll work closely with a small, fast-moving team to design and implement scalable AI and automation workflows. ➡️ About this role: This is qiibee's first dedicated AI hire — and one of the most consequential roles we've ever created. You'll own the end-to-end rollout of AI agents across the company: from mapping repeating workflows to deploying production-ready automations, and from quick wins to complex multi-step agentic pipelines. You'll sit at the intersection of strategy and engineering, working directly with every team to identify where AI creates the most leverage — and then building it yourself. This isn't a consultant role or an oversight role. You'll be hands-on in the code and in the room. Tasks What you'll own: Lead company-wide AI agent strategy — own the...

Data is at the core of what we deliver for a growing number of our clients — and we need someone who can turn raw, messy data into clear, reliable insights. You’ll work across dashboards, pipelines, and reporting setups, and you’ll be the person clients trust to make sense of their numbers. What you’ll be doing You’ll define KPIs, build dashboards, write queries, and set up pipelines that keep data flowing cleanly. You’ll work directly with clients to understand what they need, and with our tech team to make it happen. Define data dictionaries, KPIs, and metric hierarchies with clients and stakeholders Write and optimise SQL queries across relational and cloud data warehouses Build data transformation pipelines and automation flows Design and build interactive dashboards with drill-downs, filters, and cross-source blending Integrate data from REST APIs and third-party platforms Normalise and clean raw data — handle deviations, nulls, and schema inconsistencies...

Permanent Work from Home. For the best Return on Time for Work, Life and Family. Constant Improvement. Using Technology. A Purpose - Help people earn Money, Respect & Peace of Mind. Koenig Ethos. What Our Employees Say About WFH: I stay in Jamshedpur, a place where job opportunities are limited. This WFH model allows me to work without compromising my career due to family responsibilities or other personal reasons. Flexibility, cost savings, better work-life balance, and increased productivity—these are the key benefits I’ve experienced with permanent WFH. Overall, working from home enhances productivity while giving me a more fulfilling personal life. I believe WFH gives a great return on time for work, life, and family. With elderly parents at home, WFH enables me to take care of their needs while maintaining my professional commitments. Flexibility and autonomy are the true USPs of...

As an AI Solution Architect, you will be part of the newly established AI Hub within Group IT and actively shape the AI ​​future of the SFS Group. You will evaluate and develop innovative use cases, design suitable solution architectures, and support their implementation together with business, IT, and data teams. You will ensure a scalable, secure, and efficient AI system landscape, promote knowledge transfer, and drive the technical development of the AI ​​Hub. In doing so, you will ensure that AI applications are operated responsibly, transparently, and in compliance with regulations. Your tasks Evaluation of AI and GenAI use cases regarding technical feasibility, data availability and integration potential, as well as advice on prioritization. Conception and documentation of end-to-end architectures (models, APIs, data flows, security aspects, MLOps/LLMOps) in collaboration with the respective specialist departments. Technical support from Proofs...

The AI4IT Development Squad Lead leads an agile development team focused on designing and delivering AI-driven solutions that enhance IT operations, improve service quality, and increase productivity across the IT organization. This role combines hands-on technical expertise, agile leadership, and innovation to develop AI capabilities that automate IT processes, optimize operations, and support intelligent decision-making across the IT landscape. The AI4IT Squad Lead plays a key role in accelerating the adoption of AI within IT by transforming traditional IT processes into AI-enabled, automated, and predictive services. This position requires 40–50% travel to deliver solutions, facilitate workshops, and drive AI initiatives. A job that matters: your tasks Lead AI Development for IT Use Cases Design and deliver AI-driven solutions that improve IT operations and services Develop AI capabilities such as intelligent automation, predictive analytics, and AI...

Zurich Experienced professionals Your sphere of influence As a (Senior) Data & AI Engineer (all genders) you are part of a highly qualified team in Zurich that is actively shaping the future of cloud solutions and AI technologies. You will be responsible for the conception, development and implementation of scalable and high-performance cloud and data engineering solutions that enable our customers to make data-driven decisions and advance their business development. With your in-depth knowledge, you transform complex data into smart, action-oriented insights and contribute your expertise to the selection and implementation of state-of-the-art technologies. You work with leading cloud platforms such as AWS, Azure and Google Cloud, use Infrastructure-as-Code (IaC) solutions such as Terraform and implement CI/CD pipelines for efficient software delivery. Your tasks also include the development and optimization of data pipelines, the use of...

RUN THE CORE. SCALE THE FUTURE. Steel frame structures support building elements like water pipes, cable trays or vent systems. As part of an overall building structure, they need to meet requirements concerning the supported load, but also overall cost and ease of installation. Currently, human workflows dominate the construction process, where CAD and calculation tools build the foundation. Countless hours are spent on the manual design of thousands of such supports in a building. The role includes the full creative process from research to implementation and analysis to automate this process. You will start with a literature research and prioritization of approaches for Generative AI. The goal is to implement the most promising approaches on our existing company data/simulation environments, evaluate them and iterate. Our Machine Learning team will give you guidance and support. The internship/thesis will be part of a larger project, so that you can have a direct...

We are looking for an experienced Senior Backend Engineer (Java / Spring) with a focus on AI services. You bring the following: Completed studies (Computer Science, Business Informatics, Electrical Engineering, Mathematics, Physics) Language: German B2 or better Spring Boot (>3 years of experience) PostgreSQL (>3 years experience) Event-driven architectures (>2 years of experience) Container platforms like OpenShift or Kubernetes (>1 year experience) Infrastructure as Code mit Terraform CI/CD pipelines for the automated execution of builds/releases and tests (>3 years of experience) Integration or use of AI services (e.g., LLM) or machine learning models via APIs Implementation of AI-supported functions in backend systems Use of technologies in the Java or Spring ecosystem (e.g., Spring Boot, Spring AI) Use or integration of AI frameworks in the Java environment (e.g. Embabel or similar...

Role Overview: As Venture CTO at QAI Ventures, you will be a core member of the venture-building team, responsible for driving the technical and scientific development, implementation, and scaling of Quantum AI ventures, while actively contributing to the growth of the broader ecosystem. You are responsible for end-to-end technical feasibility, from scientific validation and IP considerations to product and architecture implementation, translating this into clear venture decisions such as Go or No-Go, Build vs Buy, and architecture choices. Your focus lies on the scientific and technological execution of deliverables across Discovery, Validate, MVP, and Accelerate phases. You work closely with founders and venture teams to ensure strong technological substance, validation, differentiation, and that ventures are feasible, scalable, and investor-ready. You analyse technological dependencies, feasibility, and long-term differentiation, supporting the translation of scientific...