Data & Analytics Jobs in Zurich, Switzerland (Now Hiring) — 527 open — Page 22
Iudex Non Calculat
Engineering Internship - AI/Data
Zurich, Zurich, Switzerland · Hybrid
$3k–$4k/mo
Entry level
<p>🌟 <strong>About You</strong></p> <p>You're in the final stretch of your studies (in particular graduated Master's student or close to graduation) and you want a hands-on internship where you build real AI systems tha…
Das Team, die Position und deine Verantwortlichkeiten: Als erfahrene*r Jedox Berater*in wirst du Teil eines jungen und dynamischen Teams, stationiert in Zürich und Bern. Du unterstützt unsere Kunden dabei datengesteuerte…
Skills: Jedox Implementation, Requirement Analysis, Solution Design, Data Integration, Data Analytics
VIE - PMO and Junior Traction Project Manager (f/m/d)
Zurich, Zurich, Switzerland · Hybrid
Entry level
At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse…
Job Description Are you looking for your next opportunity? Sompo has a unique opportunity for a Lead, Portfolio and Performance Analytics in our newly established CUO Office team for Continental Europe. Reporting directl…
Senior Site Reliability Engineer (80–100%) Your Mission We are seeking a highly motivated and talented Senior Site Reliability Engineer to join our growing team. As an SRE, you will be a key driver in building automation…
Software Engineer, Data Infrastructure & Acquisition - Zurich, Switzerland
Zurich, Zurich, Switzerland · Remote Solely
$30k–$160k/yr
Senior
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news artic…
Data Managerin/ Manager Medizinische Qualitätsprogramme (a)90- 100%
Zurich, Zurich, Switzerland · On-site
Mid level
Arbeitsort: Hirslanden Klinik Hirslanden | Zürich Besetzung per: nach Vereinbarung Anstellungsart: Befristet mit Option auf unbefristet Referenznummer: 71457 Als grösstes medizinisches Netzwerk der Schweiz setzen wir mit…
Skills: Data Management, Relational Databases, Microsoft Excel, Microsoft Office, Medical Terminology
Software Engineer III, AI/ML Shopping Creator, YouTube
Zurich, Zurich, Switzerland · On-site
Mid level$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year …
Skills: Machine Learning, AI Infrastructure, LLM Systems, Python, C++
<p>Du brennst für Online-Marketing, arbeitest gerne datengetrieben und möchtest Kampagnen nicht nur aufsetzen, sondern auch kontinuierlich verbessern? Dann suchen wir genau dich! Unsere Marketingagentur sucht eine:n enga…
Skills: Google Ads, Social Media Advertising, Google Analytics, Google Tag Manager, Looker Studio
Performance Marketing Manager/In Fokus Google Ads (60% bis 100%)
Zurich, Zurich, Switzerland · Hybrid
Mid level
<p>Du brennst für Online-Marketing, arbeitest gerne datengetrieben und möchtest Kampagnen nicht nur aufsetzen, sondern auch kontinuierlich verbessern? Dann suchen wir genau dich! Unsere Marketingagentur sucht eine:n enga…
Skills: Google Ads, Social Media Advertising, Google Analytics, Google Tag Manager, Looker Studio
Aufgaben Durchführung und Dokumentation von versicherungstechnischen Bewertungen Erstellung von versicherungstechnischen Projektionen und ALM-SimulationenEntwicklung von Modellen und Tools zur Abbildung von Pensionsverpf…
About kaiko.ai Kaiko is building a next-generation agentic clinical AI assistant that helps clinicians reason across patient data, guidelines, and diagnostics. Healthcare decisions are rarely made by a single person or f…
Internship (m/w/d) im Bereich Digital Marketing YOUR TASKS AND RESPONSIBILITIES Bayer Consumer Health Schweiz sucht eine_n Praktikant_in im Digital Marketing (m/w/d). Dauer: 08–12 Monate, Teilzeit (60 % bis 80 %), bevorz…
Skills: Digital Marketing, SEO, SEA, Programmatic Advertising, Social Advertising
Senior Test Manager - Core Banking & Pricing System Integration 100% (f/m/d) - (Contract through our external payroll partner with immediate start until 31.12.2027 with possible extension)
Zurich, Zurich, Switzerland · On-site
Senior$1.2B raised
At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth managem…
Du möchtest ein praxisnahes Forschungsprojekt von A bis Z mitgestalten und dabei echten Impact erzielen? Im Rahmen eines Projekts mit einer Schweizer Non-Profit-Organisation im Gesundheitsbereich analysieren wir die Nutz…
Skills: Desk Research, Survey Design, Data Analysis, Data Visualization, Public Speaking
kaiko.ai
ML Platform Engineer
Amsterdam, North Holland, Netherlands · Hybrid
Mid level
About kaiko.ai Kaiko is building a next-generation agentic clinical AI assistant that helps clinicians reason across patient data, guidelines, and diagnostics. Healthcare decisions are rarely made by a single person or f…
Huawei envisions a world where technology connects people, empowers industries, and unlocks human potential. Guided by its mission to enrich lives through communication and intelligent innovation, Huawei stands at the fo…
Huawei envisions a world where technology connects people, empowers industries, and unlocks human potential. Guided by its mission to enrich lives through communication and intelligent innovation, Huawei stands at the fo…
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year …
Title: Senior Actuarial Analyst Company: Everest Global Services, Inc. Job Category: Analytics Job Description: About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enablin…
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$3k–$4k/mo
Full-time
postgraduate degree
Direct impact on product, Learning & mentorship, Founder access, Compensation of CHF 2,500–4,500 per month, Prospect of a permanent position with equity (ESOP)
Posted 49d ago
~40 hrs/week
Responsibilities
Support the founder in building data pipelines, LLM agent workflows, and evaluation infrastructure for legal insurance automation. Responsibilities include prototyping coverage analysis workflows and improving document ingestion and retrieval strategies.
Requirements
Candidates should be near completion of a Master's degree in Computer Science, Data Science, or a related field with solid TypeScript and SQL skills. A strong interest in applied AI/ML systems and the ability to work on-site in Zurich are required.
Full job description
🌟 About You
You're in the final stretch of your studies (in particular graduated Master's student or close to graduation) and you want a hands-on internship where you build real AI systems that ship to production. You enjoy working with messy data, writing solid code, and running experiments to improve LLM-powered workflows. You learn fast, take ownership, and like collaborating closely with a small team.
🚀 About INC
INC (Iudex Non Calculat) is a pre-seed AI startup based in Zurich, building infrastructure that automates coverage checks and case handling for legal insurance companies. Legal insurance is a €16.8B European market where every case still requires 15-45 minutes of manual review. We compress that to under 2 minutes. We're backed by a paid pilot with a Swiss insurer and a founder with 120+ B2B customers at his previous AI legal tech company. We work at the intersection of LLM agent systems, document understanding, and domain-specific reasoning — where accuracy, traceability, and auditability matter.
Tasks
🛠️ Your Responsibilities
As an Engineering Intern — AI/Data, you will support the founder across data pipelines, LLM agent workflows, and evaluation infrastructure. Depending on your strengths, you'll go deeper in one area while still getting exposure to the full stack.
Data pipelines: Help build and improve ingestion and processing pipelines for insurance policy documents, legal texts, and case descriptions (parsing, normalization, structuring).
AI-ready structuring: Support chunking, metadata extraction, clause mapping, and schema design so downstream LLM agents work reliably against complex policy wording.
LLM agent workflows: Prototype and implement agentic LLM workflows for coverage analysis — fact extraction, policy cross-referencing, exclusion checking, and decision drafting — with attention to accuracy, cost, and latency.
Search & retrieval: Assist with indexing strategies, embeddings, hybrid retrieval, and relevance tuning for legal and insurance content.
Evaluation & quality: Build eval sets from real coverage check examples, run experiments, analyze failure cases, and help turn findings into shipped improvements.
Engineering fundamentals: Write clean TypeScript code, add tests where appropriate, and improve observability (metrics/logging) for pipelines and services.
Collaboration: Work closely with the founder and domain experts; document decisions and share learnings clearly.
Requirements
📌 Qualifications
✅ Minimum qualifications
Near completion of your degree: You are at the end of your studies (e.g. finished Master's program or close to graduating).
Degree in Computer Science, Data Science, Mathematics, or a related field (in progress) — or equivalent practical experience.
Comfortable with data structures, algorithms, and working with real-world data (edge cases, messy inputs).
Working knowledge of SQL (ideally PostgreSQL).
Interest in applied AI/ML systems (LLMs, embeddings, retrieval, evaluation, agentic workflows) and willingness to learn fast.
Strong ownership mindset and clear communication in English.
Availability full-time for the internship, ideally 6 months. On-site in Zurich at least twice per week.
🎯 Preferred qualifications
Experience with one or more of: search systems (Azure AI Search / Elasticsearch), vector databases, or embeddings.
Familiarity with data tooling (scraping/parsing, PDF tooling, OCR) and/or pipeline design.
Experience with Docker and CI/CD basics.
Familiarity with cloud platforms (especially Azure) is a plus.
Working proficiency in German.
Swiss work permit or EU/EFTA citizenship.
Benefits
🤝 Benefits
Direct impact: Your work ships into the product and directly improves how legal insurers process cases.
Learning & mentorship: Hands-on exposure to production LLM agent systems, search, and data pipelines in a high-ownership environment.
Breadth: Work across document ingestion → policy parsing → LLM reasoning → evaluation.
Founder access: Work directly with the founder on architecture, product, and technical decisions.
Compensation: CHF 2'500–4'500 per month, depending on experience and skills.
Prospect of a permanent position: Possibility of full-time employment with equity (ESOP) after a successful internship.
We're excited to hear from candidates who are finishing their studies and want a high-impact engineering internship in AI. Apply today by pressing the Apply button.
Related keywords
AIData ScienceLLMTypeScriptNode.jsPostgreSQLAzure AI SearchElasticsearchVector DatabasesEmbeddingsDockerCI/CDAzureOCRLegal TechInsurance
Frequently asked questions
How many Data & Analytics jobs are open in Zurich, Switzerland right now?
There are currently 527 open data & analytics positions in Zurich, Switzerland listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Zurich, Switzerland?
Companies currently hiring include Julius Baer, Google, ETH juniors, PwC, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Zurich, Switzerland?
Yes — 235 of the 527 open data & analytics positions offer remote or hybrid work (42 remote, 193 hybrid).
How do I apply for Data & Analytics jobs in Zurich, Switzerland?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.