165 Jobs für Data Scientist in Schweiz

Location:
Switzerland

Employment Type:
Full-time

About the Role

We are seeking a skilled
Data Scientist / Data Analyst
to join our Switzerland team. You will turn complex datasets into actionable insights, develop predictive models, and support data-driven decision-making across business functions.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Build statistical and predictive models to solve business challenges.
• Develop dashboards and reports to communicate insights to stakeholders.
• Collaborate with cross-functional teams to drive data-driven strategies.
• Ensure data accuracy, integrity, and compliance with Swiss/EU data regulations (e.g., GDPR).
• Conduct ad-hoc analyses and provide actionable recommendations.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 2–5 years of experience in data analytics, data science, or similar roles.
• Strong skills in SQL, Python, or R for data analysis.
• Experience with data visualization tools (Tableau, Power BI, or similar).
• Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) is a plus.
• Strong analytical, problem-solving, and communication skills.
• Fluent in English; proficiency in German or French is a strong advantage.

What We Offer

• Opportunity to work on impactful projects in Switzerland's data and technology ecosystem.
• Exposure to international teams and cross-industry analytics projects.
• Competitive Swiss salary and benefits package.
• Career growth and professional development opportunities in data science and analytics.

Data Scientist

Location:Zurich, CH, 8005

At Barry Callebaut, we are on a journey to transform the cocoa and chocolate industry. As the world's leading manufacturer of high-quality chocolate and cocoa products, our actions truly shape the future of our industry. We are a business-to-business company, serving the entire food sector, from the cocoa bean to the finest chocolate product. We are a company with a purpose, we believe in doing well by doing good and reinvesting in the communities we operate. We have a long-standing commitment to sustainability and our goal is to shape a sustainable cocoa and chocolate future. We are headquartered in Zurich, and have more than 12,000 passionate Employees working in more than 40 countries worldwide. We are very proud of who we are and what we do. And of course, we are always looking for talented people to help us have a positive impact on our industry and beyond

About the role

Are you ready to turn data into impact at a global leader in chocolate and cocoa? Barry Callebaut's Business Optimization Programs team is on the hunt for a sharp, innovative Data Scientist to help shape the future of cocoa – one algorithm at a time. In this role, you'll be at the heart of some of our most exciting strategic initiatives, collaborating across departments to unlock value and drive smart decision-making. Work at the forefront of our digital transformation, using your expertise in Python, advanced statistical modeling, and AI/ML to deliver high impact projects from conception to execution. If you thrive on data, love working across diverse teams, and want to make a measurable difference in a company that's as passionate about innovation as it is about cocoa and chocolate – we'd love to hear from you.

Key responsibilities include

• Work together with Global Cocoa teams to understand complex business challenges and translate them into data science use cases and solutions
• Identify and drive new ideas and innovative data solutions with significant business impact, converting ideas into concrete designs and projects
• Analyze and structure large, and complex data sets using statistical, ML/AI and other modern data science techniques and frameworks, to identify trends and provide insights
• Design, build, test and deploy data models and other data products using appropriate tools and techniques
• Collaborate with cross-functional business and digital teams to successfully deploy data model solutions across Global Cocoa division
• Thoughtfully communicate complex data insights to non-technical stakeholders in a clear and concise manner

About you

• Phd or Post Doctorate's degree in Computer Science or related STEM field
• 8+ years of experience in model optimization, data science or related field using programming languages such as Python
• Working experience in modeling optimization tools using SCIP and/or Gurobi, as well as experience with SQL, relational databases, and data frame libraries
• Working experience with Microsoft Azure AI and Dev Ops
• Working experience with AI coding assistants e.g. cursor, replit, gpt code agent etc.
• Fluent knowledge of English (other languages spoken in the Barry Callebaut world, are a plus)
• Proficient in Python
• Knowledge of advanced statistical modeling techniques (time series methods)
• Knowledge of advanced AI/ML techniques for forecasting, optimization and prediction
• Knowledge of Microsoft Fabric
• Knowledge of Azure DevOps, or similar tools highly desirable
• Analytical problem solving
• Basic project management knowledge (a plus)
• Understanding of cocoa industry (a plus)
• Strong interpersonal skills and enjoy working in cross-functional teams
• Ability to engage both with technical and non-technical teams and management
• High level of credibility
• Adaptability and willingness to come forward with new ideas on how to improve ways of working
• Positive, proactive, and hands-on working style
• Experience working in cross-functional teams with business and technical stakeholders
• Ability to communicate technical concepts in a clear and engaging way (written and oral)
• Structured & solution oriented

At Barry Callebaut, we are committed to Diversity & Inclusion. United by our strong values, we thrive on the diversity of who we are, where we come from, what we've experienced and how we think. We are committed to nurturing an inclusive environment where people can truly be themselves, grow to their full potential and feel they belong. #oneBC - Diverse People, Sustainable Growth.

If you want to learn more about Barry Callebaut, please find further information here.

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Pour notre division Systèmes d'information pour les services Data Science, nous recherchons une personnalité engagée et experte pour accompagner notre Maison dans la maîtrise de la donnée.

En tant que Data Scientist, vous contribuez activement à l'amélioration continue de nos processus de classification et d'analyse. Votre expertise permet d'apporter une réelle valeur ajoutée à la gestion de l'information et à la transformation numérique de notre Maison.

Responsabilités

• Développer des solutions performantes pour la classification précise des couleurs de cadran
• Élaborer des outils d'identification et de classification des composants

• Renforcer la capacité à classifier les RMC de manière fiable et automatisée

• Assurer la maintenance et l'évolution des jeux de données en lien avec les besoins métiers et technologiques

• Garantir la qualité, la cohérence et la sécurité des données utilisées

• Concevoir, développer et déployer des cas d'usage à forte valeur ajoutée en data science

• Maintenir une relation régulière et constructive avec nos partenaires académiques pour favoriser les échanges et la montée en compétences, notamment dans le cadre de projets de master

• Accompagner et soutenir les groupes Data Science métiers dans l'industrialisation de leurs cas d'usage
• Travailler en étroite collaboration avec les équipes R&D pour garantir l'alignement entre les solutions techniques et les enjeux métiers

Profil

• Diplômé(e) d'un Master en Data Science
• Maîtrise approfondie de Dataiku et des techniques avancées de science des données
• Expertise en classification et manipulation de jeux de données complexes
• Expérience démontrée en gestion de projet et en coordination de partenaires internes et externes
• Excellentes aptitudes en communication, capacité à travailler en équipe et à dialoguer avec différents interlocuteurs
• Sens du service, rigueur et discrétion

Nous vous offrons un environnement stimulant, d'excellentes conditions de travail, des solutions de flexibilisation du temps de travail et des prestations sociales de premier ordre.

Nous vous remercions d'adresser un dossier de candidature complet (CV, lettre de motivation, certificats et diplômes).

Where passion meets opportunity

The best of your adventures is the one you have yet to sail

Your Purpose

The Data Scientist supports the On Board Revenue (OBR) team in driving data-informed decisions for different On Board Revenue (OBR) business (e.g. Beverage, SPA, Restaurants, Excursion, etc) across both digital and onboard channels. This role plays a critical part in generating insights from historical performance, supporting campaign targeting, and optimising the OBR product portfolio to enhance guest experience and revenue.

Reporting into the Data & Analytics Manager, the Data Scientist will work collaboratively with commercial stakeholders to ensure accurate, timely, and actionable analytics that inform strategic decisions for onboard operations and sales.

Your Impact

• Data Analysis and Insights: Analyse OBR products sales performance across multiple itineraries, channels, and canvases to uncover patterns and trends that support business decisions.
• Targeted Campaign Support: Identify the optimal products to promote for each canvas or segment within the prepaid area. Support the planning and targeting of OBR campaigns aimed at maximising conversion and guest satisfaction.
• Product Portfolio Optimisation: Suggest enhancements or changes to the OBR offering based on consumption data and guest preferences. Support continuous improvement of the onboard product mix.
• Ad Hoc Commercial Analysis: Perform bespoke analyses to assess business initiatives such as new canvas openings, itinerary changes, or pricing tests. Translate findings into clear, actionable recommendations.
• Stakeholder Collaboration: Work closely with the OBR Commercial, Onboard Operations, and Marketing teams to understand business needs and deliver data-driven insights that support their goals.
• Performance Monitoring: Track OBR KPIs over time, identifying under- and over-performing products, canvases, or channels. Support the business in identifying areas of opportunity.

Your Journey so far

• Bachelor's degree in Business Analytics, Data Science, Economics, Statistics, or a related field.
• 2–4 years of experience in a data analysis role, preferably in cruise, travel or hospitality.
• Proficiency in data visualisation tools (Power BI, Tableau) and data analysis tools (SQL, Excel, Python or R a plus).
• Experience with sales performance or product portfolio analytics preferred.

Your Essentials

• Strong analytical thinking with the ability to interpret complex datasets and draw meaningful conclusions.
• Excellent written and verbal communication skills, with the ability to translate data into clear business insights.
• Detail-oriented, self-motivated, and comfortable working across multiple projects and stakeholders.
• Collaborative mindset with a willingness to work closely with both technical and commercial teams.
• EU Passport or right to work in Switzerland

Our commitment

We are committed to building a future that values diverse perspectives, embraces the world beyond borders, and fosters an inclusive environment where every individual feels valued, respected and empowered to be their authentic selves. Our commitment extends to taking meaningful, measurable actions that have a long-term positive impact on our guests, our employees and our planet.

Ready to turn your passion into something extraordinary? Join us at MSC Cruises, where new opportunities await. Apply today to be part of a global team that is pushing boundaries and achieving something remarkable. Your journey starts here

• Zürich
• 80% - 100%
• Product Development
• Englisch

Who we are?

Galaxus culture flows from our values: cooperative, innovative, piratesque, responsible, and ambitious. We give feedback straight-up granting everyone the power to own their actions and grow through epic wins and rough patches. "Grow with us. Be brave, stay true" is the mantra that inspires transparency, boosting a culture of openness and knowledge-sharing.

As the top Swiss e-commerce platform, with a crew of over 3,000 across Switzerland, Germany, and Serbia, Galaxus is on the move to new markets. We're on the lookout for characters who know that it's diversity that gets us to grow and succeed. Being bold and out-of-the-box isn't just encouraged — it's basically our brand.

As a Data Scientist within the financial risk team, you will work closely with product owners, software developers, and business stakeholders from finance, and fraud. Leveraging your expertise in outlier detection, and NLP, you will turn customer feedback into actionable insights, enhancing interactions within the Digitec Galaxus online shop. Additionally, you will apply traditional machine learning techniques to enable automated decision-making to define credit limits, and account clustering.

• Collaborate with multiple stakeholders to identify machine learning use cases, assessing their feasibility and potential impact.
• Conceptualize and develop machine learning models, overseeing all stages from initial prototype to deployment and continuous assessment.
• Communicate and present the results of pilots and projects effectively to both technical and non-technical stakeholders.
• Drive and expand data science initiatives within the Finance area, enhancing our capabilities and impact.
• Contribute to the community of machine learning engineers at Digitec Galaxus by enhancing our models, our codebase and our platform.

• 2+ years of experience as a Data Scientist, with a higher education degree in a data-focused field (e.g., Data Science, Statistics, Mathematics).
• Practical experience in applying machine learning techniques. Particularly in the areas of fraud detection, outlier detection, and NLP.
• Solid programming skills in Python and experience deploying ML models on cloud platforms.
• English fluency is required, and German skills (B1 or higher) are a plus.
• Strong communication skills, with the ability to explain concepts in a clear and relatable way to diverse audiences.
• Experience in evaluating model performance using metrics that align with the use cases and business objectives.
• Awareness of data privacy regulations (e.g., GDPR) and a commitment to maintaining high standards of data security.
• Experience with agile methodologies, effectively working within cross-functional teams and collaborating closely with product owners and business stakeholders.
• Ability to identify opportunities for improvement and implementing changes to enhance productivity and effectiveness.
• Prioritizes empathy and compassion in decision-making.

• Culture is Everything: Our values—cooperative, innovative, piratesque, responsible, and ambitious—form the foundation of our journey. Culture isn't just part of what we do; it's the essence of who we are.
• Courage and Unconventionality: Your courage and innovative spirit are valued here. We challenge conventional wisdom, embracing those who dare to think differently.
• Uncomplicated: Simplicity is at our core. We avoid the unnecessary, focusing on what truly matters—your development, our collective achievements, and tackling challenges with adaptability and resilience.
• Flexibility and Freedom: We believe that innovation and creativity thrive in an environment where flexibility and freedom are prioritized. We offer home office options, up to 8 weeks of workation, and every position is available from 80-100%.
• Fast Lane Growth: With us, growth is a continuous journey. You'll have opportunities to expand your horizons, both personally and professionally. To support this, we offer all employees up to 2000 EDU points.
• Other Benefits: Enjoy discounted employee conditions in our shops and much more, 25 days of vacation, Galaxus Mobile at a special price and much more.

We team up for Success

At Galaxus, we grow talent by teaming up with people from diverse backgrounds to build the best team out there. We stand for equal treatment and opportunities for everyone, no matter your ethnic or national origin, religion, sexual orientation, marital status, gender, gender identity, age, disability, or any other status. Diversity is our fuel for innovation and a culture of openness and collaboration. We welcome applicants from all backgrounds, experiences, and perspectives.

Englisch

80% - 100%

Digitec Galaxus AG

Pfingstweidstrasse 60b

CH-8005 Zürich

The Botnar Institute of Immune Engineering (BIIE) is a newly founded research institute in Basel that serves as a hub for multidisciplinary science, uniting experts in immunology, bioengineering, computational biology, and AI. Our mission is to develop cutting-edge immune-based therapeutics and diagnostics by leveraging advanced computational tools. Within the BIIE, the DeepIR group focuses on computational design of antibodies and T-cell receptors (TCRs), applying modern machine learning methods to design immune receptors from scratch.

We are seeking a Data Scientist or Data Science Associate (0–4 years experience) to join the DeepIR computational team and support machine learning model development and inference for novel antibody and TCR design. In this role, you will develop and apply advanced computational models, including graph neural networks (GNNs), protein language models (pLMs), and structural modeling of protein–protein interactions. These computational workflows will be used to understand patterns of antibody-antigen specificity or TCR-pMHC binding. You will work in close partnership with experimental scientists, using real-world data to validate and refine computational designs.

This position is based in Basel, Switzerland, and is mostly in-person (with the opportunity to work remotely up to two days per week). If you are passionate about applying AI to immunology and excited to collaborate in a diverse, cutting-edge environment, we encourage you to apply.

• Develop and optimize ML models: Design, train, and fine-tune machine learning models (e.g. GNNs, deep neural networks, protein language models) to predict and design protein–protein interactions, such as antibody-antigen and TCR-peptide binding.
• Model inference and deployment: Support the inference pipeline by implementing robust code to apply trained models for virtual screening and de novo protein design predictions. Ensure efficient deployment of models on HPC or cloud infrastructure for large-scale runs.
• Data analysis and integration: Work with high-throughput datasets (e.g. sequence data, structural data from PDB) to construct protein interaction graphs and featurize molecules. Analyze model outputs to identify promising antibody/TCR candidates and generate insights into key interaction features.
• Collaboration with experimental team: Interact closely with laboratory scientists to incorporate experimental feedback. Plan in silico experiments in tandem with wet-lab validation – for example, use experimental binding or structural data to improve models, and suggest new designs for lab testing.
• Research and innovation: Stay up-to-date with the latest computational immunology and protein design research. Prototype novel approaches (such as protein language models, diffusion models, or improved GNN architectures) and assess their potential to enhance the DeepIR design platform.
• Communication: Present findings and progress in team meetings. Contribute to publications or reports as needed, clearly communicating complex computational results to interdisciplinary team members.

• Education & Experience: Master's degree or PhD in Data Science, Computer Science, Computational Biology, Bioinformatics, or a related field. 0–4 years of relevant experience (industry or research).
• Machine Learning Expertise: Hands-on experience with machine learning/deep learning, including proficiency in Python and libraries such as PyTorch or TensorFlow. Ability to develop and debug models and data pipelines.
• Graph Neural Networks: Familiarity with graph-based learning techniques. Ideally experience using GNN frameworks (e.g. PyTorch Geometric, DGL) for structural biology or network data, and understanding of how GNNs can model molecular interactions.
• Computational Biology Knowledge: Basic understanding of protein biology and structural modeling (e.g. concepts of antibodies, TCRs, amino acid properties, PDB files). Experience in handling biological datasets or working on problems like protein structure prediction, molecular dynamics, or sequence analysis.

At BIIE, you will be an integral part of a mission to accelerate immunology breakthroughs. This role offers the opportunity to shape how cutting-edge research data is captured and utilized, by building a digital foundation for our labs. You will work in a highly collaborative and interdisciplinary setting. We offer a competitive salary and benefits package, opportunities for professional development (including Benchling certification programs), and the chance to make a tangible impact on scientific discovery by empowering researchers with effective technology.

We are recruiting a Data Scientist to work as a part central data science team. Our client is widely regarded as 'best in class' in the Data Science / AI space.

The Role:

• Unlock the power of data to bear on the inner workings of the energy industry
• Ability to relate effortlessly with the Crude trading business, continuously looking for new ways how AI/DS can create value for the desk
• Exploring new datasets, extracting insights, and visualizing the results
• Leading design, development, and deployment of machine learning systems / create real solutions to real problems
• Helping build data and machine learning expertise within the business through knowledge sharing

Qualifications:

• Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus
• Fluency in Python with the ability to write clean, modular, well-documented code
• 3-5+ years in industry developing and deploying machine learning models
• Extensive experience exploring and extracting insights from heterogeneous multi-dimensional data set
• Background in vessel tracking / GIS
• Time series modelling (both machine-learning and econometric approaches)
• Familiarity with cloud platforms (AWS) and containerization technologies (Docker)

Schweizer Armee - Kommando Cyber Kdo Cy, 80-80% (Jobsharing möglich), Zimmerwald
Diesen Beitrag kannst du leisten

• Kommunikationsdaten gemäss sicherheitspolitischen Zielsetzungen suchen, beurteilen und analysieren
• Gewonnene Erkenntnisse regelmässig und systematisch in Berichten unter Berücksichtigung derer festgelegten Prioritäten aufbereiten
• Das Wissen mit Informationen aus allgemein zugänglichen Quellen und Teilnahmen an fachspezifischen Fortbildungen zielgerichtet ausnutzen und dieses konstruktiv für den laufenden Ausbau in Analysebereich nutzen
• Neue Strategien, Methoden und Recherchetechniken im Themenbereich aktiv mitgestalten
• Den gesamten Bereich kontinuierlich mit technischen oder sprachlichen Kenntnissen sowie das Verständnis für technische Zusammenhänge weiterentwickeln

Das macht dich einzigartig

• Hochschulabschluss oder vergleichbare höhere Ausbildung (Nachrichten-/ Elektrotechnik oder vergleichbaren Naturwissenschaften von Vorteil)
• Ausgeprägtes analytisches Denken und sehr gute redaktionelle Fähigkeiten
• Hohe technische Kompetenzen und Fähigkeiten im Bereich Cyber, Telekommunikation, Informatik oder Data Science
• Belastbarkeit, Flexibilität, Eigeninitiative und hohes Interesse an sicherheitspolitischen Fragestellungen
• Gute aktive Kenntnisse einer zweiten Amtssprache sowie zusätzliche Kenntnisse von aussereuropäischen oder slawischen Sprachen sind von Vorteil

*Auf den Punkt gebracht *
Du arbeitest selbstständig in einem Team von Data Analysts und Data Scientists an vorgegebenen Themenbereichen. In einem dynamischen, nachrichtendienstlichen Umfeld hilfst du mit, aus Datenströmen und Signalen Erkenntnisse zugunsten der Sicherheitspolitik der Schweiz zu gewinnen. Du bist neugierig, hast Freude daran, dich in neue Technologien einzuarbeiten, und behältst auch in hektischen Zeiten den Überblick.

*Dein Einsatz für Sicherheit und Freiheit *
Das Kommando Cyber (Kdo Cy) steht für Kompetenz in den Bereichen Cyber und Digitalisierung. Wir vereinen die Begeisterung für unsere Aufgabe mit Know-how, Innovation, modernsten Technologien und agilen Arbeitsweisen. Wir erbringen sichere, robuste und resiliente Informatikleistungen für die Schweizer Armee und unsere Partner im Sicherheitsverbund Schweiz. Damit ermöglicht das Kdo Cy der Schweizer Armee den notwendigen Wissens- und Entscheidvorsprung – für eine sichere Schweiz.

Die Schweizer Armee beschäftigt über 9'000 Mitarbeitende in vier militärischen und rund 200 zivilen Berufen – und dies an 110 Standorten schweizweit. Auch für den Nachwuchs ist gesorgt: Die Schweizer Armee bildet in über 30 Berufen Lernende aus.

*Das bieten wir *
Arbeiten für die Schweiz: Wir setzen uns für das Erfolgsmodell Schweiz ein und arbeiten zum Wohl der Bevölkerung.

Gelebte Vielfalt: Dank Chancengleichheit entfalten wir unsere Kompetenzen und bringen unterschiedliche Perspektiven ein.

Gesund am Arbeitsplatz: Wir unterstützen und beraten unsere Mitarbeitenden im Bereich der physischen und psychischen Gesundheit.

*Zusätzliche Informationen *
Eine Anstellung bei der Schweizer Armee macht Sinn und bringt viele Vorteile mit sich. Überzeuge dich auf

Angebote von Personalvermittlern werden nicht berücksichtigt.

Switzerland

Full-time

About the Role

We are seeking a skilled
Data Scientist / Data Analyst
to join our team in Switzerland. You will work with large datasets to extract actionable insights, develop predictive models, and support data-driven decision-making across business functions. This role is ideal for someone with strong analytical skills, a passion for data, and the ability to communicate insights clearly to stakeholders.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured datasets.
• Develop statistical models, machine learning algorithms, and predictive analytics solutions.
• Create dashboards, reports, and visualizations to monitor KPIs and inform business decisions.
• Collaborate with cross-functional teams to translate data insights into actionable recommendations.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Ensure data quality, accuracy, and integrity in all analyses.
• Keep up to date with best practices, tools, and techniques in data analytics and data science.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–5 years of experience in data analysis, data science, or business intelligence.
• Proficiency in SQL, Python, R, or other data analysis tools.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Knowledge of machine learning techniques and statistical modeling is an advantage.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication skills to explain technical insights to non-technical stakeholders.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.

What We Offer

• Exposure to high-impact, data-driven projects in a global environment.
• Career growth through mentorship, training, and professional development.
• Competitive compensation and benefits package in Switzerland.
• Collaborative and innovative work culture.
• Opportunities to work with modern data tools and technologies.