122 Jobs für Data Scientists in Schweiz

Job Location
GENEVA BUSINESS CENTER
Job Description
As a Senior Data Scientist, you will tackle high-impact business problems by turning complex, large-scale data into scalable analytics and AI solutions. You will design, build, and deploy models - spanning machine learning, optimization/simulation, and emerging Generative & Agentic AI - working closely with product, engineering, and business partners to deliver measurable outcomes.
What you will do
+ Frame ambiguous business questions into well-defined analytics/AI problems (hypotheses, success metrics, and evaluation approach)
+ Perform exploratory analysis, feature engineering, and model development on large, complex datasets to uncover non-obvious insights
+ Design and implement advanced algorithms across machine learning (e.g., tree models, deep learning, reinforcement learning) and Operations Research (optimization, simulation)
+ Apply Generative and Agentic AI techniques where they create value (e.g., copilots, intelligent workflows, decision-support systems)
+ Partner with Data/AI Engineering to productionize and deploy solutions in cloud environments with strong software engineering practices
+ Own solutions end-to-end: problem definition, modeling, validation, deployment, monitoring, and continuous improvement
+ Communicate complex results clearly and influence decisions by translating technical work into business impact and trade-offs
+ Contribute to a global community of data scientists and engineers - sharing learnings, raising the bar on standards, and mentoring others
Job Qualifications
What we are looking for
+ 5+ years of experience in Data Science or related field, with proven record of business impact. Doctoral level research involving the use or development of AI/ML techniques may be considered in lieu of professional experience
+ Strong programming skills in Python and SQL; comfort working with modern data/compute stacks (e.g., Spark)
+ Strong foundations in machine learning, statistics, and experimental thinking
+ Knowledge of Operations Research methods (optimization and/or simulation) is a strong advantage
+ Familiarity with software engineering best practices (Git, testing, CI/CD) and working in DevOps-style environments
+ Experience with large datasets developing in cloud computing platforms such as GCP or Azure, building solutions that can scale to production
+ Strong problem-solving skills, curiosity, and the ability to navigate ambiguity
+ Collaborative mindset: able to partner across disciplines (engineering, product, business) and independently drive topics end-to-end
+ Clear communicator who can explain complex technical solutions to non-technical audiences and drive alignment and action
+ Strong written and verbal communication skills, with the ability to influence others to take action; Ability to influence the business by translating complex topics and techniques into concepts that non-technical people can understand and buy into
What we offer
+ Competitive salary over 13 months with annual compensation review,
+ Yearly bonus based on business unit and company performance,
+ Contribution to medical insurance,
+ P&G stock purchase program with Company match,
+ Attractive Company pension plan (2nd pillar) incl. life and disability insurance,
+ Annual Flex Fund of 3,000 CHF gross to support your Wellbeing across a large menu of choices,
+ Holidays: 25 days per year with option to purchase up to 2 additional weeks per year.
APPLY NOW!
Apply by clicking on the button below.
Have your CV in English ready to attach (include examples of the challenging experiences you have had both within and outside academia).
Please note individual attachments cannot be larger than 500 KB.
At P&G, we value respect, diversity, and inclusion. We create an equal opportunity environment where everyone has the same access and chance to learn, grow, succeed, and develop. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected factor.
Our Hiring Process ( is flexible and accessible to ensure equal opportunity and the ability to start your journey with us. We adapt to your needs from application to interviews. To learn more about the P&G Disability Accommodation process, click here ( .
Immigration sponsorship is available only for candidates with EU/EFTA (from Switzerland, Iceland, Liechtenstein, Norway) nationalities due to legal restrictions. For all candidates with non-EU/EFTA nationalities, we strongly encourage you to check our jobs in the other countries in which we operate. We might have a great career opportunity waiting for you elsewhere.
Job Schedule
Full time
Job Number
R
Job Segmentation
Experienced Professionals

Data Scientist / Analyst/-in II (OSINT)
Zimmerwald | 80-100% (Jobsharing möglich)
Diesen Beitrag kannst du leisten
Strukturierte und unstrukturierte Daten aus öffentlich zugänglichen Quellen beschaffen, zusammenführen und analysieren, um nachrichtendienstliche Produkte zu erarbeiten
Geodaten für die nachrichtendienstlichen Produkte aufbereiten; mithilfe von Analysetools und Data-Mining-Methoden Datenanalysen und Modellierungen durchführen; Visualisierungen und Karten erstellen
Informationen bearbeiten und abgleichen, um die aufgestellten Hypothesen zu bestätigen/ zu widerlegen
Die technischen und methodischen Entwicklungen in den Bereichen Web Intelligence / Social Media Intelligence sowie FIMI verfolgen und auswerten
Als kompetente/-r Ansprechpartner/-in für Anfragen, Referate sowie Fachgespräche im eigenen Analysebereich zur Verfügung stehen
Die relevanten Entwicklungen im Bereich der Sicherheitspolitik verfolgen und die eigenen Kenntnisse erweitern
Das macht dich einzigartig
Höhere Fachausbildung: Masterabschluss (Universität/ETH, HF) in Informationstechnologie, Informatik, Politikwissenschaften, Kriminalistik, internationale Beziehungen oder Sicherheitspolitik
Selbständige Arbeitsweise, rasche Auffassungsgabe, analytisches Denken, ausgezeichnete Teamfähigkeit sowie redaktionelle Fähigkeiten
Kenntnisse in OSINT; Beherrschen der Techniken in Internet- und Social-Media-Recherche; Fähigkeit, in digitalen Infrastrukturen Nachforschungen anzustellen
Erfahrung in den Bereichen Programmiersprachen (insbesondere ) sowie Beschaffungs-, Analyse- und Visualisierungstools; Kenntnisse der Best Practices in Entwicklung (git, CI/CD)
Ziel- und ergebnisorientiertes Arbeiten; Interesse an neuen Technologien und Themen der internationalen Sicherheitspolitik
Gute aktive Kenntnisse einer zweiten Amtssprache und sehr gute Englischkenntnisse; weitere Fremdsprachen sind von Vorteil
Auf den Punkt gebracht
Du arbeitest autonom in einem Team von OSINT-Spezialistinnen und -Spezialisten. In diesem dynamischen, auf die Organisationen des Sicherheitsverbundes Schweiz ausgerichteten Arbeitsumfeld trägst du mit hohem Verantwortungsbewusstsein zur Beschaffung nützlicher Informationen für die Sicherheitspolitik der Schweiz bei.
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.
Alle Benefits
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 Armee und unsere Partner im Sicherheitsverbund Schweiz. Damit ermöglicht das Kdo Cy der Armee den notwendigen Wissens- und Entscheidvorsprung – für eine sichere Schweiz.
Die 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 Armee bildet in über 30 Berufen Lernende aus.
Zusätzliche Informationen
Eine Anstellung bei der Armee macht Sinn und bringt viele Vorteile mit sich. Überzeuge dich auf .
Interessiert an Jobsharing? Du kannst dich einzeln oder mit Partner/-in bewerben. Auch wenn ihr euch im Duo bewerbt: Reicht eure Bewerbungen einzeln ein und gebt den Namen der Partnerin/des Partners im Bewerbungskonto an.
Angebote von Personalvermittlern werden nicht berücksichtigt.
Für weitere Auskünfte kontaktiere melde dich bittte über folgende Kontaktdaten: Tel. oder E-Mail schreiben
Fragen zur Stelle jid ws jit0729ws jiy26ws

**The Position**
This role is in the Statistical Methodology group, a core function within Product Development Data Sciences (PDD) that strives to enable the most impactful use of quantitative methodology at Roche through internal collaboration, external outreach, and continuous capability building.
**The Opportunity**
The Statistical Methodology group is a core function within Product Development Data Sciences, enabling the impactful use of quantitative methodology across Roche through internal collaboration, external outreach and continuous capability building.
As a Senior Statistical Methodology Data Scientist, you will play a strategic role in advancing the adoption of fit-for-purpose statistical methodologies that strengthen scientific rigor, evidence generation and decision-making across clinical development programs and portfolios. Acting as a methodological thought partner, you will collaborate with study teams, biostatisticians and cross-functional stakeholders to identify needs, prototype solutions and support scalable adoption through training, templates, frameworks and tools.
In this role, you will:
+ Provide expert methodological guidance to study teams on complex study design, analysis strategies and quantitative decision-making across programs.
+ Lead the development and implementation of innovative statistical approaches, such as estimand frameworks, trial simulations, covariate adjustment strategies, model-based projections and quantitative go/no-go frameworks.
+ Translate methodological insights into scalable solutions, including templates, training, open-source tools and best practices that strengthen analytical excellence across the organization.
+ Support portfolio-level analyses, scenario modeling and quantitative frameworks that inform clinical strategy, optimize development decisions and enable evidence-based prioritization.
+ Represent Roche externally through scientific collaborations, consortia, working groups, publications or regulatory-facing initiatives, helping the organization stay at the forefront of methodological advances.
**Who You Are**
+ You hold a PhD, in Statistics, Data Science, Computer Science or another related quantitative discipline.
+ You have 2+ years of experience designing and applying advanced statistical or data science methods to complex biomedical data, ideally in clinical trial research or pharmaceutical development.
+ You bring strong expertise in statistical computing, advanced modeling and the development of novel or fit-for-purpose analytical solutions for complex datasets.
+ You are recognized as a technical expert and trusted thought partner, with the ability to translate complex methodology into clear recommendations for scientific, clinical and cross-functional stakeholders.
+ You have experience contributing to internal standards, capability building, training or strategic initiatives, and you enjoy mentoring others to strengthen methodological understanding and adoption.
+ You bring a collaborative and inclusive mindset, show respect for cultural differences in a global environment, and ideally have a track record of publications, presentations or thought leadership in emerging areas such as AI/ML, real-world data integration or predictive biomarkers.
Are you ready to make a difference for our patients? We are looking forward to your application - join us now and become part of our journey!
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants ( .

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
This role is in the Statistical Methodology group, a core function within Product Development Data Sciences (PDD) that strives to enable the most impactful use of quantitative methodology at Roche through internal collaboration, external outreach, and continuous capability building.
**The Opportunity**
The Statistical Methodology group is a core function within Product Development Data Sciences, enabling the impactful use of quantitative methodology across Roche through internal collaboration, external outreach and continuous capability building.
As a Senior Statistical Methodology Data Scientist, you will play a strategic role in advancing the adoption of fit-for-purpose statistical methodologies that strengthen scientific rigor, evidence generation and decision-making across clinical development programs and portfolios. Acting as a methodological thought partner, you will collaborate with study teams, biostatisticians and cross-functional stakeholders to identify needs, prototype solutions and support scalable adoption through training, templates, frameworks and tools.
In this role, you will:
+ Provide expert methodological guidance to study teams on complex study design, analysis strategies and quantitative decision-making across programs.
+ Lead the development and implementation of innovative statistical approaches, such as estimand frameworks, trial simulations, covariate adjustment strategies, model-based projections and quantitative go/no-go frameworks.
+ Translate methodological insights into scalable solutions, including templates, training, open-source tools and best practices that strengthen analytical excellence across the organization.
+ Support portfolio-level analyses, scenario modeling and quantitative frameworks that inform clinical strategy, optimize development decisions and enable evidence-based prioritization.
+ Represent Roche externally through scientific collaborations, consortia, working groups, publications or regulatory-facing initiatives, helping the organization stay at the forefront of methodological advances.
**Who You Are**
+ You hold a PhD, in Statistics, Data Science, Computer Science or another related quantitative discipline.
+ You have 2+ years of experience designing and applying advanced statistical or data science methods to complex biomedical data, ideally in clinical trial research or pharmaceutical development.
+ You bring strong expertise in statistical computing, advanced modeling and the development of novel or fit-for-purpose analytical solutions for complex datasets.
+ You are recognized as a technical expert and trusted thought partner, with the ability to translate complex methodology into clear recommendations for scientific, clinical and cross-functional stakeholders.
+ You have experience contributing to internal standards, capability building, training or strategic initiatives, and you enjoy mentoring others to strengthen methodological understanding and adoption.
+ You bring a collaborative and inclusive mindset, show respect for cultural differences in a global environment, and ideally have a track record of publications, presentations or thought leadership in emerging areas such as AI/ML, real-world data integration or predictive biomarkers.
Are you ready to make a difference for our patients? We are looking forward to your application - join us now and become part of our journey!
Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Basel. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
This role is based in the Innovation Accelerator (IA) team, the innovation engine and connective tissue for Design, Data and Data Science innovation strategy within Product Development Data Sciences (PDD). We translate our long-term PDD vision into actionable strategy, shaping and prioritizing innovative cross-functional use cases that span PDD, PD, and Pharma. As both integrators and incubators, we explore, prototype, and help productize solutions to deliver impact in close partnership with internal Roche teams and external collaborators. With a mindset rooted in openness, value creation, and adaptability, we navigate the innovation ecosystem to drive transformative impact and future readiness across the organization.
**The Opportunity:**
+ You lead the design, development, and deployment of AI/ML agents that drive workflow efficiencies and operational insight
+ You identify high-impact opportunities for automation across the R&D data ecosystem and translate them into technical solutions
+ You design intelligent process monitoring and optimization pipelines leveraging structured and unstructured data
+ You prototype and productize AI agents that support internal users across PDD, including metadata enrichment, task routing, or data retrieval
+ You apply advanced techniques in NLP, system optimization, or process analytics in real-world business contexts
+ You collaborate with engineering, domain experts, and business stakeholders to ensure feasibility, usability, and value delivery
+ You contribute to cross-functional initiatives by representing the AI operations strategy and fostering scalable solution design
+ You provide technical leadership, share best practices, and guide junior colleagues in navigating operational AI use cases
**Who you are:**
+ You have a Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, Biomedical Informatics, or a related field
+ You have a minimum of 8 years of experience designing and delivering AI/ML solutions with measurable operational impact; or an advanced degree with 6 years of equivalent work experience
+ You have deep expertise in Python software development and AI libraries (e.g., PyTorch, Tensorflow, scikit-learn, Transformers, Langchain/Langgraph, Autogen)
+ You have a track record of applying AI or automation to optimize internal workflows or business processes
+ You are familiar with operational data, ML pipelines, and AI productization frameworks
+ You have a deep understanding of model reproducibility, interpretability, and validation best practices
+ You have capacity for independent thinking and ability to make decisions based upon sound principles
+ You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond technical domain
+ You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
+ You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language
+ Experience developing and deploying operational agents, RAG pipelines, or domain-specific LLM applications
Preferred:
+ Familiarity with monitoring tools for system performance and workflow analytics
+ Knowledge of best practices in MLOps, DevOps, and collaborative AI development
+ Contributions to open-source or internal AI tooling in the automation or productivity space
Relocation benefits are not available for this posting
\#PPDT
\#PDDBasel
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**

Senior Data Scientist, GeminiApp, DeepMind
_corporate_fare_ DeepMind _place_ Mountain View, CA, USA; New York, NY, USA; +3 more; +2 more
_info_outline_
XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; Zürich, Switzerland** .
**Minimum qualifications:**
+ Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
+ 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
**Preferred qualifications:**
+ Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence.
**About the job**
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $ - $ (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies.
+ Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives.
+ Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience.
+ Advocate data-driven culture by feeding user engagement insights back into models.
+ Collaborate with the GenAI team on model quality and feature adoption.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Job Location
GENEVA BUSINESS CENTER
Job Description
Interested to proof your technical excellence on the cutting edge of Agentic AI? And see your technical work have a real-world impact at scale?
As an Agentic AI Data Scientist / Engineer, you will be part of P&G's Geneva AI Hub of experts. You will constructively disrupt AI and Data Science - designing better AI systems, innovating on new modelling approaches and finding creative solutions for wicket problems with latest AI tech. You will develop others as a technical coach and lead or actively participate and contribute to a community of practice group. Lastly, you will become a known expert on one or multiple AI, Data Science or Engineering techniques and quantify improvement in business areas resulting from the use of the algorithms and modeling.
Key Responsibilities:
+ Directly contribute to the design and development of scaled AI and Agent algorithms - defining the right problem to solve and measurement/evaluation strategies, selecting AI techniques, proofing solutions, solving engineering challenges, etc.,
+ Understand P&G's business context, processes - and make P&G's data for your use case,
+ Work with Data and Software Engineering teams to productionize algorithms,
+ Apply thorough technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building,
+ Develop others as a technical coach and drive scale / reuse of what you created,
+ Become a known expert on one or multiple AI echniques.
Job Qualifications
+ Demonstrated depth of applied AI & IT skills across, with at least 2 years of relevant professional experience,
+ Robust STEM education (minimum: Master degree) with knowledge and passion for Agentic AI. Up todate with the state of the industry,
+ Proven communciation and collaboration skills - working as a team, taking the lead and initiative to continuously improve,
+ Agiltiy in adopting fast-changing AI tech - while being grounded and interested in the business problem to solve.
WHAT WE OFFER:
+ Responsibilities as of Day 1 - You will be given concrete projects and feel the ownership for them from the beginning,
+ A permanent employment contract with a competitive salary, yearly performance-based compensation reviews, and a wide range of social benefits,
+ Continuous coaching & mentorship- We are passionate about our work. We will make sure you receive both formal training and regular mentorship from your manager and others,
+ Dynamic and respectful work environment - We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.
+ Competitive salary over 13 months with annual compensation review,
+ Yearly bonus based on business unit and company performance,
+ Contribution to medical insurance,
+ P&G stock purchase program with Company match,
+ Attractive Company pension plan (2nd pillar) incl. life and disability insurance,
+ Annual Flex Fund of 3,000 CHF gross to support your Wellbeing across a large menu of choices,
+ Holidays: 25 days per year with option to purchase up to 2 additional weeks per year.
APPLY NOW!
Apply by clicking on the button below.
Have your CV in English ready to attach (include examples of the challenging experiences you have had both within and outside academia).
Please note individual attachments cannot be larger than 500 KB.
At P&G, we value respect, diversity, and inclusion. We create an equal opportunity environment where everyone has the same access and chance to learn, grow, succeed, and develop. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected factor.
Our Hiring Process ( is flexible and accessible to ensure equal opportunity and the ability to start your journey with us. We adapt to your needs from application to interviews. To learn more about the P&G Disability Accommodation process, click here ( .
Immigration sponsorship is available only for candidates with EU/EFTA (from Switzerland, Iceland, Liechtenstein, Norway) nationalities due to legal restrictions. For all candidates with non-EU/EFTA nationalities, we strongly encourage you to check our jobs in the other countries in which we operate. We might have a great career opportunity waiting for you elsewhere.
Job Schedule
Full time
Job Number
R
Job Segmentation
Experienced Professionals

Senior Data Scientist (w/m) 80 - 100%
Die NZZ gehört zu den bedeutendsten privaten Medienunternehmen der Schweiz. Wir konzentrieren uns auf qualitativ hochstehende, unabhängige Publizistik und vertreten eine liberale Weltanschauung. Mit unseren Produkten bieten wir unseren Nutzerinnen und Nutzern täglich Orientierung und Inspiration. Neben den beiden Flaggschiffen «Neue Zeitung» und «NZZ am Sonntag» gehören diverse weitere Titel, Veranstaltungsreihen, Podcasts und TV-Formate zum Portfolio.
Senior Data Scientist (w/m) 80 - 100%
Data Science ist von zentraler Bedeutung für unsere Mission, datengestützte Entscheidungen zu treffen und innovative, datenbasierte Produkte zu entwickeln. Als erfahrener Data Scientist weisst du eine erfolgreiche Erfolgsbilanz im Erzielen von Business Impact und Optimierungen durch den Einsatz von Data Mining und Machine-Learning-Techniken vor und unterstützt unser Team per 1. September 2026 oder nach Vereinbarung als
Deine Aufgaben
Entwicklung und Implementierung neuer Datenprodukte zur Unterstützung der Zielgruppensegmentierung sowie zur Optimierung des Commercial Funnels und der User Journey
Verantwortung für den gesamten Modelllebenszyklus – von der Ideenfindung und dem Experimentieren bis hin zu Implementierung und Monitoring
Durchführung explorativer Datenanalysen, um Trends, Muster und wertvolle Erkenntnisse aufzudecken
Enge, funktionsübergreifende Zusammenarbeit mit dem Growth Tribe und dem Marketing Team, um Geschäftsziele in datengetriebene Lösungen zu überführen
Durchführung komplexer Analysen, inklusive professioneller Aufbereitung und Präsentation der Ergebnisse
Förderung von Best Practices in der Data Science, insbesondere in Bezug auf Codequalität, Experimentierfreude und Reproduzierbarkeit
Etablierung und Förderung moderner Standards in den Bereichen Code-Qualität, Versionierung, Reproduzierbarkeit und agiler Projektmethoden (z.B. Kanban/Scrum) innerhalb des Data-Szenarios
Dein Profil
Master-Abschluss in Mathematik, Statistik, Informatik oder einem anderen quantitativen Fachgebiet
Mindestens 5 Jahre Berufserfahrung im Bereich Data Science sowie fundierte theoretische und praktische Kenntnisse in Statistik, Maschinellem Lernen (Predictive und Prescriptive)
Ausgezeichnetes Verständnis für Versuchsplanung, A/B-Testing und datengetriebene Entscheidungsfindung
Erfahrung und Verständnis für die User Journey und Commercial Funnels; Erfahrung mit Paywall- und Abonnementmodellen ist wünschenswert
Praktische Erfahrung mit der Google Cloud Platform (GCP), einschließlich Vertex AI
Sehr gute Programmierkenntnisse in und SQL
Gute Kommunikationsfähigkeit in Englisch und Deutsch (mind. Niveau B) und die Fähigkeit zur funktionsübergreifenden, effektiven Zusammenarbeit mit technischen und nichttechnischen Stakeholdern
Unternehmerische Denkweise und eine ausgeprägte "Can-Do"-Mentalität, geprägt von hoher Eigeninitiative und einer pragmatischen, lösungsorientierten Arbeitsweise
Unser Angebot
In dieser Funktion bist du eine wichtige Schnittstelle im Tribe Growth (Organisationseinheit Technologie). Du stellst selbständig und eigenverantwortlich die datengetriebene Innovation sowie das Lifecycle- und Qualitätsmanagement unserer Machine-Learning-Lösungen und Datenprodukte in Abstimmung mit dem Team sicher.
Arbeitszeitgestaltung: Wir unterstützen die Vereinbarkeit von Beruf und Privatleben mit modernen Arbeitsmodellen (flexible Arbeitszeiten bei einer 40-Stunden-Woche (100%), tw. Arbeit im Homeoffice, am Geburtstag , 5 Wochen Ferien mit der Option zum zusätzlichen Ferienkauf, etc.
Tolle Arbeitsumgebung: Unser Büro liegt zentral «am Bellevue» im Herzen von Zürich – mit Blick auf das Opernhaus und den See und in Gehdistanz zu diversen Restaurants und Einkaufsmöglichkeiten.
, HR Business Partner
jid54559daws jit0729ws jiy26ws

Senior Data Analyst & Data Scientist
Rund 3000 Mitarbeitende von RUAG und RUAG Real Estate leisten jeden Tag einen wesentlichen Beitrag zur Sicherheit der Schweiz. Sie sorgen dafür, dass die Armee sowie andere Einsatz- und Sicherheitsorganisationen ihre Aufgaben jederzeit umfassend wahrnehmen können.
Senior Data Analyst & Data Scientist
80-100%
Bern
Das kannst du bewegen
Entwicklung, Pflege und Weiterentwicklung von Analysen und Reports in Qlik Sense
Mitgestaltung und Aufbau neuer Analytics-Services (z.B. Planungsservice, Predictive Analytics) sowie deren Bereitstellung für das Business zur gemeinsamen Entwicklung konkreter Use Cases
Betrieb, Optimierung und Ausbau des eingesetzten on premise Analytics Toolstack
Einbringen und Etablieren von Best Practices rund um Business Intelligence, datengetriebene Planung und Künstliche Intelligenz im Team
Beratung und Unterstützung der Businessabteilungen bei der Anforderungsspezifikation sowie bei Anliegen rund Analytics
Förderung der Data Literacy im Unternehmen
Das bringst du mit
Studium in (Wirtschafts-)Informatik, Data Science oder eine vergleichbare Qualifikation
Vertiefte, mehrjährige Erfahrung in der Entwicklung von Analysen und Reports mit Qlik Sense, idealerweise in einem on premise Umfeld
Nachgewiesene konzeptionelle und praktische Erfahrung im Bereich Machine Learning und Data Science sowie fundierte Kenntnisse in
Solides Verständnis von ETL-Prozessen, Datenmodellierung und relationalen Datenbanktechnologien – MSSQL- und Talend-Kenntnisse sind ein Plus, jedoch kein Schwerpunkt dieser Rolle
Kenntnisse im Umgang mit SAP S/4HANA
Erfahrung in der Arbeit innerhalb von Matrixorganisationen sowie Fähigkeit, komplexe analytische Sachverhalte verständlich gegenüber nicht-technischen Stakeholdern zu kommunizieren
Strukturierte, qualitäts- und lösungsorientierte Arbeitsweise mit Fokus auf Delivery sowie ausgeprägte Eigeninitiative
Sichere Kommunikation auf Deutsch in Wort und Schrift, gute Englischkenntnisse sind ein Plus
Erfüllst du nicht alle Voraussetzungen hundertprozentig? Bewirb dich trotzdem. Wir sind stets auf der Suche nach talentierten und motivierten Personen, die unser Team bereichern möchten. Wir legen grossen Wert auf Vielfalt und Chancengleichheit und unser Ziel ist es, ein vielfältiges Team aufzubauen, in dem alle ihre persönlichen Stärken voll entfalten können. Wir ermutigen insbesondere alle Personen, unabhängig von ihrem Geschlecht, die möglicherweise Bedenken haben, eine Stelle in einem armeenahen Umfeld anzunehmen, sich zu bewerben.
Über den Bereich
Du suchst eine neue Herausforderung und möchtest dein Wissen und deine Leidenschaft in einem Team von langjährigen Experten einbringen? Du weisst, wie man aus Daten konkreten Businessmehrwert erzeugt und bringst Erfahrung von descriptive bis prescriptive Analytics mit? Dann melde dich bei uns. In unserer Abteilung Data & Analytics treiben wir den Wandel unserer Datenplattform aktiv voran – vom klassischen BI hin zu einer integrierten on premise Data Plattform. Für die Verstärkung unseres Teams und das weitere Vorantreiben des Wandels suchen wir eine erfahrene Persönlichkeit, die technisch überzeugt und Freude daran hat, echten Impact zu schaffen.
Deine Vorteile
Lohn und Nebenleistungen
Wir bieten dir ein leistungsorientiertes- und marktgerechtes Salär, 13 Monatslöhne sowie grosszügige Prämien- und Zulagen. Zusammen mit weiteren Nebenleistungen ergibt sich daraus ein attraktives Gesamtpaket.
Wir legen grossen Wert darauf, dass unsere Mitarbeitenden ein gesundes Gleichgewicht zwischen Beruf und Privatleben finden. Darum bieten wir unter anderem flexible Arbeitszeiten und Homeoffice-Optionen an.
Flexibles Arbeiten
Vergünstigungen
Bei RUAG profitierst du von Vergünstigungen in den Bereichen Mobilität und Verpflegung. Zudem profitierst du auf unserem Benefit-Portal von attraktiven Angeboten und hast Flottenrabatte bei verschiedenen renommierten Automarken.
Aufstiegs- und Weiterbildungsmöglichkeiten
Das Potenzial unserer Mitarbeitenden zu fördern und zu entfalten ist uns wichtig. Durch Schulungen, Kurse und Weiterbildungen unterstützen wir sie dabei, ihre Fähigkeiten kontinuierlich auszubauen um ihre beruflichen Ziele zu erreichen.
Freizeitangebote
Unsere Mitarbeitenden liegen uns am Herzen. Deshalb schenken wir ihnen zum Geburtstag einen freien Tag, bieten ein vielfältiges Sportangebot und die Möglichkeit, ergänzend zum jährlichen Ferienguthaben zusätzliche freie Tage gegen Lohnabzug zu beziehen.
Deine Ansprechperson
Stefanie Pascarella
Talent Acquisition Specialist
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