28 Jobs für Ml Engineer in Schweiz

**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience working with machine learning.
+ 3 years of experience with Large Language Models (LLMs).
+ Experience programming in Python.
+ Experience with SQL, Data Analytics, and coLaboratory.
**Preferred qualifications:**
+ Master's degree or PhD in Engineering, Computer Science, or a related technical field.
+ 8 years of experience with data structures/algorithms.
+ 3 years of experience working in an organization involving cross-functional, or cross-business projects.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
**Responsibilities:**
+ Lead and direct the quality efforts for Web Guide, serving as a Team Lead for engineers in Zurich. Set priorities for the quality of work, ensuring alignment with the Mountain View team and driving key weekly meetings.
+ Drive the implementation of AI-driven quality improvements for Web Guide. This includes prompting and distilling the latest Gemini models, writing AI raters, and performing an in-depth analysis of evaluations to launch improved product versions.
+ Contribute directly to product development and maintain high code quality. Write production-ready code, participate in and lead design reviews, and provide constructive feedback on code developed by peers to ensure best practices, accuracy, testability, and efficiency.
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:

Imagine leveraging your expertise in recommendation systems and data-driven personalization to directly improve the lives of millions of people living with hypertension. Hilo by Aktiia, is revolutionizing how cardiovascular health is monitored and managed.They’ve developed and commercialized the world’s first continuous blood pressure monitor, empowering both patients and physicians with unprecedented insights into blood pressure patterns. Backed by over $100 M in funding from top-tier investors across Europe and the US, Hilo is an early-stage, fast-growing startup rooted in over 20 years of research at the prestigious Swiss Center for Electronics and Microtechnology (CSEM). Their CE-certified, Class IIa medical device is already available in over 10 countries worldwide—and they’re just getting started.As Aktiia enters a new growth phase, we’re looking for a hands-on and pioneering Machine Learning Engineer to build the foundation of their new recommendation and personalization layer — shaping a capability that will sit at the heart of the product innovation.As Machine Learning Engineer focused on “ Personalization & Recommendations”, you will design and build the application layer that powers this next-generation engine — from user segmentation and clustering to insight generation and personalized, behavior-driven recommendations. This is a hands-on role for someone eager to create something new from the ground up.Your RoleApplication Layer DevelopmentDesign and build the foundation of Aktiia’s next-generation recommendation engine together with a cross-functional software team (~20 engineers).Dynamic User ModelingDevelop evolving user profiles that adapt continuously as new data and interactions are integrated.Insight GenerationTransform raw signals into clear, personalized, and engaging user-facing experiences.Cross-Domain AdaptationLeverage proven methods from recommendation-heavy domains (e.g. travel, streaming, commerce) and adapt them to digital health.End-to-End OwnershipDrive projects from prototyping and experimentation through testing, deployment, and iteration in production.CollaborationWork closely with product, data science, and engineering teams to ensure solutions are robust, user-friendly, and aligned with business goals.Pioneering RoleHelp Aktiia apply recommender system principles in a new domain, shaping something that has not been built before.Your ProfileAcademic BackgroundPh D or MSc in Informatics, Mathematics, Physics, Biology, Data Science, Signal Processing or related field.Professional Expertise4+ years of experience building and deploying recommendation systems in production, with expertise in personalization, clustering, and recommendation logic.Proven track record generating user-facing insights and iterating recommendation models at scale. Knowledge of reinforcement learning and its application to personalization and recommendation systems.Technical ExperienceStrong programming skills in Python with hands-on experience in modern ML/AI frameworks. Skilled in building, validating and deploying ML models. Familiar with data pipelines, cloud and best engineering practices. Experience with large language models (LLMs), including practical use of open-source models, RAG, embeddings, and fine-tuning.Industry FitPreferred background in recommendation-driven industries such as travel, streaming, e-commerce, advertising or digital marketing. Ideally from start-ups or mid-sized companies with end-to-end system ownership.Language SkillsEnglish at highly proficient level is a must. French, German or Italian are advantageous.PersonalityHands-on, execution-driven product builder with strong ownership, accountability, and customer focus. On top you are a strong team player!Do you want to build something that changes lives while advancing science and technology? Then we’re excited to meet you! jidb6f8a5aje jit0938je jiy25je

**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.
+ 2 years of experience with Large Language Models.
+ 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
+ 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
**Preferred qualifications:**
+ Master's degree or PhD in Computer Science or a related technical field.
+ 2 years of experience with data structures or algorithms.
+ Experience developing accessible technologies.
+ Experience with reinforcement learning.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The team works on new ways to search, with a focus on LLM modeling.
The goal is to find new under-explored opportunities to apply LLMs, make them work in the real world, and collaborate with other teams to scale them to their full potential.
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
**Responsibilities:**
+ Write a product or system development code.
+ Collect training data, and evaluate its quality.
+ Design and build evaluations.
+ Deploy models to production, measure and optimize their latency.
+ Run evaluation, analyze results and suggest modeling improvements.
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:

**Internship Opportunity: Data Science (Advanced Analytics Team)**
**At Abbott, we believe in empowering people to live healthier, fuller lives.** With a presence in over 160 countries and a diverse team of 114,000 colleagues, we're committed to innovation in diagnostics, medical devices, nutrition, and pharmaceuticals.
We are looking for a **curious, collaborative, and impact-driven Data Science Intern** to join our **Advanced Analytics team** at EPD's global headquarters in Basel. This is a unique opportunity to contribute to meaningful healthcare solutions while growing your skills in a supportive and inclusive environment.
**Location:** Allschwil-Basel, Switzerland
**Duration:** 6 months
**Division:** Abbott Established Pharmaceutical Division (EPD)
**Why Join Us?**
+ **Purpose-Driven Work** : Your contributions will help shape data-driven strategies that improve healthcare outcomes globally.
+ **Inclusive Culture** : We value diverse perspectives and foster a culture where everyone-regardless of gender, background, or experience-can thrive.
+ **Mentorship & Growth** : You'll work closely with experienced data scientists and receive guidance to support your professional development.
**What You'll Work On**
+ Explore ways to reduce latency in LLMOps pipelines using techniques like model distillation, caching strategies, and prompt engineering.
+ Research and propose frameworks for automating repetitive tasks using multi-agent collaboration.
+ Collaborate with senior data scientists to understand business challenges across operations, finance, and supply chain.
+ Conduct data exploration, cleaning, and visualization to uncover insights.
+ Support model development workflows including feature engineering and validation.
+ Document findings to promote knowledge sharing and reproducibility.
+ Stay curious and continuously learn about emerging technologies in AI and data science.
**What We're Looking For**
+ Currently pursuing a Master's degree in a relevant field (e.g., applied mathematics, computer science, engineering, statistics).
+ Experience with full-cycle data science projects and applying methods to real-world problems.
+ Familiarity with tools like LangChain, Hugging Face, and vector databases.
+ Programming skills in Python or R; knowledge of object-oriented languages is a plus.
+ Understanding of software engineering principles and testing frameworks.
+ Exposure to cloud platforms like AWS/SageMaker is a bonus.
+ Strong communication skills and a collaborative mindset.
+ Fluency in English; other languages are a plus.
**We Encourage You to Apply If You:**
+ Are passionate about using data to solve meaningful problems.
+ Enjoy working in diverse teams and learning from others.
+ Want to grow your career in a supportive and innovative environment.
**Ready to Make an Impact?**
Send us your CV (PDF format) and show us how your curiosity and skills can help shape the future of healthcare. We look forward to hearing from you!
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email

Internship Opportunity: Data Science (Advanced Analytics Team)We are looking for a curious, collaborative, and impact-driven Data Science Intern to join our Advanced Analytics team at EPD’s global headquarters in Basel. This is a unique opportunity to contribute to meaningful healthcare solutions while growing your skills in a supportive and inclusive environment.Location: Allschwil-Basel, SwitzerlandDuration: 6 monthsDivision: Abbott Established Pharmaceutical Division (EPD)Why Join Us?Purpose-Driven Work: Your contributions will help shape data-driven strategies that improve healthcare outcomes globally.Inclusive Culture: We value diverse perspectives and foster a culture where everyone—regardless of gender, background, or experience—can thrive.Mentorship & Growth: You’ll work closely with experienced data scientists and receive guidance to support your professional development.What You’ll Work OnExplore ways to reduce latency in LLMOps pipelines using techniques like model distillation, caching strategies, and prompt engineering.Research and propose frameworks for automating repetitive tasks using multi-agent collaboration.Collaborate with senior data scientists to understand business challenges across operations, finance, and supply chain.Conduct data exploration, cleaning, and visualization to uncover insights.Support model development workflows including feature engineering and validation.Document findings to promote knowledge sharing and reproducibility.Stay curious and continuously learn about emerging technologies in AI and data science.What We’re Looking ForCurrently pursuing a Master’s degree in a relevant field (e.g., applied mathematics, computer science, engineering, statistics).Experience with full-cycle data science projects and applying methods to real-world problems.Familiarity with tools like Lang Chain, Hugging Face, and vector databases.Programming skills in Python or R; knowledge of object-oriented languages is a plus.Understanding of software engineering principles and testing frameworks.Exposure to cloud platforms like AWS/Sage Maker is a bonus.Strong communication skills and a collaborative mindset.Fluency in English; other languages are a plus.We Encourage You to Apply If You:Are passionate about using data to solve meaningful problems.Enjoy working in diverse teams and learning from others.Want to grow your career in a supportive and innovative environment.Ready to Make an Impact?Send us your CV (PDF format) and show us how your curiosity and skills can help shape the future of healthcare. We look forward to hearing from you!Connect with us at , on Linked In at , on Facebook at  on News Global. jid3b694fdje jit0938je jiy25je

**The Position**
We advance science so that we all have more time with the people we love. A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organization, the Data and Digital Catalyst (DDC) organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
The Engineering - AI Enablement group within DDC is accountable for. enabling AI! We do this across the board with our scientific and computational partners based on their goals. We help embed our AI strategy across our research organizations by providing employees with the tools and support needed to adopt AI into our daily work-helping us work smarter and enhancing our day-to-day work. We also build and deploy AI based solutions that reshape and transform business processes in order to unlock value at scale and optimise workflows. We also work on scaling up model training and inference, evaluating the quality of AI/ML models and output, and building impactful applications which accelerate the scientists doing the critical work of drug discovery and development. Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success. Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing. We are aiming for AI/ML to be an everyday utility. The team is cross-functional, impact driven, independent, and constantly evolving to meet the scientific needs.
**The Opportunity:**
As a machine learning engineer in AI Enablement, you will be working closely with folks that span the gamut from Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients.
+ Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems.
+ Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
+ Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
+ Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.
+ Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques
+ Contribute to architectural decisions, code reviews, and the evolution of our development processes.
+ Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
+ Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.
**Who You Are:**
+ Master's or Ph.D. in Computer Science or similar technical field and 6+ years of professional experience in machine learning engineering roles (Principal Machine Learning Engineer); 12+ years (Senior Principal Machine Learning Engineer).
+ Strong proficiency with AI/ML frameworks, libraries, and toolsets.
+ Expert knowledge of statistics, machine learning theory, and algorithms.
+ Strong knowledge of ML performance optimization, GPU best practices.
+ Experience with kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud-native architectures in public clouds (ideally AWS).
+ Proven understanding and application of engineering best practices.
+ Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
+ Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.
**Preferred But Not Required:**
+ Experience with imaging or biological data and processes is a strong plus.
+ Experience working with scientists or in a research environment is advantageous.
+ Experience with workflow automation, GenAI, and/or agents is a plus.
This position requires onsite work 3 days per week.
The expected salary range for this position based on the primary location of California is $176,400.00-$27,600.00 (Princial MLE) and 199,700-370,900 (Senior Principal MLE). Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits ( benefits are available for this posting.
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 ( .

**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.
+ 2 years of experience with software development in C++, Python and SQL.
+ 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
+ 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
+ Experience with data analysis.
**Preferred qualifications:**
+ Master's degree or PhD in Computer Science or a related technical field.
+ 2 years of experience with data structures or algorithms.
+ Experience developing accessible technologies.
+ Experience with Big Data Processing.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The team's mission is to empower creators and safeguard the YouTube ecosystem. We achieve this by understanding creator behavior, identifying bad actors, and developing solutions that have a significant impact on the entire platform. We are not just about keeping the bad actors away, but also about helping creators thrive. We work with problems where ground truth is not always available and where abusers are constantly adapting. We look for engineers that enjoy solving hard problems, are comfortable with ambiguity and are passionate about making a difference.
In this role, you will be part of a team that finds ways to train classifiers and anticipates the next move of the abusers.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.
**Responsibilities:**
+ Conceive, build, and launch novel ML models and solutions, from initial idea to full production deployment, addressing and ambiguous problems.
+ Integrate ML classifiers from other teams, harmonizing them into a classification system that delivers unified insights.
+ Analyze problems, such as spikes in abuse or emerging platform vulnerabilities, to devise targeted solutions for mitigation and prevention.
+ Collaborate with a group of stakeholders across YouTube, including analysts, data scientists, and policy experts, advocating data-motivated solutions and influencing platform-wide strategies.
+ Be comfortable doing some amount of infrastructure work (e.g., launch a Machine Learning (ML) classifier). Work on designing and implementing data pipelines, optimizing system performance, or maintaining crucial classification infrastructure.
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:

Imagine leveraging your expertise in AI and data science to directly improve the lives of millions of people living with hypertension. Hilo by Aktiia, is revolutionizing how cardiovascular health is monitored and managed. They’ve developed and commercialized the world’s first continuous blood pressure monitor, empowering both patients and physicians with unprecedented insights into blood pressure patterns. Backed by over $100 M in funding from top-tier investors across Europe and the US, Hilo is an early-stage, fast-growing startup rooted in over 20 years of research at the prestigious Swiss Center for Electronics and Microtechnology (CSEM). Their CE-certified, Class IIa medical device is already available in over 10 countries worldwide—and they’re just getting started.As Aktiia enters a new growth phase, we’re looking for a capable and visionary “ Head of AI & Data Science” to scale their capabilities and lead a team that sits at the heart of the product innovation.As Head of AI & Data Science, you will be responsible for leading a cross-functional team of 12 experts (including 4 direct reports). You’ll report directly to the CTO and play a key role in aligning AI-driven development with product and business goals. We’re looking for a pragmatic leader with deep technical roots and a passion for making a real-world impact through AI and health technology!Your roleTeam & Project LeadershipOwn planning, prioritization, and execution of AI & Data Science initiatives. Align roadmaps with product requirements and drive timely delivery with your team.Cross-functional CollaborationAct as the operational bridge between AI, Product, Marketing, Customer Support teams and the CTO. Solve blockers and ensure smooth collaboration.People DevelopmentLead and grow a diverse team through coaching, recruitment, performance reviews, and day-to-day guidance – with a balance of empathy and results-orientation.External EngagementInterface with medical professionals, customers, and strategic partners. Incorporate feedback and deliver concepts, documentation, and visual materials.Process OptimizationDefine and implement workflows and structures that support scalable, efficient team operations.Your profileAcademic BackgroundPh D in Informatics, Mathematics, Physics, Biology, Data Science, Signal Processing or a related field.Technical Expertise5+ years of hands-on engineering experience in data science and ML/AI. Strong Python skills and familiarity with ML frameworks (Py Torch, Tensor Flow, Scikit-learn). Solid understanding of CNNs, RNNs and time series analysis. Medtech and signal processing knowledge (PPG, ECG) are a plus.Leadership ExperienceSeveral years experience of people management, ideallywith responsibility for 10+ team members. Experience in fast-paced environments and team transformationIndustry FitBackground in regulated industries (e.g. medtech, pharma, fintech, aerospace). Experience in startups or mid-sized companies preferred.Language SkillsEnglish at highly proficient level is a must. French, German or Italian are advantageous.PersonalityEnergetic, intellectually curious, hands-on and collaborative. A natural team leader who inspires others and leads with clarity and positivity.Do you want to build something that changes lives while advancing science and technology? Then we’re excited to meet you! jid7888c92je jit0938je jiy25je

Um unsere Kunden stets zuverlässig bedienen zu können, benötigen wir ausreichend Ressourcen: Mitarbeiter, Lagerflächen, Verpackungsmaschinen, Liquidität, um nur einige zu nennen. Dies zu gewährleisten, erfordert eine solide Planung.Kern unserer Planung ist die Nachfrageplanung. Aus dieser leiten wir die Entwicklung der Haupttreiber ab (z. B. Lieferungen, verkaufte Stückzahlen, Durchschnittspreise), anhand derer wir sehen, ob unsere physischen und personellen Kapazitäten reichen und anhand derer wir unsere Deckungsbeitrags- und Erfolgsrechnung modellieren.Unsere Aufgabe ist es, unserem Unternehmen kurz- mittel- und langfristige Planzahlen für die wichtigsten Treiber (Stück, Lieferungen) und daraus abgeleitete operative (z. B. Personalbedarf Logistik, Einkaufsvolumen) und finanzielle Kennzahlen (Entwicklung des Deckungsbeitrags, EBIT-Marge, etc.) zur Verfügung zu stellen. Wir analysieren Abweichungen von den Planwerten und unsere Erkenntnisse unterstützen die Geschäftsleitung bei der Entscheidungsfindung.Zur Verstärkung unseres Financial Planning & Analysis Teams suchen wir dich als Controller. Du verstehst betriebswirtschaftliche Zusammenhänge, hast Erfahrung in Unternehmensplanung sowie Controlling und bringst fundierte Kenntnisse in Data Science mit.Deine AufgabenNach der Einarbeitung übernimmst du Verantwortung für Teile der Budgetierung und Finanzplanung, wie z. B. die Planung des Deckungsbeitrags pro Warengruppe, die Personal-, oder Betriebskostenplanung, Planung der Investitionen, etc. Für die relevanten Annahmen holst du dir Input bei den Fachabteilungen oder Geschäftsleitungsmitgliedern.Systematische Abweichungen zwischen Plan und Ist nutzt du als Anregung für kontinuierliche Verbesserungen unserer Planung.Du analysierst Abweichungen zum Budget und kannst diese erklären. Dazu baust du dir ein fundiertes Verständnis unserer Daten und Prozesse auf und entwickelst Controlling-Instrumente (z. B. Tableau-Dashboards), welche die Arbeit unseres Finance Teams wie auch anderer Abteilungen erleichtern. Z. B. ist es uns wichtig, jederzeit eine belastbare Sicht auf die Kosten pro Lieferung zu haben und die Entwicklung von Warenmarge, Durchschnittspreis und Stück pro Lieferung erklären zu können.Du schreibst eigenständig SQL-Abfragen, um dir eine Datenbasis für Analysen zu schaffen, oder um Inputdaten für den Finanzplan aufzubereiten. Du automatisierst wiederkehrende Abfragen, indem du sie in die Job-Schedules unseres Datawarehouse einbindest und überwachst die Konsistenz der Daten.Um Forecasts zu erstellen, oder um eine komplexere Prozessierung von grösseren Datenmengen zu automatisieren schreibst du selbstständig Python Skripte.Deine FähigkeitenDu hast einen Hochschulabschluss in Betriebswirtschaft oder Wirtschaftsinformatik, einen Abschluss als Expertin in Rechnungslegung und Controlling oder eine gleichwertige betriebswirtschaftliche Ausbildung.Du hast mehrjährige Erfahrung in Unternehmensplanung und ControllingDu hast dir im Studium oder durch eine gezielte Weiterbildung Kenntnisse in Data Science angeeignet und verfügst über Kenntnisse in SQL und Python (Pandas, Numpy, Sklearn). Diese konntest du bereits in die Praxis umsetzen, bei der Analyse von grossen Datensets oder beim Schreiben von Skripten zur Automatisierung von Prozessen. Vielleicht kennst du dich auch bereits mit Git (Github / Azure Dev Ops) und Cloud Services (GCP) aus.Du bist motiviert, deine Kenntnisse in Finance und in Data Science weiterzuentwickeln.Du bist in der Lage, dir in kurzer Zeit neue technische Skills anzueignen (z. B. Anaplan).Die Bereitschaft, „wie es immer gemacht wurde“ in Frage zu stellen und effizientere, automatisierte oder effektivere Lösungen vorzuschlagen.Die Fähigkeit, sich an kontinuierliche Veränderungen im Arbeitsumfeld anzupassen.Sprachen: verhandlungssicher in Deutsch & EnglischWarum startest du bei uns?Kultur ist alles: Unsere Werte – kooperativ, innovativ, piratisch, eigenverantwortlich und ambitioniert – bilden die Grundlage unserer Reise.Mutig und unkonventionell: Dein Mut und dein innovativer Geist werden hier geschätzt. Wir stellen konventionelle Weisheiten in Frage und begrüssen diejenigen, die es wagen, anders zu denken.Unkompliziert: Einfachheit ist unser Kern. Wir vermeiden das Unnötige und konzentrieren uns auf das, was wirklich zählt – deine Entwicklung, unsere gemeinsamen Erfolge und das Meistern von Herausforderungen.Flexibilität und Freiheit: Wir glauben, dass Innovation und Kreativität in einem Umfeld gedeihen, in dem Flexibilität und Freiheit gelebt werden kann. Wir bieten Home-Office-Optionen, bis zu 8 Wochen Workation, und jede Position ist in einem% Pensum möglich.Schnelles Wachstum: Bei uns ist Wachstum eine kontinuierliche Reise. Damit auch du wachsen kannst erhältst du von uns pro Jahr 2000 EDU-Punkte für deine Weiterentwicklung.Weitere Vorteile: Profitiere von unseren Mitarbeitenden-Konditionen in unserem Online Shop, 25 Tagen Ferien, Galaxus Mobile zum Vorteilspreis und vielem mehr.Wir arbeiten im Team für den ErfolgBei Galaxus fördern wir Talente, indem wir uns mit Menschen aus unterschiedlichen Hintergründen zusammentun, um das beste Team zu bilden. Wir stehen für eine gleichberechtigte Behandlung und Chancen für alle, unabhängig von ethnischer oder nationaler Herkunft, Religion, sexueller Orientierung, Familienstand, Geschlecht, Geschlechtsidentität, Alter, Behinderung oder jedem anderen Status. Vielfalt ist unser Treibstoff für Innovation und eine Kultur der Offenheit und Zusammenarbeit. Bist du interessiert? Dann sende uns gerne deine Bewerbung inkl. Motivationsschreiben - wir freue uns darauf, dich kennenzulernen!   jid bje jit0938je jiy25je