92 Jobs für Ki-Spezialisten in Schweiz

Lohn - CHF115' '000
Unser ROCKEN Partner ist einer der bedeutendsten unabhängigen Informatikunternehmen der Schweiz. Die Kernkompetenzen unseres Partners liegen seit fast 50 Jahren in der Entwicklung von massgeschneiderten Softwarelösungen auf allen marktrelevanten Systemumgebungen. Für Ihre Mitarbeiter bietet unser Partner nicht nur professionelle sondern auch persönliche Unterstützung und Weiterbildung.

Rolle
In dieser Rolle verantwortest du die strategische Weiterentwicklung komplexer digitaler Produkte und steuerst interdisziplinäre Teams mit deinem fundierten technischen und fachlichen Know-how. Du analysierst Geschäftsanforderungen, entwickelst tragfähige Lösungen und überführst diese in skalierbare Produkt-Roadmaps. Dabei setzt du Prioritäten entlang relevanter KPIs und steigerst kontinuierlich den Produktwert. Mit deiner ausgeprägten Stakeholder-Kommunikation sicherst du den Abgleich zwischen Business-Zielen und technischer Umsetzung. Du treibst Innovation und Effizienz voran und schaffst dabei nachhaltigen Mehrwert im Produktmanagement.

Verantwortung

• Du entwickelst praxisnahe Lösungen mit hochmodernen Machine-Learning-Modellen und Large Language Models, die echten Mehrwert für Kunden schaffen.
• In dieser Rolle gestaltest du aktiv ein neues Geschäftsfeld mit und bringst eigene Ideen wirkungsvoll ein.
• Du realisierst Prototypen mit Weitblick, die über die Codezeile hinaus gedacht sind und sich im Live-Betrieb bewähren.
• Als erfahrene Fachkraft verantwortest du nicht nur die Umsetzung, sondern prägst Vision und Richtung zukünftiger ML-Produkte mit.
• Du arbeitest an Projekten mit sichtbarem Impact – Lösungen, die im Alltag bestehen und nicht in der Schublade enden.
• In einem agilen, vertrauensvollen Teamumfeld nutzt du deinen Handlungsspielraum, um Innovation aktiv voranzutreiben.

Qualifikationen

• Du verfügst über eine Informatik-Ausbildung auf Bachelor- oder Masterstufe oder bringst eine gleichwertige Qualifikation mit
• Du hast fundierte Erfahrung im Aufbau und produktiven Betrieb von LLM- und ML-Modellen
• Du sorgst für eine skalierbare und stabile ML-Infrastruktur durch gezielte Optimierung und Überwachung
• Du erkennst Anomalien frühzeitig mithilfe von Dashboards und automatisierten Alarmierungen
• Du leitest Projekte fachlich versiert und bringst deine Expertise gezielt ein
• Mit deinem Engagement in der ML-Community und deiner offenen Art inspirierst du dein Team und förderst Innovation

ROCKEN Jobs

Profil Erstellen

• upload
• new

Pensum:
80-100%

Standort:
Zürich (schweizweit)

Was dich erwartet:

• Beratung und Umsetzung
  von spannenden
  Data Science & AI
  Kundenprojekten
• Entwicklung praxisnaher
  Machine Learning- und GenAI-Lösungen
• Aufbau und Deployment von
  Algorithmen und Modellen
  in der
  Cloud
• Datenanalyse und Übersetzung in
  businessrelevante Insights
• Gestaltung von
  Prozessen und Pipelines
  , um Modelle produktiv nutzbar zu machen
• Arbeit mit
  Cloud-Technologien
  wie
  Azure, AWS oder GCP
• Weiterbildung und Wissensaustausch
  im Team zu neuen Trends & Methoden
• Mitarbeit in einem
  innovativen, dynamischen Umfeld
  mit viel Gestaltungsspielraum

Mit was du uns begeisterst

• Sehr gute Kenntnisse in
  Python und SQL
• Erfahrung in
  Software Engineering-Praktiken
  (OOP, Tests, Git, Packaging, Code Reviews)
• Praxis in der Umsetzung von
  Cloud-Projekten
  (Azure bevorzugt) oder hohe Lernbereitschaft
• Wissen oder Interesse an
  GenAI, LLMs und Azure AI Services
• Erfahrung in
  MLOps / CI/CD
  und dem Deployment produktiver Lösungen
• Praxis im Aufbau von
  ML-Pipelines und End-to-End Projekten
• Erfahrung mit
  Tools wie MLflow, ML Studio oder Git
• Kenntnisse in
  Snowflake und/oder Databricks
  für datengetriebene Projekte
• Kommunikationsstärke auf
  Deutsch und Englisch
  sowie analytisches Denkvermögen

About us

mecas.
is a private AI lab on a mission to unlock the full potential of European companies.

We work with companies across industries to build and deploy AI solutions that drive real business value.

Our approach:
We bridge cutting-edge academic research with real-world business impact. Through active partnerships with leading universities and research institutions, we tackle hard technical problems that push the boundaries of what's possible in commercial AI applications.

Our culture:
Full ownership, excellence-driven, high trust (no micromanagement). We go the extra mile in everything we do.

What to expect:
Work at the forefront of AI applications in a fast-paced, startup-like environment.

The Role

We're looking for a
Data Science Intern
who wants to make a real impact from day one. This isn't a typical internship where you'll be shadowing others - you'll take ownership of a full project, working with real-world manufacturing data to tackle meaningful business challenges.

Your main project:

• Drive a quality control optimization
  initiative for a manufacturing operation
• Work with real production data
  from an active manufacturing facility
• Investigate root causes of production failures
  using advanced data analysis techniques
• Develop and train predictive ML models
  to anticipate quality issues before they happen
• Present findings directly to client stakeholders
  and see your recommendations implemented

Beyond your core project:

• Opportunity to contribute
  to LLM-based platform development projects
• Collaborate with senior engineers
  on cutting-edge AI applications
• Gain exposure
  to diverse industries and AI use cases across our client portfolio

What We're Looking For

Required:

• Master's degree
  (completed or in progress) in STEM fields with focus on
  Data Science, Statistics,
  or related quantitative disciplines
• Strong programming skills in
  Python
  and data science libraries (pandas, scikit-learn, matplotlib/plotly)
• Experience with
  statistical analysis, hypothesis testing,
  and experimental design
• SQL and database
  experience for working with production datasets
• Machine learning fundamentals
• classification, regression, model evaluation
• Ability to
  translate complex analyses
  into clear, actionable insights
• Self-motivated
  and comfortable taking ownership of projects

Nice to have:

• Experience with
  dashboard creation
  tools (Streamlit, Dash, Tableau, or similar)
• Knowledge of
  manufacturing processes
  or industrial data
• MLOps experience
• model deployment, monitoring, version control
• Background in
  time series analysis
  and forecasting
• Interest in
  LLM applications
  and modern AI technologies

Why This Internship is Special

• Real responsibility:
  You'll own a complete project from data exploration to model deployment, not just assist with someone else's work.
• Production impact:
  Your models will be deployed in a real manufacturing facility, affecting actual business operations and quality outcomes.
• Client exposure:
  Work directly with industry professionals and present your findings to decision-makers.
• Diverse learning:
  Exposure to both traditional data science and cutting-edge AI technologies like LLMs.
• Flexible arrangement:
  50%-100% commitment with primarily remote work and occasional client visits in Zurich.
• Research connection:
  Opportunity to work at the intersection of academic research and commercial application.

What We Offer

• Competitive internship compensation
  based on your commitment level (50%-100%)
• Flexible work arrangement
• primarily remote with travel to Zurich for client meetings as needed
• Real-world experience
  that makes a difference on your resume and portfolio
• Mentorship
  from experienced AI engineers and researchers
• Access to cutting-edge tools
  and technologies
• Potential for future opportunities
  within our growing team
• Project ownership
  that you can showcase in future applications

Ideal For

• Master's students
  looking for a challenging, hands-on internship experience
• Working students
  who can commit 50%-100% time flexibly
• Recent graduates
  wanting to bridge academic knowledge with industry application
• Anyone passionate about
  turning data into actionable business insights

Ready to Make an Impact?

If you're excited about owning a real project that affects actual business operations while learning cutting-edge AI techniques, we'd love to hear from you.

Apply now:
Email us at

• Include "Data Science Intern" in your subject line
• Share examples of your data science work (GitHub repos, projects, or academic work)
• Tell us about a data problem you've solved and what insights you discovered
• Tell us about your availability and preferred commitment level (50%-100%), plus your intended duration (minimum 4 months, ideally 6+ months)

To support teaching, research and knowledge transfer, the IT Services (ITS) of ETH Zurich are working as a service organization in a large and complex IT environment. Within the ITS section Scientific IT Services the group Computational & Data Science Support (CDSS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and optimizing such software to high-performance and cloud computing infrastructures.

We are looking for a Data Science Expert with a strong background in GenAI technologies to join ETH's Scientific IT Services. The primary focus will be on ETH's recent initiative to build a generic, scalable and extensible "AI platform" with services and functionalities for teaching, research and administration. Additionally, this role will encompass work on other ML and scientific computing projects, providing opportunities to support diverse research and computational needs across the institution.

• Your primary focus will be on ETH's AI platform project, where you will gather requirements, conduct feasibility studies, and perform technical assessments for GenAI solutions across the domains of teaching, research, and administration.
• You will develop prototypes of GenAI workflows customized to client needs, including Retrieval Augmented Generation (RAG) bots and AI Agents.
• You will document and help integrate these prototypes and new functionalities into ETH's AI platform.
• You will also investigate emerging tools and technologies relevant to the platform's evolution.
• Beyond the AI platform, you will contribute to diverse machine learning projects across ETH's research and administrative domains, developing and implementing scientific computing solutions to support various projects.
• Throughout all your work, you will prepare and present teaching materials on GenAI best practices and broader ML topics.
• Your role also requires effectively communicating with and managing relationships across diverse stakeholders (e.g., Educational IT Services, Unit for Teaching and Learning, ETH AI Center, ETH Library), from technical experts to non-technical users.

This position requires

• PhD degree in data / computational sciences or related field
• Good understanding of the mathematical and numerical foundations of machine learning, statistical analysis and modeling
• Proficiency in Python and its ML tech stack / libraries such as TensorFlow, PyTorch and scikit-learn
• Experience with GenAI frameworks and orchestration tools such as LangChain, LangGraph, LlamaIndex, or similar libraries for building LLM applications
• Working and development experience with various model architectures such as transformers, as well as classical ML approaches
• Experience in building chatbots, conversational agents or RAG (Retrieval-Augmented Generation) systems and related technologies such as embeddings or vector databases/extensions (Milvus, Chroma, pgvector, etc.)
• Experience in applying software engineering best practices including automated testing, version control (Git), CI/CD pipelines, and containerization technologies (e.g., Docker)
• Ability to work effectively across diverse technical projects and adapt methodologies to different scientific computing challenges

Advantageous are

• Good understanding of prompt engineering and prompt optimization strategies
• Experience with cloud platforms (e.g., Azure) and their ML services
• Previous working experience in developing / applying GenAI technologies in the areas of teaching and learning
• Understanding of responsible AI / AI ethics such as mitigation, hallucination detection, safety filters, interpretability

In addition to the above analytical and technical abilities, this position demands a strong interest in and ability to work with experts from various fields of expertise (also non-technical ones) and translating their requirements to solutions. This requires very good communication skills in English (German is an asset), solid project management skills and a service-oriented attitude to effectively establish a fruitful and successful collaboration with our partners.

The position is located in Zurich, though occasional travel to other Swiss cities will be required.

• Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society.
• This position is a unique working opportunity to contribute to an exciting ETH initiative of building a state-of-the-art AI platform aimed at providing useful and powerful GenAI services to the diverse academic community of ETH Zurich.
• Scientific IT Services provide a stimulating work environment for knowledge sharing and exchange and possibilities for engagement around a vast spectrum of areas in scientific IT as well as for further education.
• We are committed to flexible and family-friendly working models and a healthy work-life balance.
• ETH Zurich supports a policy of diversity as well as inclusion and we particularly encourage female candidates to apply.
• You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits.

This contract will be for a period of one (1) year, with possibility of renewal subject to budgetary considerations.

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

We look forward to receiving your online application with the following documents:

• Motivation letter
• CV
• Diplomas and work certificates
• Contact information of at least two references

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about Scientific IT Services can be found here. Questions regarding the position should be directed to Dr. Tarun Chadha at or Dr. Thomas Wüst at (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

Your Team Responsibilities

We are seeking a sharp, energetic, and organized Intern to join the MSCI in a collaborative team of climate researchers, financial modelers, and software engineers. This 6-month-internship offers a unique opportunity to contribute to the future of climate-related finance. As a core member of the team, you will help translate pressing environmental challenges into finance-related metrics that guide the investment decisions of some of the world's largest investors.

The team you would work with focuses on the development of climate transition risk models and datasets for private assets—covering both corporates and real estate—for use by financial institutions, banks, and asset owners.

The Team's Work Includes

• Building advanced models in Python, leveraging Google Cloud Platform (GCP) and Microsoft Azure.
• Delivering large datasets and model calculations to clients via APIs.
• Developing AI-driven solutions for automated document extraction and sustainability analysis.
• Producing Transition Risks, Carbon Footprinting, and Temperature Alignment metrics for private real estate and corporates.

This team plays a pivotal role in advancing the tools and metrics that investors need to evaluate and manage climate transition risks.

This role can be based in either the Zurich or Geneva office
Your Key Responsibilities

• Develop methodologies, models, metrics, and interactive tools to assess climate risk in investments.
• Contribute to software and data science projects related to climate risk, including data analysis, statistical modeling, and software development.
• Collaborate within a cross-functional team of researchers, industry analysts, technologists, and client-facing colleagues.
• Anticipate potential challenges and opportunities, and adapt quickly to evolving circumstances.
• Write, maintain, and validate model documentation and methods.

Your Skills And Experience That Will Help You Excel

• Experience in data manipulation and software development, particularly with Python, Pandas, and NumPy.
• Background in machine learning and artificial intelligence.
• Demonstrated interest in climate science, environmental modeling, and sustainability.
• Excellent written and verbal communication skills.
• Currently enrolled in a master's degree program
• Self-motivated, proactive, and a logical thinker.

About MSCI
What we offer you

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
• Flexible working arrangements, advanced technology, and collaborative workspaces.
• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
• Global Orientation program to kickstart your journey, followed by access to our platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
• We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

To all recruitment agencies
MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

Note on recruitment scams
We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on

Eraneos ist eine internationale Beratungsgruppe für Strategie, Transformation und Technologie, die Unternehmen dabei unterstützt, in einer dynamischen digitalen Welt erfolgreich zu sein.

Mit erstklassigen Expertinnen und Experten aus Business und Technologie befähigen wir unsere Kunden, neue Massstäbe für nachhaltige Transformationen zu setzen – von der Strategie bis zur Umsetzung. Ob bei der Gestaltung zukunftsfähiger Organisationen, der Erschliessung neuer Potenziale durch Daten und KI oder der Absicherung von Unternehmen durch ganzheitliche Cybersicherheit: Wir liefern Resultate pragmatisch und zielgerichtet.

Unser Team von rund 1.100 engagierten Mitarbeitenden ist in Büros in der Schweiz, Deutschland, den Niederlanden, Spanien, Dänemark, Österreich, Grossbritannien, Singapur und den USA vertreten und verbindet globale Perspektiven mit starken lokalen Wurzeln. 2023 erzielte Eraneos einen Umsatz von über 260 Millionen Euro.

Das ist der Job - Deine Hauptaufgaben

In unserer aktiven, motivierten Community von rund 50 Data & AI Berater:innen in der Schweiz arbeitest du kundennah und «an der Front» in verschiedenen Projekten mit, um mit quantitativen Methoden die Herausforderungen unserer Kunden zu lösen. Der Wissensaustausch mit der Community und das aktive Mitdenken und Mitgestalten unserer stark wachsenden Dienstleistungen gehören ebenfalls mit dazu. International können wir auf ein Netzwerk von über 150 Spezialistinnen und Spezialisten zurückgreifen.

Deine Aufgaben umfassen:

• Beratung des Kunden zu Themen rund um Data & AI, Verstehen der Herausforderungen des Kunden und Ableiten von passenden Lösungsvorschlägen
• Durchführung von Kundenprojekten in verschieden Rollen
• Unterstützung in der Akquise von neuen Projekten
• Möglichkeit, Eraneos und insbesondere das Data & AI-Team mitzugestalten

Dieser Job ist für dich, wenn

• Du es liebst, Probleme zu lösen und du helfen möchtest, die Herausforderungen unserer Kunden mit den passendsten Mitteln anzugehen.
• Du in Data Science- und Data Analytics-Themen, -Methoden und -Tools fit bist und über Implementierungs-Erfahrung verfügst, beispielsweise in Python, SQL, pandas, pytorch, tensorflow, keras.
• Du nach dem üblichen Data Engineering komplexe Sachverhalte mit Visualisierungen verständlich machen kannst, z.B. mittels matplotlib, seaborn, streamlit.
• Du gerne adressatengerecht Fachunkundigen Data Science-Herausforderungen und -Herangehensweisen erklärst.
• Du eine kommunikative Persönlichkeit bist und du Spass daran hast, mit Kolleginnen und Kollegen und verschiedenen Kunden zusammenzuarbeiten.
• Du bereits über praktische Beratungs- und Projekterfahrung verfügst auch ausserhalb der Forschung und du eine praktische, ergebnisorientierte Mentalität hast.
• Du über einen ETH- oder Uni-Masterabschluss in einer quantitativen Disziplin verfügst, wie z.B. Data Science, Mathematik, Physik, Maschinenbau, Elektrotechnik oder Informatik.
• Deine Deutsch- oder Französisch-Kenntnisse verhandlungssicher sind und du Englisch sprichst.

Als i-Tüpfelchen bringst du mit

• Erfahrung im Umgang mit Datenbanken
• Ein gewisses Flair für «Hacking» und keine Angst vor der Kommandozeile
• Erfahrungen im Cloud-Umfeld
• Cloud-Zertifizierungen für Azure, AWS oder GCP

Dein nächster Schritt zur erfolgreichen Bewerbung

• Hüseyin als deine Ansprechperson freut sich auf deine Direktbewerbung über unsere Webseite (Lebenslauf, Diplome und Arbeitszeugnisse in PDF).

Diversity wird bei uns grossgeschrieben – zeig uns, was dich ausmacht und schick uns deine Unterlagen noch heute

*Bewerbungen per E-Mail sowie von Personaldienstleistern werden nicht berücksichtigt und direkt gelöscht.

50-100% (limited to 6-12 months)

Winterthur / Smart Working

We, the Data & AI Claims Team of the Competence Center Data & AI, are looking for you as a Working Student in the area of Data Science to strengthen our team. With great passion, we develop and operate data-driven, intelligent applications that deliver measurable business value in claims processing.

You will apply your analytical and methodological skills throughout the entire lifecycle of our applications – from data integration to productive operation in the cloud.

At AXA, you can expect a culture based on personal responsibility, allowing you to fully develop your strengths. We value critical thinking and constructive contributions, no matter which level of hierarchy they come from.

Your contribution

• Be part of our Data & AI Claims Team and, together with other data scientists and engineers, further develop existing use cases and support the implementation of new ones.
• Participate in the development of Machine Learning solutions applied to specific business challenges.
• Conduct statistical analyses and interpret the results to support decision-making.
• Share your knowledge with other team members and proactively contribute to the improvement of our applications.

Your capabilities and talents

• Hands-on experience in Python and SQL.
• Enthusiasm for new technical developments and a willingness to continually evolve in a dynamic environment.
• Good English skills.

What We Value Additionally

• Experience with cloud technologies, ideally GCP.
• Experience in conducting statistical analyses and modelling.
• Familiarity with MLOps and Git.
• Good German skills are a strong plus during candidate selection.

Around 600 software and system developers work for AXA in Switzerland and are developing tomorrow's technology inhouse. To do this, we are also working in global teams and networks. Our agile product teams organize themselves and work independently where they are responsible for everything from A to Z. Our tasks include programming, integrating the latest tools and arranging hackathons.

Your future workplace

Pionierstrasse 3, Winterthur, Switzerland

Company Description
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.

Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.

For more information:

Job Description
As our portfolio of work continues to grow, we are looking for an experienced Software Engineer to join our global data science and machine learning team, to help us:

• Lead: Make the right technology choices in the context of the team's projects
• Design: Ensure we design and build the models and tools to meet the functional/non-functional requirements, as well as being supportable
• Explore: Help the team understand and exploit emerging technologies
• Improve: Improve our software engineering skillsets, and grow as a team

The individual will work predominantly with our data scientists and machine learning engineers, but will also need to directly engage with the commercial teams (across trading, operations, support functions, etc.) as necessary.

The role will also act as a bridge between the Data Science team and other technology teams for areas like application integration, data sourcing, infrastructure and tooling.

For the successful candidate, this role will give them exposure across the machine learning lifecycle, being able to apply their skills wherever they can add value, from working with business stakeholders to help define the project, to data collation through to solution design and model implementation.

We are looking for a candidate who brings both a breadth and depth of experience, from a theoretical and practical perspective; but equally someone who is able to and wants to continue learning.

As a small team, everyone is expected to organise, prioritise and execute their own tasks; with a strong focus on maximising the business value from their actions. This means the individual will need to be comfortable working on multiple projects simultaneously, managing competing priorities and stakeholder requirements.

The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the 'art of the possible'.

Core Responsibilities include:

• In conjunction with the Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies
• Develop, test, maintain software tools and data pipelines for machine learning
• Provide software engineering and design expertise and best practices (Python) with a focus on maintainability, performance, and reliability
• Take ownership of key technical infrastructure
• Engage with projects at any point in their lifecycle, understand and debug bespoke applications; driving performance and reliability
• Manage relationships and priorities across projects, focused on maximising value
• Actively participating in and leading code reviews, experiment design and tooling decisions to help drive the team's velocity and quality

Qualifications
Essential Qualifications

• 3-5+ years in industry; fluency in Python with ability to design and write clean, modular, well-documented code and a solid understanding of coding best practices
• Master's degree in Computer Science or a related field
• Ability and desire to learn and apply new technologies
• Ability to logically evolve an architecture from prototype to product, considering technical debt and delivery risk
• Collaborative approach to problem solving - ability to effectively pair program
• Effective technical communicator - both written and verbal; able to translate loose designs into documentation / process / operating model
• Experience with data engineering, APIs, and cloud platforms (AWS/Azure/GCP) and containerization technologies (Docker)
• Experience with enterprise software development lifecycle and tooling including continuous integration and delivery concepts/technologies

Desired Experience

• Experience with machine learning workflows, cloud scale machine learning infrastructure (including LLMs), big data technologies (e.g. Spark)
• Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
• Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines

Personal Characteristics

• A self-motivated individual who thrives on seeing the results of their work make an impact in the business
• Strong communication skills, both verbally and in writing
• Proven ability to be flexible, work hard, and a sense for the art of the possible
• Methodical, organized and with an attention to detail - in general, in experimental design, and in code
• Willingness to share their knowledge and learn from others
• An interest in learning about the commodities space
• Resourceful, able to think creatively and adapt in a dynamic environment
• Team player, with an open non-political style and a high level of integrity
• Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows

Additional Information
What we offer

• Competitive salary and benefits package
• Large diversity of projects with real-world impacts on a truly global scale
• Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
• Close collaboration with various business units across our key regions (eg. London, Singapore, Houston, Geneva)
• A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit
• Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry
• Strong management commitment to incorporating machine learning into the future of Vitol's operations

Die Kultur von Galaxus basiert auf unseren Werten: kooperativ, innovativ, piratisch, eigenverantwortlich und ambitioniert. Wir feiern klares Feedback, das allen die Chance gibt, den eigenen Weg zu gehen und sich durch mega Erfolge und gemachte Fehler zu entwickeln. "Wachse mit uns. Mutig sein, echt bleiben." ist das Mantra, das Transparenz inspiriert und eine Kultur der Offenheit und des Wissensaustauschs stärkt.

Als führende Schweizer E-Commerce-Plattform, mit einem Team von über 3.000 Mitarbeitenden in der Schweiz, Deutschland und Serbien, ist Galaxus auf dem Weg in neue Märkte. Wir suchen Talente, die wissen, dass Vielfalt der Schlüssel zu Wachstum und Erfolg ist. Mutig und unkonventionell zu sein, wird bei uns nicht nur gefördert – es ist die DNA unserer Marke.

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 Aufgaben

• Nach 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 Fähigkeiten

• Du 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 Controlling
• Du 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 DevOps) 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 & Englisch

Warum 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 und bis zu 8 Wochen Workation.
• Schnelles Wachstum:
  Bei uns ist Wachstum eine kontinuierliche Reise. Damit auch du wachsen kannst erhältst du von uns pro Jahr 2000 EDU-Punkte Einmal Weiterbildung, bitte 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 Erfolg

Bei 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.

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