Data Scientist

The Team, Role & Mission

Are you ready to transform your passion for data and AI into meaningful, scalable insights?
Orange Business Digital Services Switzerland is looking for a driven and experienced Data Scientist to join our AI team! Do you enjoy working with the latest technologies in machine learning, advanced analytics, and AI platforms, especially in the cloud? Then we'd love to meet you!

As a Data Scientist at Orange Business, you'll work on challenging projects with leading clients, applying data science and AI to uncover insights, build predictive models, and enable smarter decision-making. Think of designing end-to-end data pipelines, developing machine learning models, and leveraging modern AI platforms like Databricks to deliver real business value.

You'll be part of a multidisciplinary team of data scientists, engineers, and AI specialists focused on innovation, knowledge sharing, and impact. This is your chance to lead the way in a rapidly evolving data and AI landscape! The AI team is a new team within Orange, consisting of a close-knit group of specialists whose goal is to take AI to the next level for both Orange and our customers.

We combine our expertise in data science, engineering, machine learning, and cloud to develop innovative solutions with real impact.

• Design, develop, and deploy end-to-end data science solutions—from exploratory analysis to production-grade models—that directly contribute to our customers  strategic objectives;
• Collaborate with customers and partners to understand business challenges, define use cases, and translate them into data-driven solutions;
• Build and maintain scalable data and ML pipelines on the Databricks platform, leveraging Delta Lake, MLflow, and Unity Catalog;
• Perform in-depth data analysis, feature engineering, and statistical modeling to extract actionable insights;
• Apply current AI and GenAI techniques, including LLM integrations, prompt engineering, and AI-assisted analytics within the Databricks ecosystem;
• Monitor model performance and continuously improve solutions based on real-time feedback and evolving business objectives.

• A bachelor s or master s degree in Data Science, Statistics, Mathematics, Computer Science, or another technical field, or equivalent practical experience.
• At least 3 years of experience as a Data Scientist or in a similar role, with a proven track record of high-impact data and AI projects.
• Strong hands-on experience with the Databricks platform
  , including its built-in AI capabilities.
• In-depth knowledge of machine learning and statistical modeling frameworks such as Scikit-learn, XGBoost, Tensor Flow, or PyTorch.
• Experience with Generative AI and LLM integration, including tools such as Lang Chain, Hugging Face Transformers, Azure OpenAI, or Databricks Model Serving.
• Strong Python and/or SQL skills, with experience developing and maintaining production-ready data science pipelines.
• Experience with cloud data platforms, preferably Azure (Azure Data Factory, Azure Data Lake, Azure ML) or equivalent.
• Familiarity with MLOps best practices, including model versioning, monitoring, and CI/CD for ML workflows.
• Familiarity with tools such as Git, Azure Dev Ops, or Git Lab.
• Excellent communication skills in French and English. German is a plus.

• A hybrid way of working with access to our modern office in Geneva.
• We work with the latest technologies and are a people-focused organization with an open and inclusive culture that empowers everyone to reach their full potential.
• A community of experts - our Digital Natives put innovation at the heart of everything they do, and you will too!
• In addition to a competitive base salary, we offer you a mobility allowance, a bonus, a competitive Swiss pension (LPP/BVG), and more.

Orange Business is a leading network and digital integrator with offices in 65 countries worldwide and is part of the Orange Group.

Digital Services, a business line of Orange Business, is a newly established division within Orange Business. In Europe, the business line consists of approximately 1,500…