Data Scientist

Location: Geneva · Contract: Permanent · Assignment: long term · Rate: 100% · Start: January 2027

For one of our clients based in Geneva, we are looking for an experienced Data Scientist.

Context

The Data Scientist's mission is to collect relevant data, clean and prepare it for analysis, then apply statistical techniques and machine learning algorithms to extract useful insights.

They develop data science and AI models using techniques such as Deep Learning, Computer Vision, natural language processing, Reinforcement Learning, or other advanced machine learning methods, depending on the specific needs of each project.

Your tasks

• Collect data from various sources (automating extraction, integration, and data updating) and analyse it to extract useful information

• Explore data to understand its structure, trends, and relationships, using statistical tools and data visualisations

• Design and develop data science and AI algorithms and models, and improve their outcomes

• Evaluate model performance using appropriate metrics and adjust them to enhance accuracy and generalisation

• Collaborate with software engineers to integrate models into existing applications or systems

• Ensure efficient and secure deployment of models in production

• Present results clearly and understandably to stakeholders

Education

• Master’s degree or equivalent in data science or a similar field

Essential skills

• 5 years or more experience in data science

• Strong knowledge of Python and Jupyter

• Strong knowledge of PyTorch, TensorFlow, and Scikit-learn libraries, as well as Conda

• Strong knowledge of natural language processing

• Strong knowledge of Machine Learning and Deep Learning

• Strong knowledge of data quality

• Good knowledge of service-oriented organisation principles (ITIL approach)

• Good knowledge of database management technologies

• Excellent writing, summarising, and presentation skills

• Decision-making ability

• Excellent ability to identify and manage risks

Appreciated skills

• Helping business units define realistic objectives based on their needs and data

• Autonomy in creating and deploying data science and AI algorithms and models

Personal qualities

• Ability to adapt to the context of a complex organisation

• Ability to challenge needs and be proactive with business units

• Autonomy and dynamism

• Ability to work under pressure

• Ability to work in a team and share knowledge

• Open attitude towards change