Data Scientist intern working with R&D team at SogetiLabs, developing AI solutions for various sectors' challenges. Focus on image processing and machine learning technologies in a collaborative environment.
Responsibilities
You will join the SogetiLabs R&D team made up of researchers and AI experts working across a range of sectors.
You will work within one of our research teams and contribute to the development of innovative AI solutions applied to real-world problems across various sectors (e.g.: early breast cancer detection, object detection for autonomous vehicles, development of sign-language-to-speech interpreters, image analysis in oceanography, etc.).
Image processing & Computer Vision
Object detection, segmentation and classification (YOLO, Faster R-CNN, RT-DETR…)
Analysis and preprocessing of images from microwave sensors, medical imaging, satellites, drones or the web
Adaptation to inter-individual or environmental variability
Development & evaluation of AI models
Training, optimization and comparison of CV/Deep Learning architectures
Design of decision-support modules or qualitative/quantitative imaging tools
Implementation of end-to-end training pipelines
Integration of models into tools or web platforms
Scientific research
Review of the scientific literature
Testing, validation and critical analysis of developed models
Contribution to scientific publications and technical presentations
Requirements
Final year of a Master's program in AI, image processing, data science or applied mathematics
Looking for a 1-year work-study / apprenticeship placement
Proficiency in Python and strong foundations in machine learning / deep learning
Experience in computer vision (detection, segmentation, classification) and signal processing or imaging is a plus
Knowledge of the DICOM standard or Federated Learning is also a plus depending on the projects
Familiarity with AI frameworks (PyTorch, TensorFlow, Keras)
You demonstrate scientific rigor, curiosity and critical thinking
Good written and spoken English (minimum B2).
Benefits
Continuous learning: benefit from training pathways including bootcamps, certifications (Azure, Databricks, Scrum…) and immersive programs such as the GenAI Campus.
Leading on emerging technologies: as the Group's 'technologist' actor, our mission is to explore and evaluate new technologies to identify their potential and translate them into business use cases.
Quality of work life: enjoy a balance between professional and personal life, flexible remote work options (in France and internationally), and health and well-being resources (helpline, dedicated platform...).
Inclusive environment: join engaged networks such as Women@Capgemini, Parents@Capgemini, OUTfront or CapAbility, and work in a setting certified EDGE+ and recognized by the Bloomberg Gender Equality Index.
Happy Trainees: our commitment to young talent is recognized in the HappyTrainees rankings — proof that with us, interns and apprentices don’t just come to learn; they come to thrive!
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