We are looking for a Data Analyst & AI Intern to support the analysis, exploitation, and valorization of the large volumes of data generated by TiHive’s vision systems and sensors.

This internship is ideal for someone who wants to work at the intersection of AI, data science, industrial vision, and sensor analytics, with direct exposure to real-world industrial applications. You will contribute to extracting insight from complex multimodal data, improving data pipelines and analysis methods, and supporting the development of intelligent tools for quality control, process monitoring, and customer value creation.

You will work on real industrial datasets generated by deployed systems, including sensor signals, image data, and production-related data, in close collaboration with hardware, software, application, and business teams.

Main Responsibilities

• Analyze large datasets generated by TiHive’s systems, including sensor data, vision data, and production data

• Develop data analysis workflows to identify patterns, anomalies, correlations, and performance trends

• Contribute to the processing and interpretation of industrial imaging and sensing data

• Support the development and improvement of AI / machine learning models for detection, classification, prediction, or quality assessment

• Help structure and clean datasets for analytics and model training

• Explore multimodal approaches combining image, signal, and process data

• Contribute to performance evaluation of algorithms and data-driven methods

• Build dashboards, visualizations, and reporting tools to make insights accessible and actionable

• Support use case analysis for customers and internal teams by translating raw data into operational recommendations

• Participate in the continuous improvement of TiHive’s data infrastructure, analysis methods, and data-to-value workflows

• Student in Data Science, Artificial Intelligence, Computer Science, Applied Mathematics, Signal Processing, Physics, Engineering, or a related field

• Strong interest in AI, machine learning, data analytics, computer vision, and sensor data

• Comfortable working with large and complex datasets

• Good analytical skills and ability to extract meaning from noisy or imperfect real-world data

• Interest in industrial applications and real operational impact

• Able to connect technical analysis to practical outcomes

• Curious, rigorous, autonomous, and proactive

• Good communication skills in English; French is a plus

Technical Skills

• Good command of Python

• Familiarity with data analysis libraries such as Pandas, NumPy, SciPy

• Familiarity with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow

• Experience with data visualization and reporting

• Understanding of statistics, signal processing, or image analysis

• SQL and big data tooling are a plus

• Familiarity with computer vision, industrial data, or sensor fusion is a strong plus

Nice to Have

• Exposure to computer vision, image processing, or machine learning for industrial applications

• Experience with large-scale datasets, annotation, model evaluation, or pipeline development

• Familiarity with time-series analysis, anomaly detection, or multimodal data analysis

• Interest in advanced sensing technologies and real-world deployment constraints