Hutchinson is a chemicals subsidiary of TotalEnergies specialized in sealing systems, fluid transfer systems, vibration, acoustic and thermal insulation, and transmission and mobility systems. Hutchinson designs and produces customized materials and connected solutions to respond to the needs of its global customers, on land, in the air and at sea. A global leader in vibration control, fluid management and sealing system technologies, Hutchinson stands out with a multiple market offering spanning multiple areas of expertise and delivering synergies and value-added. Hutchinson reported revenues of €5 billion in 2024 and has more than 40,000 employees in 25 countries. Our ambition is to contribute to safer, more efficient and more responsible mobility.

Job Overview

We are exploring mid and long-term innovation opportunities driven by AI. Our Corporate Research department is seeking a talented Data Scientist to develop advanced AI-driven business solutions using large industry datasets and GenAI technologies. In this role, you will work closely with business units, international cross-functional teams and external partners to drive innovation through advanced analytics, machine learning, and GenAI/AIoT applications.

Responsibilities

• Collaborates with HQ, business units, and the external partners (universities, institutions, start-ups and etc) on AI R&D projects.

• Coordinate with IoT specialists and technical experts to build data-driven solutions aimed at operational excellence and process optimization.

• Design and implement LLM-based AI solutions for document intelligence and unstructured data extraction (e.g. PDF, Word, Excel, PowerPoint), to interpret and extract text, images, tables, charts, and engineering drawings.

• Build and optimize Retrieval-Augmented Generation (RAG) frameworks and autonomous agents for efficient information retrieval and context-aware generation.

• Conduct continuous AI technology scouting and evaluate emerging tools for document processing, image/drawing interpretation, semantic comparison, and summarization.

• Perform statistical data analyses and develop custom models and algorithms to extract insights and solve domain-specific challenges using industry datasets.

• Deploy AI models and technical solutions in production environments, providing support, monitoring, and performance improvements.

Requirements

• Master's, or PhD in Artificial Intelligence, Computer Science, Computer Engineering, Statistics, Business Analytics, or a related field, with a minimum of 2 years of relevant work experience. Bachelor's holders are welcome to apply.

• Proficient in Python language and associated web frameworks (e.g. FASTAPI), ML libraries (e.g. SkLearn, Pandas, Pytorch) and LLM/ agent frameworks (e.g. Langchain, LlamaIndex).

• Proven expertise in LLMs (e.g., Azure OpenAI, open-source models), RAG architectures, vector databases, knowledge graphs, and document intelligence tools.

• Familiar with SQL, NoSQL, and vector database design and management, both on-premises and in cloud environments.

• Experience in MLOps, DevSecOps and exposure to AIoT solution design and deployment will be advantageous.

• Excellent problem-solving skills, strong communication abilities, and innovative mindset.