Location: Dubai, United Arab EmiratesIn fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi’s airport.

JOB OBJECTIVE

We are seeking a talented and enthusiastic AI/ML Intern to join our team. You will help design and develop an intelligent system that can read, understand, and analyze financial statements using modern AI techniques (OCR, NLP, LLMs).
The goal: automate the extraction, standardization, and scoring of financial data from various document formats.

ROLES & RESPONSIBILITIES

Collaborate with senior officials to understand project requirements and goals.
Build and improve pipelines to extract and structure data from financial statements (PDFs, images, text).
Use NLP and document AI models to interpret financial terminology and detect key insights.
Contribute to cleaning and standardizing financial data.
Participate in creating an automated financial scoring and reporting tool.
Document your work and share findings with the team.

WORK EXPERIENCE REQUIREMENTS

Final-year student or recent graduate in Computer Science, Data Science, or AI Engineering.
Strong Python skills (pandas, regex, data manipulation).
Familiarity with NLP / LLM tools (spaCy, Hugging Face, OpenAI API) or OCR/Parsing models (Docling, Tesseract,..).
Interest in finance, data, and applied AI.
Curious, analytical, autonomous, and eager to learn in a collaborative environment.
Solid understanding of machine learning concepts and algorithms.

QUALIFICATION, CERTIFICATION & EDUCATIONAL REQUIREMENTS

Bachelor’s or Master’s degree in AI, Computer Science, or a related field.

PREFERRED SKILLS

Experience with NLP,LLMs, document digitalization, or data extraction projects.
Basic understanding of database management.
Previous internship or project experience in AI/ML.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!