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1 Candidato |
Descrizione del lavoro:
Company Description
Natixis Corporate & Investment Banking is a leading global financial institution that provides advisory, investment banking, financing, corporate banking and capital markets services to corporations, financial institutions, financial sponsors and sovereign and supranational organizations worldwide.
Our teams of experts in close to 30 countries advise clients on their strategic development, helping them to grow and transform their businesses, and maximize their positive impact. Natixis CIB is committed to aligning its financing portfolio with a carbon neutrality path by 2050 while helping its clients reduce the environmental impact of their business.
As part of Groupe BPCE, the second largest banking group in France through the Banque Populaire and Caisse d'Epargne retail networks, Natixis CIB benefits from the Group's financial strength and solid financial ratings (Standard & Poor's: A+, Moody's: A2, Fitch Ratings: A+,R&I: A+).
Job Description
You are joining our Fins'AIght team within the Finance department, which is looking for a Data Scientist, for a internship of 6 months from juillet 2026.
The Fins'AIght service is in charge of the Finance Department's Data & AI transformation across some twenty use cases (document intelligence, reporting automation, anomaly detection, predictive modeling, generative AI / LLMs, RAG, prompt engineering, etc.).
In collaboration with your tutor, your main tasks will be:
* Process and structure unstructured data (PDF, Word, PowerPoint, emails, CSV) in order to make them usable for Data & AI uses;
* Design, prototype and test Generative AI solutions (LLM, advanced prompting, RAG pipelines with LangChain or equivalent frameworks) to meet the needs of Finance teams;
* Develop and industrialize Machine Learning models (scikit-learn, XGBoost) and automate the generation of documents/reports in Python;
* Contribute to the delivery of use cases for the Fins'Atlas program in close collaboration with Data Scientists, Data Engineers, and Finance teams;
* Participate in the continuous improvement of solutions (performance, robustness, quality of prompts, monitoring) and in the documentation of work.
#Transformative finance
You operate in an international and inclusive environment, fostering collaboration with concrete missions and a real impact. We will accompany you throughout your experience with us so that you can learn and develop your skills working alongside experienced professionals.
You also have the opportunity to engage in favor of society and causes that are important to you through our corporate foundation.
In addition to an attractive internship allowance calculated according to your training and level of education, you benefit from a reimbursement of 60% of your transport ticket, one paid day of authorized leave for each month worked, and access to the company's restaurant.
You will also have access to the works council. Automatic translation
Required Skills/Qualifications/Experience
As a Bac +5 student, you are preparing a degree (university or engineering school), with a specialization in Data Science and Artificial Intelligence.
You are proficient in Python and comfortable with the data ecosystem (data management, notebooks, best practices).
You have good knowledge of Generative AI: LLMs, prompting, RAG principles and associated frameworks (LangChain).
You know how to handle unstructured documents and adapt to different formats.
You master the fundamentals of Machine Learning and know how to use scikit-learn and ideally XGBoost.
You have some knowledge in front-end development (HTML, CSS, JavaScript) to contribute to simple POCs or interfaces.
Basics in SQL will be a plus.
You are curious, autonomous, proactive and solution-oriented.
You appreciate teamwork and know how to communicate with a variety of people.
And last but not least, you are perfectly fluent in English.
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| Provenienza: | Web dell'azienda |
| Pubblicato il: | 07 Lug 2026 (verificato il 12 Lug 2026) |
| Tipo di impiego: | Stage |
| Durata di lavoro: | 6 mesi |
| Lingue: | Inglese |