{
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  "job_title": "Data Scientist Intern",
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  "employer_name": "AXA Group",
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  "job_posted_at": "il y a 20 jours",
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  "job_description": "At AXA IM, we act for human progress by investing for what matters, actively and responsibly. Join us and you’ll build a career in a truly diverse, entrepreneurial organization. You’ll be part of a mission to tackle some of the world’s most stimulating challenges, pushing boundaries and exploring fresh ideas that aim to deliver long-term prosperity.\n\n1. AXA IM\nAXA Investment Managers (AXA IM) is a responsible asset manager, actively investing for the long-term to help its clients, its people and the world to prosper. Our high conviction approach enables us to uncover what we believe to be the best global investment opportunities across alternative and traditional asset classes, managing €817 billion in assets as of September 2022.\n\nAXA IM is a leading investor in green, social and sustainable markets, managing €502 billion of ESG-integrated, sustainable and impact assets at the end of September 2022.\n\nWe are committed to reaching net zero greenhouse gas emissions by 2050 across all our assets, and integrating ESG principles into our business, from stock selection to our corporate actions and culture. Our goal is to provide clients with a true value responsible investment solution, while driving meaningful change for society and the environment.\n\nAt end of September 2022, AXA IM employs over 2,600 employees around the world, operates out of 26 offices across 19 countries and is part of the AXA Group, a worldwide leader in insurance and asset management.\n\n2. Description of the department\nAXA IM Prime is the private assets one-stop platform of AXA IM, offering investments across private equity, infrastructure equity, private debt and hedge funds.\n\nWe offer diversified sources of private market returns through primaries, secondaries, co-investments, as well as NAV financing and GP minority stakes solutions.\n\nThrough partnerships with best-in-class fund managers, we tailor investment solutions for institutional investors and wealth managers that support long-term sustainable growth.\nAXA IM Prime’s team of seasoned investment professionals has a long history of meeting AXA group’s ambitious investment targets whilst incorporating proactive ESG commitments and strict risk management criteria. AXA IM Prime oversees EUR30bn** of alternative assets, with EUR5bn** of commitments to further be deployed over the next 3 years.\n\n3. The main responsibilities of the role\n• Support the data team in analyzing and leveraging financial and operational data.\n• Design and implement an automated reporting framework (Streamlit applications, automated report generation).\n• Automate the collection and processing of unstructured documents (OCR on PDFs, LLM-based classification).\n• Develop and optimize data pipelines (ETL) using Python and SQL.\n• Enhance data analysis and visualization tools.\n• Contribute to the exploration and implementation of Machine Learning and LLM models applied to business challenges.\n• Ensure data quality, reliability, and structuring for efficient use.\nVotre Profil\n\n4. Profile\nEducation/Qualifications\n• Currently pursuing a Master’s degree at a leading Engineering School or University, specializing in Data Science, Artificial Intelligence, or Computer Science applied to Finance.\n• Previous experience in Data Science, Data Analysis, or Automation is a plus.\n\nTechnical skills\n• Proficiency in Python and SQL.\n• Experience with data science libraries and frameworks (Pandas, NumPy is a plus).\n• Ability to develop reporting applications with Streamlit or similar tools.\n• Experience with unstructured data processing (OCR, NLP, document classification) is a plus.\n• Strong skills in Excel and data visualization tools.\n\nCompetencies\n• Fluent in English\n• Strong attention to detail and analytical mindset.\n• Proactive and autonomous, with a strong sense of initiative.\n• eFront knowledge is a plus\n• Attention to detail, analytical and problem-solving skills\n• Flexible and able to adapt to new situations, processes, and technology\n• Enthusiasm to learn and proactive approach\n• Ability to adapt to a dynamic and fast-paced environment.\n\n5. What do we offer\n• This internship is an excellent opportunity to discover an international working environment. Due to our leading position on the market you can gain a strong exposure to a variety of complex issues of an international asset manager.\n• You will join a growing platform which will allow you to take-over real responsibilities rapidly\n• Opportunity to be hired on a full-time basis after the internship\n\nPlease join us to realize your potential to drive progress, for yourself, our clients and the world in which we live.\n\nA propos d'AXA\n\nLe Groupe AXA est un leader mondial de l’assurance et de la gestion d’actifs, avec 160 000 collaborateurs au service de 105 millions de clients dans 62 pays.\nNous protégeons et conseillons nos clients à chaque étape de leur vie, en proposant des produits et services qui répondent à leurs besoins dans les domaines de l'assurance, de la prévoyance, de l'épargne et de la gestion des actifs.\n\nNotre mission: Agir pour le progrès humain en protégeant ce qui compte\n\nNos valeurs: Customer first, Intégrité, Courage et One AXA\n\nA propos de notre entité\n\nGrâce à notre approche de conviction, nous sélectionnons les investissements en actions, obligations, alternatifs et dans les stratégies multi-actifs qui recèlent selon nous des meilleures opportunités à l’échelle internationale. Nous gérons à ce jour plus de 887 milliards d’euros d’actifs.\n\nAXA IM est un employeur garantissant l'égalité des chances et nous encourageons les candidats présentant un handicap ou toute autre caractéristique protégée à postuler. Nous nous engageons à fournir des aménagements raisonnables si nécessaires aux candidats qualifiés et aux employés handicapés pendant le processus de recrutement et dans l’exercice de leurs fonctions professionnelles essentielles.",
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  "job_posted_at_timestamp": 1772323200,
  "job_posted_at_datetime_utc": "2026-03-01T00:00:00.000Z"
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