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Arlequin AI

Arlequin AI développe HuDex, une plateforme d’analyse de données multilingues et non structurées, et mène des travaux de recherche en apprentissage profond topologique. Ses outils s’adressent aux entreprises et aux organismes publics.

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AI Data Scientist

Am I a fit — voir ma compatibilité
  • Contrat non précisé
  • Paris, Paris
  • Data & IA
  • Publiée 13/09/2026

Arlequin AI recrute un·e Data Scientist au sein de son équipe R&D à Paris pour développer et tester des algorithmes avancés au service de sa plateforme HUDEX. Le poste porte notamment sur le NLP, les données non structurées à grande échelle, le clustering et les statistiques, avec Python, Git/GitHub et des outils de machine learning.

Repères sur Arlequin AI
Secteur
Logiciels et Internet
Modèle
B2B
Siège
Paris
Domaine officiel
arlq.ai
Dernière levée
Série A · 2026-09-01
Montant annoncé
31 000 000 $
Offres ouvertes
10

Investisseurs mentionnés

  • Bpifrance
  • Vsquared Ventures
  • Redalpine
  • 10x Founders
  • OTB Ventures

Détails de l’offre

La description complète publiée par Arlequin AI.

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Description de l’offre

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R&D

AI Data Scientist

Develop and test state-of-the-art algorithms that powers our platform

2+ YEARS OF EXPERIENCE

FULL-TIME

ON-SITE IN PARIS

About Arlequin

Arlequin is building the sovereign European alternative to Palantir: an AI platform capable of processing massive data volumes without bias, with high-impact use cases such as fighting disinformation. Founded in late 2024 by Hugo Micheron (researcher in geopolitics and systemic risk) and Antoine Jardin (CNRS research engineer).

The role

You'll join our R&D team of 8, focused on researching, testing, and developing state-of-the-art algorithms that power HUDEX, our platform that lets non-technical analysts interpret narrative dynamics across large-scale digital ecosystems. You'll work alongside experienced researchers, several of whom hold or are completing PhDs, across a range of fields (unsupervised learning, NLP, computer vision, topology, and more).

Stack

Technical stack:

Must have

Python and strong experience in data manipulation / data science / machine learning / development tools and libraries, Git/GitHub

Nice to have

LaTeX, MLflow

Methods & domains:

Must have

experience in NLP, working with high-dimensional unstructured data (text, computer vision, speech, multimodality…), clustering and statistics

Nice to have

experience with other unsupervised learning methods, deep learning, mathematical knowledge in graph and/or topology

What we're looking for

  • A strong scientific mindset and genuine intellectual curiosity
  • Able to read scientific literature and produce literature reviews
  • A high degree of autonomy
  • Versatility and adaptability: you're comfortable researching across many fronts, switching between quick, pragmatic solutions and deeper long-term work, and occasionally stepping outside pure research to support engineering or client-facing needs
  • Quick to pick up new algorithms and put them into practice
  • Open to junior candidates
  • Professional English

Bonus

Academic publications

Already comfortable in a startup environment

Mastery of agentic coding tools and code models

Process (~2 weeks)

Screening (15 min)

Fit interview (30 min)

Technical interview (1h)

Founder culture fit (45 min)

Reference calls

Offer

Prérequis

  • scientific mindset
  • intellectual curiosity
  • autonomy
  • literature reviews

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