AI Data Scientist

Arlequin AI; Paris; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

On-site in Paris

Startup environment

Job summary

Arlequin AI in Paris is seeking a research-minded engineer to join our R&D team building the next generation of AI platforms. You’ll research, test, and develop state-of-the-art algorithms powering HUDEX, with a focus on unsupervised learning, NLP, and topology.

You’ll read scientific papers, produce literature reviews, and maintain autonomy while collaborating with researchers and engineers. The role blends deep theoretical work with pragmatic implementation, and is open to junior candidates

Qualifications

• Strong Python experience for data manipulation and ML workflows.
• Experience with NLP and high-dimensional unstructured data.
• Ability to read scientific literature and perform reviews.
• Autonomy and adaptability across research and engineering tasks.
• Familiarity with ML tools and development pipelines.

Responsibilities

• Research, test, and develop state-of-the-art algorithms powering HUDEX.
• Interpret narrative dynamics across large-scale digital ecosystems.
• Produce literature reviews and contribute to publications.
• Collaborate with researchers and engineers; support client-facing needs.

Skills

Python

Data Science

ML

Git/GitHub

NLP

Unsupervised learning

Graph/topology

Deep learning

Documentation

Tools

MLflow

LaTeX

Job description

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).~30 people, post-seed, Series A in progress. On-site in Paris.

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)

1. Screening (15 min)

2. Fit interview (30 min)

3. Technical interview (1h)

4. Founder culture fit (45 min)

5. Reference calls

6. Offer