Job description
*Only applicants who send their CV on Welcome to the Jungle will be considered for this position.*
⭐Who We are⭐
Contributing to building the rule of law internationally is everyone’s responsibility. Jus Mundi facilitates and democratizes access to global legal information with unprecedented efficiency, thanks to a search engine that combines international legal expertise with artificial intelligence.
Based in Paris and NYC, 90% of Jus Mundi’s turnover is 40% from the US and 30% from the UK.
Clients include big law firms, such as DLA Piper, Freshfields, Dentons, and legal departments of multinationals such as governments including Japan and the UK, and universities such as the Sorbonne, and Cambridge.
Our team: Vision is nothing without a team to carry it!
Our team has friendly people from diverse backgrounds who are committed and strive to be the best!
70+ Team Members, with 30+ nationalities from different backgrounds, ambitious & innovative talents in a journey to disrupt and reinvent the entire legal industry.
Be Part of This Exciting Journey. Join Our International Team.
You will live your best life while working at Jus Mundi. We work hard, and we play hard! The impact of our work is meaningful. If you would like to have a career in which you are making a real impact, join us.
ℹ️ Job Description
As a Data Scientist, you will work within the Legal Data Legio, a multi-disciplinary team where Data Scientists and the Legal Team work together to create tools that can analyze and process legal documents from around the world.
⚡ Your main tasks
- Creating machine-learning models for processing legal documents and dealing with NLP tasks were:
- Annotated data is scarce.
- Documents can be in other languages besides English.
- Long and specialized documents.
- Creating packages and tools for the Data Science Team.
- Ship quality tools.
- Work with the Legal Team to design and create NLP tools and models that can accelerate and improve the processing of documents.
- Work with the Tech and Cloud Team to put into production our models, using Temporal, Docker, and FastAPI.
🤖 About our Data Science Team
- 🥇 We love to participate in international challenges, such as Semeval and TREC.
- 🔬 We write scientific papers for NLP conferences.
- 🚀 We use Jean Zay, the French supercomputer, for training our models.
📚 Education and experience
- You have completed a Ph.D. (BAC+8: Doctorat) in Computer Science, Mathematics, or any other related career. You may have obtained your Ph.D. from a French or foreign university.
- You are looking for your very first job with a permanent contract (Contrat à Durée Indéterminée) since obtaining your Ph.D.
- You have at least 3 years of experience in Natural Language Processing (NLP) tasks, such as Named Entity Recognition, Text Classification, Entity Linking, Coreference Resolution, or Text Summarization.
- It is highly appreciated if you have one Post-doctorate or if you have worked on, either a national or international, project with multiple parties involved (e.g. Horizon 2020, Horizon Europe, ANR).
- Ideally:
- You have worked with multi-disciplinary teams.
- You have worked with NLP models in languages different than English.
- Experience in having deployed NLP projects using APIs, Docker, or Temporal.
✨ Skills
- You have an excellent understanding of NLP and key aspects of machine learning.
- You have good programming skills, including OOP, especially in Python.
- You have a good understanding of how to create machine learning models and ML frameworks, such as PyTorch and TensorFlow.
- You have a positive, “can-do” attitude and a desire to learn, help and grow.
- You can communicate and present Data Science work to a multi-disciplinary team.
- English is a requirement, French is optional.
🚀 Advantages
- 😍 Working for a fast-growing global legal tech offering a disruptive product that is revolutionizing the way lawyers around the world interconnect and conduct legal research,
- 💰 We offer a competitive salary & good stock options (BSPCE),
- 🍴 Lunch voucher (Swile card),
- 🩺 A great complementary private health insurance (paid 100% for the employee and their children by the company).
Confidence can sometimes hold us back from applying for a job. But we’ll let you in on a secret: there’s no such thing as a ‘perfect’ candidate. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come to work every day.
