Who you are

• We are seeking an exceptional Data Scientist with deep expertise in advanced AI systems, particularly in the design, deployment, and optimisation of Large Language Models (LLMs) beyond standard usage patterns
• The ideal candidate will have hands-on experience with Agentic AI architectures, a solid understanding of AGI-oriented research, exceptional mathematical foundations, and a keen ability to identify and model emerging growth spaces
• 5+ years in Data Science, Machine Learning, or Applied AI
• Strong understanding of NLP, deep learning architectures (Transformers, RNNs, etc.), and generative AI
• Proficiency with Python and ML frameworks (PyTorch, TensorFlow, JAX)
• Hands-on with open-source and proprietary LLMs (e.g., LLaMA, GPT, Claude, Mistral, Gemini, etc.)
• Experience building autonomous agents with frameworks like LangChain, CrewAI, AutoGPT, or custom architectures
• Familiarity with multi-agent coordination and reasoning frameworks
• Experience with graph databases (Neo4j, AWS Neptune) and vector stores (Pinecone, Weaviate, Milvus, FAISS)
• Strong SQL and NoSQL skills, and experience with data pipelines for large-scale ingestion and processing
• Understanding of distributed systems and cloud platforms (AWS preferred)
• Strong background in applied mathematics, statistical modelling, and optimisation
• Ability to create and validate complex models with explainability in mind
• Familiarity with Bayesian methods, time-series forecasting, and graph theory
• Ability to translate technical findings into strategic opportunities
• Familiarity with innovation trend analysis, market research, and opportunity mapping
• Published research in AI, NLP, or AGI-related domains
• Contributions to open-source AI frameworks or libraries
• Experience in multi-modal AI (vision, speech, and text integration)
• Familiarity with knowledge graph embeddings and semantic reasoning
• Exposure to reinforcement learning for autonomous decision-making
• Comfort working in fast-paced, experimental environments with evolving priorities

What the job involves

The application process

• 30 mins chat with HR team
• 30 mins chat with the hiring manager
• A Case Study
• Office tour & meet the team (if you’re Paris based) - if your team is based in Paris, we’d love to invite you to our office for a quick tour and to meet them in person!

Benefits

• Hybrid working: 2 days a week in the office
• WeWork office access worldwide
• Swile Card
• 50% of the public transport cost is reimbursed
• Extra Insurance with Mutuelle
• Birthday off policy
• Employee wellbeing initiatives