Role overview:

We are seeking a Data Scientist with a strong foundation in applied AI and a real curiosity for advanced systems such as Large Language Models (LLMs), Natural Language Processing (NLP) & GenAI. 
 
At Descartes & Mauss, the first AI-Powered Growth Strategy Platform, you’ll help companies make better decisions, faster.

In 2024, we raised €5.5 million from Elaia and Polytechnique Ventures to accelerate our mission. 
You’ll join a small, high-impact data team working at the intersection of applied research and product innovation.

As a Data Scientist at D&M, you will:

Support LLM development 
Assist in training, fine-tuning, and evaluating large language models for specialised business tasks.

Contribute to Agentic AI initiatives 
Work with senior team members to design and test multi-agent systems able to plan, reason, and orchestrate data workflows.

Experiment and learn 
Prototype new ideas, analyse performance, and contribute to documentation and knowledge sharing.

Apply analytical thinking 
Use statistics, probability, and optimisation to build robust, explainable models and evaluate their results.

Drive insights 
Turn raw data into clear visualisations and actionable recommendations for strategy and product teams.

Foundations in AI / ML 
1–2 years of experience in data science, analytics, or applied ML. 
Good understanding of regression, classification, clustering, and basic NLP. 
Proficient in Python (Polars, scikit-learn, NumPy) and familiar with deep-learning frameworks (PyTorch / TensorFlow). 

LLMs & Agentic AI  
Interest or first-hand exposure to LLM APIs (GPT, Claude, Mistral, etc.) or frameworks such as LangGraph or CrewAI. 

Practical knowledge of prompt engineering and LLM evaluation: must-have skills for this role 

Data Infrastructure 
Experience writing SQL queries, cleaning datasets, and working with data 

Version control system(Git) 

Knowledge of version control is essential to work on cross functional features. 

Mathematics & Modelling 
Solid grasp of statistics and probability. 
Ability to interpret model outputs and communicate uncertainty. 

Mindset 
Curiosity, precision, and eagerness to learn from senior peers. 
Comfort working in a fast-moving, collaborative environment. 

Nice-to-have 
Experience with data visualisation (Plotly, Power BI, Streamlit) or open-source contributions. Knowledge of cloud environments (AWS / GCP) is a plus.

1. 30 min chat with HR 

2. 30 min chat with the hiring manager 

3. Case study 

4. Office tour & team meeting (if Paris-based) 

D&M celebrates diversity and inclusion. 
If you’re excited about this role but don’t meet every single requirement, we still encourage you to apply - you might be exactly who we need. 

D&M believes diversity drives innovation and is committed to creating an inclusive environment for all employees. We welcome candidates of all backgrounds, genders, and abilities to apply. Even if you don’t meet every requirement, if you’re excited about the role, we encourage you to go for it—you could be exactly who we need to help us create something amazing together!