Data Scientist

A model only has value if it changes a decision. At Diametral, the Data Scientist designs models that move the needle on margin, risk or customer experience, and takes them all the way to production. Your playing field: data science applied to real business problems, from classic machine learning to generative AI.

You join the Applied AI & Data Science engine and work in squads with Data Engineers, ML Engineers and Product Owners.

What you will build

• Demand forecasting, pricing and optimization models for retail and industry.
• Scoring, credit risk and fraud detection models for banking and insurance.
• Segmentation, propensity and hyper-personalization models for marketing and CRM teams.
• Generative AI solutions: RAG on proprietary data, document extraction, agents, LLM evaluation.
• Advanced approaches when the problem calls for it: time series, foundation models, NLP, computer vision, optimization.
• Compelling deliverables: clear visualizations, impact measurement, actionable recommendations.

Your tech stack

Python, scikit-learn, PyTorch, XGBoost, statsmodels, Hugging Face, LangChain or LlamaIndex, MLflow, Databricks, Azure ML, Vertex AI, SageMaker.

Within Diametral

• You share your lessons learned and tech watch within the engine community.
• You grow fast alongside senior experts, through pair programming and code reviews.

What you bring

• An engineering degree or a master's in data science, statistics or applied mathematics.
• At least 3 years of experience in data science, excluding internships and work-study.
• Solid foundations in statistics and machine learning, and excellent command of Python.
• At least one project taken to production or to real-world use.
• Fluent English in a client context, plus the language of your home office.

What will make the difference

• Experience with generative AI (RAG, fine-tuning, LLM evaluation).
• Industry expertise: retail, energy, banking and insurance, healthcare.
• Hands-on use of MLOps tools and the cloud.

Your mindset

• Scientific rigor and a sense of business impact.
• Clarity: you make a model understandable and trustworthy.
• Curiosity for a field that reinvents itself every six months.

What we expect from all our talent

• An obsession with business impact: you quickly understand our clients' business, and you know how to challenge it.
• A strong sense of service and client experience.
• Top-level communication, written and spoken: you simplify, you bring people along.
• Advanced mastery of AI and automation tools: you can show us an agent or a prototype you built yourself.
• Ambition and rigor, serving a team that puts the collective before the individual.

• Interview with the Talent Acquisition team and/or a Business Manager
• Technical interview with an engine expert
• Interview with the Managing Director or the Engine Director