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Mistral

Applied Scientist / Domain Expert, AI4Engineering - EMEA

Paris
Posted 29 days ago
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About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

What you will do

  • Design and run large-scale simulation campaigns using domain-specific solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus)
  • Run training of AI models on physics data, with rigorous evaluation of coverage, accuracy, and quality against industry validation standards
  • Build tools and frameworks for automated dataset creation, simulation pipeline management, and model evaluation
  • Collaborate closely with the science/research team on training runs and diagnose failure modes arising from data gaps or architecture limitations
  • Manage research projects and client communications with engineering teams

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

About you

  • Fluent English with excellent communication skills - able to explain technical simulation concepts to both engineering and non-technical audiences
  • Have a PhD in physics or engineering and 5 years+ of industry experience in a relevant domain. You work in a key engineering industry: Automotive, Aerospace or Semiconductors and have an interest in machine learning.
  • Self-directed - you don't need detailed roadmaps to make progress
  • Low-ego, collaborative, and eager to learn at the intersection of simulation and ML
  • Demonstrated success through industrial projects, academic work, or personal projects

It would be great if you

  • Have a deep passion for machine learning
  • Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, ANSYS, COMSOL, Abaqus, or equivalent)
  • Have applied ML methods to simulation or surrogate modelling
  • Have experience automating large-scale simulation campaigns on HPC clusters
  • Have contributed to a large open-source or industry codebase
  • Have publications in engineering or ML venues (NeurIPS, ICLR, etc.)
  • Love improving existing code by fixing typing issues, adding tests and improving CI pipelines

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What we offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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Skills

Simulation Solvers
Machine Learning
Physics Data Analysis
Dataset Creation
Model Evaluation
HPC Clusters
Surrogate Modelling
CI Pipelines
OpenFOAM
ANSYS
COMSOL
Abaqus
Python
Technical Communication
Project Management
Research

Location

Linz, Upper Austria, Austria

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