Lead, Data Scientist / Research Engineer

At

Schneider Electric , we are committed to solving real‑world problems to create a sustainable, digitised, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within our

Global AI Hub

we combine our long‑standing manufacturing and domain expertise with cutting‑edge innovation in AI, machine learning, and deep learning to empower smarter decision‑making, agility, and decarbonisation.

Our

Strategy & Innovation

team drives the AI strategy and innovation efforts for the AI Hub, Schneider Digital, and Schneider Electric at large. We are building the next generation of intelligent systems that combine

large‑scale multimodal models, graph/topology understanding, simulation, and domain logic

to enable system‑level reasoning across energy, buildings, industry, and data centres.

You r role : We are looking for an

applied research engineer

with strong foundations in ML/AI and a deep interest in reasoning, agents, planning, and tool‑augmented intelligence. You will design novel reasoning architectures that combine foundation‑model outputs with system structure, simulations, and domain rules – building prototypes that demonstrate robust, verifiable reasoning for real industrial systems.

You r responsibilities :

Design novel reasoning methods

that combine LLM/FM outputs with

graphs, causal structure, and constraints

to solve

multi‑step, system‑level

tasks

Prototype agents/planners

that can

query tools

(simulators, rule engines, optimisers) and

self‑check

with constraints/physics before proposing actions

Fuse multimodal signals – time‑series, tabular, text, graph

(vision/3D later) – into coherent world‑state representations and

uncertainty‑aware

decisions

Establish evaluation for reasoning

(task success, counterfactuals, causal sanity checks, safety/constraint satisfaction) and run clean ablations/baselines

Collaborate with domain experts

to encode topology, procedures, and invariants into the reasoning layer

You r profile : Required Qualifications

PhD in ML/AI/CS (or related)

with strong grounding in

transformers/LLMs

and

reasoning/representation

learning. We are also open to exceptional candidates from top Master’s programmes or leading engineering schools with demonstrated research or applied excellence

3+ years

of industry experience applying ML/AI methods to real‑world problems, including prototyping, experimentation, or integrating models into practical workflows

Evidence of research in at least two of the following: Causal & probabilistic modelling

(interventions, counterfactuals, structure learning)

Graph/topology reasoning

(GNNs, message passing, graph‑of‑thought)

Tool‑augmented agents / planning

(planning/search, tool calling, RAG for tools)

Physics/constraints‑aware learning

(PIML, rule integration, optimisation under constraints)

Hands‑on skill to turn ideas into prototypes (Python, PyTorch), with

clean experimentation

(baselines, ablations, reproducibility)

Preferred Skills

Experience

integrating simulators/solvers/rule engines

into model loops (safety checks, feasibility, constraint satisfaction)

Familiarity with

knowledge graphs and multimodal alignment

(time‑series/tabular/text/graph/vision)

Exposure to

neuro‑symbolic

or

hybrid

approaches (neural + rules/logic) for interpretability and robust generalisation

Comfort collaborating with SMEs to embed

topology, procedures, and safety policies

into reasoning

What We Offer

The opportunity to shape the reasoning core of next‑gen industrial multimodal AI – with real impact on energy, industry, and sustainability

Access to rich, real‑world datasets (time‑series, tabular, text, graph; vision later) and domain simulators rarely available in academia

A fast‑moving, collaborative, research‑driven environment – prototype, evaluate, publish when appropriate

A mission tying AI research to physical systems and decarbonisation at global scale

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviours are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – start with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitisation. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today!

€36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and “inclusion” is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here.

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, colour, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.

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