Data Scientist - Chemistry and Materials Science- IBM CIC - H/F

IBM
IBM

Data Science

France · Cedex Madrid, Spain · Bois-Colombes, France

Posted on Jun 3, 2026
Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

We are seeking a Data Scientist with a PhD-level background in materials science, chemistry, or chemical engineering. This role is ideal for scientists who enjoy computational work, have experience with data‑driven or simulation-driven research, and want to apply AI to accelerate discovery and innovation at enterprise scale.

You will combine your scientific expertise with advanced data science and machine learning techniques to model materials, analyze experimental datasets, predict properties, optimize formulations, and support generative design. You will work closely with IBM Research, academic collaborators, and industry R&D teams to translate deep scientific knowledge into deployable AI workflows and scientific intelligence solutions.

Required education
Doctorate Degree
Required technical and professional expertise

KEY RESPONSIBILITIES

• Develop machine learning and generative AI models for materials and chemical applications, including structure–property prediction, molecular and materials generation, formulation optimization, and process modeling.

• Apply scientific knowledge to design, curate, and analyze complex datasets from experiments, simulations, spectroscopy, microscopy, computational chemistry, or materials characterization.

• Integrate ML workflows with scientific computing tools such as molecular dynamics, DFT, phase-field modeling, or multi-scale simulation frameworks.

• Collaborate with IBM Research on science foundation models and domain‑specific AI methods (material models, chemistry models, formulation models).

• Extract scientific knowledge from literature, patents, and experimental reports using knowledge graphs and document-understanding technologies.

• Validate AI‑generated hypotheses with subject-matter experts and guide experiment planning and design space exploration.

• Work directly with industry R&D clients to identify scientific challenges, design AI-enabled solutions, and communicate results.

• Contribute to Science Next platform components including data products, virtual models, agentic scientific workflows, and scientific foundation models.

REQUIRED QUALIFICATIONS

•French language is a must.

• PhD in Materials Science, Chemistry, Chemical Engineering, Physical Chemistry, Polymer Science, Nanoscience, or a closely related field.

• Strong theoretical understanding of materials or chemical systems, including structure–function relationships, thermodynamics, kinetics, or molecular interactions.

• Proficiency in Python and scientific computing libraries (NumPy, SciPy, Pandas, scikit-learn).

• Experience applying machine learning to scientific problems (materials property prediction, spectroscopy analysis, molecular modeling, structure generation, or simulation data analysis).

• Familiarity with cheminformatics or materials informatics libraries (RDKit, pymatgen, ASE, Matminer).

• Experience working with simulation tools such as MD, DFT, Monte Carlo, or finite element modeling.

• Ability to work in interdisciplinary teams and to communicate complex scientific and computational concepts clearl

Preferred technical and professional experience

• Experience with generative AI, deep learning, or foundation models in scientific domains.

• Hands-on experience with materials design, formulation science, polymers, batteries, catalysis, or advanced materials R&D.

• Understanding of high-performance computing environments or cloud computing.

• Experience with literature mining, knowledge graphs, or large scientific text corpora.

• Track record of peer-reviewed publications, patents, or contributions to open scientific datasets or software.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

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