EVERIENCE
Consulting
Researcher(m/w/d)–Mathematics,ComputationalScience&DataScience
Neural analysis suggests this role is
optimal for mid candidates.
“Researcher (m/w/d) – Mathematics, Computational Science & Data Science at EVERIENCE. Skills: Mathematics, Computational Science, Data Science, Machine learning, Modelling. Develop mathematical models. Apply statistical models”
Industry & Context.
Problem-solving skills; Analytical thinking
What They're Looking For.
Must Have
Master's degree or PhD, Understanding of mathematical modelling, Statistical analysis, Computational methods, Experience applying analytical techniques, Proficiency in Python, R, MATLAB, Julia, Experience with data analysis, Machine learning, Optimization, Simulation, Predictive modelling, Analytical thinking, Problem-solving skills, Excellent communication skills
Nice to Have
Experience in industrial, energy, engineering, research, or technology environment, Familiarity with cloud computing, High-performance computing, Large-scale data processing, Experience collaborating with universities, Research institutes, External technical partners, Publications, Conference presentations, Contributions to open-source projects, Experience with machine learning, Artificial intelligence, Optimization techniques, Digital twin technologies
What You'll Do.
Develop mathematical models
Apply statistical models
Apply computational models
Address business problems
Address technical problems
Implement simulations
Design data-driven solutions
Implement data-driven solutions
Validate data-driven solutions
Support innovation initiatives
Translate research findings
Analyze large datasets
Analyze complex datasets
Identify opportunities
Collaborate with engineers
Collaborate with researchers
Collaborate with data scientists
Collaborate with business stakeholders
Coordinate technical activities
Contribute to technical reports
Contribute to presentations
Contribute to scientific documentation
Stay informed about emerging technologies
Stay informed about methodologies
Stay informed about industry developments
Support continuous improvement
Improve research methods
Improve research tools
Improve research processes
How You'll Work.
Team & Collaboration
Multidisciplinary teams; External partners; Academic institutions; Engineers; Researchers; Data scientists; Business stakeholders; External suppliers; Contractors; Research partners
Communication Scope
Explain complex concepts; Technical audiences; Non-technical audiences; Technical reports; Presentations; Scientific documentation
Full Job Description
Everience is an international consulting group delivering AI-augmented digital services. It combines expertise in digital transformation, artificial intelligence and data-based value creation, enabling companies to harness the potential of AI to support their businesses. With a 4,000-strong workforce across 18 locations in France and around the world, the group helps its clients to transform their user experience and to secure and leverage their data, devising new applications and co-creating the businesses of tomorrow. Our mission at Everience is to unleash the potential of digital technology to enable companies to focus on their value chain and increase their productivity and competitiveness. We provide a tailor-made response to the needs of our customers to help them build an efficient working environment, adapted to the needs of users by deploying a wide range of expertise: consulting, desktop engineering, user support, knowledge management, business support, cybersecurity, cloud and infrastructure management, smart office, IT logistics Everience operates in the Benelux and internationally and has 16 sites in Europe. The quality of our services and the excellence of the technical expertise of our employees is our priority Everience is recruiting... About the Role We are looking for a talented Researcher in Mathematics, Computational Science, and Data Science to join our Research & Development team. In this role, you will apply advanced analytical, mathematical, and computational techniques to solve complex technical and business challenges. You will work on the development of models, algorithms, simulations, and data-driven solutions that support innovation, operational excellence, and strategic decision-making. The role combines scientific rigor with practical application and offers opportunities to collaborate with multidisciplinary teams, external partners, and academic institutions. This position is ideal for someone who has developed strong expertise in a q
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