Researcher (m/w/d) - Mathematics, Computational Science & Data Science
External
Everience · Amsterdam, NetherlandsPrepare for this interview
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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 quantitative discipline and is looking to further grow their research and technical capabilities within an innovative environment.
Responsibilities
- Develop and apply mathematical, statistical, and computational models to address complex business and technical problems.
- Design, implement, and validate algorithms, simulations, and data-driven solutions.
- Conduct research and analysis to support innovation initiatives and R&D programs.
- Translate research findings into practical recommendations and scalable solutions.
- Analyze large and complex datasets to identify patterns, insights, and opportunities.
- Collaborate with engineers, researchers, data scientists, and business stakeholders.
- Coordinate technical activities involving external suppliers, contractors, and research partners.
- Contribute to technical reports, presentations, and scientific documentation.
- Stay informed about emerging technologies, methodologies, and industry developments within your field.
- Support the continuous improvement of research methods, tools, and processes.
- Required Qualifications
- Master's degree or PhD in Applied Mathematics, Data Science, Statistics, Computer Science, Operations Research, Computational Science, Engineering, Physics, or a related quantitative discipline.
- Strong understanding of mathematical modelling, statistical analysis, and computational methods.
- Experience applying analytical techniques to real-world problems.
- Proficiency in one or more programming languages such as Python, R, MATLAB, Julia, or similar.
- Experience working with data analysis, machine learning, optimization, simulation, or predictive modelling.
- Strong analytical thinking and problem-solving skills.
- Excellent communication skills with the ability to explain complex concepts to technical and non-technical audiences.
Requirements
- Experience in an industrial, energy, engineering, research, or technology environment.
- Familiarity with cloud computing, high-performance computing, or large-scale data processing.
- Experience collaborating with universities, research institutes, or external technical partners.
- Publications, conference presentations, or contributions to open-source projects are an advantage.
- Experience with machine learning, artificial intelligence, optimization techniques, or digital twin technologies.
- Curious and research-driven mindset.
- Strong quantitative and analytical capabilities.
- Ability to work independently while collaborating effectively within multidisciplinary teams.
- Attention to detail and commitment to scientific quality.
- Ability to balance theoretical rigor with practical business impact.
- Eagerness to learn, innovate, and contribute to cutting-edge research and development initiatives.
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