# Researcher in Mathematics, Computational Science, and Data Science
## About the role
We are seeking a talented researcher in Mathematics, Computational Science, and Data Science for 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 developing 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 wishes to further expand their research and technical skills in an innovative environment.
## Key responsibilities
- Develop and apply mathematical, statistical, and computational models to solve 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 results 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 with external suppliers, contractors, and research partners
- Contribute to technical reports, presentations, and scientific documentation
- Stay informed about emerging technologies, methodologies, and industry developments
- Contribute to 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 related quantitative discipline
- Strong understanding of mathematical modelling, statistical analysis, and computational methods
- Experience applying analytical techniques to practical problems
- Proficiency in one or more programming languages such as Python, R, MATLAB, Julia, or similar
- Experience 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