Files
mathematician/references/skills.md
2026-08-14 16:46:05 +02:00

4.4 KiB

Competences — mathematician

Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/72628f3a-fd49-499a-9741-870b0a1fcef2).

Essential

  • algebra (knowledge)
  • apply for research funding (skill/competence)
  • apply research ethics and scientific integrity principles in research activities (skill/competence)
  • apply scientific methods (skill/competence)
  • communicate mathematical information (skill/competence)
  • communicate with a non-scientific audience (skill/competence)
  • conduct quantitative research (skill/competence)
  • conduct research across disciplines (skill/competence)
  • create solutions to problems (skill/competence)
  • demonstrate disciplinary expertise (skill/competence)
  • develop professional network with researchers and scientists (skill/competence)
  • digital data processing (nan)
  • disseminate results to the scientific community (skill/competence)
  • draft scientific or academic papers and technical documentation (skill/competence)
  • evaluate research activities (skill/competence)
  • execute analytical mathematical calculations (skill/competence)
  • increase the impact of science on policy and society (skill/competence)
  • integrate gender dimension in research (skill/competence)
  • interact professionally in research and professional environments (skill/competence)
  • manage findable accessible interoperable and reusable data (skill/competence)
  • manage intellectual property rights (skill/competence)
  • manage open publications (skill/competence)
  • manage personal professional development (skill/competence)
  • manage research data (skill/competence)
  • mathematical modelling (knowledge)
  • mathematics (knowledge)
  • mentor individuals (skill/competence)
  • Monte Carlo simulation (knowledge)
  • numerical sequences (knowledge)
  • operate open source software (skill/competence)
  • perform project management (skill/competence)
  • perform scientific research (skill/competence)
  • promote open innovation in research (skill/competence)
  • promote the participation of citizens in scientific and research activities (skill/competence)
  • promote the transfer of knowledge (skill/competence)
  • publish academic research (skill/competence)
  • scientific modelling (knowledge)
  • scientific research methodology (knowledge)
  • speak different languages (skill/competence)
  • statistics (knowledge)
  • study the relationships between quantities (skill/competence)
  • synthesise information (skill/competence)
  • think abstractly (skill/competence)
  • write scientific publications (skill/competence)

Optional

  • algorithms (knowledge)
  • apply blended learning (skill/competence)
  • apply statistical analysis techniques (skill/competence)
  • assist scientific research (skill/competence)
  • carry out statistical forecasts (skill/competence)
  • computer science (knowledge)
  • computer simulation (knowledge)
  • create software design (skill/competence)
  • data science (knowledge)
  • develop financial statistics reports (skill/competence)
  • develop scientific theories (skill/competence)
  • develop statistical software (skill/competence)
  • empirical analysis (knowledge)
  • geometry (knowledge)
  • instrumentation engineering (knowledge)
  • logic (knowledge)
  • mathematical economics (knowledge)
  • mathematical physics (knowledge)
  • mechanical engineering (knowledge)
  • metalogic (knowledge)
  • operational research (knowledge)
  • perform lectures (skill/competence)
  • philosophy (knowledge)
  • philosophy of mathematics (knowledge)
  • prepare lesson content (skill/competence)
  • provide lesson materials (skill/competence)
  • quantitative analysis (knowledge)
  • quantum computing (knowledge)
  • SAS language (knowledge)
  • set theory (knowledge)
  • statistical analysis system software (knowledge)
  • statistical modeling techniques (knowledge)
  • supercomputing (knowledge)
  • teach in academic or vocational contexts (skill/competence)
  • use software tools for site modelling (skill/competence)
  • use spreadsheets software (skill/competence)

Market evidence (job-ad analysis, 37 ads, as of 2026-07-17)

Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.

Hard skills

  • data analysis — 43 %
  • mathematical modeling — 32 %
  • algorithm development — 19 %

Responsibilities

  • data analysis — 19 %