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Gramian Consulting Group

Mathematics & Computational Research Specialist (MSc/PhD)

Posted 8 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United Kingdom
Entry level
Remote
Hiring Remotely in United Kingdom
Entry level
Solve, develop, review, and validate advanced mathematical and computational problems for an AI training initiative. Translate mathematical concepts into executable Python workflows, implement algorithms, conduct numerical experiments, automate calculations, test edge cases, and verify reproducibility. Apply optimization, modeling, statistical analysis, and numerical computation methods while documenting clear, mathematically sound results. The role is fully remote and requires an MSc or PhD in mathematics or a related quantitative field, along with strong practical Python skills.
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About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Role

We are looking for highly skilled Mathematics Experts with strong backgrounds in advanced mathematics, computational problem-solving, and Python programming to contribute to an AI training initiative.

In this role, you will solve, develop, review, and validate complex mathematical tasks using programmatic and command-line-based workflows. You will translate mathematical concepts into executable procedures, implement algorithms, conduct numerical experiments, and verify that computational results are mathematically sound and reproducible.

The ideal candidate combines advanced mathematical knowledge with practical programming skills and experience using scientific computing tools. Previous AI experience is not required. Your mathematical expertise and ability to produce reliable computational solutions are what matter most.

Job Type: Contractor
Location: Global — Fully Remote

Key Responsibilities

  • Solve and validate advanced mathematical and computational problems across relevant mathematical disciplines.

  • Translate mathematical requirements into precise, structured, and executable workflows.

  • Implement mathematical equations, algorithms, and numerical procedures using Python and command-line-accessible tools.

  • Automate calculations, numerical experiments, parameter sweeps, and result validation.

  • Apply appropriate mathematical methods to optimization, modeling, statistical analysis, and numerical computation tasks.

  • Test edge cases, verify assumptions, and assess the mathematical and numerical validity of solutions.

  • Use scientific computing libraries and mathematical software to develop reproducible solutions.

  • Review mathematical tasks and computational outputs for correctness, completeness, and clarity.

  • Document methodologies, calculations, and results in a clear and reproducible manner.


Requirements
  • Completed MSc/PhD in math or a closely related quantitative field and strong Practical Python skills.

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