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Applied Mathematician – Consultant

TTP Group
Cambridge, GBR
Full-time
Mid
Onsite
Discovered 1 weeks ago
matlabpython

Full Job Posting

Benefits

  • TTP is an employee-owned business, based at TTP Campus in Melbourn, just 10 miles south of Cambridge. Our purpose-built, sustainable offices and laboratories are set in green surroundings, creating an inspiring environment for innovation. Our working culture encourages entrepreneurship, shared ideas and technical collaboration, while providing you with the freedom to do your best work.
  • Our employee benefits include:
  • Annual profit-related bonus
  • 25 days holiday
  • Employer pension contribution of 10% of salary
  • Free, nutritious lunch in our on-site restaurant
  • Private medical insurance for employees and dependants
  • Enhanced family friendly leave
  • Life insurance worth 6x salary
  • Electric car leasing scheme
  • Cycle to work scheme
  • Season ticket loan
  • An activities and community fund that supports healthy activities that bring colleagues together; whether it’s lunchtime squash or football, Zumba or our own rock band.
  • Local sports facilities and theatre discounts and memberships
  • Please click the following link to read the TTP Group Diversity Statement.
  • TTP is an employee-owned technology and product development consultancy, with a 40-year track record of helping ambitious clients solve complex technical challenges and bring innovative, commercially successful solutions to market.
  • We invent, design, and manufacture impactful products and technologies across a wide range of industries – including healthcare, life science, energy, and communications – and at the intersection of biology, physical science and engineering.
  • Our working culture encourages entrepreneurship, shared ideas and technical collaboration, while providing you with the freedom to do your best work.

Qualifications

  • A PhD in applied mathematics, physics or a related discipline.
  • Excellent mathematical reasoning, with the ability to translate real-world problems into mathematical models from first principles.
  • Experience developing and using computational models and simulations of physical systems, from simplified analytical approaches to more detailed numerical models.
  • Experience with tools such as MATLAB and/or COMSOL, alongside programming skills in Python or another relevant language to develop your own models and analysis tools.
  • The ability to quickly understand unfamiliar technical problems, identify the key physical processes and adapt your approach across different scientific and engineering domains.
  • A pragmatic approach to analysis, balancing mathematical rigour with the need to reach useful conclusions and make decisions at pace.
  • Strong communication and collaboration skills, with the ability to explain complex analysis clearly and translate results into actionable insights for multidisciplinary teams and clients.

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