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Defence Analytics Engineer

External
leonardocompany logoLeonardocompany · United Kingdom
Part-timeHybrid4d ago
Machine LearningPython
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Responsibilities

  • This is intended as a fulltime position, but we would consider part time working of 4 days per week. This is primarily an on-site role with some possibility for hybrid working.
  • Customer Integration: You will be a member of a weapons project team within our larger Defence Analytics Group working in Central London. The group is integrated into a joint unit with government employees, members of the armed forces, and other contractors.
  • Collaboration: You will be working in close liaison with teams within the UK and partner nations, with the opportunity to contribute, influence, challenge and improve joint ways of working and knowledge.
  • Breadth: You will be working in an environment where both the complexity and capabilities of the systems are continually evolving throughout the world.
  • What you'll do as a Defence Analytics Engineer:
  • Conduct analysis through the application of physical principles to real world problems. This will be facilitated through the suite of in-house software tools and the development of ad-hoc software, primarily in Python.
  • Production of reports and presentations of your work and presentation of them to local MOD customers and the wider community both within the UK and partner nations.
  • Provide ad hoc advice and support to MOD customers, often at short notice.
  • Use your developing experience and knowledge to propose and implement improvements to tools and processes.
  • In conjunction with the project team conduct regular liaison with both MOD and the wider customer base to keep them informed of recent developments and to determine future analysis requirements.
  • Seek co-operative and collaborative approaches with our UK and multi-national partners, identifying best practice.
  • Travel for technical exchanges with our partners, in the UK and abroad.

Requirements

  • A good understanding of scientific methods and their use through the application of fundamental physical principles.
  • A degree in a STEM subject and strong numerical and analytical skills, with the ability to apply these to real world problems.
  • Good Interpersonal skills to facilitate collaborative and effective working within an inter-disciplinary team.
  • Ability to problem solve and self-steer, work to deadlines as necessary, sometimes at short notice.
  • Ability to communicate, both in writing and verbally, with audiences of differing technical backgrounds and seniority.
  • Although not essential, an appreciation of aerospace technologies, such as aerodynamics, propulsion, guidance & control, weapon systems and sensors would be an advantage.
  • Experience of Python, C# and AI/ML would be a distinct advantage.
  • This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn.
  • Security Clearance
  • Why join us
  • Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12

Benefits

Health insuranceEquity / stock options

Additional Information

Job Description: Salary Range: £40,000 - £71,400 basic with a 12.5% uplift Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity.


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