Physicist

Applied Data Science Partners; Corsham; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary & bonus

26 days annual leave

BUPA Private Healthcare

Enhanced family leave

£1,000 development budget

Hybrid working (2 days in Shoreditch)

Remote work up to 4 weeks/year

Latest tech hardware

Snacks & team socials

Autonomy & diverse projects

Job summary

Applied Data Science Partners is seeking a highly skilled Physicist to deliver advanced mathematical workstreams within UK Defence and Security programmes. You will lead collaborations with engineers and software teams, translating requirements into rigorous analytical frameworks and deploying production-ready models.

You will mentor junior analysts, author technical reports, and contribute to competitive bids while ensuring compliance with security classifications and delivering robust,

Qualifications

• A mathematics or quantitative degree with strong analytical ability.
• Experience leading technical delivery teams in defence/aerospace sectors.
• Practical use of Monte Carlo simulation and Bayesian inference.
• Familiarity with MoD assessment frameworks and UK DST landscape.
• Peer reviews of complex analytical code and proofs.
• Ability to present technical concepts to military stakeholders and civil servants.
• End-to-end model development from formulation to production deployment.
• Experience in secure environments with classified information handling.
• Proficiency in numerical methods, optimization, and statistics in defence.
• Knowledge of Python (NumPy/SciPy), FORTRAN, or Julia for modelling.

Responsibilities

• Lead the technical delivery of advanced mathematical workstreams for UK Defence and Security.
• Develop and implement complex models to simulate battlefield scenarios and constraints.
• Translate military requirements into analytical frameworks and specs.
• Oversee bespoke algorithms for signal processing, sensor fusion, or autonomous decisions.
• Provide V&V of models to ensure mission-critical robustness.
• Lead OA projects for MoD stakeholders with evidence-based decisions.
• Collaborate with engineers to integrate kernels into synthetic environments.
• Apply stochastic modelling, game theory, or optimisation to defence problems.
• Mentor junior analysts and foster technical excellence.
• Author technical reports and peer-reviewed papers for thought leadership.
• Contribute to technical bid activities and complex proposals.
• Manage lifecycle of sensitive data and comply with security classifications.
• Represent the organisation at MoD and industry forums.

Skills

Monte Carlo

Bayesian inference

Python NumPy SciPy

FORTRAN

Julia

Mathematics

Leadership

Stakeholder mgmt

Modeling

V&V

Education

Mathematics degree

Theoretical Physics

Quantitative discipline

Tools

Simulation tools

Python

FORTRAN

Julia

Job description

We are looking for a Physicistwhoenjoys seeing their work used as part of ‘real-life’ solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team.

In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data science solutions.

KEY RESPONSIBILITIES:

• Lead the technical delivery of advanced mathematical workstreams supporting UK Defence and Security programmes.

• Develop and implement complex mathematical models to simulate battlefield scenarios, platform performance, or logistical constraints.

• Translate high-level military requirements into rigorous analytical frameworks and technical specifications.

• Oversee the development of bespoke algorithms for signal processing, sensor fusion, or autonomous system decision-making.

• Provide expert verification and validation (V&V) of models to ensure they are robust enough for mission-critical applications.

• Lead Operational Analysis (OA) projects to support evidence-based decision-making for Ministry of Defence (MoD) stakeholders.

• Collaborate with cross-functional teams of engineers and software developers to integrate mathematical kernels into larger synthetic environments.

• Provide technical leadership in the application of stochastic modelling, game theory, or optimisation to complex defence problems.

• Mentor junior analysts and mathematicians, fostering a culture of technical excellence and continuous professional development.

• Author high-quality technical reports and peer-reviewed papers to demonstrate thought leadership within the defence community.

• Contribute mathematical expertise to technical bid activities and the drafting of complex commercial proposals.

• Manage the lifecycle of sensitive data, ensuring all modelling activities comply with UK government security classifications.

• Represent the organisation at technical forums, symposia, and working groups involving MoD and industry partners.

KEY REQUIREMENTS:

• A degree in Mathematics, Theoretical Physics, or a strongly related quantitative discipline.

• Experience leading technical delivery teams within the UK Defence or Aerospace sectors.

• Experience in the practical application of mathematical techniques such as Monte Carlo simulation or Bayesian inference.

• Experience working with MoD assessment frameworks and an understanding of the UK Defence Science and Technology (S&T) landscape.

• Experience conducting peer reviews of complex analytical code and mathematical proofs.

• Experience presenting highly technical or abstract concepts to military stakeholders and senior civil servants.

• Experience in the end-to-end development of models, from initial mathematical formulation to deployment in a production environment.

• Experience working within secure environments and an understanding of the constraints of working with classified information.

• Expert knowledge of numerical methods, optimisation, and statistical analysis within a defence context Proficiency in mathematical programming using Python (NumPy, SciPy), FORTRAN, or Julia.

• Familiarity with simulation tools and synthetic environments used for military training and experimentation.

• Strong understanding of the trade-offs between model fidelity, computational efficiency, and real-time performance.

• Excellent problem-solving skills with the ability to maintain mathematical rigour under tight project deadlines.

• Ability to lead multidisciplinary teams and manage stakeholder expectations across complex programmes.

• Effective organisational skills with a proactive approach to managing simultaneous workstreams.

• High level of integrity and attention to detail, particularly regarding the accuracy of safety-critical or mission-critical models.

INTERVIEW PROCESS:

Stage 1: 20 min video call with a member of the hiring team

Stage 2: 45 mins live coding task

Stage 3: 90 min F2F interview in our London office

OUR BENEFITS:

• Competitive compensation package including annual performance bonus

• 26 days of annual leave, 8 bank holidays plus your birthday off

• BUPA Private Healthcare

• Enhanced family leave

• £1,000 annual development budget

• Flexible hybrid working (2 days a week in our modern Shoreditch office)

• Remote working from anywhere in the world for up to 4 weeks each year

• Latest tech that suits your needs: high-spec Windows machine or a MacBook

• Free snacks and drinks, and regular team socials

• Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries

Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future.

OUR COMMITTMENT TODEI:

At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at [e-mail]