Project

• Leading or participating in client meetings to provide project updates, gather feedback, and address client needs or concerns. Ensuring strong communication and collaboration between the client and internal teams.
• Working closely with the analyst team to ensure the smooth implementation and execution of projects.
• Gathering and integrating client feedback into models and tools, refining and improving the solutions to better meet client expectations and drive efficiency.

Policy Adherence & Compliance

• Ensuring that all client engagement, model development, and project management activities comply with company policies, procedures, and industry standards.
• Complying with documented procedures and actively reporting process deviations or quality concerns to supervisors.
• Adhering to relevant data privacy laws (e.g., GDPR) and ensuring that all client data is handled securely and in compliance with organisational policies.
• Maintaining high standards of quality for all decision support tools and models, ensuring they are delivered on time, within budget, and with the expected level of accuracy.

Key Skills

The skills listed below are relevant to the role but are not all essential. You do not need to meet every criterion to apply, and candidates will be considered based on their overall skills, experience and suitability for the role.

• Strong Python for data analysis and modelling (e.g. pandas, NumPy, SciPy, scikit-learn or similar)
• Strong SQL, including querying, joining and aggregating data across relational databases
• Experience ingesting, cleaning and transforming data from varied sources into a usable form
• Solid grounding in at least one of simulation, optimisation, statistical forecasting or machine learning, with willingness to develop across the others
• Writing maintainable, tested Python suitable for use in a product back end, not just notebooks
• Use of Git and collaborative development practices (code review, branching)
• Ability to translate a client's business problem into an analytical question and an appropriate modelling approach
• Excellent communication, including explaining technical findings and model limitations to non-technical audiences
• Understanding of clients' business objectives, challenges and optimisation requirements, and the business questions decision support tools can answer
• Methodical approach to testing, validation and quality
• Ability to manage own workload across analysis, development and client work
• Ability and willingness to travel to client sites (T&S paid)

Nice-to-have Skills

• Experience in more than one of simulation, optimisation, statistical forecasting or machine learning
• Monte Carlo simulation, Bayesian methods or uncertainty quantification
• Experience building APIs or back-end services in Python (e.g. FastAPI)
• Experience building front ends or interfaces in JavaScript (or a framework such as React)
• Experience presenting to clients or senior stakeholders
• Experience collecting detailed requirements from clients so that decision support tools and models align with their needs and business processes
• Understanding of secure handling of data

Education / Experience

Degree in computer science, engineering, mathematics, statistics or a similar quantitative discipline, or equivalent experience

What We Offer

Salary and Benefits

• £32,000-£58,000 DOE
• Flexible Paid Time Off (PTO) – minimum 28 days
• Company paid medical and dental (optional)
• Salary sacrifice pension scheme with employer contribution
• Company life assurance and income protection
• Structured Career Plans and Professional development

Location and working arrangements

We offer flexible hybrid working, with a minimum of one day per week in the office when not working at a client site. Our standard working hours are 9:00am–5:00pm, Monday to Friday, with flexibility around these hours where business and project requirements allow.

Employment Details

• Permanent, full-time contract
• Start Date – as soon as possible

Security/eligibility Requirements

The role requires successful candidates to undergo Baseline Personnel Security Standard (BPSS) checks, a pre-employment screening standard covering identity, right to work, employment history and criminal record information. Appointment will be subject to satisfactory completion of the required pre-employment screening.

Successful candidates must be eligible to undergo national security vetting. Existing security clearances are advantageous but not essential.

Application Process

Submit a CV and short covering statement.

Closing date for applications is 23 Oct 26

Following applicant reviews, prospective candidates will be invited for an in-person interview and a technical test, followed by a case study with a short presentation.

If you have any questions about the role, email info@lone-star.uk

We Are an Equal Opportunity Employer

We are committed to creating an inclusive and supportive working environment where everyone has the opportunity to succeed. We welcome applications from all suitably qualified candidates and make recruitment decisions based on skills, experience and suitability for the role. We do not discriminate on the basis of protected characteristics under the Equality Act 2010.

Data Protection

Information provided as part of your application will be processed in accordance with applicable UK data protection legislation and our Recruitment Privacy Notice. Your personal information will be used for recruitment and pre-employment screening purposes and will be handled securely and confidentially.

Our Recruitment Privacy Notice explains how we collect, use, retain and protect candidate information and your rights in relation to your personal data. It is available on request.