Lancaster Resources
Senior Software Engineer - AI Projects

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We are supporting a leading global consulting company with the appointment of a Senior Software Engineer to join its AI & Modelling team within their Risk practice.
You will help insurance clients design, build and embed AI-enabled solutions across finance, actuarial, pricing, capital and risk. This is a hands-on technical leadership role for someone who can shape solution architecture, guide engineering delivery and turn emerging AI capability into robust, scalable solutions for regulated environments.
This is a permanent role operating at Manager grade and can be worked on a hybrid (3 day p/w) basis out of any of our client's UK offices.
The role
You will work closely with insurance specialists, actuaries, data scientists and engineers to deliver Generative AI, agentic AI and advanced analytics solutions from initial problem definition through to deployment.
Key responsibilities will include:
- Leading the design and delivery of AI-enabled solutions for insurance clients across pricing, reserving, capital modelling, finance transformation and risk analytics.
- Shaping solution architectures for Generative AI and agentic systems, including data, models, orchestration, controls and integration with existing enterprise platforms.
- Working hands-on with technical teams to translate business requirements into practical, testable and scalable solutions.
- Providing technical direction, challenge and structure to engineering and modelling teams throughout delivery.
- Assessing emerging technologies and making informed decisions around innovation, risk, cost, scalability and time-to-value.
- Ensuring AI solutions are explainable, well controlled and appropriate for use within a regulated insurance environment.
- Building trusted relationships with client stakeholders and clearly communicating technical concepts to both technical and non-technical audiences.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About you
You will bring strong experience delivering technology-enabled transformation within insurance or wider financial services, alongside clear hands-on involvement in technical solution design and delivery.
You are likely to have experience in several of the following areas:
- Generative AI and LLM-based solutions.
- Agentic AI, decision automation or workflow orchestration.
- Advanced analytics, data science or modelling in regulated environments.
- Solution architecture, software engineering and enterprise systems integration.
- Data pipelines, feature engineering and data platforms.
- Model lifecycle management, including development, testing, deployment, monitoring and governance.
- Designing and delivering technology solutions within insurance finance, actuarial, pricing, reserving, capital or risk functions.


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You will be comfortable operating where technology and regulatory expectations are evolving quickly, balancing innovation with robust delivery and control. You will also have the leadership skills to guide technical teams without needing to be the deepest specialist in every area.
Lancaster Resources Ltd is operating as an employment agency for this opportunity. Applications will be considered fairly and objectively, based on relevant skills, experience and suitability for the position. By submitting your application, you agree to the use of your personal data in line with our Privacy Policy and applicable data protection legislation. We are committed to equality of opportunity and do not discriminate on the grounds of age, gender, disability, race, religion or belief, sexual orientation, or any other protected characteristic. Should you require any reasonable adjustments at any stage of the recruitment process, please inform us.
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