At a Glance
- Tasks: Lead AI projects in insurance, shaping solutions from design to deployment.
- Company: Join PwC's innovative AI & Modelling team at the forefront of technology.
- Benefits: Flexible working, private medical cover, and generous volunteering days.
- Why this job: Make a real impact in AI transformation within the insurance sector.
- Qualifications: Experience in tech transformation and modern AI approaches required.
- Other info: Collaborate with diverse teams in a fast-paced, evolving environment.
The predicted salary is between 70000 - 90000 ÂŁ per year.
About the role: You’ll be joining PwC’s Risk Line of Service, within our AI & Modelling team, working at the forefront of AI-enabled transformation in the insurance sector. This role is for people who understand technology deeply enough to shape and execute a vision, not just talk about it. You will help insurance clients design, build and embed Generative AI, agentic and advanced analytics solutions across finance, actuarial, pricing, capital and risk functions, operating in an environment where technologies, architectures and regulatory expectations are evolving rapidly. As a Manager / Senior Manager, you will sit close to the technology: shaping solution architecture, guiding engineering and modelling teams, and ensuring that AI solutions are robust, scalable, explainable and fit for purpose in a regulated insurance environment. You will work alongside actuaries, data scientists, engineers and insurance specialists, and will be supported by PwC’s onshore and offshore Technology and AI Centres of Excellence.
What your days will look like:
- Leading the design and delivery of AI-enabled solutions, from problem definition through to deployment, across insurance pricing, reserving, capital modelling, finance transformation and risk analytics.
- Shaping solution architectures for Generative AI and agentic systems, including decisions around data, models, orchestration, controls and integration into existing platforms.
- Working hands-on with technical teams (engineers, data scientists, actuaries) to translate vision into buildable, testable and scalable solutions.
- Navigating fast-moving technology landscapes, assessing emerging tools and approaches, and making informed trade-offs between innovation, risk, cost and time-to-value.
This role is for you if:
- You have strong experience delivering technology-enabled transformation, in insurance or financial services, but with clear hands-on involvement in solution design and delivery.
- You have practical experience with modern AI and analytics approaches, such as: Generative AI and large language model–based systems, Agentic or decision-automation architectures, Advanced analytics and modelling in regulated environments.
- You understand how AI solutions are built and operated, including: Data pipelines and feature engineering, Model lifecycle management (development, testing, monitoring), Integration with enterprise systems and workflows.
- You are comfortable making architectural and design decisions in situations where there is no single “right answer”, and technology choices evolve rapidly.
- You understand insurance finance, actuarial, pricing, risk or capital well enough to design solutions that work in practice, not just in theory.
- You can lead technical teams without needing to be the deepest specialist, providing direction, challenge and structure while enabling others to do their best work.
What you’ll receive from us: No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Senior Manager - Senior Software Engineer (AI Projects) in Bristol employer: PwC
Contact Detail:
PwC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager - Senior Software Engineer (AI Projects) in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at PwC or similar firms. Attend events, webinars, and meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience in AI and software engineering. This gives potential employers a tangible way to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Manager - Senior Software Engineer (AI Projects) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with AI and analytics, especially in insurance or financial services. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-enabled transformation and how your hands-on experience can benefit our team. Keep it engaging and relevant!
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of projects where you’ve designed and delivered AI solutions. We love seeing how you’ve navigated complex tech landscapes!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at PwC
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies, especially Generative AI and advanced analytics. Be ready to discuss how these can be applied in the insurance sector, and think of specific examples where you've successfully implemented similar solutions.
✨Showcase Your Hands-On Experience
Prepare to share concrete examples of your hands-on involvement in solution design and delivery. Highlight projects where you’ve led technical teams and made architectural decisions, demonstrating your ability to navigate complex technology landscapes.
✨Understand the Regulatory Environment
Brush up on the regulatory expectations within the insurance industry. Be prepared to discuss how you ensure that AI solutions are robust, scalable, and compliant, as this will show your understanding of the practical implications of your work.
✨Communicate Clearly with Technical Teams
Practice explaining complex technical concepts in a way that’s accessible to non-specialists. This will be crucial when discussing your vision with actuaries, data scientists, and engineers, so they can understand and execute your ideas effectively.