At a Glance
- Tasks: Lead AI initiatives, assess proposals, and manage a unified AI project portfolio.
- Company: AWE, a key player in national safety and innovation.
- Benefits: Competitive salary, 9-day working fortnight, generous leave, and professional development opportunities.
- Other info: Flexible working options and strong support for personal and professional development.
- Why this job: Make a real impact in AI while enjoying work-life balance and career growth.
- Qualifications: Degree in relevant field and experience in tech-driven projects, preferably in AI.
The predicted salary is between 61460 - 90000 £ per year.
Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.
Package: £61,460 - £90,000 p.a (depending on your suitability, qualifications, and level of experience).
Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.
Responsibilities to include:
- Lead AWE's central AI idea intake hub as the organisation's single front door for AI proposals, owning, operating and continuously improving the intake and triage process so every submission is logged, screened and given a clear outcome aligned to mission priorities.
- Rapidly assess ideas against strategic alignment, value, feasibility, readiness, security and funding criteria. Recommend whether proposals should be approved, deferred or declined, with clear justification.
- Own a continuously updated, organisation-wide view of all AI initiatives, maintaining a unified AI project portfolio and roadmap that shows priorities, timelines, dependencies and alignment to business objectives.
- Ensure all AI projects support AWE's strategic goals, regulatory constraints and security requirements. Redirect low-value or misaligned ideas to focus effort on high-impact opportunities.
- Direct each approved idea to the appropriate delivery path (e.g., AI Adoption for quick wins, Enterprise AI for complex builds) and ensure smooth handover with clear context and expectations.
- Work with PMO/EPMO to embed significant AI initiatives into formal project governance, ensuring proper oversight, risk management, reporting and resourcing.
Additional duties:
- Accelerate high-value use cases, identify quick wins, prevent duplication and maintain pace across the AI project portfolio to maximise organisational impact.
- Build strong relationships with senior leaders, business units, technical teams and external partners (e.g., MoD, industry, academia) to secure alignment, collaboration and support for AI initiatives.
- Publish portfolio updates, guidance on proposing ideas, success stories and best-practice playbooks, partnering with the AI Governance pillar to ensure consistent guidance and a coordinated approach across AWE. Promote transparency and help stakeholders understand how to engage with the AI hub.
Who are we looking for?
We do need you to have the following:
- Bachelor's degree (or equivalent professional experience) in a relevant field such as Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
- Substantial experience in leading, managing or critically evaluating technology-driven initiatives - preferably including AI or data analytics projects - from initial concept through to delivery.
- Experience working within a high-security, highly regulated environment (such as defence, nuclear, or government R&D) is critical, providing a deep understanding of how to navigate formal governance, security constraints, and organisational culture when driving innovation.
- Broad technical acumen in AI/ML and data analytics - able to understand the fundamentals of AI technologies, data requirements, and solution approaches sufficiently to engage in technical discussions and identify potential feasibility issues or risks.
- Excellent analytical and critical thinking skills, capable of interrogating complex ideas, asking insightful questions and synthesising information to determine an initiative's likely value and viability.
- Excellent communication and stakeholder engagement skills, with the credibility and influence to translate technical AI detail into clear business impact and recommendations for both technical teams and senior leaders.
We ask a lot and set the bar high because our work truly matters. In return we offer balance, with award winning benefits including:
- 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.
- Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).
- Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.
- Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.
- Employee Assistance Programme and Occupational Health Services.
- Life Assurance (4 x annual salary).
- Discounts - access to savings on a wide range of everyday spending.
- Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.
- Hybrid working is available for this role on an informal, non-contractual basis.
AI Valuation Specialist - Aldermaston in Tadley employer: What Jobs
At AWE, we pride ourselves on being more than just an employer; we are a community dedicated to keeping the nation safe through innovative AI solutions. Our collaborative work culture fosters professional growth and offers a unique 9-day working fortnight, allowing for a healthy work-life balance. With competitive benefits, including generous leave policies and a strong commitment to employee development, AWE is an exceptional place for those looking to make a meaningful impact in a highly regulated environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Valuation Specialist - Aldermaston in Tadley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like What Jobs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Valuation Specialist - Aldermaston at What Jobs.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like What Jobs.
✨Apply Directly through Our Website
When you find a suitable opening like AI Valuation Specialist - Aldermaston at What Jobs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Valuation Specialist - Aldermaston in Tadley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at What Jobs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at What Jobs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at What Jobs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at What Jobs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.