At a Glance
- Tasks: Lead AI initiatives, assess proposals, and ensure alignment with strategic goals.
- Company: Join AWE, a leader in national safety and innovative technology.
- Benefits: Competitive salary, flexible working, generous leave, and professional development support.
- Other info: Enjoy a dynamic work environment with excellent career growth opportunities.
- Why this job: Make a real impact in AI while contributing to national security.
- Qualifications: Degree in relevant field and experience in AI or data analytics projects.
The predicted salary is between 41000 - 81000 £ per year.
Salary: £41,000 - 81,000 per year
Requirements
- Bachelors degree, or equivalent professional experience, in a relevant field such as Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
- Substantial experience leading, managing, or critically evaluating technology-driven initiatives, preferably including AI or data analytics projects, from initial concept through to delivery.
- Experience working in a high-security, highly regulated environment such as defence, nuclear, or government R&D.
- Broad technical acumen in AI/ML and data analytics, with the ability to understand AI technologies, data requirements, and solution approaches well enough to engage in technical discussions and identify feasibility issues or risks.
- Excellent analytical and critical thinking skills, with the ability to interrogate complex ideas, ask insightful questions, and assess 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 technical teams and senior leaders.
Responsibilities
- Lead our central AI idea intake hub as the organisations single front door for AI proposals.
- Own, operate, and continuously improve 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.
- Maintain a continuously updated, organisation-wide view of all AI initiatives, including a unified AI project portfolio and roadmap.
- Ensure all AI projects support our strategic goals, regulatory constraints, and security requirements.
- Redirect low-value or misaligned ideas toward higher‑impact opportunities.
- Direct approved ideas to the appropriate delivery path and ensure smooth handover with clear context and expectations.
- Work with PMO and EPMO to embed significant AI initiatives into formal project governance, ensuring oversight, risk management, reporting, and resourcing.
- Accelerate high‑value use cases, identify quick wins, prevent duplication, and maintain pace across the AI project portfolio.
- Build strong relationships with senior leaders, business units, technical teams, and external partners to secure alignment, collaboration, and support for AI initiatives.
- Publish portfolio updates, guidance on proposing ideas, success stories, and best‑practice playbooks in partnership with the AI Governance pillar.
- Promote transparency and help stakeholders understand how to engage with our AI hub.
Technologies
- AI
- Support
- Security
This is a permanent role based at RG7 4PR, between Reading and Basingstoke, with free onsite parking. The package is £61,460 - £90,000 per annum depending on suitability, qualifications, and experience. We operate a 9‑day working fortnight, offer flexible working requests, and provide hybrid working on an informal, non‑contractual basis. Our award‑winning benefits include generous annual leave, a contributory pension scheme, family‑friendly leave, professional development support, employee assistance and occupational health services, life assurance, discounts, and special leave for volunteering, public service, and caring.
AI Valuation Specialist in Sherborne St John employer: Sivara GmbH
At AWE, we pride ourselves on being an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the field of AI. Our commitment to employee growth is evident through our professional development support and flexible working arrangements, including a 9-day working fortnight and hybrid options. Located conveniently between Reading and Basingstoke, we provide a supportive environment with generous benefits, ensuring our team members can thrive both personally and professionally while contributing to our mission of national safety.
StudySmarter Expert Advice🤫
We think this is how you could land AI Valuation Specialist in Sherborne St John
✨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 Sivara GmbH!
✨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 at Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like AI Valuation Specialist at Sivara GmbH, 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 in Sherborne St John
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
