At a Glance
- Tasks: Join a dynamic team to transform data into actionable insights for Defence and Security.
- Company: Innovative firm focused on AI solutions in Defence and Security.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities for continual learning and development.
- Why this job: Make a real-world impact using cutting-edge data science and machine learning techniques.
- Qualifications: Experience in data analysis, strong communication skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on Defence and Security clients. Your primary responsibility is to make data valuable for our clients. This will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, applying structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.
Responsibilities
- Research and develop innovative solutions that deliver real‑world impact.
- Pioneer implementation of new techniques and technologies.
- Participate in all phases of the lifecycle from capturing user needs and developing prototypes to scaling and managing live services.
- Help apply data science, machine learning and AI techniques creatively to solve complex problems.
- Be responsible for the high‑quality delivery of projects.
- Shape new propositions and support winning new projects.
- Support continual learning and development in the team.
- Develop a deep understanding of the Defence and Security sector and the context for AI solutions and services to be successful.
Essential Skills and Experience
- Experience in identifying, analysing, prioritising and validating business and user requirements for data and data science products and services.
- Experience in conducting options analyses, feasibility assessments, impact assessments, and value estimations that contribute to business case development.
- Experience in identifying and comparing the best processes or delivery methods to deliver data and data science capabilities, including measuring and evaluating outcomes.
- Hands‑on experience of helping apply data science or machine learning in Defence/Security, wider public sector, or in academia.
- Strong communication skills, including preparing accessible, engaging and impactful reports and presentations and conveying complex issues to diverse audiences.
- Ability to effectively communicate complex business problems with technical and non‑technical stakeholders.
- Building productive relationships with colleagues and clients.
- Evidence of contribution to practice development, including developing new propositions, mentoring colleagues and supporting bid work.
Desirable Experience
- Experience working with limited direction to complete tasks and create defined deliverables linked to a project.
- Understanding of how to apply data and data science techniques for data analysis.
- An understanding of mathematics, statistics, and probability.
- Knowledge of data visualisation tools and ability to create dashboards and reports.
- Knowledge of the machine learning lifecycle, from prototyping state‑of‑the‑art to scaling and managing for enterprise use.
- Understanding of key considerations for Ethical and Responsible data and AI, and experience applying them.
Security Clearance
All applicants must hold UK security clearance to Developed Vetting level.
Location & Working Policy
You will be based in Bristol, London or Manchester with a hybrid working arrangement that includes working in the local office, virtual collaboration spaces, client sites and remotely, as required by the role.
AI & Data Strategist for Defence & Security in London employer: Hm Revenue & Customs (Hmrc)
As an AI & Data Strategist for Defence & Security, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. Our commitment to professional development is matched by a supportive work culture that encourages creativity and the application of cutting-edge technologies, all while working in vibrant cities like Bristol, London, or Manchester. Join us to make a meaningful impact in the Defence and Security sector, where your contributions will be valued and recognised.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Strategist for Defence & Security in London
✨Network Like a Pro
Get out there and connect with people in the Defence and Security sector. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with data science and machine learning. Share specific examples of how you've tackled complex problems and delivered real-world impact. We want to see your passion shine through!
✨Ask Smart Questions
During interviews, don’t just wait for them to ask you questions. Show your interest by asking insightful questions about their projects and challenges in the Defence and Security space. This not only demonstrates your knowledge but also helps you gauge if the role is right for you.
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and making a difference in the field of AI and data strategy!
We think you need these skills to ace AI & Data Strategist for Defence & Security in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data science and machine learning, especially in the Defence and Security sector. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Showcase Your Communication Skills:Since strong communication is key for this role, include examples of how you've effectively conveyed complex ideas to both technical and non-technical audiences. We love seeing candidates who can bridge that gap!
Highlight Your Problem-Solving Abilities:We’re looking for innovative thinkers! Share specific instances where you’ve creatively applied data science or AI techniques to solve real-world problems. This will help us understand your approach to tackling challenges.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Data Science Basics
Brush up on your data science and machine learning fundamentals. Be ready to discuss how you've applied these techniques in real-world scenarios, especially in Defence and Security contexts. This will show that you understand the core principles and can translate them into actionable insights.
✨Understand the Sector
Do your homework on the Defence and Security sector. Familiarise yourself with current challenges and opportunities within the industry. This knowledge will help you demonstrate your commitment and ability to contribute effectively to the team’s goals.
✨Prepare for Stakeholder Engagement
Think about how you would communicate complex data issues to both technical and non-technical stakeholders. Prepare examples of how you've successfully built relationships and conveyed important information in previous roles. This is crucial for the role as it involves working closely with various stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific projects where you've identified and solved complex problems using data science or machine learning. Highlight your thought process, the techniques you used, and the impact of your solutions. This will illustrate your hands-on experience and innovative thinking.
