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For Companies At a Glance
- Tasks: Lead a team to drive AI innovation and data science strategy in government defence.
- Company: Join a leading data enabler in the government defence sector.
- Benefits: Enjoy a hybrid work model with competitive pay and flexible hours.
- Why this job: Shape the future of AI while working with cutting-edge technologies and senior stakeholders.
- Qualifications: Expertise in data science, machine learning, and experience with Azure cloud solutions required.
- Other info: Active SC clearance preferred but not essential; must be eligible for clearance.
The predicted salary is between 54000 - 84000 £ per year.
Location: Commutable from Bristol (Somerset) - Hybrid
Contract: 12 Months
Day Rate: Competitive - Inside IR35
Industry: Government Defence | Data | AI & Machine Learning
Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance.
The Opportunity
Our client, a leading Data enabler in the government defence sector, is seeking an experienced Head of Data Science and AI to drive AI innovation, automation, and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning, enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science within a Microsoft-centric technology environment using Azure cloud solutions.
Key Responsibilities
- Develop and execute the AI and Data Science strategy, delivering efficiency and customer benefits.
- Lead and mentor a team of data scientists, overseeing technical direction, skill development, and project execution.
- Work with senior stakeholders and executives to align AI initiatives with business objectives.
- Oversee AI governance, ensuring compliance with government and defence standards.
- Stay up to date with industry advancements and emerging AI applications.
- Collaborate with external partners, including other government agencies and industry bodies.
- Provide technical leadership on machine learning deployment, MLOps, and model performance monitoring.
Key Requirements
- Expertise in Data Science & Machine Learning, including supervised/unsupervised learning, deep learning, and generative AI.
- Strong understanding of AI ethics, responsible AI practices, and data governance.
- Technical proficiency in Python, R, or C++ with experience in AI model deployment.
- Experience working with Azure cloud-based data solutions and Microsoft enterprise environments.
- Proven track record in leading data science teams, developing capabilities, and driving AI adoption.
- Ability to engage with senior stakeholders, influence strategy, and communicate complex AI concepts.
- Experience in government, defence, or highly regulated industries is highly desirable.
Why Apply?
- Impactful Role – Shape the AI & Data Science strategy for a major government SaaS client.
- Cutting-Edge AI – Work with Azure AI & ML technologies in a Microsoft enterprise environment.
- Flexible Working – Hybrid role with a mix of remote and on-site work in Somerset.
- High-Profile Exposure – Work with senior executives and government stakeholders.
If you’re a data science leader with a passion for AI and automation, we want to hear from you. Apply today or reach out for a confidential discussion.
Head of Data Science and AI employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science and AI
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially within the context of government and defence. This will not only help you understand the industry better but also allow you to engage in meaningful conversations with stakeholders during interviews.
✨Tip Number 2
Network with professionals in the data science and AI fields, particularly those who have experience in government or highly regulated industries. Attend relevant conferences or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Brush up on your technical skills, particularly in Python, R, or C++, as well as your knowledge of Azure cloud solutions. Being able to demonstrate your technical proficiency during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your leadership style and experiences in mentoring data science teams. Highlight specific examples where you've successfully driven AI adoption and aligned initiatives with business objectives, as this will resonate well with the hiring team.
We think you need these skills to ace Head of Data Science and AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and AI, particularly in areas like machine learning, AI ethics, and team leadership. Use specific examples that demonstrate your expertise and achievements in these fields.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your passion for AI and automation. Discuss how your background aligns with the key responsibilities of the role, such as developing AI strategies and leading teams. Be sure to mention your familiarity with Azure cloud solutions.
Highlight Relevant Experience: In your application, emphasise any previous roles where you led data science teams or worked in government or defence sectors. Mention specific projects that showcase your ability to engage with senior stakeholders and influence strategy.
Showcase Technical Skills: Clearly list your technical proficiencies in programming languages like Python, R, or C++. Include any relevant certifications or training in AI and machine learning, as well as your experience with MLOps and model performance monitoring.
How to prepare for a job interview at Experis UK
✨Showcase Your Leadership Experience
As a Head of Data Science and AI, you'll be leading a team. Be prepared to discuss your previous leadership roles, how you mentored teams, and the impact of your guidance on project outcomes.
✨Demonstrate Technical Proficiency
Make sure to highlight your expertise in Python, R, or C++. Be ready to discuss specific projects where you've deployed AI models and how you utilised Azure cloud solutions in those scenarios.
✨Understand AI Ethics and Governance
Given the nature of the role in government defence, it's crucial to demonstrate your understanding of AI ethics and responsible AI practices. Prepare examples of how you've ensured compliance with data governance standards in past projects.
✨Engage with Stakeholders
This role requires collaboration with senior stakeholders. Be ready to share experiences where you've successfully influenced strategy or communicated complex AI concepts to non-technical audiences.
