At a Glance
- Tasks: Lead the direction of data science and AI to enhance airport operations at Heathrow.
- Company: Heathrow Airport, a global leader in aviation innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a team that values responsible AI and offers excellent career advancement.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Proven experience in enterprise-scale data science and AI solutions.
The predicted salary is between 80000 - 100000 £ per year.
This role shapes how data science and AI are used across Heathrow. It sets direction for enterprise analytics and AI services that support safe, efficient and reliable airport operations. The role oversees Data Science and AI services across multiple business areas. It ensures AI use is responsible, well‑governed and delivers clear value. It also supports senior decision‑making through insight and evidence.
Responsibilities
- Set the direction for data science and AI across Heathrow, aligned to business needs.
- Put clear AI governance, ethics and assurance arrangements in place.
- Ensure analytics services are reliable, secure and meet agreed service outcomes.
- Oversee investment, supplier arrangements and value tracking for AI and analytics.
- Build sustainable capability across data science, AI engineering and analytics.
Qualifications
- Strong experience delivering data science or AI solutions at enterprise scale.
- Experience guiding teams that develop and deploy machine learning models.
- Practical knowledge of responsible AI, governance and regulatory expectations.
- Experience shaping strategy and turning insight into business outcomes.
- Experience using cloud platforms for analytics and AI workloads.
- Ability to explain technical ideas clearly to non‑technical audiences.
Desirable
- Experience working in complex operational environments.
- Familiarity with production‑level model deployment and monitoring approaches.
Head of Data Science and AI in Hounslow employer: 慨正橡扯
Heathrow Airport is an exceptional employer, offering a dynamic work environment where innovation in data science and AI directly contributes to the safety and efficiency of one of the world's busiest airports. With a strong commitment to employee growth, we provide opportunities for professional development and encourage a culture of collaboration and ethical governance in AI practices. Join us at Heathrow, where your expertise will not only shape our operations but also enhance the travel experience for millions.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science and AI in Hounslow
✨Tip Number 1
Network like a pro! Reach out to people in the data science and AI field, especially those connected to Heathrow. Attend industry events or webinars, and don’t be shy about asking for informational chats – you never know who might help you land that dream job!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your experience with data science and AI solutions. Include case studies or projects that demonstrate your ability to turn insights into business outcomes. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex technical ideas to non-technical audiences, so practice breaking down your knowledge into simple terms. We want to see how you can make your expertise accessible!
✨Tip Number 4
Stay updated on industry trends! Follow relevant blogs, podcasts, and news sources to keep your knowledge fresh. This will not only help you in interviews but also show your passion for responsible AI and governance, which is key for this role.
We think you need these skills to ace Head of Data Science and AI in Hounslow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of Data Science and AI role. Highlight your experience in delivering data science solutions and any relevant projects that showcase your ability to shape strategy and drive business outcomes.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and AI, and how your skills align with our mission at Heathrow. Don’t forget to mention your experience with responsible AI and governance!
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include specific examples of machine learning models you've developed or deployed, and any cloud platforms you’ve worked with. This will help us understand your hands-on experience.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at 慨正橡扯
✨Know Your Data Science Stuff
Make sure you brush up on your data science and AI knowledge. Be ready to discuss your experience with machine learning models and how you've delivered solutions at an enterprise scale. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Understand AI Governance
Since this role involves setting clear AI governance and ethics, it’s crucial to be familiar with responsible AI practices. Prepare to discuss how you’ve implemented governance frameworks in past roles and how you ensure compliance with regulatory expectations.
✨Showcase Your Strategic Thinking
This position is all about shaping strategy and turning insights into business outcomes. Think of examples where you’ve successfully aligned data science initiatives with business needs. Be ready to explain how your strategic decisions have led to tangible results.
✨Communicate Like a Pro
You’ll need to explain complex technical ideas to non-technical audiences, so practice simplifying your language. Prepare some examples of how you’ve effectively communicated data-driven insights to stakeholders in the past. This will show you can bridge the gap between tech and business.
