Head of Data Science and AI in London

Head of Data Science and AI in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Lead data science and AI initiatives to enhance airport operations at Heathrow.
  • Company: Heathrow Airport, a global leader in aviation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a forward-thinking team dedicated to responsible AI and analytics.
  • 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 London 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.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Science and AI in London

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 interviews – it’s all about making those connections!

Tip Number 2

Show off your skills! 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 help you stand out when we’re looking for candidates.

Tip Number 3

Prepare for the interview by brushing up on your knowledge of responsible AI and governance. Be ready to discuss how you would implement these principles at Heathrow. We want to see that you can not only deliver results but also do it ethically!

Tip Number 4

Don’t forget to apply 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 being part of our team at Heathrow.

We think you need these skills to ace Head of Data Science and AI in London

Data Science
Artificial Intelligence (AI)
Enterprise Analytics
AI Governance
Ethics in AI
Machine Learning
Cloud Platforms for Analytics

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 AI. We want to see how your skills align with the role's responsibilities, so don’t hold back on showcasing your relevant achievements!

Showcase Your Impact:When detailing your past roles, focus on the impact you made. Use specific examples of how your work in data science or AI led to tangible business outcomes. We love seeing numbers and results that demonstrate your contributions!

Keep It Clear and Concise:While we appreciate detail, clarity is key! Make sure your application is easy to read and free from jargon. Remember, we want to understand your experience without getting lost in technical terms.

Apply Through Our Website:We encourage you to apply directly 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 hear about specific projects, so have a few examples up your sleeve.

Understand the Business Side

This role is all about aligning data science with business needs. Familiarise yourself with how data-driven insights can impact decision-making and operational efficiency. Be prepared to explain how your work has turned insights into tangible business outcomes in the past.

Showcase Your Governance Knowledge

Since responsible AI and governance are key aspects of this role, make sure you can articulate your understanding of ethical AI practices. Discuss any frameworks or strategies you've implemented to ensure compliance and reliability in your previous roles.

Communicate Like a Pro

You’ll need to explain complex technical ideas to non-technical audiences, so practice simplifying your language. Think about how you can convey your expertise in a way that’s relatable and easy to understand. This will show them you can bridge the gap between tech and business.