At a Glance
- Tasks: Lead the data and AI community strategy, fostering collaboration and career growth.
- Company: Join British Airways, a pioneering airline with over 100 years of history.
- Benefits: Enjoy amazing staff travel perks, competitive salary, and opportunities for personal growth.
- Other info: Be part of a diverse team committed to inclusion and innovation.
- Why this job: Shape the future of data and AI while making a real impact in a global company.
- Qualifications: Experience in building professional communities and delivering learning programmes in data or AI.
The predicted salary is between 56700 - 69300 £ per year.
A career without limits. As the nation’s flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It’s something we’ve been doing for over 100 years, ever since we launched the world’s first international scheduled air service between London and Paris. This originality has been in our blood since day one. It’s the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you’re inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit.
This role is responsible for shaping and delivering the data and AI community and talent strategy within British Airways, focusing on professional growth, peer connection, and long-term capability building. It leads the design and delivery of learning pathways, career development opportunities, and engagement activities that support the retention and progression of data professionals. Working in close partnership with the Head of Data & AI Engagement and Community, as well as HR, Learning & Development, and business-aligned teams, the role ensures the community has the tools, confidence, and support to grow in capability and influence. It also helps define the internal brand of data and AI at BA, promoting visibility of talent, success, and opportunity.
What you’ll do:
- Leads the design and delivery of a data and AI community strategy that supports collaboration, knowledge sharing, and long-term career growth.
- Partners with HR, Learning & Development, and delivery leaders to shape and deliver structured learning pathways aligned to BA’s data capability goals.
- Drives the development and visibility of talent through mentoring, coaching, internal mobility, and peer learning initiatives.
- Promotes the internal brand of data and AI by curating events, storytelling successes, and connecting people through shared interests and challenges.
- Builds and nurtures a diverse and inclusive community that reflects the full range of data roles and disciplines across British Airways.
- Uses feedback, metrics, and insight to continuously improve community engagement, capability growth, and retention outcomes.
- Acts as a connector across the Data & AI Leadership Team to ensure the community and talent strategy reflects real-world needs and future direction.
What you’ll bring to British Airways:
- Experience building professional communities or leading capability development in data, AI, ML or related technical domains, applying an understanding of organisational needs to shape that development strategically.
- A solid understanding of core data, AI and ML concepts and how they apply in business and product contexts, with the ability to translate this into relevant learning and development programmes.
- A proven track record of delivering learning programmes and career development initiatives in partnership with HR, L&D or technical leaders, aligned to business goals and capability outcomes.
- Experience curating or delivering events, knowledge-sharing forums or peer learning networks, designing inclusive and accessible experiences tailored to different teams and technical levels.
- Strong collaboration and stakeholder engagement skills, building trusted relationships across technical and non-technical audiences to support shared development goals.
- Clear, confident communication, with the ability to articulate the value of talent and community to stakeholders at all levels.
- Uses feedback and insight to make informed decisions, adapting learning offers and community models as business needs, emerging technologies and user feedback evolve.
- A genuine passion for helping others grow, by sharing knowledge, creating opportunities and encouraging continuous learning in data, AI and ML.
What we offer:
We believe that all the people who work with us should feel valued for the part they play. It’s one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you’ll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You’ll also receive up to 30 discounted ‘Hotline’ airfares per year for yourself, friends, and family. At British Airways you’ll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don’t expect our people to either.
Inclusion & Diversity:
At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we’re committed to creating a culture where everyone feels that they can be themselves. We’re looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Data and AI Community and Talent Lead in London employer: British Airways
British Airways is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the aviation industry. As a Lead Product Data Scientist, you will have access to cutting-edge technology and significant opportunities for professional growth, all while contributing to impactful projects that enhance operational efficiency. With a commitment to employee development and a focus on delivering measurable business value, British Airways provides a rewarding environment for those looking to make a difference in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Community and Talent Lead in London
✨Get Involved in Data Science Meetups
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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 British Airways.
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When you find a suitable opening like Data and AI Community and Talent Lead at British Airways, 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 Data and AI Community and Talent Lead in London
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 British Airways, 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 British Airways. 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 British Airways
✨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 British Airways!
✨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.