At a Glance
- Tasks: Lead data science projects to enhance business performance and decision-making.
- Company: Join British Airways, a pioneering airline with over 100 years of history.
- Benefits: Enjoy competitive salary, unlimited flight benefits, and career development opportunities.
- Other info: Be part of a diverse team committed to innovation and inclusion.
- Why this job: Make a real impact using advanced analytics in a dynamic environment.
- Qualifications: Strong analytical skills and experience with Python, SQL, and machine learning.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with British Airways to connect them with exceptional professionals for this role. 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. 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.
The Role Senior Data Scientist
You’ll be part of the Operations Delivery Intelligence directorate, delivering high‑value data science solutions that improve business performance and decision‑making. This team plays a key role in enabling the airline to use advanced analytics, machine learning and data‑driven insight to support critical business decisions and deliver measurable outcomes.
What You’ll Do
- Deliver and manage data science projects from scoping through to delivery
- Scope and structure complex, ill‑defined business problems and develop solutions aligned to business goals
- Acquire, process and analyse large and complex datasets to create high‑quality model inputs
- Design, build and test data science products such as predictive models, optimisation tools and decision‑support systems
- Extract insights from data, identifying trends and patterns and providing actionable recommendations
- Work with software teams to productionise models and deliver application outputs
- Translate analytical results into clear, actionable recommendations
- Provide guidance to stakeholders on how data science solutions improve business outcomes
- Work within cross‑functional business and Digital teams
- Manage, improve and decommission existing data science products to ensure ongoing value
- Monitor industry trends and data science use cases
- Ensure adherence to frameworks, model compliance and ethical standards
- Develop, maintain and share best practice
- Coach and mentor other team members
- Provide ad hoc team cover when required
What You’ll Bring To British Airways
- Strong analytical mindset with the ability to structure complex problems
- Experience delivering data science solutions that support decision‑making
- Ability to communicate complex outputs clearly to a range of audiences
- Confidence engaging and influencing stakeholders
- Experience coaching and mentoring others on projects
- Strong collaborative and consultative working style
- Ethical and responsible approach to data science
- Ability to work effectively in ambiguity
- Proactive, resilient and delivery‑focused mindset
- Continuous improvement approach to ways of working
Your Experience
- Numerate degree or equivalent with data science components
- Experience applying data science, analytics or operational research techniques
- Experience working within data science, data analytics, business intelligence or data visualisation environments
- Strong experience working with tools such as Python, SQL and machine learning techniques
What We Offer
We believe that all the people who work with us should feel valued for the part they play. 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.
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.
Senior Data Scientist - Ops & Networks employer: hackajob
At British Airways, we pride ourselves on being an exceptional employer that values innovation and diversity. As a Senior Data Scientist, you'll not only enjoy competitive salaries and outstanding staff travel benefits, but also thrive in a collaborative work culture that encourages personal growth and continuous improvement. With opportunities to mentor others and engage in meaningful projects that impact the airline's operations, your career here is truly limitless.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Ops & Networks
✨Tip Number 1
Network like a pro! Reach out to current or former employees at British Airways on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss your past projects and how they align with British Airways' goals. Show them you’re not just a number cruncher but a problem solver!
✨Tip Number 3
Don’t forget to showcase your soft skills! British Airways values collaboration and communication, so be sure to highlight your ability to work in teams and influence stakeholders during your discussions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the British Airways family. Let’s get you that dream job!
We think you need these skills to ace Senior Data Scientist - Ops & Networks
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on and how they relate to the role at British Airways. We want to see your excitement for using data to drive decisions.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with Python, SQL, and machine learning techniques, as these are key for the Senior Data Scientist position. We love seeing how your skills align with what we’re looking for!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain complex concepts, as you’ll need to communicate effectively with various stakeholders. We appreciate clarity and want to see how you can make data insights accessible to everyone.
Apply Through Our Website: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 us that you’re serious about joining the British Airways team. We can’t wait to see what you bring to the table!
How to prepare for a job interview at hackajob
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and SQL. Be ready to discuss specific projects where you've applied machine learning techniques and how they impacted decision-making.
✨Communicate Clearly
Practice explaining complex data outputs in simple terms. You might be asked to present your findings to stakeholders who aren't data experts, so being able to translate technical jargon into actionable insights is key.
✨Show Your Problem-Solving Skills
Prepare examples of how you've scoped and structured complex business problems in the past. Think about how you approached these challenges and what solutions you developed that aligned with business goals.
✨Be a Team Player
British Airways values collaboration, so be ready to discuss your experience working within cross-functional teams. Highlight any mentoring or coaching roles you've taken on, as this shows your ability to support and uplift others in the workplace.
