At a Glance
- Tasks: Lead data science projects to enhance business performance and decision-making.
- Company: Join British Airways, a leader in the airline industry with a focus on innovation.
- Benefits: Enjoy competitive salary, unlimited flight benefits, and opportunities for personal growth.
- Other info: Be part of a diverse team committed to inclusion and continuous improvement.
- Why this job: Make a real impact using advanced analytics and machine learning in a dynamic environment.
- Qualifications: Strong analytical skills and experience with Python, SQL, and data science techniques.
The predicted salary is between 60000 - 80000 £ per year.
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. 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.
Senior Data Scientist - Ops & Networks employer: British Airways PLC
British Airways is an exceptional employer that values its employees by offering competitive salaries and outstanding benefits, including unlimited staff travel on flights and discounted airfares for friends and family. The company fosters a collaborative and inclusive work culture, encouraging continuous professional development and providing opportunities for growth across various business areas. With a strong commitment to diversity and innovation, British Airways creates an environment where every team member can thrive and contribute to meaningful outcomes in the aviation industry.
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 employees at British Airways on LinkedIn or through industry events. 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 practising common data science scenarios. Think about how you’d tackle complex problems and be ready to discuss your past projects. We want to see your analytical mindset in action!
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve got projects that highlight your experience with Python, SQL, or machine learning, make sure to share them. It’s a great way to demonstrate your capabilities beyond just words.
✨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 joining the British Airways team.
We think you need these skills to ace Senior Data Scientist - Ops & Networks
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data science solutions. We want to see how your skills align with the role, so don’t hold back on showcasing your analytical mindset and problem-solving abilities!
Showcase Your Projects:When detailing your experience, include specific examples of data science projects you've delivered. We love seeing how you've scoped complex problems and developed solutions that made a real impact on business outcomes.
Communicate Clearly:Remember, we’re looking for someone who can translate complex data insights into actionable recommendations. Use clear language in your application to demonstrate your ability to communicate effectively with various stakeholders.
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 this exciting opportunity. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at British Airways PLC
✨Understand the Role
Before your interview, make sure you thoroughly understand the Senior Data Scientist role and its responsibilities. Familiarise yourself with how data science solutions can impact decision-making in an airline context. This will help you articulate how your skills align with the company's goals.
✨Showcase Your Projects
Prepare to discuss specific data science projects you've worked on, especially those involving complex datasets and predictive models. Be ready to explain your thought process, the tools you used (like Python and SQL), and the outcomes of your work. This demonstrates your hands-on experience and analytical mindset.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. Since you'll need to communicate insights to various stakeholders, being able to translate technical jargon into actionable recommendations is crucial. Use examples from your past experiences to illustrate this skill.
✨Emphasise Collaboration
Highlight your experience working within cross-functional teams. Discuss how you've collaborated with software teams to productionise models or mentored others in data science techniques. This shows that you're not just a lone wolf but someone who thrives in a team environment, which is essential for this role.
