Senior Data Scientist - Crawley

Job details

Salary: Competitive

Hours: Full Time

Location: Hybrid working -The VHQ Crawley(3 days on site and 2 days from home)

Contract: Permanent 

Closing Date: 1st December 20224

In a nutshell

Are you ready to transform data into powerful insights that drive the future of Virgin Atlantic? As a Senior Data Scientist, you will harness predictive modelling, cutting-edge machine learning and GenAI to deliver actionable insights that directly influence key business decisions.  

In this pivotal role, you will manage data science projects from inception to delivery, ensuring timely execution and clear, impactful communication with stakeholders. Your ability to present analytical findings and recommendations will help shape strategies across the organisation, driving tangible results.  

You will take ownership of gathering and preparing data from diverse sources, developing and maintaining robust ML pipelines that ensure the quality, consistency, and governance of our machine learning models. Your work will be crucial in generating actionable insights, developing interactive applications or ML engines, and continuously refining processes to enhance business decision support. 

Collaboration is key, and you will work alongside cross-functional teams to share knowledge, best practices, and mentor junior analysts, fostering a culture of continuous learning and innovation. By staying at the forefront of developments in data science, you'll help Virgin Atlantic maintain its competitive edge and drive continuous improvement across all areas of the business.  

If you are passionate about data science and ready to make a significant impact, this is your opportunity to excel at Virgin Atlantic and take your career to new heights.  

Day to day

• Determine and implement data science and operational research strategies to optimize our business processes.
• Conduct in-depth analysis and modelling to identify trends, patterns, and opportunities for improvement.
• Build high-impact data science applications - fundamentally optimising decisioning across the enterprise.
• Collaborate with cross-functional teams to design and develop innovative solutions that enhance our operational efficiency.
• Keep abreast of the most recent industry developments and effective approaches in data science and operational research.
• Present findings and recommendations to senior management to drive informed decision-making.

About you

• Proven experience as a data scientist or operational researcher, with a strong track record of delivering successful projects.
• Proficiency in Python and SQL.
• Excellent analytical and problem-solving skills, with the ability to think critically and strategically.
• Excellent communication and presentation skills, with the ability to effectively explain complex ideas to both technical and non-technical individuals.
• Bachelor's or Master's degree in a numerical field, or equivalent experience.

This role is known internally as Senior Analyst - Data Science & Operational Research.

Be yourself - Our differences make us stronger

Our customers come from all walks of life and so do our colleagues. That's why we're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong.

To make your journey with us accessible and individual to you, we encourage you to let us know if you'd like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, (recruitment@fly.virgin.com) feeling confident that we've got your individual considerations covered.