Senior Data Scientist

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Virgin Atlantic

Crawley, United Kingdom

Application Deadline

In this exciting role here at Virgin Atlantic (VAL) you'll design, deploy and oversee the key algorithms and models that will drive optimal decisioning within VAL - through domain, statistical and data expertise, use of relevant technologies and efficient automation processes. Working within the Operational Research team you will support the delivery of optimization projects as well as proactively identifying further optimization opportunities across the organisation. Through the evaluation of historical data, near real time computation on live and simulated data, and consideration of the business context of models and outputs, this role will enable best action by our front and back office members to accelerate and enrich VAL’s objectives.

  • Provide insight to the business through the creation and delivery of detailed and repeatable interactive analytical tools and deployable models
  • Design, deployment and continuous improvement of approaches to determine trading metrics, incrementality measurement, forward projection and entity valuation/scoring
  • Identify appropriate models given data of variable quality, size and completeness to enable effective decisioning by Managers and their teams
  • Provide key insight and analysis along with advice on new avenues of investigation
  • Evaluate statistical approaches of internal analytics driven projects, external vendor models and procured software when needed
  • Acts as an authority on statistical significance testing of initiatives and scenario modelling for cross-directorate Managers
  • Owns the design, development and movement to production/BAU of multiple analytical tools and models
  • Design and implements deep analysis of VAL and wider market movements through automated machine learning techniques
  • Identify, design and own assigned projects for initiatives including planning, research and implementation to deliver to successful conclusion
  • Identify new project opportunities with and for cross directorate Managers

About you

Do you have a strong statistical/analytical background with either a masters/post grad in STEM subject? Then this could be the role for youAlongside the above we're looking for the following to be successful in your application:

  • An expert in Python and proficient in at least one of R/SQL/other scripting
  • A strong understanding of distributed computing and the use of cloud technologies
  • Proven experience in defining commercial or operational problems and applying data driven/statistically minded solutions
  • Proven experience of presenting outputs and building tools for stakeholders to utilise ML models

If this sounds like you and you want to be at the forefront in ensuring Virgin become the most loved travel company, then we want to hear from you.

Be yourself - Our differences make us stronger

Virgin Atlantic are committed equal opportunities employers and positively encourage applications from suitably qualified and eligible applicants regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy and maternity. Diversity brings strength which is why we strive to provide an inclusive environment where individuality is celebrated, and we can ignite the potential of our forward-thinking mix of people.

Please be aware as part of our recruitment process we may look to use a variety of resourcing tools to help us understand your skills and experience in relation to the role you have applied for. These may include application questions, video interviews or online testing. Please feel free to contact us at if there are any reasonable adjustments to our process that you would like us to consider, for example use of hearing loops, sign language interpreter etc. Please don’t hesitate to reach out if there are any issues preventing you from being at your best during your application or assessment process. Any issues raised after your assessment is completed or once a decision has been made will be too late for us to consider within our process.

You'll be assessed against our values for a selection of your interview process, learn more about them here: Our Values


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