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Analytics and Data Science Graduate Apprenticeship

Employer
TUI UK LIMITED
Location
Wigmore House, Wigmore Lane, Luton, LU2 9TN
Salary
£28,750.00 annually
Closing date
7 Dec 2022

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Specialism
Other
Sector
Unspecified
Role Type
Apprenticeship, Degree
Start Date
September
Duration
Permanent
What will the apprentice be doing?
  • Work directly with stakeholders from across the business, getting to the heart of a problem and providing workable business solutions
  • Provide analysis that truly addresses the underlying problem, ensuring solutions are implemented with the impact being tracked and results measured
  • Gain experience in managing and explaining complex analysis to a variety of stakeholders
  • Use a range of modelling and analytical techniques, supported by the appropriate software, either answer key business questions or deliver decision-making applications which ensure that decisions are made on a consistent and scientific basis
  • Thrive in an environment where you can learn from senior colleagues with experience in a wide range of industries, as well as learn about new technologies

What training will the apprentice take and what qualification will the apprentice get at the end?

As well as the varied exposure and experience you'll get during the scheme, you'll also be given the opportunity to continue your studies by studying part-time for your Level 7 Data Scientistapprenticeship - fully funded by us.

If you choose to do this, the first two years of the apprenticeship will be completed alongside the graduate programme, while the final year will be completed alongside your permanent role. You'll have the opportunity to express your interest in this during the recruitment process.

What is the expected career progression after this apprenticeship?

During our two-year programme, you'll gain experience within one of our four Analytics & Data Science teams. At the end of the two years, we'll aim for you be ready to take the next step in your career within the teams. The four analytics areas we have are:
  • Digital Analytics- where we use web behavioural data to optimise the use of our web and mobile sites
  • Commercial Analytics- using demand forecasts and profitability data to optimise price and capacity management
  • Customer Analytics- focusing on using our rich customer data to truly personalise the customer experience
  • Aviation Analytics - working closely with our operational teams to drive the use of data science in all stages of the aviation journey, from optimising the routes of our planes to forecasting the food we should pack on board


Requirements and prospects

Desired skills and personal qualities

Communication skills, IT skills, Attention to detail, Organisation skills, Problem solving skills, Administrative skills, Number skills, Analytical skills, Logical, Team working, Python skills

Qualifications

GCSE or equivalent English (Grade C and/ or 4 and above) Essential
GCSE or equivalent Maths (Grade C and/ or 4 and above) Essential
Other STEM Degree (Grade 2.1) Essential

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