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Data Scientist

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It’s about gathering, manipulating and analysing some of the largest retail customer datasets in the business.

It's a chance to be part of a true agile, multi-disciplinary engineering squad, where you'll collaborate with product and commercial teams to solve our industry's biggest problems. It’s about gathering, manipulating and analysing some of the largest retail customer datasets in the business. It involves developing advanced statistical models, and building machine learning algorithms. And your focus will be on transforming our data into powerful business insights that keep us pushing the boundaries of digital retail.


It involves developing advanced statistical models and building machine learning algorithms. And your focus will be on transforming our data into powerful business insights that keep us pushing the boundaries of digital retail.

In Speke: our data scientists sit in close proximity to your commercial stakeholders, it is a tight-knit machine and the atmosphere is very friendly, we have members who been with us nearly 20 years to 3 months new!


The recruitment process: Location-dependent, usually a phone interview with the talent team, followed by an informal phone interview with a senior member of the team (lead, manager, head of), then a take-home exercise (analysis on a dataset with questions), followed by a final interview with members of the team and a tour of the offices.


Requirements

You’ll need a PhD or MS in a quantitative field such as Sciences, Statistics or Computer Science, genuine proficiency in at least one scientific programming language and a willingness to learn others. Intellectually curious, practical, and ready to learn and discover, you’ll be the kind of person who instinctively knows when to or work with the results we’ve got or jump in for more analysis.


We have a current tool set of SAS and SQL, and have a trajectory to use Python and R.

Benefits

BENEFITS:

  • Annual Bonus
  • 27 days holiday + bank holidays + option to buy or sell an additional 5 days
  • Matching Pension up to 6%
  • Brand Discount up to 25%! Very.co.uk
  • Speke - onsite gym, Costa Coffee, on site cafeteria.

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