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Lead Data Scientist

Posted 4 days ago

  • Birmingham, West Midlands
  • Any
  • External
  • Expires In 3 months
Lead Data ScientistBirmingham £80,000 + BenefitsTHE COMPANYGreat opportunity to join a leading UK brand in their established Data Science & Analytics unit - a team devoted to utilising machine learning and advanced statistical techniques to produce valuable insights for the business.You will report into the Head of Data & Analytics and work closely with senior figures to advise and deliver on data science projects ranging from pricing to customer behaviour to profitability analysis. As a company they are investing significantly in the area of data science and machine learning and this person is the first step towards growing the team in 2024!This company operates on a UK-wide scale and has a customer database over 1 million (in the UK alone) and so there is the potential to see your work have a huge impact on a huge scale.THE ROLEAs the Lead Data Scientist, you will be:Helping to grow a brand-new data science capability in a well-known UK brandThis company have roles available across experimentation, customer insight and pricing analytics.Delivering impactful machine learning across several business units, communicating your work to a range of technical and non-technical audiencesCollaborating with other data scientists, data and software engineersExploring new ways for the company to make the most out of its data!SKILLS AND EXPERTISETo be considered for this position you must have the following:Hands-on experience with Python for machine learning/statistical techniques3-4 years experience in a commercial data science roleMasters degree qualification in a quantitative discipline (maths, computer science, statistics, machine learning etc.)Experience with SQLHOW TO APPLYTo be considered for this exciting opportunity, please submit your details using the Apply button on this page or reach out to ##### for more details. SALARYYou can earn up to £80,000 + benefits.KEYWORDSPython, SQL, Machine Learning, SQL, Modelling, Statistics, Data Scientist, Data Science, Big Data, Insight, Customer.
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