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Data Scientist I
  • Python
  • SQL
  • Java
  • Big Data
  • Tableau
  • Matlab
  • Database
  • Data Mining
  • Data Visualization
British American Tobacco
Southampton
154 days ago

Country: United Kingdom
Location: Southampton
Function: Scientific Research & Development
Level: Experienced Professional
Appointment Type: Permanent

Job purpose


The explosion of digital technology is disrupting many industries and we cannot assume that BAT is immune to this trend. This role is based in a group called New Sciences; our aim is to explore the emerging frontiers of Science. The role will be to turn raw data into actionable insights. We are looking for an innovative individual with a natural inquisitiveness and great problem solving skills.


The New Sciences group are looking for a data scientist that will help us discover insights hidden within our datasets, and enable smarter data driven decisions to deliver even better products. Your role will be in applying data mining techniques, carrying out statistical analysis, and building high fidelity prediction systems for both scientific & commercial purposes.


Key Accountabilities


  • Derive, new valuable actionable insights from data and communicate effectively to stakeholders and decision makers
  • Solve problems in fundamental scientific research using data-driven insights
  • Develop proprietary algorithms, using data analytical methodologies
  • Develop studies to create the necessary training data, as and when required
  • Collect, organize and visualize large sets of structured and unstructured data
  • Analise, learn and interpret large amounts of data to discover solutions and opportunities to improving all aspects of our products and digital ecosystem
  • Establish data visualisation toolkit to enable clear communication of techniques used and insights yielded
  • Work with the wider team implement these findings into future analytical research tools, and consumer products
  • Participate in relevant cross R&D forums related to data science and big data

Skills and experience


  • Educated to bachelor’s degree (or higher) in a numerate discipline, such as mathematics, statistics, computer science, data science, or a related field with a significant statistics bias
  • Experience in programming in Python and the ability to write readable, efficient code
  • Experience of C or C++ or Java, Perl, Matlab, R is also beneficial
  • Experience of developing, testing of machine-learning models
  • Demonstrate experience of supervised learning, unsupervised learning is desirable
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Solid understanding of databases & SQL
  • Experience in data visualization tools – experience of PowerBi or Tableau beneficial
  • Clear communicator - able to concisely communicate complex issues & techniques deployed to both technical and non-technical audiences in an effective manner both verbally and in writing
  • Good business acumen

Note: at this moment, we are not looking to fill in this position, but kindly encourage you to apply and, the moment we start recruiting again, you'll be contacted as soon as possible.


British American Tobacco is one of the world’s leading multinational companies, with brands sold in over 200 markets, made in 44 factories in 42 countries.

We are proud that we are consistently among the top 5 companies on the London Stock Exchange.

Our portfolio includes our world-famous Global Drive Brands – Dunhill, Kent, Lucky Strike, Pall Mall and Rothmans – along with many other leading international brands, such as Vogue, Peter Stuyvesant and State Express 555.

Alongside our traditional tobacco business, we are also developing products that offer consumers potentially less risky alternatives to regular cigarettes. Our Next Generation Products are already leading the way in the Industry of vapour and tobacco heating devices. We continue to develop a solid portfolio of consumer solutions which already include well known global brands like Vype, glo and Voke.

Contractual Legal Entity: BAT (Investments) Limited (GBIN)

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