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Customer Insight Data Scientist - FTSE 100 Retail

Location: London, England
Salary: car, pension, bonus, benefits
Posted: 24 days ago
Contract Type: Permanent
Industry: Data & Technology, Data Analytics & Quantitative
Contact Name: Damian Shaw
Contact Email: Damian.Shaw@ojassociates.com

Damian Shaw

Principal Consultant, UK, North

See more of Damian Shaw's jobs

Customer Insight Data Scientist - FTSE 100 Retail

Oliver James Associates are recruiting for a London-based Customer Insight Data Scientist within the FTSE 100 retail sector. The role is with a truly global organisation with an outstanding reputation, who are investing heavily in their data analytics capabilities.

The role pays up to c£95,000 basic salary exclusive of pension, bonus and flexible benefits.

Oliver James Associates are recruiting for a London-based Customer Insight Data Scientist within the FTSE 100 retail sector. The role is with a truly global organisation with an outstanding reputation, who are investing heavily in their data analytics capabilities.

The role pays up to c£95,000 basic salary exclusive of pension, bonus and flexible benefits.

Our client has experienced a double digit growth in the last five years and are forecasting for this continue, so now really is the time to be joining this organisation and team.

You'll be responsible for the execution and delivery of work of deep, advanced data analytics engagements which offer excellent levels insight, reach, security and intelligence to business stakeholders.

The role encompasses:-

  • Deriving and delivering tangible actions from insight.
  • This is produced through end-to-end delivery
  • Excellent stakeholder communication including visualisation (powerpoint as well as data visualisation - Qlikview, Power BI, Tableau, Spotfire etc.)
  • Mentorship - requiring patience, time and guidance.
  • Domain knowledge in Retail a must
  • Resilience and ability to juggle multiple deliveries at the same time as well as support Director with business development

Key experience in the below is essential:

  1. Coding - proven commercial coding skills.
  2. Machine learning - understands machine learning models; their uses, value and limitations.
  3. Problem solving - likes to solve problems and is good at it, thinks laterally and test hypotheses.
  4. Commercial - able to pick up commercial knowledge and has common sense, applies insight.
  5. Visualisation - good with data visualisation (in Tableau and Excel) and able to tell a story with PowerPoint

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