Data Scientist

Overview

To deliver prescriptive analytics that adds value to the whole business. Use machine learning techniques to leverage benefit from our vast and diverse customer data within a supportive learning environment.

Key responsibilities

• Delivering data experimentation to optimise how we target and segment consumers for targeted offers and promotions
• Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling
• Build predictive models to support business decision making
• Build prescriptive tools (automated decisioning) with measurable commercial value – especially improving our marketing ROI
• Conduct proactive research to identify new ideas and opportunities
• Influence the business to adopt new tools and techniques
• Continually invest time for your own professional development, ensuring you keep up to date with industry advancements
• Contribute to the Screwfix Analytics and Insight community

Required skills & experience

• Excellent problem solver
• Good understanding of key analysis/modelling techniques
• Able to combine and manipulate large and complex data sources
• Comfortable using programming languages such as R or Python
• Strong communicator
• Can summarise complex information
• Has attention to detail and excellent numeracy skills
• Prioritise and organise effectively
• Work independently or within a team

Benefits

• 28 days’ holiday, increasing with each years’ service
• Award winning pension scheme – up to 14% Kingfisher contribution
• 20% discount with Screwfix and B&Q
• Discounted healthcare and life cover
• Loyalty recognition & company share save scheme
• Currently working flexibly from home
• In-house training and development

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If you require any additional support or adjustments to help you make an application, please contact us at careers@screwfix.com