Are you a self-starter with strong problem-solving skills? Then this could be the role for you.

Office is based in Horley but must have the ability to work from home.

Apply now


About the team

The Data Science team is an exciting new team in Stark and their mission is to:

• Establish Stark as the market leader in delivering insights for energy consumers using data science, machine learning and AI
• To lead Stark’s development of next-generation, data-driven services, capitalising on Stark’s unique access to data
• To ensure Stark’s technology platform evolves to deliver the most impactful analysis possible for businesses large and small
• Help ensure current analytical output is delivered to consumers in the most compelling and most efficient way

Personal attributes required

  • Strong problem-solving and analytic abilities
  • Keep up to data with the latest technologies
  • Self-starter
  • Bias for action and “get it done” attitude

Experience required

  • Experience with developing technical solutions to improve access to data and data usage
  • Understanding of company data needs and advise company on technological resources
  • Develop reports, dashboards, and tools for business users
  • Experience with extract-transform-load ETL pipelines
  • Experience working closely with Data Science concepts and requirements is a benefit

Minimum academic and/or professional qualifications required

  • GSCE (or equivalent) Maths and English grade A-C, A levels and degree desirable
  • Python, C#, Java or equivalent programming language
  • SQL, Hadoop and similar database technologies

We comply with the data protection principles when gathering and using personal information, as set out in our Data Protection Policy. Click the link below to read our privacy policy.

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Apply for role

Please send us your CV and covering letter with sufficient information to explain why you feel you are suitable for the role. Please be aware that, due to the high volume of applications received, it is not always possible to reply to all.

  • Accepted file types: pdf.
    Please provide this as a pdf file.
  • Accepted file types: pdf.
    Please provide this as a pdf file.