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Stanton House Logo Stanton House · IT - Software Development

Data Scientist

United Kingdom, London Employment contract 85000.00 - 90000.00 GBP / Year · Job Posted June 01, 2026
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Job Description

Stanton House is supporting a growing Software business with their first data hire. The business is currently looking to recruit a Data Scientist to work closely with the Customer Success team by handling product usage queries, SQL-based reporting, dashboards, and data infrastructure work. The role reports hard line to the CTO and day to day to the Head of Customer Success The position is permanent, based in London, and expected to work in the office 5 days a week.

Job Responsibility

  • Set up and maintain the data warehouse and related data infrastructure.
  • Build and maintain dashboards and data visualisations for Customer Success, leadership, and other commercial stakeholders.
  • Set up data pipelines and help establish a data warehouse, including connecting data from multiple sources that are not currently joined.
  • Own SQL across the company, including writing, maintaining, and updating queries for reporting and analysis needs.
  • Support some infrastructure and pipeline work with help from a backend engineer.
  • Work with customer success and possibly product managers to inform decisions based on usage data and the product roadmap.
  • Create analytics around feature adoption and engagement, including identifying which features drive retention and which are less used.

Requirements

  • Strong SQL and Python skills are required, with emphasis on fundamentals.
  • Experience with BI or dashboarding tools such as Metabase, Looker, Tableau, Retool, or similar.
  • Engineering experience with data warehouse setup and data pipeline work is important.
  • Experience with SaaS, software platforms, finance, or other environments with complex usage data is preferred but not required.
  • The person should be proactive, self-managing, and able to work semi-autonomously.
  • Strong communication skills, with the ability to explain data clearly to non-technical commercial stakeholders.

Nice to have

Experience with SaaS, software platforms, finance, or other environments with complex usage data

What we offer

  • equity
  • other benefits
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