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Data Scientist / AI Engineer / Analytics Engineer

Job Description

  • Own analytics and AI solutions end-to-end: diagnose the root cause, build the solution, and follow it through to a business decision and measurable outcome.
  • Develop data and AI-powered solutions — predictive models, automated pipelines, intelligence layers — that drive real outcomes and reduce the need for manual intervention.
  • Build and maintain scalable, reliable data infrastructure, including robust data pipelines, foundational data models, and comprehensive data quality checks that the wider team can trust and build upon.
  • Build and optimize the analytics intelligence layer to ensure the automated, scheduled delivery of granular insights to the appropriate stakeholders.

Qualifications



  • 1+ years of applied experience working on analytics or data science projects
  • Advanced problem-solving capabilities, with a track record of navigating ambiguous questions to identify root causes rather than simply executing requested queries.
  • Strong Python and SQL, and solid data-management fundamentals.
  • Baseline AI fluency, including active use of LLMs for workflow optimization and hands-on experience building AI-powered operational workflows.
  • Intrinsically motivated problem solvers who demonstrate ownership and genuinely enjoy learning
  • The ability to work independently — you can take a problem, scope it, and run with it without being handed every step.

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