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Job Description

Cleo is seeking a highly skilled and motivated Marketing Machine Learning Engineer to join their team. Cleo is a fast-growing fintech company committed to improving people's financial well-being. The successful candidate will be instrumental in driving Cleo's growth through data-driven marketing strategies.

The Machine Learning Engineer will work closely with the Director of Performance Marketing and cross-functional teams to unlock insights into channel performance and optimize marketing strategies.

What this role involves:

  • Building and improving Cleo’s marketing measurement toolkit.
  • Developing predictive models for user lifetime value.
  • Creating automated tools for marketing budget allocation.
  • Designing and implementing marketing lift tests.
  • Analyzing brand marketing campaign performance.
  • Refining data processes and tooling.

Requirements:

  • 3+ years in Data Science, with a focus on Marketing Science or a related field.
  • Strong background in statistical analysis, including Marketing Mix Modelling and Predictive LTV modelling.
  • Excellent knowledge of both Data Science (Python, SQL) and production tools (Airflow).
  • Experience of shipping tested models which make predictions in batch or real time.
  • Proven ability to understand stakeholder problems and build models that get used for decision-making, including surfacing the results in tooling or dashboards.

What Cleo offers:

  • A competitive compensation package (base + equity) with bi-annual reviews.
  • A clear progression plan.
  • Flexibility in work arrangements.
  • 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days).
  • 6% employer-matched pension in the UK.
  • Private Medical Insurance via Vitality, dental cover, and life assurance.
  • Enhanced parental leave.
  • 1 month paid sabbatical after 4 years at Cleo.
  • Regular socials and activities, online and in-person.
  • We'll pay for your OpenAI subscription.
  • Online mental health support via Spill.
  • Workplace Nursery Scheme.
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