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Job Description
RAPP is seeking a Junior Machine Learning Engineer to join their team in London. This is a hybrid role, requiring 3 days in the office and 2 days remote. The ideal candidate will have a strong foundation in statistical modeling, programming, and business problem-solving. They should be eager to learn, solve real-world problems, and make an impact.
What this role involves:
  • Supporting the development of predictive models and data-driven solutions.
  • Conducting exploratory data analysis, feature engineering, and data cleaning.
  • Writing clean, well-documented Python and SQL code.
  • Collaborating with other data scientists and analysts.
  • Communicating findings clearly to internal stakeholders.
  • Learning quickly and continuously.
Requirements:
  • A strong foundation in statistics, probability, and machine learning fundamentals.
  • Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent.
  • Demonstrated ability to solve real-world problems pragmatically using data.
  • Clear, structured communication skills.
  • A growth mindset.
  • Business acumen and commercial awareness.
What this role offers:
  • Work on real projects, build models, and contribute ideas.
  • Mentorship from a senior, highly experienced team.
  • Opportunity to accelerate career in data science within a global creative agency.
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