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.