Junior Software Engineer
Role Summary
Join Prima as a Junior Software Engineer in London, contributing to innovative motor insurance solutions with a focus on data and tech.
About the Organisation
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.
🤸 Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
🏁 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.
🌈 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Think you’re a match? Apply now.
At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.
Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at ----- Let’s build the future of insurance, together.
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Key Responsibilities
- Contribute to the development of Prima’s core systems, whether building ML-driven services, designing scalable data pipelines, or creating reliable microservices;
- Help design and maintain data pipelines that allow teams to ingest, transform, and serve high quality data efficiently;
- Participate in the full engineering lifecycle: from exploring data and developing models to deploying services and monitoring them in production;
- Learn continuously by experimenting, reading, and sharing ideas with teammates to stay current with new technologies.
Minimum Requirements
- Ability to break down problems, learn quickly, and test different approaches;
- Programming foundations (language is not important. We value clean, maintainable code above all);
- Curiosity for data, software, and ML — whether from coursework, projects, or personal initiatives;
- Interest in building systems end-to-end: from ingesting and transforming data, to creating models, to deploying services;
- Motivation and eagerness to learn from more experienced teammates.
- Participation in hackathons, open-source contributions, or side projects;
- Knowledge of Python and its main ML packages (pandas, scikit-learn, mlflow,...);
- Experience with data pipelines or distributed data systems (e.g., Spark, Airflow).
Eligibility Criteria
The employer has not specified clear eligibility requirements for international applicants.
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