At a Glance
- Tasks: Build and deploy ML models to support underwriting and actuarial decisions.
- Company: Reinsurer with a focus on innovation and analytics.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on Agile methodologies.
- Why this job: Make a real impact in the insurance industry using cutting-edge machine learning.
- Qualifications: 3+ years in ML model development, strong Python, SQL, and Git skills.
The predicted salary is between 60000 - 80000 £ per year.
London - Hybrid, 2 days a week in office (Liverpool Street). A reinsurer is looking for a contract ML Engineer to join their Pricing and Analytics team in London. This is a hands-on, end-to-end role. You'll build and deploy ML models that directly support underwriting and actuarial decision-making - from sourcing data through to communicating results with the business.
- 3+ years of end-to-end ML model development & deployment
- Strong Python (ML packages), SQL and Git
- Confident communicating with non-technical stakeholders
- Familiarity with Agile methodologies
Machine Learning Engineer employer: DATAHEAD
Join a dynamic reinsurer in London that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. With a strong focus on employee growth, you'll have access to continuous learning opportunities and the chance to work on impactful projects that shape the future of underwriting and analytics. Experience a supportive culture where your contributions are recognised, and you can thrive in a vibrant city known for its diverse professional landscape.
