Associate Data Scientist
On-siteLondon, England, United Kingdom
Job Summary
Contribute to the build and improvement of Ki's machine learning models for risk assessment under the guidance of senior colleagues. Conduct exploratory analysis of internal and external datasets to identify opportunities to improve the algorithm, while supporting the monitoring and evaluation of live models to ensure safe production operations. Work closely with the Portfolio Underwriting team to understand the commercial context of technical work and communicate findings clearly to both technical and non-technical audiences. Participate actively in Ki's data science community to develop technical skills in line with the talent framework, adhering to model governance and documentation standards. Join the Algorithmic Underwriting team to help build and enhance the machine learning models that power the Ki platform's digital underwriting and portfolio management.
Required Qualifications
- Proficiency in Python and common machine learning frameworks such as scikit-learn
- Strong analytical capability to evaluate models and explore complex datasets
- Bachelor's degree or higher in a STEM field, or equivalent demonstrable practical experience
- Familiarity with cloud environments, particularly Google Cloud Platform (GCP)
- Exposure to SQL and software engineering practice (version control, testing)
- Interest in insurance or financial services
- Excellent communication skills, written and verbal, especially in sharing technical concepts with broader audiences
- Strong interpersonal skills, including teamwork, facilitation and planning
- Pro-active, self-motivated and able to use own initiative
- Excellent analytical and technical skills
- Picks up new technologies and business domains quickly
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