Senior Data Scientist – Telematics

• Develop best-in-class machine learning models to predict claims outcomes, fraud, and other risk KPIs
• Develop novel features from raw telematics data
• Collaborate with ML Engineers to deploy machine learning models
• Monitor deployed models and link performance to commercial and customer outcomes
• Present work to Operational and Commercial stakeholders
• Explore new technologies and contribute to team best practices
• Turn telematics data into underwriting advantage and improve risk selection at quote and in-life stages
• Work within the Telematics Data Value team of data scientists, analysts, and engineers

Requirements

• Proficiency in Python
• Experience with machine learning libraries for building and deploying machine learning solutions in cloud environments
• Experience using SQL
• Ability to communicate and collaborate across teams of Data Scientists, Data Engineers, ML Engineers, Operational stakeholders, and Commercial stakeholders
• Technical competence complemented by broader business understanding
• Problem-solving ability for complex real-world challenges
• Ability to work independently and collaboratively
• Curiosity and willingness to challenge received wisdom and explore emerging techniques
• Thorough referencing process includes credit and criminal record checks

Core Competencies

Demonstrates expertise in developing and deploying machine learning models using Python and SQL, with a strong focus on telematics data to enhance risk assessment and underwriting processes. Capable of collaborating effectively with cross-functional teams and presenting insights to stakeholders.

Highest-signal resume keywords

• Python Proficiency
• Machine Learning Libraries
• SQL Experience
• Collaboration Across Teams
• Problem-Solving Ability

ATS Optimization Keywords

Hard Skills

• Machine Learning Model Development
• Telematics Data Analysis
• Model Monitoring
• Feature Engineering
• Cloud Deployment

Soft Skills

• Communication Skills
• Curiosity
• Independent Work
• Collaborative Work

Industry Keywords

• Claims Outcomes
• Fraud Detection
• Risk KPIs
• Underwriting Advantage
• Data Value Team

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