Senior Analytics Engineer at Simply Business designing data models and building infrastructure for AI and ML enhancement. Collaborating with engineering and product teams to integrate new data sources.
About the role
- Underwriting Product Engineer building analytical applications for data-driven decision making at Swiss Re. Collaborating with underwriters and AI/ML engineers to transform complex data into insights.
Responsibilities
- Engineer and develop high-performance analytical applications, dashboards, and components that serve underwriters and steering teams
- Write clean, efficient code that supports real-time, high-trust insight delivery across our organization
- Implement robust standards for version control, testing, and documentation for all work products
- Collaborate closely with product managers to translate business requirements into working features
- Partner with AI/ML engineers and data architects to ensure infrastructure compatibility and downstream usability
- Align with the Stargate data platform and adhere to shared development patterns
- Support testing and monitoring of deployed tools to ensure reliability and performance
- Document code and logic clearly to ensure auditability and team-wide understanding
- Participate actively in code reviews, design discussions, and architectural evolution of the analytics stack
Requirements
- Master's degree in Computer Science, Data Science, or other rigorous technical discipline
- 5+ years of experience building data-driven applications, dashboards, or analytical tooling
- Proficiency in programming languages such as Python, SQL, JavaScript, TypeScript, or R
- Experience with frontend frameworks (e.g., React, Plotly, Dash)
- Strong understanding of software engineering principles including version control (Git), modularity, and testing
- Familiarity with cloud platforms (e.g., Azure, GCP, Snowflake, or Palantir)
- Experience working with large datasets and integrating with data pipelines
- Knowledge of insurance or financial services industry
- Experience in agile development environments
- Background in data visualization best practices
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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