Lead Actuarial Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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The Muse

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

👥 B2C

🎯 Recruiter

☁️ SaaS

B2C • Recruitment • SaaS

The Muse is an online platform that helps job seekers find work that aligns with their values, needs, and career aspirations. The company provides behind-the-scenes looks at company cultures, advice, coaching, and resources to explore job opportunities and apply with confidence. It focuses on matching candidates with employers based on cultural fit and shared values, offering insights into company environments to ensure applicants find the right workplace. The Muse caters to individuals seeking meaningful career paths and aims to facilitate better job matches for long-term satisfaction and success.

📋 Description

• Lead the end-to-end design, development, and implementation of new and innovative rating plans for personal auto and home insurance products. • Build and refine pricing models using GLMs, GBMs, and other ML techniques to sharpen risk segmentation and deliver competitive price accuracy. • Drive feature engineering efforts and identify, evaluate, and integrate external data sources to enhance model performance and predictive power. • Design and build efficient, scalable, and repeatable processes for model development, data pipelines, and rating plan deployment. • Own the technical documentation, validation, and peer review of rating plan changes to ensure accuracy and compliance. • Partner closely with Product, Data Science, Engineering, Underwriting, and other business and analytical teams to develop and implement changes. • Mentor and provide technical guidance to junior actuaries and data scientists, fostering a collaborative and high performance team culture.

🎯 Requirements

• Bachelor’s or Master’s degree in Actuarial Science, Mathematics, Statistics, Computer Science, or a related field; FCAS or ACAS designation a plus. • 8+ years of experience in actuarial, data science, ML/AI, or related technical roles. • 5+ years of experience within the P&C insurance industry. • Advanced proficiency with predictive modeling techniques, including GLMs, gradient boosting, and other machine learning methods. • Strong understanding of insurance rating, pricing, and product structures, particularly within Personal Lines. • Experienced in independently leading complex technical analyses. • Strong programming skills in Python and experience with Git. • Exposure and usage of AI-assisted coding.

🏖️ Benefits

• Opportunities to stretch and grow: your professional and personal development matters to us. • Clarity and kindness: you can rely on us to be open, honest and supportive, offering clarity on what success looks like. • Support in good times and bad: we believe in showing up for each other consistently, not only when it’s easy. • A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual.