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Data Scientist - Job Opportunity at Sun Life Financial

Wellesley Hills, United States
Full-time
Mid-level
Posted: February 3, 2025
Remote
USD 82,500-123,700 per year

Benefits

Enhanced 401(k) with employer match and additional retirement funding
Comprehensive health insurance package
Industry-leading parental and adoption leave
Innovative sabbatical program for career development
AD&D insurance coverage
Flexible work arrangements across 48 states
Wellness programs covering mental, physical, and financial wellbeing

Key Responsibilities

Develop and maintain advanced predictive models and AI solutions for risk assessment and business optimization
Perform complex data analysis across structured and unstructured datasets to drive business insights
Support technical innovation in modeling techniques and procedures
Lead data-driven decision making processes for pricing and underwriting
Collaborate with Distribution, Client Management and Sales Enablement teams
Implement machine learning solutions to streamline business processes

Requirements

Education

BS/MS in statistical, mathematical, or technical field

Experience

2+ years

Required Skills

Python R SQL Machine learning Data science fundamentals Statistical modeling Data visualization Information Retrieval NLP Generative AI Business acumen Communication skills
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Sauge AI Market Intelligence

Industry Trends

Insurance sector is rapidly adopting AI and ML for risk assessment and process automation Growing emphasis on predictive analytics in healthcare insurance pricing and underwriting Increasing demand for NLP and generative AI capabilities in insurance tech

Salary Evaluation

The offered range is competitive for a mid-level data scientist in the insurance sector, though slightly below tech industry averages. Top performers could expect to reach upper range within 2-3 years.

Role Significance

Likely part of a 5-8 person analytics team within larger business intelligence organization
Mid-level individual contributor with potential for technical leadership growth

Key Projects

Risk assessment model development Process automation initiatives Pricing optimization systems Underwriting efficiency improvements

Success Factors

Strong foundation in insurance domain knowledge combined with technical expertise Ability to translate complex technical concepts for business stakeholders Experience with healthcare data and regulatory requirements Proven track record in implementing production-grade ML solutions

Market Demand

High demand with steady growth projected. Insurance industry digital transformation initiatives are creating sustained demand for data science talent.

Important Skills

Critical Skills

Machine learning expertise for risk assessment models Healthcare data analysis experience Strong communication skills for stakeholder management Production-level coding abilities in Python/R

Beneficial Skills

Cloud platform experience Actuarial knowledge Healthcare regulation familiarity Visualization tool expertise

Unique Aspects

Combination of insurance domain expertise with advanced analytics
Focus on healthcare and risk solutions provides unique data science challenges
Strong emphasis on work flexibility and employee development

Career Growth

2-3 years in role before advancement, depending on project impact and leadership development

Potential Next Roles

Senior Data Scientist Lead Data Scientist Analytics Manager Machine Learning Engineering Lead

Company Overview

Sun Life Financial

Sun Life Financial is a major player in the group insurance benefits sector with strong market presence in North America

Leading provider in group insurance benefits with significant investment in digital transformation
Strong presence in US market with established remote work culture
Progressive work environment emphasizing diversity, flexibility, and work-life balance
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