Data Scientist (REMOTE)

Sedgwick; Arizona; Remote; USD 80,000 - 100,000; Full time

Job summary

A leading insurance and financial services firm seeks a Data Scientist (REMOTE) to develop and manage predictive modeling assignments. Ideal candidates will have experience in data science, Python or R coding, and a strong background in analysis. This role offers opportunities for career development and a comprehensive benefits package.

Benefits

Career development opportunities

Medical, dental, and vision benefits

401k and PTO

Qualifications

• Minimum one year of predictive modeling and data analysis experience.
• Experience in data visualization tools and libraries.
• Knowledge of common unsupervised/supervised ML techniques.

Responsibilities

• Execute data science projects identified by stakeholders.
• Help build and deploy machine learning models.
• Produce reports to communicate metrics and outcomes.

Skills

Predictive modeling

Data analysis

Python

R

Data visualization

Job description

Overview

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

Data Scientist (REMOTE)

Data Scientist (Remote)

Primary purpose of the role

PRIMARY PURPOSE OF THE ROLE: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.

Ideal candidate

ARE YOU AN IDEAL CANDIDATE? We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic.

Essential responsibilities

• Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders
• Help to build, prototype, and deploy machine learning models in sandbox and production environments
• Produce reports to communicate metrics and outcomes of stakeholder interest
• Assist with developing and maintaining end-to-end ETL data pipelines
• Work to explore new internal data sources and their utility within projects
• Communicate modeling challenges, findings, and outcomes to stakeholders

Qualifications

• Insurance claims knowledge preferred
• Minimum one year of predictive modeling, data science, and analysis experience with solid background in using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
• Experience writing Python or R code, and notebook environments
• Knowledge of common unsupervised/supervised ML techniques

Taking care of you

• Career development and promotional growth opportunities.
• A diverse and comprehensive benefits offering including medical, dental, vision, 401k, PTO and more.

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.