Senior Data Scientist

Sedgwick Claims Management Services Ltd; Tennessee; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Sedgwick, a leading risk and claims partner, seeks a Senior Data Scientist to identify, scope, and execute analytics projects, design data models, and share insights to inform decisions.

Build production ML models and end-to-end ETL pipelines, integrate data from multiple sources, and mentor teammates. The role emphasizes reproducible coding, clear communication, and measurable business impact in healthcare and financial services. Collaboration with cross-functional teams is essential.

Qualifications

• Master's degree or Ph.D. in statistics, mathematics, computer science, data science, economics, or related quantitative field.
• Ten (10) years of related experience including three (3) years of predictive modeling, data science and analytics with data wrangling and feature engineering.
• Experience with natural language processing and healthcare data preferred.

Responsibilities

• Build and deploy machine learning models in production.
• Collaborate with product and technology teams to scope data science projects.
• Communicate modeling results to technical and non-technical stakeholders.
• Design end-to-end ETL (extract, transform, load) pipelines integrating data from multiple data sources.
• Explore new data sources and assess their commercial value.
• Mentor teammates and serve as a subject matter expert in cross-functional discussions.

Skills

Python

R

Data Visualization

SQL

NLP

ETL

ML

Communication

Education

Master's degree or Ph.D. in a quantitative field

Tools

Python

R

SQL

Job description

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 Senior Data Scientist

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.

PRIMARY PURPOSE:

To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions.

ESSENTIAL FUNCTIONS and RESPONSIBILITIES

• Builds, prototypes, and deploys machine learning models in production environments.
• Collaborates with product, technology, and other stakeholders to identify and scope data science projects.
• Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders.
• Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources.
• Explores new internal and external data sources and assesses their commercial benefit.
• Mentors team members and serves as a subject matter expert in cross-functional discussions.

ADDITIONAL FUNCTIONS and RESPONSIBILITIES

• Performs other duties as assigned.
• Travels as required.

QUALIFICATIONS

Education & Licensing Master's degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.

Experience

• Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering.
• Experience with natural language processing and healthcare data preferred.

Skills & Knowledge

• Proficiency writing code in Python or R and documenting for reproducibility
• Strong knowledge of reviewing other's models and code
• Ability to use data visualization tools and libraries
• Strong data exploration, data wrangling and feature engineering skills
• Knowledge of application of supervised/unsupervised ML techniques
• Thorough knowledge of SQL to query relational databases
• Excellent oral and written communication skills, including presentation skills
• PC literate, including Microsoft Office products
• Analytical and interpretive skills
• Strong organizational skills
• Ability to create and complete comprehensive, accurate and constructive written reports
• Ability to work in a team environment
• Ability to meet or exceed Performance Competencies

WORK ENVIRONMENT

• When applicable and appropriate, consideration will be given to reasonable accommodations.
• Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines.
• Physical: Computer keyboarding, travel as required.
• Auditory/Visual: Hearing, vision and talking.

The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience.

Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com