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Sedgwick Claims Management Services

Claims management and risk solutions provider

ML Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeIowa, USA$175k - $220k

About the Job

Requirements

  • A master's degree or Ph.D. with a major in statistics, mathematics, computer science, data science, economics, or a related quantitative field is preferred.
  • Ten years of related experience or an equivalent combination of education and experience, including three years of predictive modeling, data science, and analysis experience, is required.
  • A solid background in using data visualization tools and libraries, data exploration, data wrangling, and feature engineering is required.
  • Proficiency writing code in Python or R and documenting code for reproducibility is required.
  • Knowledge of reviewing other people’s models and code is required.
  • Ability to use data visualization tools and libraries is required.
  • Strong data exploration, data wrangling, and feature engineering skills are required.
  • Knowledge of supervised and unsupervised machine learning techniques is required.
  • Thorough knowledge of SQL to query relational databases is required.
  • Excellent oral and written communication, including presentation skills, is required.
  • PC literacy, including Microsoft Office products, is required.
  • Analytical and interpretive skills are required.
  • Strong organizational skills are required.
  • Ability to create and complete comprehensive, accurate, and constructive written reports is required.
  • Ability to work in a team environment is required.
  • Ability to meet or exceed performance competencies is required.
  • Ability to think clearly and conceptually, exercise judgment and discretion, troubleshoot, solve problems, analyze information, handle work-related stress and multiple priorities, and meet deadlines is required.
  • Ability to perform computer keyboarding and travel as required is required.

Responsibilities

  • Build, prototype, and deploy machine learning models in production environments.
  • Collaborate with product, technology, and other stakeholders to identify and scope data science projects.
  • Communicate modeling challenges, findings, and outcomes to technical and non-technical stakeholders.
  • Design and implement end-to-end extract, transform, and load data pipelines that integrate data from multiple sources.
  • Explore new internal and external data sources and assess their commercial benefit.
  • Mentor team members and serve as a subject matter expert in cross-functional discussions.
  • Perform other duties as assigned.

Desired Qualifications

  • Experience with natural language processing and healthcare data is preferred.

About the Company

Sedgwick Claims Management Services

Claims management and risk solutions provider

Sedgwick manages claims and risk for insurers, corporations, and public entities. Its services cover the full claims lifecycle, including clinical case management, networks, and cost-containment programs, plus specialized work like home inspections and property appraisals. The company operates by charging fees for these managed services that coordinate medical care, assess losses, and support timely resolution. Sedgwick differentiates itself through its integrated, end-to-end approach to claims management and its strong emphasis on caring for people, DEI, and client outcomes. Its goal is to help clients resolve claims efficiently, restore property and brands, and reduce costs through targeted resources deployed at the right time to improve outcomes.

Company size
10,001+
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.5B
Headquarters
Memphis, TN
Founded
1969

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