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Remote Data Scientist Risk Jobs in Raleigh, NC (NOW HIRING)

Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Working closely with other data scientists and engineers to design, develop, and deploy AI ... Remote Client Industry: Risk- Legal and Professional Reference ID: About Korn Ferry Korn Ferry ...

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

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Data Scientist

Durham, NC · Remote

$51 - $58/hr

... Data Scientist to support environmental health and extreme weather research initiatives ... This is a long-term contract opportunity offering remote work flexibility. We are looking for ...

... allow for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

Decision Scientist

Raleigh, NC · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

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Remote Data Scientist Risk information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do remote data scientist risk jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data scientist risk in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Scientist Risk jobs in Raleigh, NC? The most popular types of Data Scientist Risk jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Scientist Risk jobs in Raleigh, NC? For Remote Data Scientist Risk jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Remote Data Scientist Risk jobs? Cities near Raleigh, NC with the most Remote Data Scientist Risk job openings:
Infographic showing various Remote Data Scientist Risk job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 80% Full Time, 8% Part Time, and 9% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.
Principal Data Scientist

Principal Data Scientist

Sedgwick

Raleigh, NC • On-site, Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Sedgwick rating

7.5

Company rating: 7.5 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

195th of 258 rated insurance


Job description

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

Principal Data Scientist

Job Responsibilities

  • Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.

  • Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.

  • Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.

  • Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.

  • Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.

  • Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.

  • Establish best practices for model development, experimentation, validation, and reproducibility.

  • Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies.

  • Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact.

  • Monitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies.

  • Provide technical guidance to data scientists and analysts across the organization.

  • Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor.

  • Translate complex analytical findings into clear, actionable insights for business leaders and operational teams.

  • Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.

  • Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities.

  • Ensure analytical methodologies align with enterprise governance standards and regulatory expectations.

  • Contribute to Sedgwick’s broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.

  • Lead research and innovation initiatives that advance Sedgwick’s predictive analytics capabilities.

Qualifications

  • Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline.

  • 8–12+ years of experience in data science, statistical modeling, or advanced analytics roles.

  • Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.

  • Strong programming skills in Python, R, or similar analytical languages.

  • Extensive experience working with large, complex datasets in enterprise environments.

  • Proven experience designing and implementing end-to-end modeling pipelines.

  • Strong understanding of model validation, feature engineering, and performance evaluation techniques.

  • Experience collaborating with engineering teams to deploy models into production systems.

  • Familiarity with distributed data processing tools and modern data platforms preferred.

  • Experience in insurance, claims management, healthcare, or financial services analytics preferred.

  • Ability to communicate advanced analytical concepts to both technical and non-technical stakeholders.

  • Demonstrated ability to lead complex analytical initiatives that drive measurable business value.

  • Strong mentoring and technical leadership capabilities.

#LI-TS1 #remote

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.

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


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