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Remote Data Scientist Internship Jobs in New Mexico

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

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Remote Data Scientist Internship information

See New Mexico salary details

$40.9K

$149.4K

$226.8K

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

As of May 28, 2026, the average yearly pay for remote data scientist internship in New Mexico is $149,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $153,400.00 per year, depending on experience, location, and employer.

What is a Remote Data Scientist Internship job?

A Remote Data Scientist Internship is a temporary, project-based position where interns work remotely to analyze data, build models, and derive insights using machine learning and statistical techniques. Interns collaborate with teams virtually, using tools like Python, R, and SQL to process and visualize data. These internships help students and professionals gain real-world experience in data science while improving their technical and analytical skills.

What are the key skills and qualifications needed to thrive in the Remote Data Scientist Internship position, and why are they important?

To thrive as a Remote Data Scientist Intern, you need a solid understanding of statistics, machine learning, and programming, often demonstrated through coursework or related projects in fields like data science, computer science, or engineering. Hands-on experience with tools such as Python or R, data visualization libraries, SQL databases, and platforms like Jupyter Notebook is highly valued, along with familiarity with cloud-based collaboration tools. Strong analytical thinking, initiative, clear communication, and the ability to work independently in a virtual environment are standout soft skills. These capabilities enable interns to effectively analyze complex data, share insights, and contribute meaningfully to team projects despite the remote setting.

What types of projects or tasks can I expect to work on during a Remote Data Scientist Internship?

As a Remote Data Scientist Intern, you may work on tasks like cleaning and analyzing datasets, building predictive models, visualizing data trends, and assisting with data-driven decision-making processes. You will likely collaborate with other data scientists and team members through virtual meetings, shared code repositories, and project management tools. Your daily responsibilities might include writing scripts to automate data analysis, preparing presentations, and contributing to ongoing research or product development initiatives. These experiences are designed to help you develop practical, industry-relevant skills and gain exposure to real-world data science challenges.
What are popular job titles related to Remote Data Scientist Internship jobs in New Mexico? For Remote Data Scientist Internship jobs in New Mexico, the most frequently searched job titles are:
What cities in New Mexico are hiring for Remote Data Scientist Internship jobs? Cities in New Mexico with the most Remote Data Scientist Internship job openings:
Principal Data Scientist

Principal Data Scientist

Sedgwick

Albuquerque, NM • On-site, Remote

Other

This job post has expired today. 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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