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Remote Actuarial Science Internship Jobs in Raleigh, NC

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Remote Actuarial Science Internship information

See Raleigh, NC salary details

$13

$23

$63

How much do remote actuarial science internship jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for remote actuarial science internship in Raleigh, NC is $23.60, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.76 per hour, depending on experience, location, and employer.

What is a Remote Actuarial Science Internship?

A Remote Actuarial Science Internship is a temporary, often paid, work experience that allows students or recent graduates to gain practical knowledge in actuarial science while working from a remote location. Interns typically assist professional actuaries with data analysis, risk assessment, and financial modeling tasks using specialized software. These internships provide valuable exposure to real-world actuarial work, often in industries like insurance, finance, or consulting, while allowing for flexible work arrangements. Remote internships help interns build technical and communication skills, network with professionals, and explore potential career paths in the actuarial field.

What is the difference between Remote Actuarial Science Internship vs Remote Actuarial Analyst?

AspectRemote Actuarial Science InternshipRemote Actuarial Analyst
CredentialsTypically pursuing actuarial exams, student statusUsually holds or is close to obtaining actuarial credentials
Work EnvironmentInternship programs, learning-focused, entry-levelFull-time, professional setting, more responsibility
Employer & IndustryInsurance companies, consulting firms, financial servicesInsurance firms, consulting, pension funds

Remote Actuarial Science Internships are designed for students gaining experience and working towards actuarial credentials, often with limited responsibilities. In contrast, Remote Actuarial Analysts are more experienced, holding or nearing professional certification, and handle complex analysis and decision-making tasks. Both roles are common in the insurance and financial industries, but they differ mainly in experience level and job responsibilities.

What are the key skills and qualifications needed to thrive as a Remote Actuarial Science Intern, and why are they important?

To thrive as a Remote Actuarial Science Intern, you need strong mathematical, statistical, and analytical skills, often supported by progress toward an actuarial degree and passing preliminary actuarial exams. Familiarity with actuarial software, Excel, programming languages like Python or R, and data analysis tools is typically required. Exceptional problem-solving abilities, attention to detail, and effective written and verbal communication are vital soft skills in this role. These competencies enable interns to accurately analyze risk, produce reliable models, and contribute effectively to remote teams.

What are some common challenges faced during a remote actuarial science internship, and how can I overcome them?

Remote actuarial science internships often require interns to manage their time efficiently and communicate proactively, as you won't have in-person supervision. Interns may find it challenging to ask questions or gain clarity on complex actuarial concepts without face-to-face interactions. To overcome these challenges, schedule regular check-ins with your supervisor, utilize collaboration tools effectively, and actively participate in virtual team meetings. Additionally, make use of online actuarial communities and resources to supplement your learning and stay connected.
Infographic showing various Remote Actuarial Science Internship job openings in Raleigh, NC as of June 2026, with employment types broken down into 10% Full Time, and 90% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $49,096 per year, or $23.6 per hour.

Manager, Data Engineer (Remote)

Archgroup

Raleigh, NC โ€ข Remote

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.

You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.

Responsibilities

  • Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities anddeliverdata-related goals.

  • Design clear, analytics-ready data structures byanticipatingdownstream analytical needs.

  • Evaluate and adoptnew technologiesand data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery whilemaintainingappropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills

Data Engineering

  • Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Sparkproficiency(PySparkpreferred) and experience with distributed data processing, including building scalable pipelines andoptimizingperformance for large-scale datasets

  • Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness

  • Insurance data modelingforanalytics and actuarial-ready data structures

  • MLOpsfamiliarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership &Operating Model

  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills

  • 6+years' experienceofhands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience

  • Hands-on Databricks experience highly preferred

Education

  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$100,500 - $174,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC