AI Automation Intern

Markel Group; Los Angeles (CA); On-site; USD 33,000 - 39,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Life, disability, and AD&D insurance

401(k) with employer match

Employee Stock Purchase Plan

Paid time off and holidays

Parental leave

Job summary

Markel Group in Los Angeles is seeking a candidate to build and improve AI-assisted underwriting tools and data workflows. You will connect systems via APIs, write Python scripts to process data, and develop Power Automate flows to triage email and review documents.

You'll join a team learning specialty insurance, gaining exposure to Databricks and Copilot Studio while collaborating with underwriters and business leaders to deliver real value.

Qualifications

• Bachelor's degree or expected graduation by December 2026.
• Programming experience in Python or JavaScript demonstrated via coursework, internship or projects.
• Basic understanding of web APIs: HTTP, JSON, authentication.
• Strong Excel skills with lookups, pivot tables and formulas.
• Clear written communication; able to explain technical work to non-coders.
• Curiosity about AI and habit of verifying results.
• Good judgment with data; handling customer/broker information with care.
• Business acumen.

Responsibilities

• Build and improve proof-of-concept tools, including browser-based workbenches used by underwriters to read submissions, price risks and produce quotes.
• Connect systems through APIs: sign-in, tokens, data mapping and graceful error handling.
• Write Python scripts to convert spreadsheets, PDFs and Word docs into clean data and back into documents.
• Build and maintain Power Automate flows, SharePoint lists and Copilot Studio agents to triage email, review documents and send reminders.
• Leverage large language models: write prompts and extraction schemas, and create test sets to validate output and cost.
• Test before deployment with automated browser checks, unit tests and side-by-side data comparisons.
• Deploy tools on our cloud data platform, Databricks, while managing access, secrets and costs.
• Create setup notes, runbooks, user guides and change logs for maintainability.
• Join meetings with underwriters and business leaders to capture requirements and confirm acceptance criteria.

Skills

Python

JavaScript

APIs

Excel

Clear writing

AI curiosity

Data handling

Business sense

Education

Bachelor's degree or expected graduation by December 2026

Job description

What part will you play? If you're looking for a place where you can make a meaningful difference, you've found it.

The work we do at Markel gives people the confidence to move forward and seize opportunities, and you'll find your fit amongst our global community of optimists and problem-solvers. We're always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs.

Join us and play your part in something special!

Underwriters, claims handlers and operations teams at Markel spend hours on work a computer can do well: reading broker emails, keying the same data into two systems, checking documents against rules and rebuilding quote letters by hand. We build working tools that take that work off their plate - AI-assisted underwriting workbenches, automated email flows and links between the systems people already use.

We move quickly and we build for real people. A typical project goes from a conversation with a business leader to a working proof of concept in days. Then we test it, harden it and hand it over. You'll join as the second person on this work, so you'll learn fast and see your work in use early. Along the way you'll learn how specialty insurance runs and how to put AI to work safely inside a regulated business.

What you'll do

• Build and improve proof-of-concept tools, including browser-based workbenches that underwriters use to read submissions, price risks and produce quotes.
• Connect systems through APIs: send requests, handle sign-in and tokens, map the data that comes back and deal with errors gracefully.
• Write Python scripts that turn spreadsheets, PDFs and Word documents into clean data—and turn data back into finished documents.
• Build and maintain Power Automate flows, SharePoint lists and Copilot Studio agents that triage email, review documents and send reminders.
• Put large language models to work: write the prompts and extraction schemas, then build test sets that show whether the AI got it right and what it cost.
• Test before anyone relies on your work, using automated browser checks, unit tests and side-by-side checks against the source data.
• Deploy tools on our cloud data platform, Databricks, while keeping access, secrets and cost under control.
• Write the documentation that lets someone else pick up a project: setup notes, runbooks, user guides and change logs.
• Join meetings with underwriters and business leaders, capture what they need and turn it into clear requirements.

What you'll bring

• A bachelor's degree or anticipated graduation by December 2026
• Working skill in at least one programming language, ideally Python or JavaScript, shown through coursework, an internship or your own projects.
• A basic understanding of how web APIs work, including HTTP requests, JSON and authentication.
• Strong Excel skills (lookups, pivot tables, formulas) and comfort working with large data sets.
• Clear writing. You can explain what you built and why to someone who doesn't code.
• Curiosity about AI, plus the habit of checking an answer instead of trusting it.
• Good judgment with data. You'll handle customer and broker information, so you ask before you share or send
• Business acumen

US Work Authorization

US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future.

Pay information:

The base salary offered for the successful candidate will be based on compensable factors such as job-relevant education, job-relevant experience, training, demonstrated competencies, geographic location, and other factors. The salary range for the position is $24-$28.50/hr.

Who we are:

Markel Group (NYSE - MKL) a fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory and investment operations around the world.

We're all about people | We win together | We strive for better

We enjoy the everyday | We think further

What's in it for you:

In keeping with the values of the Markel Style, we strive to support our employees in living their lives to the fullest at home and at work.

• We offer competitive benefit programs that help meet our diverse and changing environment as well as support our employees’ needs at all stages of life.
• All full-time employees have the option to select from multiple health, dental and vision insurance plan options and optional life, disability, and AD&D insurance.
• We also offer a 401(k) with employer match contributions, an Employee Stock Purchase Plan, PTO, corporate holidays and floating holidays, parental leave.

Markel is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of any protected characteristic. This includes race; color; sex; religion; creed; national origin or place of birth; ancestry; age; disability; affectional or sexual orientation; gender expression or identity; genetic information, sickle cell trait, or atypical hereditary cellular or blood trait; refusal to submit to genetic tests or make genetic test results available; medical condition; citizenship status; pregnancy, childbirth, or related medical conditions; marital status, civil union status, domestic partnership status, familial status, and family responsibilities; military or veteran status, including unfavorable discharge from military service; personal appearance, height, or weight; matriculation or political affiliation; expunged juvenile records; arrest and court records where prohibited by applicable law; status as a victim of domestic or sexual violence; public assistance status; order of protection status; status as a smoker or nonsmoker; membership or activity in local commissions; the use or nonuse of lawful products off employer premises during non-work hours; declining to attend meetings or participate in communications about religious or political matters; or any other classification protected by applicable law.