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!
Job Summary
Are you looking for a role that will have an impact in the field of data and analytics? We are looking for someone like you to join the US & Bermuda Data & Analytics team at Markel.
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!
Job Description
The opportunity:
As part of the US & Bermuda Data & Analytics team, you will enable a specialty lines insurer to improve their portfolio performance and growth through analytics, reporting, and data driven insights. Our team is embedded within the lines of business that we support, helping to facilitate collaboration and meaningful partnerships.
The primary function of this position is to support statistical modeling, portfolio analytics, and reporting. You’ll put invaluable data tools into the hands of Markel decision makers, integrated directly into their systems and workflows. You’ll work with a team of innovative experts in their respective disciplines: Data Scientists, Software Engineers, Actuaries, Data Engineers, and Business Intelligence Analysts.
What you’ll be doing:
- Collaborate with business users, data scientists, engineers, and report analysts to translate requirements into scalable reporting and model solutions
- Support machine learning operations (ML Ops) by deploying, monitoring, and maintaining models in production
- Build and manage CI/CD pipelines for reporting, analytics, and ML workloads
- Participate in code review, design discussion, and sprint planning within an agile framework
- Collaborate with IT and Systems teams to integrate data solutions into underwriting systems and portals
- Monitor system performance, identify bottlenecks, and implement improvements for scalability and reliability
- Document processes, workflows, and best practices for transparency and knowledge sharing
- Partner with DevOps and IT to ensure security, compliance, and governance of data systems
- Stay current with emerging technologies and tools in data engineering, analytics, and ML Ops, recommending improvements when appropriate
Requirements / Must-Haves:
- Bachelor’s degree in computer science, engineering, Data Science, or related field (or equivalent work experience)
- Proven experience in ML Ops roles required
- Experience in data engineering, analytics engineering, or
- Experience with ML Ops tools and frameworks (MLflow, Azure ML, etc.)
- Demonstrated experience with model deployment and serving through endpoints (e.g., Azure ML endpoints, etc.)
- Solid programming experience (Python required, R also valuable)
- Hands-on experience with cloud platforms (Azure strongly preferred; AWS/GCP also valuable)
- Familiarity with data warehouses / lakehouses, (Databricks strongly preferred)
- Comfort with statistical methods, predictive modeling, or machine learning deployment
- Experience with CI/CD pipelines for analytics or ML deployments
- Understanding of data modeling, relational databases, and schema design for analytics/reporting
- Proficiency in SQL (query optimization, stored procedures, performance tuning)
- Knowledge of version control systems (e.g., Git) and collaborative development practices
- Knowledge of security, compliance, and access controls within data environments
- Ability to work in an agile, collaborative environment with cross-functional teams
- Strong analytical and problem-solving skills with the ability to troubleshoot complex issues
- Ability to communicate technical concepts clearly with non-technical stakeholders
Preferred Skills / Nice-to-Haves
- Exposure to reporting & visualization tools (Power BI, Tableau, Qlik, etc.)
- Insurance and/or finance industry knowledge
#LI-Hybrid #PIQ
US Work Authorization
US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future.
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
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.
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.
Are you ready to play your part?
Choose ‘Apply Now’ to fill out our short application, so that we can find out more about you.
Caution: Employment scams
Markel is aware of employment-related scams where scammers will impersonate recruiters by sending fake job offers to those actively seeking employment in order to steal personal information. Frequently, the scammer will reach out to individuals who have posted their resume online. These "job offers" include convincing offer letters and frequently ask for confidential personal information. Therefore, for your safety, please note that:
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, or 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.
Should you require any accommodation through the application process, please send an e-mail to the rarecruiting@markel.com.
No agencies please.
