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Freelance Actuary Data Science Jobs (NOW HIRING)

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

The Actuary/Data Scientist will leverage strong analytical and coding skills to support data ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Jobtailor

Senior Actuary - Data Steward

California, MO · On-site

$90 - $130/hr

Bachelor's in Actuarial Science, Mathematics, Statistics, Computer Science, or related field. * Strong background in data management, governance, data architecture, or actuarial data processes.

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

The Actuarial Data Engineer will partner with actuarial, data science, and finance teams to deliver reliable and well-structured data solutions that support analytical workflows and business insights.

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Freelance Actuary Data Science information

What is a freelance actuary data scientist?

A Freelance Actuary Data Scientist is a professional who combines actuarial science and data science skills to analyze risk and make data-driven decisions, often working independently or on a contract basis for various clients. They use statistical modeling, programming, and machine learning to interpret complex data sets, primarily for insurance, finance, or consulting industries. By working freelance, they have the flexibility to choose projects and clients, and may provide services such as risk assessment, predictive modeling, and analytics solutions.

What are the key skills and qualifications needed to thrive as a freelance actuary data science professional?

To thrive as a Freelance Actuary Data Science professional, you need strong analytical skills, a solid background in statistics or actuarial science, and proficiency in programming, typically supported by a relevant degree or actuarial credentials. Expertise with statistical software (such as R, Python, or SAS), data visualization tools, and actuarial modeling platforms is crucial. Excellent problem-solving abilities, self-management, and clear client communication are standout soft skills in this role. These skills enable professionals to deliver accurate, actionable insights and manage diverse client projects effectively in a competitive freelance environment.

How do freelance actuary data scientists typically manage client expectations and project timelines?

Freelance actuary data scientists often work with clients who may not be familiar with complex statistical modeling or data analysis processes. Managing client expectations involves clear communication about project scope, deliverables, and realistic timelines from the outset. It's common to provide regular progress updates, set milestone reviews, and clarify technical findings in accessible language. Utilizing project management tools and maintaining transparency helps ensure both parties stay aligned and projects are delivered successfully.

What is the difference between Freelance Actuary Data Science vs Freelance Data Analyst?

AspectFreelance Actuary Data ScienceFreelance Data Analyst
Required CredentialsActuarial certifications, data science skillsData analysis skills, often no formal certification
Work EnvironmentFinancial, insurance, risk modelingBusiness, marketing, operations
Industry UsageInsurance, finance, consultingRetail, healthcare, tech
Search & Comparison IntentUnderstanding actuarial data science rolesComparing data analysis freelance opportunities

Freelance Actuary Data Science involves applying actuarial skills combined with data science techniques to assess risks and model financial outcomes, often within insurance and finance sectors. Freelance Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, actuary data science emphasizes risk modeling and certifications, whereas data analysis is broader and less certification-dependent.

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Freelance Actuary Data Science jobs near you
Infographic showing various Freelance Actuary Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Actuary/Data Scientist

Berkley

Greenwich, CT • On-site

Full-time

Re-posted 14 days ago

Job description

Company Details

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.

The Company is an equal employment opportunity employer.

Responsibilities

The Actuary/Data Scientist will leverage strong analytical and coding skills to support data pipelines and advanced modeling, emphasizing rigorous quantitative thinking, high quality code, and sound professional judgment. This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights.

Write production-quality code for data wrangling, modeling, and AI-assisted analytical workflows. Perform deep exploratory analysis to identify problems, trends, and drivers. Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models, focusing on analytical correctness and model integrity. Design and apply machine learning tools, including accessing large language models (LLMs) or building task-specific agents. Apply professional skepticism and alternate approaches to thoroughly validate results. Communicate results effectively to actuarial peers, management, and non-technical audiences. Understand the different data types and uses of data within an insurance organization. Provide support and guidance to others who are at earlier stages in their data science or AI journey.

Qualifications

Qualifications:

4-7 years of relevant actuarial, technical, or research experience. Strong programming skills, particularly in Python, including analytical and modeling libraries. Experience applying AI, machine learning, or LLM-based tools to solve real data or analytical problems (e.g., building agents, calling model APIs, or integrating AI into analytical workflows). Proficient in probability and statistics, with experience working with large and complex data flows and articulating project plans and conclusions. Proficient with SQL and cloud-based or distributed data environments (e.g., Snowflake, Databricks, or similar platforms).

Education Requirement

Master's degree in Data Science preferred. Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).

Additional RequirementsLocation and Travel: Primary location Greenwich, CT.Sponsorship DetailsSponsorship not Offered for this RoleEmployment Type: OTHER

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