Intern - Data and Analytics at Brookfield… · New York…

Company

Shared Services

Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence.

Job Description

Business Title(s): Data Scientist Intern 

Employment Type: Full Time/ Temporary 

FLSA Status: Non-Exempt 

Location: In-Office 

 

Summary:  

We are seeking a curious and technically motivated Data Scientist Intern to join Argo’s Data Science & Analytics team within Brookfield’s Property & Casualty insurance environment. This internship provides hands-on experience applying machine learning and advanced analytics to real-world underwriting, claims, and risk management challenges. 
 

As an intern, you will work on structured and unstructured insurance data, contribute to exploratory modeling initiatives, and support experimentation efforts involving predictive modeling and emerging AI technologies, including large language models (LLMs). This role offers a unique opportunity to develop both technical depth and business acumen in a collaborative, production-oriented setting. 

 

Employees in this role are required to accurately record all hours worked and submit timesheets in accordance with company policy. Overtime may be assigned as business needs dictate, and employees are expected to work overtime when required. 

 

This is a 100% in-office position. Candidates must be able to work on-site at a designated company office during standard business hours. 
 

Essential  Responsibilities: 

• Support the development and testing of predictive models to assist underwriting, claims triage, pricing analytics, or fraud detection initiatives 

• Assist in exploratory machine learning projects, including exposure to text analytics and document classification use cases (e.g., submission intake, claims notes, policy documents) 

• Contribute to experimentation efforts involving LLM-powered workflows under guidance from senior team members 

• Help prepare, clean, and structure large datasets for modeling and analysis using SQL and Python 

• Participate in model validation, performance tracking, and documentation of assumptions and results 

• Assist with prototype development and proof-of-concept solutions, learning how models transition from experimentation to practical application 

• Collaborate with cross-functional partners (underwriting, actuarial, claims, IT) to understand business problems and translate them into analytical approaches 

• Support work within cloud-based environments such as AWS, gaining exposure to scalable data workflows 
   

Qualifications / Experience Required: 

•  Pursuing a bachelor’s or master’s degree in data science, computer science, statistics, mathematics, engineering, or a related quantitative field 

• Strong interest in machine learning and applied AI 

• Foundational experience with Python or similar programming language 

• Familiarity with basic machine learning concepts (regression, classification, model evaluation) 

• Exposure to cloud platforms (e.g., AWS) or willingness to learn 

• Intellectual curiosity and interest in applying AI to business problems 

• Strong communication skills and ability to explain technical concepts clearly 

 

What You’ll Gain 

• Practical experience applying machine learning in a specialty P&C insurance context 

• Exposure to LLM experimentation and text-based modeling use cases 

• Understanding of how analytics solutions move from prototype to production 

• Hands-on experience working with cloud-based data tools 

• Mentorship from experienced data scientists and business leaders 

• Opportunity to present findings and contribute to real business initiatives 

• Potential consideration for future internship or full-time opportunities 

 

Duration: 

12-14 Weeks