New

Intern - Data and Analytics

Argonaut Management Services, Inc
paid time off, 401(k)
United States, New York, New York
Mar 04, 2026
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 *PLEASE NOTE:* Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to ourHR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.