Data Scientist

Location: Downtown-Chicago, IL

Job Type: Full Time

Remote Work: Hybrid, Minimum 3 days in the office. Remote work will be considered

Description Overview

Old Republic Professional (ORPRO) is seeking a Data Scientist to join our growing company. As

a Data Scientist with 1-3 years of experience, you will be an integral part of ORPRO’s efforts to

develop and enhance its data capabilities. You will work alongside a team of data professionals to

analyze complex datasets, build dashboards/reports for key stakeholders within the organization,

and contribute to data-driven strategies that support risk assessment and decision-making.

Job Responsibilities

Data Analysis and Exploration:

• Perform in-depth analysis of large and complex datasets related to Director and Officers

(D&O), Financial Institutions (FI), Employment Practices Liability (EPL), Fiduciary Liability, and Professional and Transactional liability insurance policies, claims, and industry trends.

• Utilize data visualization software Power BI and techniques to communicate key insights

to stakeholders.

Data Preprocessing and Cleansing:

• Prepare and cleanse raw data (from multiple internal and external sources), ensuring data

quality, consistency, and compliance with industry regulations.

• Handle missing data and outliers as necessary.

Collaborative Problem Solving:

• Collaborate closely with cross-functional teams, including underwriters, and legal experts,

to understand business-related challenges and objectives.

• Propose data-driven solutions and contribute to strategy development.

Communication:

• Present findings and model insights to both technical and non-technical stakeholders.

• Document data analysis processes, model development, and results for regulatory

compliance and knowledge sharing.

Regulatory and Industry Knowledge:

• Stay informed about industry regulations, compliance standards, and emerging trends.

Continuous Learning:

• Stay updated on the latest developments in data science and analytics.

• Pursue professional development opportunities to expand your expertise.

Job Requirements

• Bachelor's degree required in a relevant field such as Data Science, Statistics, or a related discipline.

• 1-3 years of practical experience in data analysis, data modeling, or data engineering,

preferably in the Financial Services sector.

• Strong programming skills in Python, R, or similar programming language.

• Strong communication skills and ability to convey complex topics to non-technical audiences.

• Knowledge of SQL for data retrieval and manipulation.

• Work in Tableau, Looker, or similar visualization / business intelligence platform a plus.

• Excellent problem-solving abilities and attention to detail.

• Strong teamwork and communication skills to collaborate with diverse teams.

• Experience maintaining confidentiality of work-related information and materials.

• A genuine interest in the insurance industry, insurance policies, and risk assessment

Qualified candidates must submit a resume to