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Account Service Representative – Eagan MN

Who We Are

Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.

The Role As a Data Scientist at Solera’s Explore division, you will play a critical role in developing, maintaining, and advancing data-driven products that power decision-making across the insurance industry. Explore provides advanced data and modeling solutions that help insurers better understand risk, improve pricing accuracy, and optimize operations.

You’ll work with diverse data sources—including geospatial, structured and unstructured, and telematics data—to build, enhance, and deploy predictive models and machine learning solutions. You’ll also explore and implement cutting-edge large language models (LLMs) to automate analytical and operational processes and contribute to new product development initiatives that expand Explore’s data capabilities.

What You’ll Do

Model Development & Machine Learning

• Design, train, and maintain predictive and prescriptive machine learning models for insurance applications.
• Apply statistical modelling, supervised and unsupervised learning, and deep learning techniques to solve business problems.
• Leverage modern LLMs and AI tools to automate data analysis, document processing, and model-driven workflows.
• Implement scalable, production-ready models and contribute to model monitoring and performance tuning.

Data Analysis & Engineering

• Work with complex and large-scale datasets, including geospatial, telematics, structured, and unstructured data.
• Perform exploratory data analysis, feature engineering, and data cleaning to support model development.

Product Innovation & Collaboration

• Collaborate with business, actuarial, and engineering teams to design and prototype new data and modelling products.
• Translate analytical insights into actionable recommendations that support underwriting, pricing, and risk assessment.
• Participate in the full lifecycle of model-driven product development—from ideation and experimentation through deployment and evaluation.
• Research & Automation
• Stay up to date on advances in AI, generative modelling, and machine learning frameworks relevant to insurance data.
• Experiment with modern AI/ML tools to identify opportunities for automation and workflow optimization.

What You’ll Bring

To be successful in this role, candidates should possess the following:

• Proficiency in Python.
• Strong foundation in machine learning and statistical modeling.
• Experience with natural language processing and familiarity with LLM.
• Strong analytical mindset with the ability to interpret model outputs, identify trends, and communicate insights.
• Creative and self-driven approach to solving open-ended problems.
• Ability to clearly communicate technical findings to non-technical stakeholders.
• Strong teamwork and collaboration skills in cross-functional environments.
• Experience & Education
• 2+ years of experience working as a Data Scientist
• Bachelor’s degree (or higher) in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or physical sciences.
• Background in insurance, data services, or software-as-a-service (SaaS) environments is a plus.

EQUAL OPPORTUNITY EMPLOYER
SOLERA HOLDINGS, INC., AND ITS US SUBSIDIARIES (TOGETHER, SOLERA) IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE FIRM'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.