Data Scientist, Artificial Intelligence Division

Guardian Life

United States

United States

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About

Guardian is undergoing a transformative journey to become a modern, forward-thinking insurance company dedicated to enhancing the well-being of its customers and their families. This unique role offers the opportunity to leverage advanced AI technologies to create meaningful change in how Guardian conducts its business. The AI team at Guardian fosters a culture of intelligence and automation across the organization, delivering business value through innovative data and AI solutions. Comprising data scientists, engineers, analysts, and product leaders, our team collaborates to create AI-driven products that enhance growth, improve risk management, and elevate customer experiences. We are looking for a Data Scientist who is an experienced individual contributor with a solid background in data science and machine learning, and a proven ability to translate research into impactful enterprise solutions. This role emphasizes the building, deployment, and scaling of machine learning models and intelligent automation solutions aimed at reshaping Guardian's operations, customer interactions, and growth strategies. You will work closely with senior executives and cross-functional teams on high-visibility projects to implement next-generation machine learning across Guardian's offerings. Your Key Responsibilities Include: Designing and implementing machine learning solutions to automate business processes, enhance decision-making, and improve customer and employee experiences. Applying various machine learning techniques (e.g., regression, classification, clustering, ensemble methods such as Random Forest and XGBoost) to both structured and semi-structured data, including claims, underwriting notes, and customer records. Developing robust, scalable, and production-ready machine learning models that integrate with Guardian's platforms to achieve measurable business outcomes. Collaborating with data engineers and MLOps teams to ensure model scalability, reliability, and readiness for production. Translating research in machine learning and statistical modeling into practical applications for underwriting, claims automation, customer service, and risk assessment. Working closely with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact. Contributing to the development of reusable components and frameworks for efficient deployment of machine learning solutions. Adhering to model governance, documentation, testing, and best practices in collaboration with key stakeholders. You Should Be: Passionate about using machine learning to tackle real-world business challenges. Curious about new ML techniques and their practical applications in the industry. A hands-on builder who enjoys taking solutions from concept to deployment. Comfortable working within cross-functional teams to align technical solutions with business objectives. An effective communicator, capable of presenting complex ideas and trade-offs to both technical and non-technical stakeholders. You Must Have: A PhD with 0-1 years of experience, a Master's degree with 2+ years, or a Bachelor's degree with 4+ years in Statistics, Computer Science, Engineering, Applied Mathematics, or a related field. At least 2 years of hands-on experience in machine learning modeling and development. A solid understanding of probability, statistics, and machine learning fundamentals. Strong programming skills in Python, along with familiarity in frameworks like scikit-learn, pandas, and numpy. Experience with a variety of machine learning techniques and their applicable advantages and limitations. Excellent problem-solving abilities and analytical skills, with meticulous attention to detail. Strong communication skills and the ability to collaborate effectively with product and engineering teams. A working knowledge of core software engineering concepts (e.g., version control with Git, testing, logging). Experience in insurance, financial services, or similar industries is a plus. Salary Range: $95,170.00 - $156,355.00 The salary range provided is a good faith estimate for the primary location of this position. Final compensation will be determined based on the education, experience, knowledge, and skills of the candidate selected. This role may also qualify for annual incentives or bonuses. Our Commitment At Guardian, you will find the support and flexibility necessary to achieve your professional and personal goals. We are committed to skill-building, leadership development, and offering philanthropic opportunities that foster community engagement and career growth, all within a diverse, high-integrity workforce. Inspiring Well-Being As part of Guardian's mission to inspire well-being, we are dedicated to providing modern, supportive, flexible, and inclusive benefits and resources to our employees. Explore our company benefits for full-time eligible employees. Note that interns are not eligible for most company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. We welcome applications from all qualified individuals regardless of age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other legally protected classification. Accommodations Guardian is committed to ensuring access, equal opportunity, and reasonable accommodations for individuals with disabilities throughout employment, its services, programs, and activities. We also provide reasonable accommodations for qualified applicants and employees related to pregnancy, childbirth, or related medical conditions unless it creates an undue hardship. If you need reasonable accommodations to participate in the application or interview process or to perform essential job functions, please contact HR directly. Note that this contact resource is strictly for accommodation requests and all other inquiries should be directed to the Guardian Careers site. Visa Sponsorship Guardian Life is not currently or planning to sponsor employment visas. To apply successfully for this position, candidates must be legally authorized to work in the United States without the need for employer sponsorship. Current Guardian Colleagues:
Please apply through the internal Jobs Hub. Every day, Guardian assists 29 million customers in realizing their aspirations through a variety of insurance and financial products and services. Our purpose, to inspire well-being, drives our commitment to the colleagues, consumers, and communities we serve. We understand the importance of individual aspirations and strive to prepare our clients for their desired future, focusing on overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we prioritize our customers. Behind every bright future is a Guardian. To learn more about Guardian, visit guardianlife.com.

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