Job Abstract

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. We've recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO). This role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian’s ongoing evolution.

Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.

Guardian is seeking an experienced individual contributor with a strong background in LLM and Generative AI. Your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.  You'll collaborate with Data Science Tech Leads on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.

• Develop Deep Learning/Large Language Model/Generative AI capabilities
• Design and develop high-quality prompts and templates that guide the behavior and responses of LLM. Craft prompts to elicit specific information or control the model's output, ensuring desired accuracy, relevance, and language fluency. Optimize prompts to improve user interactions and system performance
• Mapping and mining unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs
• AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing
• Run large-scale experiments, from unsupervised pre-training, to fine-tuning, retrieval augmentation and prompt engineering
• Evaluate LLM models on statistical tests, business metrics, and bias and other regulatory metrics
• Support and help build the Data Science Lab (DSL)
• Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
• Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
• Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
• Identification of source data and data quality checks both in model/solution development and in production
• Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
• Contribute to the overall Data Science organization
  • Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups
  • Contribute to standardization of Data Science tools, processes, and best practices

• You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
• You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. 
• You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian.
• You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. 

• PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Basic experience in data analysis and statistical modeling.
• Strong theoretical foundations in probability & statistics
• Strong background in deep learning models including Large Language Models (LLM), Prompt Engineering, and Natural Language Processing (NLP)
• Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
• Strong programming skills in Python including PyTorch and/or Tensorflow
• Solid background in algorithms and a range of ML models
• Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
• Excellent analytical and problem-solving abilities with superb attention to detail
• Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

• 2-3 Days a week at our NYC location in Hudson Yards

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.  Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.

• Choice of [high deductible/copay] medical plans* with prescription drugs, including coverage for fertility and transgender inclusive benefits

• Dental plan

• Vision plan

• Health care accounts – flexible spending, health reimbursement, and health savings accounts

• Critical illness insurance

• Company-paid Life and Disability insurance plus voluntary supplemental coverage

• Accident insurance

• 401(k) retirement plan with a company match, plus an annual age/service-based Company contribution and an annual profit-sharing contribution, if applicable

• Complimentary 1:1 financial guidance with a licensed Fidelity representative

• Flexible work arrangements (part in-person/part remote)

• Unlimited paid time off for most roles plus time off for volunteering, jury duty, voting, and bereavement

• Personal holidays for colleagues to use in recognition of religious, cultural, or civic days

• Paid parental leave and paid family and medical leave policies

• Emotional well-being, mental health, and work/life resources powered by Spring Health

• Wellness programs, including fitness program and equipment reimbursement

• Child, adult, and elder back-up care support through Bright Horizons

• Adoption assistance

• College planning

• Tuition reimbursement

• Student loan assistance

• Commuter benefits in select metropolitan areas

Opportunities to build inclusive and meaningful connections through involvement in colleague-led affinity groups:

• Employee Resource Groups:

• Colleague Connection Committees

• Community Involvement Committees

A culture that encourages colleagues to bring their authentic selves to work

• Voluntary self-ID

• Pronunciation and phonetic spelling of names

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com.