A Data Scientist II works with moderate guidance to collect, organize, analyze, interpret, and ensure the accuracy of data in support of data science work. He/she acquires, cleanses, and analyzes structured and unstructured data. Uses advanced analytics and modeling tools to predict and prescribe optimal results. Works in closely with the business partners and Actuarial to identify opportunities to improve business outcomes using data and analytics, then defines needed process and system changes, implements viable solutions and support business use and adoption. RESPONSIBILITIES/TASKS: * Prepares data for model development using SQL, Python and/or R * Conducts exploratory data analysis using various statistical analysis methods * Develops predictive/machine learning models in support of business decisions * Performs A/B testing to compare model outcomes against baseline * Engages with MLOps team to productionalize model * Oversees long-term maintenance and monitoring of deployed models * Assists with the creation and support of analytics applications * Research new machine learning and statistics algorithms/concepts/frameworks * Communicates results via presentations, reports, and dashboards to both technical and nontechnical stakeholders * Creates technical documentation for code, models, and results * Assists with peer review of code EDUCATION: Bachelor's degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged. EXPERIENCE: 2 years of research, modeling or actuarial experience required. Workers compensation experience is preferred. Demonstrated ability in statistical modeling and data mining techniques (GLM, clustering, decision trees, etc). Strong understanding of modeling software and data manipulation techniques. Strong understanding of insurance related modeling and data. Strong project management skills. SKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED: * Excellent interpersonal, organizational and communication skills. * Ability and proficiency in the use of computers and company standard software specific to position. General familiarity with the following software: SAS, R, SQL. * Strong database management skills. * Ability to provide direction to other department analysts. * Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction. * Ability to work effectively as a member of a team. * Resourceful problem solving skills and desire to succeed. * Knowledge of insurance and underwriting techniques, agency and policyholder needs. * Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision. * Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude. * Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations. * Ability to manage responsibilities as unexpected pressures/dilemmas arise. * Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making. * Ability to maintain confidentiality. WORKING CONDITIONS: Work is performed in an office setting with no unusual hazards. The qualifications listed above are intended to represent the minimum education, experience, skills, knowledge and ability levels associated with performing the duties and responsibilities contained in this job description. Pay Range Actual compensation decision relies on the consideration of internal equity, candidate's skills and professional experience, geographic location, market and other potential factors. It is not stan