Data Scientist

Job Opportunity: Data Scientist at Southern Farm Bureau Life Insurance

Company Overview: Southern Farm Bureau Life Insurance is a leading provider of life insurance and financial services. We are committed to serving our policyholders and communities with integrity and excellence. As a Data Scientist, you’ll be an essential part of our Corporate Data & Analytics' team, contributing to the success of our organization.

Location: Jackson, MS

Role and Responsibilities: The Data Scientist will work with senior data scientists to develop and implement innovative data-driven solutions that enable us to make informed business decisions. This role will have a strong foundation in statistical and machine learning techniques and a desire to learn and grow in the field of data science.

• Assist in designing and implementing statistical models and machine learning algorithms that can be used to solve complex business problems.
• Analyze and interpret large, complex data sets using statistical and machine learning techniques
• Develop data-driven insights that can be used to guide business decisions.
• Stay up to date with latest developments in data science and machine learning techniques.
• Identifies opportunities for process improvement throughout the company.
• Assures compliance with regulatory requirements governing privacy, data collection and reporting.
• Assist in developing, implementing and maintaining a standard for Data Analytics methodology
• Collaborates with business areas to development analytics projects and champions the efforts to move the company towards a data-driven environment
• Prepares summaries/presentations to communicate findings from analysis to management and business areas in a way that is appropriately delivered

Qualifications:

• Bachelor’s degree required. Major in Math, Computer Science, Statistics, Information Systems, or Data Science preferred
• Graduate Degree in Computer Science, Math, Statistics, Information Systems, Data Science preferred
• Certified Analytics Professional certificate preferred*Requirement can be waived at the discretion of management if candidate has post-graduate degree in applicable subject area or work experience
• FLMI Designation preferred
• Minimum of 2 years of experience. Experience in data analytics focusing on predictive and/or descriptive analytics preferred
• Proficiency in development using SQL, R, Python
• Working knowledge of Microsoft Power BI, Microsoft Azure Services, Word and PowerPoint
• Experience working with large, complex data sets and databases
• Insurance and Farm Bureau knowledge preferred
• The ability to perform the essential functions of the job as exhibited through one's growth in job knowledge and professional development
• The ability to provide & receive feedback and develop through training and coaching.
• The ability to establish measurable outcomes and create processes for monitoring progress towards established goals.
• The ability to make well-informed, effective and timely decisions, even when data is limited or solutions produce unpleasant consequences; perceive the impact and implications of decisions.
• The ability to function effectively in the workplace as exhibited through one's integrity, courage to act and communication skills
• The ability to work with others effectively as exhibited through one's respect for people and commitment to teamwork
• The ability to meet organizational goals and customer expectations as exhibited through one's accountability for results, commitment to service and initiative

Employee Benefits: We value our employees’ well-being and offer a comprehensive benefits package:

1. Health Insurance:

• Comprehensive coverage for employees and their families.
• Access to an onsite clinic, preventive care, and prescription drugs.
• Mental health coverage and an Employee Assistance Program.

1. Active Lifestyle Rewards Program:

• Incentives for maintaining an active lifestyle.
• Rewards for participating in fitness challenges and wellness activities.

1. Weight Management Programs:

• Customized weight management plans.
• Support for achieving and maintaining a healthy weight.

1. Employee Engagement:

• Opportunities to connect with colleagues.
• Fun teambuilding activities.

1. Annual events for employees and their families

• Company Picnic, Thanksgiving lunch, Christmas Reception.
• Family Fun Night

1. Onsite Cafe:

• Convenient access to nutritious meals.
• Promoting healthy eating habits.

1. Learning & Development:

• Continuous learning opportunities.
• Tuition reimbursement for further education.

1. Mentorship Programs:

• Pairing employees with mentors.
• Professional growth and guidance.

1. Promotional Opportunities:

• Advancement within the company.
• Career growth prospects.

1. Life Insurance and Company-Funded Pension:

• Financial security for employees and beneficiaries.
• Retirement planning.

1. Volunteer Days:

• Paid time off for volunteering.
• Contributing to the community.