Offer summary

Qualifications:

Bachelor's degree in Applied Mathematics, Statistics, Computer Science, Data Science, or related field., 6 years of related work experience in data science., Expertise in advanced analytics, statistical modeling, and machine learning., Strong programming skills in Python or R, and understanding of the life insurance industry..

Key responsabilities:

Oversee project execution and collaborate with cross-functional teams to deliver data science solutions.

Align data science initiatives with business goals by collaborating with executives and stakeholders.

Design and implement complex machine learning models and monitor their performance.

Provide technical leadership and mentorship to the data science team while driving innovation in methodologies and tools.

Protective has helped people achieve protection and security in their lives for 115 years. Through its subsidiaries, Protective helps more than 12 million people protect what matters most. Protective’s more than 3,700 employees put people first and deliver on the company’s promises to customers, partners, colleagues and communities — because we’re all protectors. With a long-term focus, financial stability and commitment to doing the right thing, Protective Life Corporation, a wholly owned subsidiary of Dai-ichi Life Holdings, Inc. (TSE:8750), has grown to about $132 billion in assets, as of Dec. 31, 2021. Protective is headquartered in Birmingham, Alabama, and supported by both robust virtual workforce and core sites in Cincinnati and St. Louis. For more information about Protective, visit www.protective.com.

Job description

Protective Life Insurance Company, Birmingham, AL. Data Science Lead Associate. *Fully Remote*.

Play a pivotal role in shaping the direction of our data science efforts, overseeing project execution, and collaborating with cross-functional teams to deliver impactful solutions. Collaborate with executives and stakeholders to align data science initiatives with business goals. Ensure delivery of high-quality, scalable, and robust data science solutions. Execute the design and implementation of complex machine learning models. Collaborate with different functional teams to deploy algorithms and develop processes and tools for monitoring model performance and data accuracy. Provide technical leadership and mentorship to the data science team. Drive innovation by staying abreast of emerging technologies and methodologies, data sources and tools, and industry trends.

Qualifications

Requires a bachelor’s degree in - Applied Mathematics, Statistics, Computer Science, Data Science or related field and 6 years of related work experience.

Must have expertise in advanced analytics, statistical modeling and machine learning.

Strong programming skills in languages such as Python or R.

Strong understanding of life insurance industry or similar business domain.

Ability to translate business requirements into technical solutions.

Required profile