The AEL Summer Internship Program offers an immersive real-world experience, closely replicating the career journey of an American Equity professional. Each intern will contribute to meaningful, hands-on projects that drive measurable business outcomes, gaining valuable experience along the way.

Interns will also have the opportunity to present their project work to company leaders, network with executives, and participate in educational programs designed to support their personal and professional growth. Additionally, interns will engage in community service projects and social events, building connections with fellow interns and the broader American Equity team.

GENERAL PURPOSE OF THE JOB:   

The Data Scientist Intern, as a member of the Data Analytics & Reporting Center of Excellence (COE), applies their skills in artificial intelligence, machine learning, advanced analytics, statistical analysis and programming to develop data-driven solutions to support corporate initiatives. The Intern collaborates with the business partners to define the technical problem statement, develop efficient and accurate analytical models and incorporate them into analytical data products or tools with the support of a cross-functional team.

ESSENTIAL DUTIES AND RESPONSIBILITIES:  

• Shadows Business Intelligence Developers, Data Analysts, and Data Scientists to learn essential duties and functions of the role.
• Works within a Center of Excellence (COE) model for supporting business enablement by leveraging company data to drive decisions.
• Provides advanced analytics across variety of techniques, including data aggregation, statistical modeling, predictive modeling and machine learning.
• Participates in complex data related analytical projects that drive business decisions and efficiencies.
• Collaborates with business partners to develop novel ways to meet objectives utilizing data, cutting edge techniques, and tools​.
• Effectively communicates the analytics approach and how it will meet and address objectives to business partners​.
• Ensures adherence to data management and data governance policies and standards.
• Performs other related work as assigned.

SUPERVISORY RESPONSIBILITIES:

Direct Reports:

None

General Description of Indirect Reports (2 and 3-downs): 

None

EDUCATION AND/OR EXPERIENCE:  

Actively pursuing a bachelor’s degree in a quantitative field such as statistics, mathematics, computer science, data science OR Graduate degree in a quantitative discipline and demonstrated Data Science skill set.

CERTIFICATES, LICENSES, PROFESSIONAL DESIGNATIONS:

N/A

KNOWLEDGE, SKILLS AND ABILITIES:   

• Some experience writing SQL queries, feature engineering, data analysis, data tools, building prototypes, using and creating algorithms and creating simulations.
• Some experience using statistical computer languages such as Python or R.
• Some knowledge and experience in statistical and machine learning techniques including GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Some experience creating and using advanced machine learning algorithms and statistics including regression, classification, anomaly detection, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. on large data sets.
• Some experience merging and transforming disparate internal & external data sets together.
• Some experience using BI tools like Tableau and Power BI.
• Strong organizational and planning skills.
• Excellent communication skills and ability to effectively present information to stakeholders.
• Ability to successfully handle pressure and meet deadlines in a fast-paced work environment.

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This description covers the major purpose and essential functions of the job.  It is not intended to give all details or a step-by-step account of the way each task is to be performed.  Employees may receive other job related instructions and be required to perform other job related work requested by their manager.  All requirements are subject to possible modification to provide reasonable accommodation to qualified individuals with disabilities.