Predictive Modeling & Data Science Graduate Intern

This is a fully remote position, open to applicants in Alabama, +44 more states.

📋 Description

• Create sophisticated analytics and data science solutions that facilitate business decisions, processes, and strategic goals.

• Utilize statistical and machine learning techniques.

• Build predictive models and assess intricate datasets.

• Present results to promote data-driven decision-making.

• Engage in the complete analytics lifecycle, from understanding business inquiries and data exploration to model development, assessment, visualization, and delivery.

• Investigate new data sources, analytical tools, and innovative techniques.

• Perform exploratory and statistical analyses.

• Prepare and process data.

• Assess model outcomes.

• Explore new analytical methodologies.

• Convey insights and recommendations to both technical and business stakeholders.

• Contribute to projects, programs, unit initiatives, research, and reporting under supervision.

• Provide suggestions or alternative courses of action.

• Adhere to HIPAA, data security protocols, company policies, relevant laws, and the Code of Business Conduct.

⛳️ Requirements

• Candidates must be authorized to work in the U.S. without restrictions.

• Bachelor’s degree is required.

• Enrollment in a graduate program, either full-time or part-time, at an accredited institution is preferred.

• Preferred: pursuit of a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or another related quantitative field.

• Preferred: experience in coursework, research, or projects related to predictive modeling, machine learning, statistical analysis, or advanced analytics.

• Preferred: background in handling large or complex datasets through academic research, internships, professional work, or graduate studies.

• Preferred: familiarity with programming and analytical tools widely used in data science and statistical modeling.

• Preferred: experience in data preparation, exploratory data analysis, feature engineering, and model assessment.

• Preferred: expertise in developing data visualizations and communicating analytical results to varied audiences.

• Preferred: understanding of machine learning principles, statistical modeling methods, and predictive analytics techniques.

• Preferred: capability to convert business questions into structured analytical methods and actionable insights.

• Preferred: enthusiasm for new data science technologies, analytical methods, and novel data sources.

🏝️ Benefits

• Practical training and experience within the business sector.

• Opportunities for career development within the business line and related fields.

• Mentorship, support, and training from experienced professionals.

• Learning through project-based experiences.

• Real-world experience in developing professional skills and expertise.