What are the responsibilities and job description for the Data Science Intern position at UFG?
Here at UFG, we have a shared vision built on the dynamic foundation of people, service, profit and growth. We believe this vision is the right approach for our employees, and the smart approach for our business. If you believe in the principles of “people and service” and feel excitement from “profit and growth,” then we encourage you to check out our internship program.
UFG is looking for an ambitious, career-minded individual with a strong data science aptitude and outstanding people skills for a professional Data Science Co-op/Internship.
Responsibilities:
Assist with the data science team with the following daily activities:
- Work with management to prioritize modeling needs
- Support research and development efforts in a diverse set of challenges as we rapidly prototype and build new modes
- Extensive experience analyzing data and a broad understanding of core statistical and Machine Learning (ML)/Artificial Intelligence (AI) techniques
- Design, build, and deploy ML/AI systems aligning to business objectives
- Translate and champion ML/AI capabilities for non-technical audiences
- Stay current with modeling techniques/technologies
- Maintain positive, professional business acumen and relationships with cross-functional teams and external customers
- Train end users on new models
- Research opportunities for data acquisition and new uses for existing data
- Collaborate with data architects, analytics, and IT team members on project goals
Qualifications:
- Bachelor’s degree required – preferably in related field of study such as actuarial science or statistics/applied statistics
- Competencies typically acquired through a Ph.D. (in Statistics, Computer Science, Mathematics, or other scientific field of study) preferred
- Applicants should possess proven technical and analytical abilities, leadership potential, innovation, creativity and superb communication skills
- Standard knowledge in the use of data sources and applications to conduct research
- Strong working knowledge of data analysis
- Ability to analyze data and review analysis from others and identify and resolve basic data issues
- Computer proficiency in Microsoft Office products including Excel, Word, Outlook, PowerPoint
- Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organization levels
- High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner and to monitor processes throughout a team or department
- Strong decision making skills
- Works effectively in a team environment
- Experience working with Python/R, SQL languages required
