Data Science Intern
1 day ago
Location(s)
Alpharetta, Georgia, Remote-CT
Details
Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.
Kemper's Internship Program
An internship in our Product and Analytics Management University (PMU) will enable you to broaden your understanding of the business, make valuable connections, and set a course for your professional journey with us. You will work on special projects that positively impact our business and our customers.
PMU delivers meaningful internship experiences in the Kemper Auto Product Management, Data Science, and Pricing teams combining knowledge of the business, technical skills, and professional skills. Are you ready to create your own journey by joining ours? This is a paid internship offering challenging projects that support Kemper's strategic priorities.
What Kemper's Internship Provides
- 10-week paid summer internship
- Challenging projects that support the company's objectives
- Real-time constructive feedback
- A resource team to assist with training and career development
- Collaboration with managers who have excellent business acumen
- Opportunities to interact with the senior leadership team
- Group activities, including virtual networking events
- Dedicated program managers and knowledgeable mentors
- Lasting career connections with fellow interns
- Supports the development of analytical solutions.
- Assists in developing and automating processes that can be deployed throughout the organization to solve reoccurring analytics needs.
- Communicates work progress and challenges, analytical insights, and results to the working team.
- Develops database, technical, and business knowledge.
- Must be enrolled in an accredited Master's or PhD program in a quantitative field: Mathematics, Statistics, Data Science, CS, Physics, MIS, Economics, etc.
- Experience in visualizing data is a plus. Passion for machine-learning and research
- Proficient computer skills, including Microsoft Office Suite (Word, PowerPoint, Excel)
- Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, matplotlib, etc.)
- Strong background in machine learning, statistics, and predictive models
- Prior experience of working with imbalanced datasets and AWS is a plus
- Excellent written and verbal communication skills
- Energetic and eager to tackle new projects
- Interest in insurance and financial services
- Good collaborative and relationship-building skills
- This position is a hybrid role and may require regular reporting to the office.
Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like Wiretaps or Skype to communicate with candidates. If you receive such a message, delete it.
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