<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About The Company<br/><br/></strong>WGV - Württembergische Gemeinde-Versicherung a.G. is a leading insurance provider known for its commitment to innovation, customer satisfaction, and sustainable growth. As a reputable organization in the insurance industry, WGV offers a diverse range of insurance solutions tailored to meet the needs of individuals, families, and businesses. The company prides itself on its strong corporate values, a collaborative work environment, and its dedication to employee development. WGV continuously invests in modern technologies and innovative processes to stay ahead in a competitive market, making it an attractive employer for ambitious professionals seeking a dynamic and fulfilling career path.<br/><br/><strong>About The Role<br/><br/></strong>The WGV is seeking a motivated and talented individual to join our team as a Data Science Intern as part of our Bachelor of Science - Wirtschaftsinformatik (Business Informatics) program. This role offers an exceptional opportunity to gain practical experience in data science within a modern insurance environment. The successful candidate will work closely with our analytics and IT teams to develop data-driven solutions, analyze large datasets, and support strategic decision-making processes. This internship aims to provide a comprehensive understanding of data science applications in the insurance sector, fostering skills in data analysis, machine learning, and data visualization. If you are passionate about leveraging data to solve real-world problems and want to be part of a forward-thinking company, this role is ideal for you.<br/><br/><strong>Qualifications<br/><br/></strong><ul><li>Currently enrolled in a Bachelor of Science program in Wirtschaftsinformatik or a related field with a focus on Data Science, Business Analytics, or similar.</li><li>Strong analytical and problem-solving skills with a keen interest in data analysis and machine learning.</li><li>Proficiency in programming languages such as Python, R, or SQL.</li><li>Familiarity with data visualization tools like Tableau, Power BI, or similar.</li><li>Excellent communication skills and the ability to work effectively in a team environment.</li><li>Self-motivated with a proactive approach to learning and problem-solving.</li><li>Knowledge of insurance industry concepts is a plus but not mandatory.<br/><br/></li></ul><strong>Responsibilities<br/><br/></strong><ul><li>Assist in collecting, cleaning, and preprocessing large datasets for analysis.</li><li>Develop and implement data models and algorithms to extract insights and support business decisions.</li><li>Visualize data findings and prepare reports to communicate insights effectively to stakeholders.</li><li>Collaborate with cross-functional teams to identify data-driven opportunities and solutions.</li><li>Support ongoing projects related to predictive analytics, customer segmentation, and risk assessment.</li><li>Stay updated with the latest trends and advancements in data science and analytics.<br/><br/></li></ul><strong>Benefits<br/><br/></strong><ul><li>Hands-on experience in a leading insurance company with exposure to real-world data projects.</li><li>Mentorship and guidance from experienced professionals in data science and IT.</li><li>Opportunities for professional development and skill enhancement through training and workshops.</li><li>Networking opportunities within the organization and industry.</li><li>Potential for future employment opportunities upon successful internship completion.</li><li>Flexible working hours to accommodate academic commitments.<br/><br/></li></ul>Equal Opportunity<br/><br/>WGV - Württembergische Gemeinde-Versicherung a.G. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, religion, gender, age, sexual orientation, disability, or any other protected characteristic. Our organization values the unique perspectives and experiences each individual brings and encourages candidates from all backgrounds to apply. </div>