D3 - Data Science Intern Job ID : 111109 Location : Chicago, IL US Level : Intern Job Category : Data Science & Analytics Description : Where good people build rewarding careers. Think that working in the insurance field cant be exciting, rewarding and challenging? Think again. Youll help us reinvent protection and retirement to improve customers lives. Well help you make an impact with our training and mentoring offerings. Here, youll have the opportunity to expand and apply your skills in ways you never thought possible. And youll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life. Job Description: Do you enjoy problem solving, quantitative reasoning, and technology? Are you interested in working in a collaborative, friendly environment? If so, we invite you to consider a Summer 2019 internship at Allstate with the Data, Discovery & Decision Science (D3) team! D3 is responsible for supporting other internal business units with a broad range of data, research and analytical projects. With a fast growing team of highly skilled personnel, D3 provides a unique learning environment through formal training curriculum, mentoring, informal everyday coaching and hands-on training. In D3, we use mathematical, statistical, and machine-learning techniques to assist in the research and development of pricing and economic models, data-visualization apps, and decision-making tools. We build products and knowledge to help business leaders, agents, and customers make better, data-driven decisions. The Data Scientist Family requires Analytic Agility, the ability to quickly learn new modeling/machine learning techniques, programming languages, and see how these ideas can integrate to optimize the business. This role is responsible for leading the use of data to make decisions. This includes: The coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. Key Responsibilities: The following are the areas of responsibility the Data Science Intern will be exposed in some capacity: Uses best practices, with limited coaching, to develop statistical, machine learning techniques to build models that address business needs Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop) Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling Innovates on projects by using new modeling techniques or tools Contributes on a wide variety of projects Executes on modeling/machine learning projects effectively Communicates findings to team and leadership ensure models are well understood and incorporated into business processes Works with leaders to ensure the project will meet their needs Maximizes personal professional development to ensure continuation of a personal contribution to the team and Allstate Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership Allstate Internship Program: Target start date: May/June 2019 12 week summer internship program An attractive compensation package Housing stipend offered to qualified students Collaborative team environment Planned intern activities; including lunches with Allstate officers as keynote speakers Volunteer/community service opportunities Potential to receive possible full-time employment after graduation Qualifications Education: Currently pursuing a degree in a quantitative field (e.g. mathematics, statistics, computer or physical science). Pursuit of a graduate degree strongly preferred . Skills and Experience: Ability to solve problems, think critically, and communicate clearly. Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining Experience with programming. An understanding of algorithmic scaling and complexity a plus. Experience with big-data tools (e.g. hadoop) a plus. This position is posted in multiple office locations. Please ONLY apply for the location you are most interested in. The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen. Good Work. Good Life. Good Hands®. As a Fortune 100 company and industry leader, we provide a competitive salary but thats just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, youll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. Learn more about life at Allstate. Connect with us on Twitter , Facebook , Instagram and LinkedIn or watch a video . Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. It is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era. Link for schema