Description Boehringer Ingelheim is currently seeking a talented and innovative Data Science Co-Op candidate to join Central Data Science team at our Ridgefield, CT facility. As a Data Science Co-Op, you will work on a global strategic initiative to make better use of our data and enhance our ability to make data driven decisions. You will work closely with business stakeholders to identify opportunities for leveraging data to drive business solutions, understand the business problem and extract relevant trends and patterns from data. You will help the team shape, develop, and execute complex analytic solutions that will transform the healthcare industry. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees. We look forward to receiving your application. Before applying please ensure you can commit to the following:

• Expect to be on-site for at least 3 days per week and must be located in the local area for the Co-op.
• Candidates will start in the time frame noted on the questions when you apply for this role.
• Co-op Students will work for at least 4 months after the start date.

We may extend you up to 6 months in total depending on business needs. These are Full time positions. Duties & Responsibilities The primary focus of the Data Science Co-Op candidate will be to work with a business team to analyze data sets and design analytical solutions. Responsibilities include translating idea to data, data preparation, analysis and modelling, user testing, product development and maintenance. Requirements Must be a current undergraduate, graduate or advanced degree student in good academic standing. Student must be enrolled at an accredited college or university for the duration of the internship/co-op . Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred. Major or minor in related field of internship/co-op . Undergraduate students must have completed at least 12 credit hours at current college or university. Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.

Eligibility Requirements :

Must be legally authorized to work in the United States without restriction. Must be willing to take a drug test and post-offer physical (if required). Must be 18 years of age or older. Desired Skills, Experience and Abilities Experience with Data Visualization Tools Strong command of Microsoft Excel and PowerPoint Proficient in Python and or R, SQL Understanding of database and analytical technologies in the industry Experience or coursework in machine learning and/or deep learning packages available for R and Python Demonstrated ability to think strategically about business, product and technical challenges in an enterprise environment Ability to collaborate in a team environment and excel working in a VUCA environment Strong oral and written communication skills Experience with large data sets and distributed computing (Hive/Hadoop) is a plus.

JOB ID 36486

Job function Information technology Career level Student roles & Internships Organization BI USA Working time Full-Time Job flexibility Hybrid Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients, and communities. All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law