Boehringer Ingelheim is currently seeking a talented and innovative Data Science Summer Intern candidate to join Central Data Science team at our Ridgefield, CT facility.
As a Data Science Summer Intern, 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.
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, diversity and inclusion, mobility, networking and work-life balance.
Duties & Responsibilities:
The primary focus of the Data Science Summer Intern 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.
Must be an Undergraduate, Graduate, or Professional Student in good academic standing.
Must have completed 12 credit hours within a related major and/or other related coursework.
Overall, cumulative GPA (from last completed quarter) must be at least 3.000 (on 4.0 scale) or better (No rounding up).
Major must be related to the field of Summer Intern
Desired Experience, Skills and Abilities:
BA/BS or MS in Computer Science, Data Science, or another STEM field
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.
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
Who We Are:
At Boehringer Ingelheim we create value through innovation with one clear goal: to improve the lives of patients. We develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family owned company we focus on long term performance. We are powered by 50.000 employees globally who nurture a diverse, collaborative and inclusive culture. Learning and development for all employees is key because your growth is our growth. Want to learn more? Visit boehringer-ingelheim.com and join us in our effort to make more health. Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA, Inc., Merial Barceloneta, LLC and Boehringer Ingelheim Fremont, Inc. is an equal opportunity and affirmative action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender identity or expression; affectional or sexual orientation; disability; veteran or military status, including protected veteran status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.