MBA Associate Intern, Data Strategy
7 days ago
Job Description
MBA Summer Associate Intern, Corporate Data Strategy and Solutions
The Vertex MBA AI summer associate program is focused on the intersection of advanced analytics and using AI techniques to help solve challenging business problems in the life sciences industry. Our MBA internship program is designed so that you can take leadership of business-critical projects, collaborate alongside industry leaders, and become part of a diverse and inclusive culture. This coming summer, top MBA candidates from business schools around the world will be a part of a first of its kind program to develop the next generation of AI savvy business leaders in our 9-week opportunity designed to provide hands-on work experience in a challenging, fast-paced environment. Successful candidates will discuss preferred areas for projects assignments including but not limited to: Corporate Data Strategy and Solutions team, Commercial Marketing, Innovation and Digital Strategy, Finance, and Workforce Strategy and Analytics.
MBA Intern Program Highlights
- Gain exposure to using advanced analytics and AI to drive impact on business-critical projects
- Provide practical experience in applying data science and analytics using open-source software/tools to analyze business challenges
- Appreciate the data science project lead’s role in hypothesis formation, model design, interpretation of results, and formulation of actionable recommendations
- Experience creating an executive presentation and presenting project results to senior executive management
- Industry and career development panels via our “Lunch and Learn” speaker series
- Exposure to leading data science experts in Boston
AI at Vertex Leaders from our data science, IT and business functions will partner with interns who can translate data science into data products that provide business impact. You will be exposed to key business questions across clinical, commercial, and general and administrative functions and consider how to a data driven approach can be applied to resolving those business questions. You will work in a highly collaborative, centralized team of data scientists, engineers, and business strategists to deliver insights and products that drive value and impact for our highest priority business needs. This will be an excellent opportunity for a student to gain experience with applied data science and AI techniques and experience a dynamic, fast-paced environment, as well as bridge the gap between classroom applications of advanced analytic and business methods and learn how they are applied in the life sciences industry.
Responsibilities
- Conceptualize and plan deployment of advanced analytics and AI solutions for business questions
- Communicate and visualize the output of analyses, including both written and verbal communication, to business leaders and non-technical audiences
- Management and manipulation of data (capture, validate, cleanse, transform and upload data), originating from collaborations throughout the company
- Understand and transform business needs/strategy into features or model
- Produce innovative solutions driven by exploratory data analysis from diverse datasets and apply knowledge of statistics, machine learning, programming, data modeling
- Bring an entrepreneurial, collaborative, and ethical mindset to your everyday work
- Create senior leader quality presentations on the application of data science to your project
- Participate in discovery interviews, project status meetings and project presentations with business partners and intern program leads
Qualifications
- MBA student in business with a background and/or experience in statistics, mathematics, computer science or a related quantitative/technical discipline
- Exposure to/experience in data modeling, machine learning, and linking data sets
- Experience with summarizing data analysis and translating data insights into business impact
- Proficiency in Microsoft PowerPoint, Word, Excel, R, Python, or SAS/SPSS
- Four to six years of work experience prior to MBA Program
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