Online applications are invited for the Data Science Intern at MSD, Pune. Check the eligibility and other details below!
About MSD
At MSD, known as Merck & Co., Inc., Rahway, NJ, USA in the United States and Canada, they are unified around our purpose: MSD use the power of leading-edge science to save and improve lives around the world. For more than 130 years, they have brought hope to humanity through the development of important medicines and vaccines. MSD aspires to be the premier research-intensive biopharmaceutical company in the world – and today, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. They foster a diverse and inclusive global workforce and operate responsibly every day to enable a safe, sustainable and healthy future for all people and communities.
Internship Details
The Internship Program at our company features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Human Health division can provide you with great development and a chance to see if we are the right company for your long-term goals.
The program allows students to work on one or more data science projects within our Company’s Human Health Commercial division. These opportunities are designed to facilitate the transition from academia to industry for soon-to-be graduates. They will involve participation and contribution in real projects by our company’s data science team. This is also a way for you to identify if our company may be the right company for your long-term career goals.
Role and Responsibilities
These positions are typically 3-6 months long and have various start dates throughout the year. Most of the projects will involve analyses supporting our company’s commercial objectives.
- Candidates will be responsible for providing analytical and technical support, including collecting and analysing internal and external pharmaceutical data to assist in making meaningful business decisions.
- Candidates will help to solve novel commercial analytic questions through the use of Advanced Analytics (AI/ML)
Qualification and Skill Sets
- Candidates must be currently enrolled in bachelor’s / master’s / PhD degree programs in a quantitative discipline such as data science, statistics, mathematics, physics, economics, computational biology, engineering, management, or another relevant discipline.
- Candidates must be expected to graduate in the next 1-2 years.
- Candidates must be fluent in at least one programming environment, such as Python/R, and have a sound understanding of OOP.
- Candidates must be familiar with the basics of data science and advanced statistical methods (clustering, regression, classification, etc.) and have the ability to determine the correct method for the task or be willing to learn the same.
- Candidates must have demonstrated the ability to problem-solve independently on complex analytical projects.
- Candidates must be interested in supporting pharmaceutical data and analytics initiatives, such as segmentation and targeting, digital analytics, big data analytics, and patient claims analytics.
- Candidates will be required to serve as quantitative methodology professionals by developing creative, analytical solutions and applying appropriate statistical and/or machine learning methodologies to answer novel commercial analytic questions.
- Candidates should be effective oral and written communicators.
- Candidates must strike a balance between methodological rigour and project timelines/deliverables.
Preferred Experience and Skill Sets
- Candidates having experience with one or more of the standard machine learning and data manipulation packages such as sci-kit-learn/numpy/pandas/mlr
- Candidates having familiarity with SQL & databases Redshift/Athena
- Candidates having familiarity with Natural Language Processing & Large Language Models
- Actuarial Science Actuarial Science
- Big Data, Biomedical Research
- Brand Marketing, Business Analysis, Business Case Analyses
- Business Data Analytics, Business Intelligence Implementation
- Business Management, Computer Science, Customer Marketing
- Database Management System Software
- Data Research
- Direct Marketing
- Empathy, Financial Analysis, Health Data Analytics, Health Informatics
- Machine Learning Algorithms, Marketing, Marketing Data Analytics, Marketing Management, Marketing Operations, Natural Language Processing Tools.
How to Apply?
Interested candidates can directly apply through this link.
Apply through Linkedin.
Stipend
- INR 8 Lakhs to 14 Lakhs per annum.
- Note: Salary information is taken from here!
Location
Maharashtra, Pune
