MSD Machine Learning Engineering Paid Internship 

Japan, Chiyoda 

657862646

Job Description

Primary Activities:

Preferred Qualifications:

- Proactive, results-oriented, creative, and flexible thinker with a growth mindset.

- Demonstrates strong interpersonal and communication skills, including presentation abilities.

- Ability and willingness to speak up, challenge the status quo, and uphold high ethical and intellectual integrity standards.

- Capability to understand business requirements and translate them into data-driven processes and services, consulting stakeholders on optimal solutions and managing expectations.

- Graduated School Students currently pursuing degrees in Computer Sciences, Statistics, Physics, Engineering, Mathematics, Economics, Public Health, (Pharmaco-)Epidemiology, or Pharmacy.

Learning Opportunities and Benefits:

- Obtain hands-on experience across the end-to-end Advanced Data Analytics process, from data extraction and exploratory data analysis (EDA) to predictive model building, validation, and deployment using programming languages such as Python.

- Develop skills in extracting, designing, and linking datasets from diverse internal and external sources through SQL queries as part of the ETL process and preparing modeling master datasets for analysis.

- Enhance understanding of Big Data foundations, modern Data and Analytics ecosystems, and IT products, such as AWS and Azure cloud services.

- Learn to lead data-driven initiatives grounded in agile methodologies. These initiatives may involve changing existing systems, processes, or mindsets among stakeholders.

Current Contingent Workers apply

Intern/Co-op (Fixed Term)

Communication, Growth Mindset, Leadership

Agile Delivery, Agile Delivery, Agile Methodology, Analytical Thinking, Big Data, Big Data Processing, Business, Business Outcomes, Computer Programming, Data Analysis, Data Analytics, Data Extraction, Data Preparation, Data Science, Datasets, Design, Machine Learning, Machine Learning Algorithms, Mathematics, Model Building, Optimisations (Inactive), Pharmaceutical Industry, Predictive Modeling, PySpark, Python (Programming Language) {+ 4 more}

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