Machine Learning Engineering Paid Internship in Japan Full-time

Job Description

Summary of job scope:

We are seeking a Machine Learning Engineering Paid Internship, with a growth mindset, to work closely with cross-functional business teams adopting agile ways of working, to create business values and outcomes with data and Advanced Data Analytics. We are flexible with the duration and time allocation of the internship; it could be for 3-, 6-, or 9-months, as well as part-time, while the candidate is pursuing their academic degree. Upon completion, based on performance, the internship could lead to a full-time opportunity with our organization.

Primary Activities:

Provide business outcomes: Design solutions leveraging analytical approaches and best practices and build prototypes, code, and documents to deliver actionable insights and business outcomes to stakeholders and management.

Implement technology modernization: Implement modern technologies related to analytics, Machine Learning, and AI, to improve our company’s business process and efficiency.

Drive agile delivery: Leverage our ways of working, to deliver business outcomes with agility and significant productivity based on iteration and experimentation principles.

Foster global collaboration: Establish effective trust partnerships with cross-functional teams and international communities.

Lead decision-making: Make and execute decisions by using Data Science techniques and data architecture to solve critical business problems and achieve business goals.

Uphold behavior standards: Maintain behavior standards and a mindset built on collaboration, learning, and sharing principles.

Preferred Qualifications:

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

– Enjoys working in diverse and inclusive global and matrix environments across functions and geographies

– Ability and willingness to speak up and challenge the status quo. Upholds high standards of ethical and intellectual integrity

– Ability to clearly understand business requirements and translate them into data-driven processes and services, while consulting stakeholders on optimal solutions and managing expectations

– Strong interpersonal and communication skills, incl. presentation

– Graduated School Students currently pursuing degree(s) in Computer Sciences, Statistics, Physics, Engineering, Mathematics, Economics, Public Health, (Pharmaco-)Epidemiology, Pharmacy

Learning Opportunities and Benefits:

– Knowledge and experience in the domains of Advanced Data Analytics, Data Science, Machine Learning and AI, Business Insights, and visualization by designing analytical solutions, as well as storytelling and presentation of insights and outcomes to business stakeholders

– Hands-on experience within the end-to-end Advanced Data Analytics process, from data extraction, EDA in validating the quality or reliability of data, data preparation, and preprocessing to predictive model building, validation, and deployment through programming experience with open-source languages like Python

– Ability to extract, design, and link datasets from diverse internal and external data sources by writing SQL queries as a part of the ETL process and preparing modeling master datasets for analysis, as well as designing, developing Machine Learning models pipelines, and deploying them across the CI/CD process

– Understanding of Big Data foundations, as well as of modern Data and Analytics ecosystems and IT products, such as AWS and Azure cloud environments and services

– Ability to lead data-driven initiatives, which sometimes include changing existing systems, operations, or mindsets of others, based on prioritization in working in the agile methodology

– Experience or knowledge about the pharmaceutical commercial business and data sources (e.g., prescription and sales data, patient claims data, promotional data); ability to design future ideal state of Data Analytics in it

– Based on performance, the internship could result into a full-time opportunity with our organization

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:
Intern/Co-op (Fixed Term)

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:
Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:
Data Engineering, Design Applications, Information Security, Machine Learning, Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Testing

Preferred Skills:
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, Pharmaceutical Industry, Predictive Modeling, Project Management, PySpark {+ 4 more}

Job Posting End Date:
12/31/2024
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.