Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Reads like a ML Engineer role: putting models into production.
Basking Ridge, NJ, US, 07920
Actively hiring, first seen by us 4 days agoSalary Range: USD$17.23 - USD$58.15Read the full posting
Job title: Data Scientist and AI Developer Intern (Basking Ridge, NJ, US, 07920)
Design, develop and support AI, ML, NLP and GenAI solutions
Analyze data using SQL and other techniques
Extract data using REST APIs
Develop and support simple user interfaces
Support cloud-based data and AI solutions on AWS and GCP
Design, develop, and support AI/ML/NLP/GenAI solutions.
Analyze data using SQL and other techniques.
Extract data using REST APIs.
Develop and support simple user interfaces.
Support development, deployment, and integration of cloud-based data and AI solutions using technologies such as AWS and GCP.
Experience with SQL development, data analysis using MS Excel, developing simple web portals and machine learning (NLP, predictive analytics) is required.
data analysis using MS Excel
developing simple web portals
machine learning (NLP, predictive analytics) is required
Qualifications Qualified candidates must be a current graduate school student pursuing computer science, data analytics or a related discipline. Experience with SQL development, data analysis using MS Excel, developing simple web portals and machine learning (NLP, predictive analytics) is required. Prior academic or professional work experience is preferred; experience in the pharmaceutical industry and/or with clinical data is a plus. Enthusiasm, eagerness to learn and take on responsibilities, and teamwork are essential qualities. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Day 4
Early. Similar jobs usually come down between day 7 and day 72.
From 4,777 similar postings that came down. Coming down is not always a hire.
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
We are currently seeking a Data Scientist and AI Developer Intern from June 2027 – May 2028. This position works for approximately 37.5 hours per week in the summer and 20 hours per week for the remainder of the internship. The intern will be accountable for ideating, designing, developing, and supporting applications and solutions to explore various machine intelligence techniques including but not limited to natural language processing (NLP), predictive analysis using supervised and unsupervised machine learning (ML), and generative AI (GenAI) using large language models (LLM) for use cases that focus on data quality and data governance. The role may also involve working with cloud technologies and services such as AWS and GCP to support scalable data processing, AI/ML experimentation, application deployment, and integration with enterprise data platforms. The position requires familiarity with AI/ML/NLP/GenAI techniques, SQL databases and data manipulation, API architectures, cloud-based services, and user interface development. Strong work ethic and eagerness and ability to self-learn is critical. Responsibilities
Responsibilities 1. Design, develop, and support AI/ML/NLP/GenAI solutions. 2. Analyze data using SQL and other techniques. 3. Extract data using REST APIs. 4. Develop and support simple user interfaces. 5. Support development, deployment, and integration of cloud-based data and AI solutions using technologies such as AWS and GCP. 6. Create simple visualization. 7. Assist in various other related functions such as preparing documentation, taking meeting notes, plan and manage work, make presentations, etc. 8. Augment knowledge with self-driven learning. Qualifications
Qualifications Qualified candidates must be a current graduate school student pursuing computer science, data analytics or a related discipline. Experience with SQL development, data analysis using MS Excel, developing simple web portals and machine learning (NLP, predictive analytics) is required. Prior academic or professional work experience is preferred; experience in the pharmaceutical industry and/or with clinical data is a plus. Enthusiasm, eagerness to learn and take on responsibilities, and teamwork are essential qualities. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
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New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
We are currently seeking a Data Scientist and AI Developer Intern from June 2027 – May 2028. This position works for approximately 37.5 hours per week in the summer and 20 hours per week for the remainder of the internship.
The intern will be accountable for ideating, designing, developing, and supporting applications and solutions to explore various machine intelligence techniques including but not limited to natural language processing (NLP), predictive analysis using supervised and unsupervised machine learning (ML), and generative AI (GenAI) using large language models (LLM) for use cases that focus on data quality and data governance. The role may also involve working with cloud technologies and services such as AWS and GCP to support scalable data processing, AI/ML experimentation, application deployment, and integration with enterprise data platforms. The position requires familiarity with AI/ML/NLP/GenAI techniques, SQL databases and data manipulation, API architectures, cloud-based services, and user interface development. Strong work ethic and eagerness and ability to self-learn is critical.
1. Design, develop, and support AI/ML/NLP/GenAI solutions.
2. Analyze data using SQL and other techniques.
3. Extract data using REST APIs.
4. Develop and support simple user interfaces.
5. Support development, deployment, and integration of cloud-based data and AI solutions using technologies such as AWS and GCP.
6. Create simple visualization.
7. Assist in various other related functions such as preparing documentation, taking meeting notes, plan and manage work, make presentations, etc.
8. Augment knowledge with self-driven learning.
Qualified candidates must be a current graduate school student pursuing computer science, data analytics or a related discipline. Experience with SQL development, data analysis using MS Excel, developing simple web portals and machine learning (NLP, predictive analytics) is required. Prior academic or professional work experience is preferred; experience in the pharmaceutical industry and/or with clinical data is a plus. Enthusiasm, eagerness to learn and take on responsibilities, and teamwork are essential qualities.
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Salary Range:
USD$17.23 - USD$58.15
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary Range: USD$17.23 - USD$58.15
Basking Ridge, NJ, US, 07920
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.