Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Science INTERN
Tel Aviv-Yafo, Tel Aviv District, IL
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Data Science INTERN
What you’ll work on
Full postingContribute to research, training, experimentation and evaluation of AI detections
Support development of production-oriented AI solutions
Work with datasets, evaluation pipelines and experiment tracking to produce insights
Communicate findings, tradeoffs and recommendations to product, engineering and silicon teams
From the employer’s posting
Contribute to research, training, experimentation and evaluation of detections on AI models and agents.
Support the development of production-oriented AI solutions
Work with datasets, evaluation pipelines, and experiment tracking to generate clear insights and support data-driven decisions.
Collaborate closely with product, system engineering, software, and silicon teams, and clearly communicate findings, tradeoffs, and recommendations.
What you’ll bring
All qualificationsCore experience
- Currently pursuing an M.Sc. or Ph.D. in CS, electrical engineering, data science or related field
- Hands-on experience with model development, evaluation, experimentation and data analysis
- Practical coding development experience, including modern AI-assisted coding tools
Preferred experience
- Experience in the cyber security domain.
- Experience working with data pipelines, model lifecycle workflows, MLOps concepts, or production AI infrastructure.
Qualification wording
Currently pursuing an M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related technical field.
Hands-on experience with model development, evaluation, experimentation, and data analysis.
Practical coding development experience, including the use of modern AI-assisted coding tools.
Experience in the cyber security domain.
Experience working with data pipelines, model lifecycle workflows, MLOps concepts, or production AI infrastructure.
Education & alternatives
Required Qualifications: - Currently pursuing an M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related technical field. - Hands-on experience with model development, evaluation, experimentation, and data analysis.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Microsoft is hiring
47 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is steady
- Takes jobs down at a usual pace
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on microsoft.eightfold.ai. The employer’s form will show what is required.
Applying through Eightfold
- You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.
Already applied? Track this application
Has Microsoft posted this job before?
Yes. We’ve followed 2 other Data Science INTERN jobs there since July 2026. One came down after 101 days. One is still up.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Overview
Responsibilities
Qualifications
The Cloud Workload Protection group helps organizations secure their cloud environments by detecting, preventing, and responding to threats across cloud workloads. Within the group, Security for AI (S4AI) focuses on protecting emerging AI applications and agents. We expand threat detection coverage, deliver high-fidelity alerts and automated responses, and help organizations secure their AI applications and agents.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Contribute to research, training, experimentation and evaluation of detections on AI models and agents.
Support the development of production-oriented AI solutions, with attention to model quality, reliability, scalability, and measurable customer impact.
Work with datasets, evaluation pipelines, and experiment tracking to generate clear insights and support data-driven decisions.
Collaborate closely with product, system engineering, software, and silicon teams, and clearly communicate findings, tradeoffs, and recommendations.
Qualifications
Qualifications
Required Qualifications:
Currently pursuing an M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related technical field.
Hands-on experience with model development, evaluation, experimentation, and data analysis.
Practical coding development experience, including the use of modern AI-assisted coding tools.
Preferred Qualifications:
Experience in the cyber security domain.
Experience working with data pipelines, model lifecycle workflows, MLOps concepts, or production AI infrastructure.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tel Aviv-Yafo, Tel Aviv District, IL
Working pattern and location restrictions need checking in the full posting.
- Work authorization
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.