INTERNSHIP: Data Science – R&D Operations & Software Test Analytics - Onsite RI 6mo 2026

United States, RI, Johnston

Internship

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Key Job Details

Location:

United States, RI, Johnston

Job type:

Internship

Product:

SIMULIA

Experience level:

Not specified

Posted on:

4/23/2026

Ref ID:

545736

Role Description & Responsibilities

We are seeking a highly motivated, curious, and proactive Data Science Intern to join our R&D organization, focusing on analyzing operations and software testing data to drive actionable insights and continuous improvement. In this role, you will work at the intersection of data science, engineering, and quality assurance to enhance development efficiency and product quality.

Analyze R&D operations and software test data to identify trends, anomalies, and optimization opportunities
Perform exploratory data analysis (EDA) on large datasets including test results, defect logs, and system performance metrics
Develop dashboards and visualizations to monitor key performance indicators (KPIs) across development and testing pipelines
Collaborate with management, software engineers and quality engineers to translate data insights into process improvements
Apply statistical methods and machine learning techniques to predict defect patterns, test coverage gaps, and resource utilization
Clean, preprocess, and integrate data from multiple sources (e.g., CI/CD systems, issue tracking tools, simulation outputs)
Automate recurring analysis and reporting workflows using scripting and data tools
Present findings and recommendations to technical and non-technical stakeholders

Qualifications

We are seeking a positive and ambitious team-oriented person with the following qualifications:

Recent graduate or currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
Strong programming skills in Python or R (e.g., pandas, NumPy, scikit-learn)
Working knowledge of SQL and experience with relational databases
Familiarity with data visualization tools
Understanding of statistical analysis, hypothesis testing, and basic machine learning concepts
Strong analytical and problem-solving skills with attention to detail
Excellent English verbal and written communication skills with the ability to convey complex insights clearly

In addition to working with your direct team, as a member of Dassault Systemes NAM Intern Program you will be invited to our Speaker Series, Lunch and Learns, Networking Events and employee functions. Besides the above, a sense of adventure and a willingness to have fun through work are great tools at our disposal.

If you enjoy learning new things while working with a friendly group of highly skilled individuals, this could be a great fit for you! Please note that this position is 100% in person at the Johnston, RI office.

Inclusion statement

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.

Salary Pay Transparency

Compensation for the role will be commensurate with experience. The total expected compensation range will be between $25 and $36 per hour.

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