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Internship Data Scientist Graduate Jobs (NOW HIRING)

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

The Tile Shop

Our Data Science team sits at the heart of innovation, driving impactful solutions across customer ... internship/work experience.

QxBranch

Data Scientist QxBranch

Washington, DC

... including internships, part-time positions, and graduate level education * Desired Skills ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

... including internships, part-time positions, and graduate level education Desired Skills ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Victory

Data Scientist

Austin, TX

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Victory

Data Scientist

Austin, TX · On-site +1

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

State Farm

Data Scientist

Richardson, TX · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

State Farm

Data Scientist

Bloomington, IL · On-site

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Howmet Aerospace

Data Scientist

Whitehall, MI

... or a graduate data science degree * Demonstrated success applying advanced statistical methods and/or machine learning algorithms to production/field data using Python or R * Employees must be ...

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

The Data Scientist will work as part of a research-focused team to advance national security ... Master's degree or equivalent graduate degree including certificate-based advanced training courses ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

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Internship Data Scientist Graduate information

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$165K

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How much do internship data scientist graduate jobs pay per year?

As of Jul 28, 2026, the average yearly pay for internship data scientist graduate in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an Internship Data Scientist Graduate?

An Internship Data Scientist Graduate is a recent graduate or student in a data science or related field who is gaining practical experience through an internship. Their role typically involves working with large datasets, applying statistical analysis, building machine learning models, and supporting data-driven decision making within a company. This internship allows them to develop technical skills, learn industry tools and practices, and gain exposure to real-world business problems. It often serves as a stepping stone to a full-time data science position after graduation.

What types of projects and team collaborations can I expect as an Internship Data Scientist Graduate?

As an Internship Data Scientist Graduate, you'll typically work on real-world projects such as data cleaning, exploratory analysis, and building predictive models under the supervision of experienced data scientists. You'll collaborate closely with cross-functional teams, including engineers, business analysts, and product managers, to understand project requirements and deliver actionable insights. Interns are often encouraged to present their findings and contribute to team meetings, providing an excellent opportunity to develop both technical and communication skills. You'll also receive mentorship and constructive feedback, which can help accelerate your learning and professional growth in the data science field.

What is the difference between Internship Data Scientist Graduate vs Data Scientist?

AspectInternship Data Scientist GraduateData Scientist
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldBachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field; often requires some experience
Work EnvironmentTemporary, entry-level position often in a corporate or research setting, focused on learning and support tasksFull-time role with responsibilities including data analysis, modeling, and project development
Employer & Industry UsageUsed by companies for training and talent pipeline; common in tech, finance, healthcareEstablished role in various industries including tech, finance, healthcare, and consulting

The main difference is that an Internship Data Scientist Graduate is a temporary, entry-level position aimed at gaining experience, while a Data Scientist is a full-time professional role with ongoing responsibilities and expertise in data analysis and modeling.

What are the key skills and qualifications needed to thrive as an Internship Data Scientist Graduate, and why are they important?

To thrive as an Internship Data Scientist Graduate, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or coursework in data science or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow) is highly valuable, and exposure to cloud platforms like AWS or Azure is a plus. Strong problem-solving skills, curiosity, and effective communication help you stand out by enabling you to interpret data insights and share findings with non-technical stakeholders. These skills ensure you can extract meaningful insights from data and contribute effectively to projects in a collaborative environment.
More about Internship Data Scientist Graduate jobs
What cities are hiring for Internship Data Scientist Graduate jobs? Cities with the most Internship Data Scientist Graduate job openings:
What are the most commonly searched types of Data Scientist Graduate jobs? The most popular types of Data Scientist Graduate jobs are:
What states have the most Internship Data Scientist Graduate jobs? States with the most job openings for Internship Data Scientist Graduate jobs include:
What job categories do people searching Internship Data Scientist Graduate jobs look for? The top searched job categories for Internship Data Scientist Graduate jobs are:
Internship Data Scientist Graduate jobs near you
Infographic showing various Internship Data Scientist Graduate job openings in the United States as of July 2026, with employment types broken down into 40% Full Time, 20% Temporary, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Science Internship (Data Platforms)

Data Science Internship (Data Platforms)

MHI

Lake Mary, FL • On-site

Internship

Posted 19 days ago

Job description

Data Science Associate
Company Overview
At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.
Role Overview
The Data Scientist Intern supports Mitsubishi Power's IT Data Platforms team by contributing to data quality, data cataloging, and automation efforts within enterprise data environments. This hands-on internship provides practical experience working with cloud-based data platforms, centralized data repositories, and Microsoft Power Platform tools. The role collaborates with Data Platforms leadership, Enterprise Applications, and IT stakeholders to support scalable, high-quality data solutions used across the business.
Key Responsibilities
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Requirements
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Learning Outcomes
  • Gain hands-on experience with enterprise data platforms, including data lakes and cloud-based environments, understanding how data supports business operations.
  • Develop core data skills in data quality, validation, cataloging, and metadata management using real-world datasets.
  • Apply analytics and automation tools such as Excel, SQL, and Microsoft Power Platform to support business processes and workflows.
  • Strengthen problem-solving and communication skills by working cross-functionally and translating data insights into clear, actionable outcomes.

Mitsubishi Power is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.

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