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Data Scientist Internship Jobs (NOW HIRING)

Ceribell, Inc

Data Scientist

Sunnyvale, CA

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

NorthEastern

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

MessageControl

Data Scientist

Chicago, IL

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... including internships working with complex datasets, including curation, querying, aggregation ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

... interns on the team. • Other duties as assigned. Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies ...

PRGX Global, Inc

Data Scientist

Atlanta, GA

... interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

PRGX Global, Inc.

Data Scientist

Atlanta, GA

... interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

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Data Scientist Internship information

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$46K

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$243.5K

How much do data scientist internship jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data scientist internship 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.

Is 20 an hour good for an internship?

For a Data Scientist Internship, $20 an hour is generally considered competitive, especially for entry-level or early-stage internships. Compensation can vary based on location, company size, and required skills such as programming in Python or R, but $20 per hour aligns with industry standards for many internships in this field.

What would a data science intern do?

A data science intern assists with data collection, cleaning, and analysis using tools like Python or R. They support the development of models, generate reports, and learn industry-standard techniques under supervision to gain practical experience in data science projects.

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

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What kind of projects and tasks can I expect to work on during a Data Scientist Internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What is a Data Scientist Internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What Are the Qualifications to Get a Data Scientist Internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

Is 30 too late for data science?

Age is not a strict barrier for a data scientist internship; many candidates start at 30 or older, especially if they have relevant skills in programming, statistics, and tools like Python or R. Success depends on your experience, continuous learning, and ability to demonstrate your capabilities through projects or certifications.

What are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?

To excel as a Data Scientist Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, often supported by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help interns interpret data and explain insights to diverse audiences. These skills enable interns to contribute meaningfully to projects, bridge technical and business goals, and accelerate their learning in a real-world data science environment.

How to get an internship as a data scientist?

To secure a data scientist internship, candidates should develop strong skills in programming languages like Python or R, gain experience with data analysis and machine learning, and build a portfolio of projects. Applying through company career portals, leveraging university connections, and obtaining relevant certifications such as those in data science or analytics can improve chances. Internships often require a background in a related field like computer science, statistics, or mathematics.
More about Data Scientist Internship jobs
What cities are hiring for Data Scientist Internship jobs? Cities with the most Data Scientist Internship job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Data Scientist Internship jobs? States with the most job openings for Data Scientist Internship jobs include:
What job categories do people searching Data Scientist Internship jobs look for? The top searched job categories for Data Scientist Internship jobs are:
Data Scientist Internship jobs near you
Infographic showing various Data Scientist Internship job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Lead Data Scientist - Gen AI

Lead Data Scientist - Gen AI

State Farm

Bloomington, IL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

State Farm rating

7.5

Company rating: 7.5 out of 10

Based on 1,363 frontline employees who took The Breakroom Quiz

195th of 261 rated insurance

Job description

Overview
Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
HYBRID: Qualified candidates must be residing or relcoate within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ
SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.
Responsibilities
State Farm is seeking Data Scientists with experience in deep learning with Computer Vision and Nature Language Processing (NLP) and GenAI to support the growing demand for data science solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of AI/ML solutions.
Applicants for this posting will be considered for Lead Data Scientist openings in Enterprise Technology - Data & AI. This area supports AI/ML solution development for Claims, Marketing, and other internal departments. It also hosts centers of excellence for natural language processing, experimental design, generative AI, & data science training/research.
At State Farm, we believe in fostering professional growth and development. As a Lead Data Scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple development areas. Being a trustworthy consultant to business, you continue to develop and improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use.
Data Science at State Farm:
As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity affords consideration for data scientists who can bring in-demand skills and disciplines to our data science suites. Below are some of the tasks you can expect in the typical day of a Data Scientist:
  • Develop and validate advanced deep learning models and GenAI solutions
  • Provide input into and/or build datasets to support AI/ML solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm's AI/ML portfolio
  • Assess model performance, investigate changes, and perform model updates as necessary.

Why Join Our Data Science Team?
At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our Data Scientists also embrace staying current with the evolving data science landscape.
The Selection Process:
1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you will receive an invite to complete a video recording.
2. If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview focus on roleplaying interactions with a data science business partner and interpreting code and graphical outputs.
3. The next step is another live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
4. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: an in-person final loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experiences.
Qualifications
  • Completed master's or PhD in an analytical or engineering field such as statistics, computer science, mathematics, nature science (physics, chemistry etc.), economics, data science, quantitative marketing, operations research, industrial engineering, etc., with 3+ years of predictive model building experience
  • Experience with Python, deep learning frameworks (e.g., PyTorch), and fine-tuning open-source Computer Vision and NLP models
  • Experience with GenAI (e.g., LLM and Agentic AI) solution development
  • Experience in end-to-end ML models development for production (i.e., scoping project, design, ground truth collection, training, validation, and monitoring)
  • Experience with IDEs (e.g., IntelliJ, VS Code), Linux terminal, version control and cloud-based tools for ML development (e.g., AWS SageMaker)
  • Solid general coding practice and computer knowledge (e.g., latency vs throughput)
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

Our Benefits
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
  • Potential starting salary range: $110,000 - $160,000. Starting salary will be based on skills, background, and experience (High end of the range limited to applicants with significant relevant experience)
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

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