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Internship Data Scientist Finance Jobs (NOW HIRING)

University of North Georgia

Data Scientist

Dahlonega, GA · On-site

Experience mentoring interns, graduate assistants, or junior analysts. Experience applying machine ... This position does not have any financial responsibilities. * This position will not be required to ...

Continental Finance

Data Scientist

Wilmington, DE · Hybrid

Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Scientist to support our Data Science team. The Data Scientist ...

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 ...

CVS Health

Data Scientist

Chicago, IL · On-site

$79K - $158K/yr

... internship or academic project experience - Experience using Python and SQL for data analysis and ... financial wellbeing of colleagues and their families. The benefits for this position include ...

Howmet Aerospace

Data Scientist

Pittsburgh, PA · On-site

$38K - $43K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Internship, co-op, academic research, or personal project experience involving analytics, machine ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... You can also start a savings account or consider financing through our State Farm Federal Credit ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... You can also start a savings account or consider financing through our State Farm Federal Credit ...

State Farm

Data Scientist

Richardson, TX · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... You can also start a savings account or consider financing through our State Farm Federal Credit ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... You can also start a savings account or consider financing through our State Farm Federal Credit ...

Omniscius Consulting

Data Scientist

Washington, DC · On-site

Department of the Treasury Financial Crimes Enforcement Network (FinCEN) program in Washington, DC. This position will apply advanced data science, statistical modeling, and machine learning ...

Polaris, Inc.

Data Scientist

Plymouth, MN · On-site

$87K - $115K/yr

... focused role, excluding internships and academic coursework. * Demonstrated knowledge of ... Employees receive a generous matching contribution to 401(k), financial wellness education and ...

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Internship Data Scientist Finance information

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$165K

$243.5K

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

As of Sep 1, 2026, the average yearly pay for internship data scientist finance 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 does an internship data scientist in finance do?

An Internship Data Scientist in Finance assists with analyzing large datasets to uncover trends, patterns, and insights that can help financial organizations make better decisions. They typically work with financial data, use programming languages like Python or R, and apply statistical models or machine learning techniques. Interns may also help with data cleaning, visualization, and reporting to support investment strategies, risk assessment, or financial forecasting. This role provides hands-on experience in both data science and the finance industry, helping interns build relevant technical and analytical skills.

What types of projects do internship data scientists in finance typically work on?

As a Data Scientist intern in finance, you can expect to work on projects like building predictive models for credit risk, analyzing large financial datasets to identify market trends, or developing dashboards to visualize key metrics. Interns often collaborate with experienced data scientists, software engineers, and business analysts, gaining exposure to both technical and business aspects of finance. You'll likely use tools such as Python, SQL, and data visualization libraries while learning about financial regulations and industry standards. This hands-on experience is designed to help you develop practical skills that are highly valued in the financial sector.

What are the key skills and qualifications needed to thrive as an internship data scientist in finance?

To thrive as an Internship Data Scientist in Finance, you generally need strong analytical skills, a solid foundation in statistics, and coursework or experience in finance, often supported by progress toward a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools, and experience with financial data platforms are typically expected. Curiosity, problem-solving ability, and effective communication help interns stand out when tackling complex financial datasets and explaining findings to stakeholders. These skills are vital for extracting actionable insights, supporting data-driven decisions, and contributing to the organization's financial objectives.
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Internship Data Scientist Finance jobs near you
Infographic showing various Internship Data Scientist Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Georgia Institute of Technology

Atlanta, GA • On-site

Full-time

Posted 27 days ago

Georgia Tech rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

313th of 627 rated colleges and universities

Job description

About Us
Located in the fastest-growing region of the state, the University of North Georgia is a multi-campus university with an enrollment of over 20,000 students, making it one of the largest institutions in the University System of Georgia. UNG is focused on a mission of educational excellence, leadership development and community engagement opportunities that develop students into leaders for a diverse and global society. Through a variety of educational pathways that provide access and range from certificates and associate degrees to a professional doctoral program, UNG is responsive to regional education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus.
Job Summary
The University of North Georgia is accepting applications for a Data Scientist. The Data Scientist supports the University of North Georgia's strategic priorities by applying advanced statistical analysis, predictive modeling, machine learning, and quantitative research to trusted enterprise data. Working within the UNG NEST, the position develops analytical models and predictive insights that improve strategic decision-making, operational excellence, institutional effectiveness, and student success. The Data Scientist collaborates across the university to solve complex analytical challenges while coordinating and mentoring Data Science interns participating in the Analytics & Innovation Incubator.
Please be advised that any offer of employment is contingent upon your eligibility to work in the United States. The university is aware of recent federal changes that may significantly increase the cost of filing H-1B visa petitions.
As a public institution, the university's ability to cover such costs is subject to budgetary constraints and state funding policies. Therefore, while we remain committed to supporting international faculty hires, we cannot guarantee payment of any newly imposed or increased visa-related fees.
If you have any questions regarding the visa policy, please contact Monica Arrendale at (706) 867-4470.
Responsibilities
  • Advanced Analytics & Predictive Modeling - Develops statistical, predictive, and machine learning models that support enrollment management, student success, retention, graduation, workforce planning, finance, institutional effectiveness, and other strategic initiatives
  • Forecasting & Quantitative Research - Designs and conducts forecasting studies, scenario analyses, and quantitative research using advanced analytical techniques such as regression, classification, clustering, survival analysis, time-series forecasting, optimization, and related methodologies to support strategic planning and executive decision-making.
  • Exploratory Data Analysis & Methodology - Conducts exploratory data analysis to identify patterns, trends, anomalies, and opportunities across institutional data while developing, validating, documenting, and refining analytical methodologies, model assumptions, and research findings to ensure transparency and reproducibility.
  • Institutional Collaboration & Consulting - Collaborates with university leadership, functional offices, Institutional Research, Information Technology, faculty collaborators, and members of Strategic Impact & Engagement to identify analytical opportunities, translate business questions into quantitative solutions, and communicate findings through reports, presentations, and executive briefings.
  • Analytics & Innovation Incubator Leadership - Coordinates and mentors undergraduate and graduate Data Science interns participating in the Analytics & Innovation Incubator by assigning projects, reviewing analytical work, providing technical guidance, and fostering professional development.
  • Innovation & Continuous Improvement - Researches, evaluates, and applies statistical methodologies, machine learning approaches, and artificial intelligence capabilities to strengthen the university's analytical capacity while supporting the continued evolution of the UNG NEST.
  • Professional Development & Other Duties - Maintains current knowledge of developments in data science, higher education analytics, and institutional research through professional development activities and performs other duties as assigned.

Knowledge, Skills, & Abilities
  • Advanced knowledge of statistical analysis, predictive modeling, supervised and unsupervised machine learning, and quantitative research methodologies.
  • Proficiency using analytical programming languages such as Python or R and familiarity with SQL for data analysis.
  • Strong understanding of forecasting, regression, classification, clustering, optimization, survival analysis, and related analytical techniques.
  • Strong analytical reasoning, critical thinking, documentation, and problem-solving skills.
  • Ability to communicate complex analytical findings clearly to technical and non-technical audiences through reports, presentations, and data visualizations.
  • Ability to manage multiple analytical projects while collaborating effectively across multidisciplinary teams.
  • Ability to mentor student researchers and foster professional development within the Analytics & Innovation Incubator.

Required Qualifications
  • Master's degree from an accredited institution in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, Industrial Engineering, Operations Research, Analytics, or a closely related quantitative discipline
  • Minimum 2 years experience applying statistical analysis, predictive modeling, machine learning, and quantitative research techniques within higher education, government, healthcare, business, or a comparable analytical environment.
  • Experience developing analytical models that support strategic decision-making using large, complex datasets.
  • Experience using analytical programming languages such as Python or R and SQL for data analysis.

Preferred Qualifications
  • Preferred: Doctoral degree in a related quantitative discipline.
  • Preferred Qualifications Experience in higher education analytics or institutional research. Experience supporting enrollment management, student success, retention, graduation, finance, workforce planning, or institutional effectiveness initiatives. Experience with Microsoft SQL Server, Power BI, or similar enterprise analytics platforms. Experience mentoring interns, graduate assistants, or junior analysts. Experience applying machine learning and artificial intelligence to solve complex organizational problems. Knowledge of FERPA, data governance principles, and ethical use of institutional data.

Required Documents to Attach
  • Resume
  • Cover Letter
  • Unofficial Transcripts
  • Contact Information for Three Professional References

USG Core Values
The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct .
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 .
Institutional Values
The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of academic excellence in a student-focused environment that includes quality education, service, research, and creativity. This is accomplished through broad access to comprehensive academic and co-curricular programs that develop students into leaders for a diverse and global society. The University of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php
Conditions of Employment
Offers of employment are contingent upon completion of a background investigation including a criminal background check demonstrating your eligibility for employment with the University of North Georgia, as determined by University of North Georgia in its sole discretion, confirmation of the credentials and employment history reflected in your application materials and, if applicable, a satisfactory credit check. Applicants may be subject to a pre-employment drug test.
Equal Employment Opportunity
The University of North Georgia, a unit of the University System of Georgia, is an Affirmative Action/Equal Opportunity employer and does not discriminate on the basis of race, color, gender, sex or national origin, age, disability, religion, genetics or veteran status. Georgia is an open records state. Also, UNG is a federal contractor and desires priority referrals of protected veterans.
Other Information
  • This is not a supervisory position.
  • This position does not have any financial responsibilities.
  • This position will not be required to drive.
  • This role is considered a position of trust.
  • This position does not require a purchasing card (P-Card).
  • This position will not travel
  • This position does not require security clearance.

Please note: the University of North Georgia career board updates daily, positions are subject to be removed without prior notice or before the posting expires.
Background Check
  • Position of Trust + Education

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About Georgia Tech

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Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with great economic and cultural strengths. The Institute is a member of the University System of Georgia, the Georgia Research Alliance, and the Association of American Universities. Georgia Tech prides itself on its technology resources, collaborations, high-quality student body, and its commitment to diversity, equity, and inclusion.

Industry

Education and colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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