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Internship Data Scientist Graduate Jobs in Georgia

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

State Farm

Data Scientist

Dunwoody, GA · Hybrid

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

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience working in a data science/analyticsenvironment. * PhD inMathematics,Statistics,Engineering, or ...

Kemper

Data Scientist

Alpharetta, GA · Hybrid

Graduate degree required in a quantitative field: Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc. * 2+ years' experience in a data science/ predictive analytics ...

State Farm

Lead Data Scientist - Gen AI

Dunwoody, GA · 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 ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA

Take accountability and ownership of end-to-end data science solution design, technical delivery ... Four years of relevant work experience if candidate lacks graduate degree * Previous experience in ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

Take accountability and ownership of end-to-end data science solution design, technical delivery ... Four years of relevant work experience if candidate lacks graduate degree * Previous experience in ...

Truist

Decision Scientist II

Atlanta, GA · On-site

... data-driven decisions with an objective of driving quantifiable, optimized business results in ... graduate degree General Description of Available Benefits for Eligible Employees of Truist ...

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Internship Data Scientist Graduate information

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 are the key skills and qualifications needed to thrive as an internship data scientist graduate?

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.

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 most commonly searched types of Data Scientist Graduate jobs in Georgia?

The most popular types of Data Scientist Graduate jobs in Georgia are:

What are popular job titles related to Internship Data Scientist Graduate jobs in Georgia?

For Internship Data Scientist Graduate jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Internship Data Scientist Graduate jobs in Georgia look for?

The top searched job categories for Internship Data Scientist Graduate jobs in Georgia are:

Internship Data Scientist Graduate jobs near you

Data Scientist

University of North Georgia

Dahlonega, GA • On-site

Full-time

Posted 18 days ago

University Of North Georgia rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

501st of 622 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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