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Internship Python Data Science Jobs in Dunwoody, GA

neptune technologies

Data Scientist

Duluth, GA · On-site

Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

Neptune

Data Scientist

Duluth, GA · On-site

Experience • 3+ years of experience in data science, machine learning, or related analytical roles. • 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

D. is a plus. * 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or ...

4P Consulting Inc

DATA SCIENTIST

Forest Park, GA · On-site

D. is a plus. * 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or ...

4P Consulting Inc

DATA SCIENTIST

Forest Park, GA · On-site

D. is a plus. * 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or ...

Salesforce, Inc.

Data Science Principal

Atlanta, GA · On-site

... data science, such as Python, R, or Scala. Knowledge of workflow orchestration tools like Apache Airflow is highly desirable Strong foundation in statistics, experimentation, causal inference ...

Salesforce

Data Science Principal

Atlanta, GA · On-site

... data science, such as Python, R, or Scala. Knowledge of workflow orchestration tools like Apache Airflow is highly desirable Strong foundation in statistics, experimentation, causal inference ...

4P Consulting Inc

Data Scientist 3 4P/298

Atlanta, GA · On-site

D. in a quantitative discipline * 10-15 years of experience in data science, including leadership roles * Strong programming skills in Python, R, or Julia * Expert in advanced machine learning and ...

4P Consulting Inc

Data Scientist 3 4P/298

Atlanta, GA · On-site

D. in a quantitative discipline * 10-15 years of experience in data science, including leadership roles * Strong programming skills in Python, R, or Julia * Expert in advanced machine learning and ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

... data science, machine learning, and statistical analysis * Proficiency in Python, R, or Julia ... Strong understanding of machine learning algorithms and their applications * Experience with SQL ...

Kaizen Analytix LLC

VP of Data Science

Atlanta, GA · On-site

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and ... Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB * Highly proficient in all Microsoft Office ...

Kaizen Analytix, LLC.

VP of Data Science

Atlanta, GA · On-site

$140 - $180/hr

Coordinate teams of analysts/data scientists/software engineers in performing and implementing high ... Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB. * Highly proficient in all Microsoft Office ...

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Internship Python Data Science information

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How much do internship python data science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for internship python data science in Dunwoody, GA is $22.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.28 per hour, depending on experience, location, and employer.

What is an internship Python data science?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.

What types of projects can I expect to work on during a Python data science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What are the key skills and qualifications needed to thrive as an internship Python data science?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What job categories do people searching Internship Python Data Science jobs in Dunwoody, GA look for?

The top searched job categories for Internship Python Data Science jobs in Dunwoody, GA are:

What cities near Dunwoody, GA are hiring for Internship Python Data Science jobs?

Cities near Dunwoody, GA with the most Internship Python Data Science job openings:

Internship Python Data Science jobs near you

Data Scientist

neptune technologies

Duluth, GA • On-site

Full-time

Re-posted 19 days ago

Job description

Position Summary

As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform. This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production. You will work closely with senior data scientists, software engineers, and Product Management to translate business requirements into actionable insights and ML capabilities. This role offers the opportunity to grow your skills in production ML, cloud technologies, and contribute directly to water conservation and utility operational improvements.

Responsibilities
• Collaborate with team members to develop and deploy machine learning models and data science solutions.
• Work with Product Management to understand requirements and translate them into analytical approaches.
• Build machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
• Analyze large-scale time-series data from IoT devices and water utility operations.
• Develop data processing workflows using Python, SQL, and distributed computing frameworks.
• Conduct exploratory data analysis to identify patterns, trends, and insights in utility data.
• Perform feature engineering and model experimentation to improve predictive performance.
• Create data visualizations and reports to communicate findings to stakeholders.
• Implement data quality checks and validation procedures for analytical pipelines.
• Collaborate with software engineers to integrate ML models into Neptune 360 platform.
• Monitor model performance and contribute to maintenance of production ML systems.
• Document analytical methodologies, code, and model implementations.
• Participate in code reviews and follow data science best practices.
• Work with cloud-based data infrastructure and ML tools (AWS preferred).
• Stay current with developments in machine learning and data science techniques.
• Participate in sprint planning and demonstrate completed work at the end of every iteration.
• Support senior data scientists with complex analytical projects.
• Continuously develop technical skills through self-directed learning and training.

Experience

• 3+ years of experience in data science, machine learning, or related analytical roles.
• 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn).
• Strong experience with SQL and relational databases.
• Experience building and evaluating machine learning models.
• Understanding of statistical analysis and experimental design principles.
• Experience with data visualization tools and techniques.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with version control systems (Git).
• Understanding of software development best practices.
• Ability to work in Agile/iterative development environments.
• Strong problem-solving skills and attention to detail.
• Ability to communicate technical concepts clearly to both technical and non-technical
audiences.
• Demonstrated ability to learn new technologies and tools quickly.
• Continued professional development through courses, certifications, or projects.
• Preferred: Experience with PySpark or distributed computing frameworks.
• Preferred: Experience with time-series analysis and forecasting.
• Preferred: Experience with AWS services (SageMaker, Lambda, S3, Redshift).
• Preferred: Experience with deep learning frameworks (TensorFlow, PyTorch).
• Preferred: Experience deploying models to production environments.
• Preferred: Experience with IoT data or utility operations.

Education
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or
related quantitative field, or combination of education and equivalent experience.

Location: Duluth, GA

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