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Intern Data Scientist Machine Learning Jobs in Columbus, OH

TekLeaders, Inc

Data Scientist

Columbus, OH

Role: Data Scientist Location: Columbus, OH - Only Locals Duration: Long Term Duties and ... Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ...

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... As a Senior Data Scientist you will work with stakeholders throughout the organization to identify ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

Data Scientist Contract to Hire Location - Columbus, OH Summary: Our banking client is seeking a ... Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ...

Deloitte

Data Scientist

Columbus, OH

As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ... Develop and train machine learning models to solve problems such as prediction, classification, and ...

Genesis10

Senior Data Scientist - Onsite

Columbus, OH · On-site

... in machine learning and artificial intelligence to optimize consumer experience and deliver ... analytics or data science • Experience with R, RStudio, Python, SAS, SQL, NoSQL • Direct ...

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All JobsIntern Data Scientist Machine Learning JobsIntern Data Scientist Machine Learning Jobs in Columbus, OH

Intern Data Scientist Machine Learning information

See Columbus, OH salary details

$24.6K

$41.1K

$85K

How much do intern data scientist machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for intern data scientist machine learning in Columbus, OH is $41,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an Intern Data Scientist specializing in Machine Learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an Intern Data Scientist (Machine Learning), and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an Intern Data Scientist in Machine Learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Columbus, OH? The most popular types of Data Scientist Machine Learning jobs in Columbus, OH are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Columbus, OH? For Intern Data Scientist Machine Learning jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Columbus, OH look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Columbus, OH are:
Intern Data Scientist Machine Learning jobs near you
Infographic showing various Intern Data Scientist Machine Learning job openings in Columbus, OH as of June 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $41,131 per year, or $19.8 per hour.
Data Scientist

Data Scientist

Indotronix International Corporation

Columbus, OH • On-site

Full-time

Posted 14 days ago

Job description

Data Scientist | Columbus, Ohio, United States Job Summary: Senior Data Scientist - Enterprise Analytics (Banking)
Location: Columbus, OH (Remote flexibility) | Job Type: C2C
About the Role
Join a high-performing Enterprise Analytics team at a leading banking institution as a Senior Data Scientist. Fuel organizational growth through advanced analytics, data-driven insights, and opportunity discovery. Collaborate with cross-functional teams-including Product, Marketing, Data, Finance, and senior leadership-to optimize customer experience, drive business value, and influence strategic decisions. This is a highly visible role where you will leverage your technical expertise and communication skills to shape business outcomes in a fast-paced, innovative environment.
Responsibilities
- Design and implement advanced analytics and machine learning models to extract actionable insights from complex business data.
- Conduct large-scale experimentation and build data-driven models to answer strategic business questions.
- Research and apply emerging techniques in machine learning, deep learning, and artificial intelligence.
- Collaborate with business segments to identify opportunities for optimization and customer value delivery.
- Translate analytical findings into intuitive data visualizations and persuasive presentations for stakeholders and senior leadership.
- Partner with Agile teams throughout the project lifecycle, from ideation to delivery, on high-impact, enterprise-wide projects.
- Stay current on new technologies and tools to continuously improve analytics capabilities and solutions.
- Perform additional analytics duties as assigned to support organizational goals.
Required Skills and Experience
- Proficiency in Python and SQL for data analysis, modeling, and pipeline development.
- Strong analytical and statistical expertise, comfortable working with predictive models and large datasets.
- Experience communicating technical findings to business partners and non-technical audiences.
- Master's degree (or completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field; OR Bachelor's degree with 3+ years' experience in analytics or data science.
- Hands-on experience with R, RStudio, SAS, and advanced statistical software.
Preferred Skills
- Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference.
- Experience with big data tools, both structured and unstructured data sources, and scalable data pipelines.
- Familiarity with cloud ML technologies (e.g., AWS SageMaker), machine learning environments (e.g., TensorFlow, scikit-learn, caret), and web scraping.
- Background in financial services or consumer-centric organizations.
- Experience with data visualization tools (Tableau, Adobe Analytics/Target).
Benefits
- Work alongside a talented, collaborative, and centralized team of data science professionals.
- Influence strategic decisions and drive growth at an enterprise level.
- Exposure to cutting-edge analytics tools, technologies, and methodologies.
- Fast-paced, dynamic environment with significant opportunities for learning and professional advancement.
- Impactful projects with visibility to senior leadership and cross-functional partners.
How to Apply
If you are passionate about leveraging data to drive business value and ready to make a significant impact, we want to hear from you. Submit your resume highlighting your analytics, modeling, and communication skills. Candidates must be authorized to work without sponsorship. Background check and drug screen required.
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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