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Internship Machine Learning Quant Jobs in Columbus, OH

Master's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Preferred * 7-9 years Experience in data science, machine learning ...

Master's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Preferred * 7-9 years Experience in data science, machine learning ...

Showing results 21-40

Internship Machine Learning Quant information

See Columbus, OH salary details

$24.6K

$41.1K

$85K

How much do internship machine learning quant jobs pay per year?

As of Aug 23, 2026, the average yearly pay for internship machine learning quant 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 is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Columbus, OH?

The most popular types of Machine Learning Quant jobs in Columbus, OH are:

What are popular job titles related to Internship Machine Learning Quant jobs in Columbus, OH?

For Internship Machine Learning Quant jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Quant jobs in Columbus, OH look for?

The top searched job categories for Internship Machine Learning Quant jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Internship Machine Learning Quant jobs?

Cities near Columbus, OH with the most Internship Machine Learning Quant job openings:

Data Science Manager II - Digital Partnerships

Jobtailor

Columbus, OH • On-site

$150 - $200/hr

Other

Posted 5 days ago


Job description

Responsibilities
  • Own the performance, growth, and profitability of Root's digital partnerships portfolio.
  • Lead a team of quantitative scientists responsible for experimentation, forecasting, optimization, and partner performance management.
  • Develop strategies that improve customer acquisition economics through pricing, underwriting, partner integrations, and commercial levers.
  • Build rigorous measurement frameworks that quantify incrementality, partner value, and business impact.
  • Partner with Business Development, Product, Engineering, Pricing, Underwriting, and Finance to identify and execute high‑impact opportunities.
  • Influence product and technical roadmaps to improve partner performance and operational scalability.
  • Deliver executive‑level reporting, forecasts, and strategic recommendations to senior leadership.
  • Establish scalable operating processes that enable sustainable growth across the channel.
Requirements
  • Advanced degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or another quantitative discipline
  • 7+ years of experience applying quantitative methods to complex business problems
  • 2+ years of people leadership experience, including managing and developing technical talent
  • Demonstrated ability to translate ambiguous business challenges into analytical frameworks, strategic recommendations, and measurable outcomes
  • Experience leading experimentation, forecasting, optimization, or machine learning initiatives in production environments
  • Strong business judgment and comfort making decisions under uncertainty
  • Excellent written and verbal communication skills, including experience influencing senior stakeholders
  • Strong ownership mindset with a track record of driving initiatives from concept through execution.
  • Nice to Have: Experience owning or influencing P&L outcomes; Experience in insurance, financial services, marketplaces, or customer acquisition; Familiarity with attribution, incrementality measurement, or partner optimization; Experience working closely with pricing, underwriting, or risk management organizations; PhD in a quantitative discipline.

Demonstrates expertise in quantitative analysis, strategic decision-making, and team leadership to drive performance and profitability in digital partnerships. Proficient in developing measurement frameworks and executing high‑impact initiatives across various business functions.

Highest‑signal resume keywords
  • Quantitative Analysis
  • People Leadership
  • Experimentation and Forecasting
  • Strategic Recommendations
  • Business Judgment
ATS Optimization KeywordsHard Skills
  • Statistical Analysis
  • Optimization Techniques
  • Machine Learning
  • Data Analysis
  • Forecasting Methods
  • Pricing Strategies
  • Underwriting Principles
  • Incrementality Measurement
  • Analytical Framework Development
  • Performance Management
Soft Skills
  • Excellent Communication
  • Influencing Stakeholders
  • Ownership Mindset
  • Decision-Making Under Uncertainty
  • Team Development
Certifications & Qualifications
  • Advanced Degree in Statistics
  • Advanced Degree in Economics
  • Advanced Degree in Mathematics
  • Advanced Degree in Computer Science
  • Advanced Degree in Engineering
Industry Keywords
  • Digital Partnerships
  • Customer Acquisition
  • P&L Management
  • Insurance
  • Financial Services
  • Marketplaces
  • Risk Management
  • Attribution
  • Partner Optimization
  • Commercial Levers
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