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Internship Machine Learning Quant Jobs in Hickory, NC

Internship Machine Learning Quant information

See Hickory, NC salary details

$22.8K

$38.1K

$78.8K

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

As of Sep 4, 2026, the average yearly pay for internship machine learning quant in Hickory, NC is $38,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,100.00 and $41,200.00 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 cities near Hickory, NC are hiring for Internship Machine Learning Quant jobs?

Cities near Hickory, NC with the most Internship Machine Learning Quant job openings:

Infographic showing various Internship Machine Learning Quant job openings in Hickory, NC as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $38,126 per year, or $18.3 per hour.

Senior Data Science/ Analytics Consultant

Transportation Insight

Hickory, NC • On-site

Other

Posted 5 days ago


Key responsibilities

  • Act as a cross functional consultant on data science and data analytics efforts across the enterprise.

  • Identify appropriate analytical tools and methods, perform quantitative analyses and predictive modeling, and communicate results to business partners.

  • Lead strategy development for data and analytics products to ensure organization-wide adoption.


Transportation Insight rating

7.3

Company rating: 7.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Position:Senior Data Science/ Analytics Consultant

Location: Hickory, NC or Kansas City, MO

Job Id:46SDS

# of Openings:1

Job Title: Senior Data Science/Analytics Consultant

JOB PURPOSE:

The Senior Data Science/Analytics Consultant is responsible for the full stack of data analytics, from querying or procuring data, cleaning data, feature generation, problem formulation, error/success metric choice, machine learning/predictive model building, and translation of results into business action. This role will help advanced Transportation Insight’s data strategy and data-related business decision making. The Sr. Consultant will be expected to wear multiple hats, seek out new opportunities from the business and apply technology to solve a variety of data problems across our organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Act as a cross functional consultant on data science, data analytics related efforts that span the enterprise.
  • Identifies appropriate analytical tools and methods; uses advanced knowledge of business analysis to perform quantitative analyses and predictive modeling
  • Be able to communicate and explain the results of more technical analyses to business partners in a digestible, visual fashion
  • Lead strategy development for data and analytics products to ensure the program becomes pervasive throughout the organization.
  • Develop a high performing team focused on building strong analytical, data strategy, research and business skill sets while sustaining leading employee engagement and retention.
  • Be a stakeholder in developing and maturing the Data Science strategy
PERFORMANCE METRICS:
  • Deliver solutions according to the delivery schedule
  • Design and architect complete end-to-end DS solutions
  • Continuous improvement on predictive and machine learning models
  • Conform to industry standards for quality and effective data visualization and reporting
JOB REQUIREMENTS:
  • Qualified applicants should have a Bachelor’s degree in Computer Science, Information Science or related field; equivalent work experience and aptitude is acceptable in place of degree
  • Experienced with Data Science practices and tools, such as Alteryx, R, Python, Gurobi
  • Familiar with 3PL business and supply chain concepts
  • Experience with ETL design and data warehousing concepts
  • 5+ years with reporting / analytic tools such as Tableau or Cognos
  • Experience withOracle, MySQL and/or MS SQL Server and SQL query language required
  • Experience with CRM tools like Salesforce
  • Possess excellent communication and presentation skills required
  • Strong Work Ethic
**MAY PERFORM OTHER DUTIES AS ASSIGNED** WORK ENVIRONMENT:

Standard office environment, usually indoors away from the elements with moderate noise. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

PHYSICAL EFFORT:

  • Maintain a stationary position for extended periods; move about the office, operate computers and files, as needed; and frequently communicate with others. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit and talk or hear. The employee is required to stand, walk, and reach with hands and arms.Occasionally, the employee is required to lift boxes up to 20 pounds.
SCHEDULING:
  • This is a full-time benefits-eligible position, working Monday through Friday; 8:00 a.m. – 5:00 p.m. An employee in this position must be available to work occasionally on weekends and evenings, during peak periods.
TRAVEL:
  • Local travel is required. Out of state travel is limited, but may be required for special projects , training, and conferences.
DISCLAIMER:

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required.

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