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Internship Data Science Trading Jobs in Georgia (NOW HIRING)

... data science, analytics, machine learning, or a related field, including internships, research ... Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... data science, analytics, machine learning, or a related field, including internships, research ... Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

ET-D&AI provides data science support to internal business partners across State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

... and trade communications hold the keys to uncovering misconduct and risk. The role will involve ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

You will own ML projects end-to-end-the science and the engineering. A Day in the Life * Research ... Communicate findings, model behavior, trade-offs, and recommendations clearly to both technical and ...

... sizes across trade, association, corporate, and government markets. We're looking for a Data ... Bachelor's degree in Computer Science, Statistics, Data Science, Machine Learning, or related ...

You will own ML projects end-to-end--the science and the engineering. A Day in the Life * Research ... Communicate findings, model behavior, trade-offs, and recommendations clearly to both technical and ...

Participate in the continuous improvement of data science and analytics by developing replicable ... Prior experience in B2B e-commerce, supply chain, or trade-related data is a significant plus.

Translate business objectives into data science solutions that improve customer acquisition ... Strong analytical storytelling skills with the ability to explain model outcomes, trade-offs, and ...

Translate business objectives into data science solutions that improve customer acquisition ... Strong analytical storytelling skills with the ability to explain model outcomes, trade-offs, and ...

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Partner in development of scalable solutions using large datasets with other data scientists on the ...

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Internship Data Science Trading information

What is the difference between Internship Data Science Trading vs Data Analyst?

AspectInternship Data Science TradingData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in data-related field, analytical skills, proficiency in data tools
Work EnvironmentFinancial firms, trading floors, collaborative teamsVarious industries, offices, cross-functional teams
Employer & Industry UsageFinance, trading firms, investment banksMultiple sectors including finance, marketing, healthcare

Internship Data Science Trading focuses on applying data science skills to trading strategies within financial firms, often involving real-time data analysis. Data Analysts work across industries analyzing data to inform business decisions. While both roles require analytical skills and familiarity with data tools, internships are more training-oriented, whereas Data Analysts are more experienced roles in data interpretation and reporting.

What are the most commonly searched types of Data Science Trading jobs in Georgia? The most popular types of Data Science Trading jobs in Georgia are:
What cities in Georgia are hiring for Internship Data Science Trading jobs? Cities in Georgia with the most Internship Data Science Trading job openings:
Data Scientist

$95K - $110K/yr

Full-time

Posted 3 days ago


Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
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.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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