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Internship Data Science Trading Jobs in Texas (NOW HIRING)

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... operational trade-offs. * Lead signal development for transportation intelligence products ...

Triumph Financial

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... operational trade-offs. * Lead signal development for transportation intelligence products ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine ... Ability to understand commodity trading/energy sector datasets and business needs * Experience ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Vitol is the world's largest independent energy and commodities trading company, and they are seeking an experienced Software Engineer to join their global data science and machine learning team. The ...

ConocoPhillips

Intern, Trading Analytics 2027

Houston, TX · On-site

$14.25 - $19/hr

Pursuing a Bachelor's degree or higher in Mathematics, Statistics, Economics, Finance, Data Science ... Available for internship start mid-late May 2027 * A minimum of ten (10) continuous weeks ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Company Description Vitol is the world's largest independent energy and commodities trading company ... Translate: Act as a local champion for data science and AI, helping users adopt tools and ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Company Description Vitol is the world's largest independent energy and commodities trading company ... Translate: Act as a local champion for data science and AI, helping users adopt tools and ...

State Farm

Data Scientist

Richardson, TX · Hybrid

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 ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Company Description Vitol is the world's largest independent energy and commodities trading company ... Translate: Act as a local champion for data science and AI, helping users adopt tools and ...

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All JobsData Science Trading JobsInternship Data Science Trading JobsInternship Data Science Trading Jobs in Texas

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.

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Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Re-posted 2 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply