Intern - Data Science
GM Financial · Fort Worth, TX · 1 mo ago
HybridEngineeringFull-time
We need to output HTML fragment with headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Remove boilerplate, navigation, legal, EEO, etc. Also remove duplicated lines. Must preserve all substantive info.
We need to parse the job description.
Let's extract sections:
- "Why GM Financial?" is intro paragraph about company. Could be "About the role"? Actually "About the role" is typical heading. The intro about company could be placed under "About the role" maybe. But we need to decide.
The posting includes: "Job Description Why GM Financial? ..." then "Responsibilities About this role: ..." then "In This Role You Will ..." then "Qualifications What makes You an ideal candidate?" then "Additional Knowledge And Skills" then "Work Experience And Education" then "Our program offers 11 weeks of work experience (May 26- August 6, 2027)" then bullet list of benefits? Actually after that: "Executive and peer networking opportunities Independent and team project experiences Philanthropic activities Career development Opportunity to apply for full-time career positions Our Culture: ..." then "Work Life Balance: Flexible hybrid work environment, 2-days a week in office." Then immigration note.
We need to map to sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
We have:
- About the role: could include company description and role overview. The "Why GM Financial?" and maybe the first paragraph about role. We'll include that.
- Responsibilities: The bullet list under "In This Role You Will" and earlier "Responsibilities About this role:" etc. We'll combine.
- Requirements: maybe the qualifications like GPA, student status, etc. Could be "Work Experience And Education". Also "Must be a current student..." etc.
- Qualifications: maybe the "Additional Knowledge And Skills" about AI tools.
- Skills: maybe the "Strong written and verbal communication skills", "Strong analytical, quantitative, problem solving, and conceptual skills", etc. Could be separate.
But we need to avoid duplication and filler. We'll decide to have sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Schedule. Possibly Requirements not needed if covered elsewhere.
But we must follow instruction: Use headings only when posting has real specific content. So we need to see if there is content for each.
Let's extract substantive content:
Company description: "GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Our Purpose: We pioneer the innovations that move and connect people to what matters."
Role overview: "The Data Science Intern supports data-driven decision making by conducting research, analyzing complex datasets, and developing statistical and machine learning models to identify trends, improve operations, and solve business challenges. This role assists with forecasting, optimization, and data mining initiatives while gaining hands-on experience with advanced analytics techniques and tools. The intern also prepares reports and presentations, evaluates key business metrics, and communicates insights and recommendations to stakeholders. This position provides valuable exposure to data science methodologies, predictive modeling, and the practical application of analytics to business strategy and decision-making."
Responsibilities detailed: list under "In This Role You Will": many bullet-like sentences. Let's extract each as list item.
- Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets (some redundancy). We'll keep as one.
- Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms
- Summarizing, reporting, and providing polished presentations to business leaders
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations, and effectively communicating to leadership the impact to the business
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Ensures that the delivered products meet the business needs of the company
- Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
We can combine similar items but keep substance.
Qualifications: "What makes You an ideal candidate? Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders. Strong analytical, quantitative, problem solving, and conceptual skills required. Must be detail oriented and able to prioritize tasks to meet deadlines. Must be able to work independently or in a team setting."
Additional Knowledge And Skills: "Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work Skills in evaluating AI outputs for accuracy, compliance, and bias Experience integrating AI into workflows to improve efficiency or insights Familiarity with AI assisted research, summarization, and content generation Understanding of responsible AI use, including ethics and data protection"
Work Experience And Education: "Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship. Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA. Previous internships are considered a plus. Junior, Senior, or Masters classification preferred"
Program details: "Our program offers 11 weeks of work experience (May 26- August 6, 2027) Executive and peer networking opportunities Independent and team project experiences Philanthropic activities Career development Opportunity to apply for full-time career positions"
Culture: "Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive."
Work Life Balance: "Flexible hybrid work environment, 2-days a week in office."
Immigration note: remove.
Pay: Not mentioned. So we should NOT include Pay section.
Schedule: Not explicitly mentioned besides program dates and hybrid schedule. Could treat schedule as "Flexible hybrid work environment, 2-days a week in office." That's schedule info. Also program dates: 11 weeks May 26-August 6, 2027. That's schedule. So we can include Schedule section with those details.
Benefits: The list after program offers: "Executive and peer networking opportunities Independent and team project experiences Philanthropic activities Career development Opportunity to apply for full-time career positions". Those are benefits. Also maybe "Work Life Balance" could be benefit but we already have schedule. We'll include Benefits section with those items.
Now we need to decide headings: About the role, Responsibilities, Qualifications, Skills, Benefits, Schedule. Possibly also Requirements? But we have qualifications covering education etc. Could treat "Qualifications" as education and GPA etc. And "Skills" as communication, analytical, AI skills. We'll split.
Let's map:
- About the role: company description + role overview (first two paragraphs). Could combine.
- Responsibilities: list of duties.
- Qualifications: education requirements (student, GPA, major, classification). Could also include "Previous internships are a plus". We'll put there.
- Skills: communication, analytical, problem solving, detail oriented, teamwork, AI skills.
- Benefits: program length, networking, projects, philanthropy, career development, full-time opportunity.
- Schedule: flexible hybrid 2 days/week, program dates (May 26-August 6, 2027, 11 weeks).
We must not include filler like "commensurate with experience". Not present.
Now produce HTML:
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Remove boilerplate, navigation, legal, EEO, etc. Also remove duplicated lines. Must preserve all substantive info.
We need to parse the job description.
Let's extract sections:
- "Why GM Financial?" is intro paragraph about company. Could be "About the role"? Actually "About the role" is typical heading. The intro about company could be placed under "About the role" maybe. But we need to decide.
The posting includes: "Job Description Why GM Financial? ..." then "Responsibilities About this role: ..." then "In This Role You Will ..." then "Qualifications What makes You an ideal candidate?" then "Additional Knowledge And Skills" then "Work Experience And Education" then "Our program offers 11 weeks of work experience (May 26- August 6, 2027)" then bullet list of benefits? Actually after that: "Executive and peer networking opportunities Independent and team project experiences Philanthropic activities Career development Opportunity to apply for full-time career positions Our Culture: ..." then "Work Life Balance: Flexible hybrid work environment, 2-days a week in office." Then immigration note.
We need to map to sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
We have:
- About the role: could include company description and role overview. The "Why GM Financial?" and maybe the first paragraph about role. We'll include that.
- Responsibilities: The bullet list under "In This Role You Will" and earlier "Responsibilities About this role:" etc. We'll combine.
- Requirements: maybe the qualifications like GPA, student status, etc. Could be "Work Experience And Education". Also "Must be a current student..." etc.
- Qualifications: maybe the "Additional Knowledge And Skills" about AI tools.
- Skills: maybe the "Strong written and verbal communication skills", "Strong analytical, quantitative, problem solving, and conceptual skills", etc. Could be separate.
But we need to avoid duplication and filler. We'll decide to have sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Schedule. Possibly Requirements not needed if covered elsewhere.
But we must follow instruction: Use headings only when posting has real specific content. So we need to see if there is content for each.
Let's extract substantive content:
Company description: "GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Our Purpose: We pioneer the innovations that move and connect people to what matters."
Role overview: "The Data Science Intern supports data-driven decision making by conducting research, analyzing complex datasets, and developing statistical and machine learning models to identify trends, improve operations, and solve business challenges. This role assists with forecasting, optimization, and data mining initiatives while gaining hands-on experience with advanced analytics techniques and tools. The intern also prepares reports and presentations, evaluates key business metrics, and communicates insights and recommendations to stakeholders. This position provides valuable exposure to data science methodologies, predictive modeling, and the practical application of analytics to business strategy and decision-making."
Responsibilities detailed: list under "In This Role You Will": many bullet-like sentences. Let's extract each as list item.
- Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets (some redundancy). We'll keep as one.
- Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms
- Summarizing, reporting, and providing polished presentations to business leaders
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations, and effectively communicating to leadership the impact to the business
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Ensures that the delivered products meet the business needs of the company
- Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
We can combine similar items but keep substance.
Qualifications: "What makes You an ideal candidate? Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders. Strong analytical, quantitative, problem solving, and conceptual skills required. Must be detail oriented and able to prioritize tasks to meet deadlines. Must be able to work independently or in a team setting."
Additional Knowledge And Skills: "Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work Skills in evaluating AI outputs for accuracy, compliance, and bias Experience integrating AI into workflows to improve efficiency or insights Familiarity with AI assisted research, summarization, and content generation Understanding of responsible AI use, including ethics and data protection"
Work Experience And Education: "Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship. Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA. Previous internships are considered a plus. Junior, Senior, or Masters classification preferred"
Program details: "Our program offers 11 weeks of work experience (May 26- August 6, 2027) Executive and peer networking opportunities Independent and team project experiences Philanthropic activities Career development Opportunity to apply for full-time career positions"
Culture: "Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive."
Work Life Balance: "Flexible hybrid work environment, 2-days a week in office."
Immigration note: remove.
Pay: Not mentioned. So we should NOT include Pay section.
Schedule: Not explicitly mentioned besides program dates and hybrid schedule. Could treat schedule as "Flexible hybrid work environment, 2-days a week in office." That's schedule info. Also program dates: 11 weeks May 26-August 6, 2027. That's schedule. So we can include Schedule section with those details.
Benefits: The list after program offers: "Executive and peer networking opportunities Independent and team project experiences Philanthropic activities Career development Opportunity to apply for full-time career positions". Those are benefits. Also maybe "Work Life Balance" could be benefit but we already have schedule. We'll include Benefits section with those items.
Now we need to decide headings: About the role, Responsibilities, Qualifications, Skills, Benefits, Schedule. Possibly also Requirements? But we have qualifications covering education etc. Could treat "Qualifications" as education and GPA etc. And "Skills" as communication, analytical, AI skills. We'll split.
Let's map:
- About the role: company description + role overview (first two paragraphs). Could combine.
- Responsibilities: list of duties.
- Qualifications: education requirements (student, GPA, major, classification). Could also include "Previous internships are a plus". We'll put there.
- Skills: communication, analytical, problem solving, detail oriented, teamwork, AI skills.
- Benefits: program length, networking, projects, philanthropy, career development, full-time opportunity.
- Schedule: flexible hybrid 2 days/week, program dates (May 26-August 6, 2027, 11 weeks).
We must not include filler like "commensurate with experience". Not present.
Now produce HTML: About the role
then
...
. For lists use- .
We must not include any extra markup like etc.
Let's craft.
About the role paragraph: combine company description and role overview.
Company description: "GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Our Purpose: We pioneer the innovations that move and connect people to what matters."
Role overview: "The Data Science Intern supports data-driven decision making by conducting research, analyzing complex datasets, and developing statistical and machine learning models to identify trends, improve operations, and solve business challenges. This role assists with forecasting, optimization, and data mining initiatives while gaining hands-on experience with advanced analytics techniques and tools. The intern also prepares reports and presentations, evaluates key business metrics, and communicates insights and recommendations to stakeholders. This position provides valuable exposure to data science methodologies, predictive modeling, and the practical application of analytics to business strategy and decision-making."
We can combine into one paragraph or two. Probably one paragraph is fine.
Now Responsibilities: list items.
We'll produce
- each. We need to ensure we don't duplicate. Let's list concise items: - Modeling with expertise in forecasting, optimization, data mining, and analysis of complex datasets - Conducting studies using descriptive and supervised machine learning methods and advanced statistical methods with innovative techniques and algorithms - Summarizing, reporting, and providing polished presentations to business leaders - Performing research, analysis, and modeling on organizational data - Assisting in analyzing key metrics and performing data analysis - Building technical knowledge to support research and analytic responsibilities, including advanced techniques and algorithms - Conducting research projects: incorporating project design, data collection and analysis, summarizing findings, developing recommendations, and communicating impact to leadership - Developing and applying algorithms or models to key business metrics to improve operations or answer business questions - Ensuring delivered products meet business needs - Partnering with business leadership to recommend appropriate application of analytics to business strategies and communicating analysis and implications to senior leadership Now Qualifications (education): list. - Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, or Statistics, with at least one semester remaining upon start of the internship - Must possess a minimum overall GPA of 3.0 on a 4.0 scale - Previous internships are considered a plus - Junior, Senior, or Masters classification preferred Now Skills: list. - Strong written and verbal communication skills, including ability to give presentations to business leaders - Strong analytical, quantitative, problem-solving, and conceptual skills - Detail-oriented with ability to prioritize tasks to meet deadlines - Ability to work independently or in a team setting - Ability to use AI tools (e.g., Microsoft Copilot) to support daily work - Skills in evaluating AI outputs for accuracy, compliance, and bias - Experience integrating AI into workflows to improve efficiency or insights - Familiarity with AI-assisted research, summarization, and content generation - Understanding of responsible AI use, including ethics and data protection Now Benefits: list. - 11-week work experience (May 26 – August 6, 2027) - Executive and