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GM Financial
GM Financial
5 001 – 10 000 Darbuotojai
Automobilių pramonėKonsultavimasLogistika
GM Financial yra „General Motors“ patronuojamoji automobilių finansavimo įmonė, teikianti finansavimo ir lizingo sprendimus vartotojams, prekybos atstovybėms, verslo klientams ir transporto parkams. Jos paslaugos apima transporto priemonių finansavimą, lizingo valdymą, išankstinę kvalifikaciją, sąskaitų ir mobiliųjų mokėjimų įrankius, elektromobilių finansavimą, pagalbą baigiantis lizingo laikotarpiui, komercinį skolinimą, transporto parkų sprendimus ir investuotojams skirtus produktus. Įmonė savo vartotojų ir komercinėje veikloje derina automobilių pramonės, finansinių paslaugų ir verslo skolinimo kompetenciją.
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Darbai įmonėje

Pricing Analytics and Product Development Intern

Support GM Financial’s North American auto finance products through pricing analytics, data management, subvention program analysis, and business presentations.

USJungtinės ValstijosTXTeksasasHibridinisPraktikaPradinis lygisPrivaloma Kalba: anglųDuomenų mokslininkas

Aprašymas

  • Manage, analyze, and report on pricing data for North American loan and lease products
  • Assist with subvention partner invoicing and maintain program, collateral, and credit data
  • Analyze data to assess its effects on business operations
  • Complete ad hoc research projects, from planning and data collection through analysis, findings summaries, and presentations
  • Collaborate with multiple departments to advance company objectives
  • Complete additional duties as assigned
  • Follow company policies and procedures

Reikalavimai

  • Currently pursuing a bachelor’s degree or higher at an accredited college or university in Finance, Economics, Mathematics, Data Analytics, or another business-related field
  • Have at least one semester remaining when the internship begins
  • Maintain a minimum 3.0 overall GPA on a 4.0 scale
  • Demonstrate strong written and verbal communication skills
  • Present effectively and communicate with business leaders
  • Apply strong analytical, quantitative, problem-solving, and conceptual abilities
  • Maintain close attention to detail and prioritize work to meet deadlines
  • Work effectively both independently and as part of a team
  • Use AI tools such as Microsoft Copilot
  • Assess AI-generated outputs for accuracy, compliance, and bias
  • Integrate AI into workflows to improve efficiency or generate insights
  • Understand AI-assisted research, summarization, and content-generation tools
  • Apply responsible AI practices, including ethics and data protection
  • This role does not provide immigration-related sponsorship
  • Senior classification and Excel proficiency are preferred; prior internships are advantageous

Privalumai

  • Paid internship opportunity
  • Networking with executives and peers
  • Independent and collaborative project experience
  • Participation in philanthropic activities
  • Career development opportunities
  • Potential to pursue full-time career roles
  • Flexible hybrid work arrangement
  • Competitive compensation

Susiję darbai

Nestle

Nestlé Trade Marketing Intern, NESCAFÉ Dolce Gusto

Nestle
5 001 – 10 000 Darbuotojai
H1B vizos rėmėjasGamybaLogistikaMaistas ir gėrimai
FRPrancūzija
1 200 € – 1 500 € / mėnuo
HibridinisPraktikaPradinis lygisDiplomas nebūtinasPrivaloma Kalba: anglųPrivaloma Kalba: prancūzųRinkodara

Internship focused on market analysis and sales growth for Nestlé’s NESCAFÉ Dolce Gusto coffee machines. Coordinate campaigns, in-store activations, and point-of-sale communications.

Atidaryti
Daimler Truck North America

Data Science Intern — Daimler Truck North America (Portland, Hybrid)

Daimler Truck North America
H1B vizos rėmėjasAutomobilių pramonėLogistikaTransportas
USJungtinės ValstijosOROregonas
21 $ – 29 $ / valanda
HibridinisVisas etatasPradinis lygisPrivaloma Kalba: anglųDuomenų mokslininkas
IoTPythonSQL

Apply Python, statistics, and AI to high-volume vehicle and IoT data at Daimler Truck North America. Build analytics, visualizations, and predictive solutions supporting future vehicle technology.

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