Santander

About the Company

Banco Santander (SAN SM, STD US, BNC LN) is a leading commercial bank, founded in 1857 and headquartered in Spain and one of the largest banks in the world by market capitalization. The group’s activities are consolidated into five global businesses: Retail & Commercial Banking, Digital Consumer Bank, Corporate & Investment Banking (CIB), Wealth Management & Insurance and Payments (PagoNxt and Cards). This operating model allows the bank to better leverage its unique combination of global scale and local leadership. Santander aims to be the best open financial services platform providing services to individuals, SMEs, corporates, financial institutions and governments. The bank’s purpose is to help people and businesses prosper in a simple, personal and fair way. Santander is building a more responsible bank and has made a number of commitments to support this objective, including raising €220 billion in green financing between 2019 and 2030. In the first quarter of 2024, Banco Santander had €1.3 trillion in total funds, 166 million customers, 8,400 branches and 211,000 employees.

Listed Jobs

Company Name

Santander

Job Title

IT Application Development Intern

Job Description

Dallas, United states

On site

Fresher

10-11-2025

Company Name

Santander

Job Title

Data & Analytics Intern

Job Description

**Job Title** Data & Analytics Intern **Role Summary** Support the Data & Analytics Center of Excellence in a global financial institution by preparing high‑quality data, building predictive models, and creating dashboards to inform business decisions across consumer and business banking. **Expectations** - Complete internship as part of a Summer Internship Program (June 2026). - Demonstrate independence on projects while collaborating with cross‑functional teams. - Deliver actionable insights through data visualization and reporting. - Maintain rigorous data quality and documentation standards. - Communicate findings effectively to senior stakeholders. **Key Responsibilities** - Engineer and automate data pipelines to ensure integrated, accurate datasets for forecasting and analysis. - Apply statistical and predictive modeling techniques (e.g., regression, time‑series forecasting) to enhance customer targeting and acquisition. - Design and develop visual dashboards and executive reports using BI tools or PowerPoint. - Participate in model validation, performance monitoring, and iterative improvement. - Collaborate with data engineering, analytics, and business teams to translate insights into strategy. **Required Skills** - Strong analytical and problem‑solving abilities. - Excellent written and verbal English communication skills. - Proficiency in SQL for data querying and automation. - Programming experience in Python (data science libraries, Pandas, scikit‑learn). - Advanced Excel skills for data manipulation and presentation. - Ability to manage multiple tasks, meet deadlines, and work independently. - Basic knowledge of forecasting, econometrics, or data modeling concepts (preferred). **Required Education & Certifications** - Current undergraduate or graduate student with expected graduation between Dec 2026 or May/June 2027. - Major in Data Science, Economics, Finance, Statistics, or a related quantitative field. - Cumulative GPA ≥ 3.0. - No mandatory certifications required.

Boston, United states

On site

Fresher

18-11-2025