1

Internship Bank Data Scientist Jobs in Indiana (NOW HIRING)

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

... Data Scientists, Software Engineers, Architects and Business Leaders to solve real-world challenges ... Most internships expose you to one team. This experience exposes you to real business problems.

New

STAR Financial Bank is an Indiana-based community bank known for its culture of delivering quality ... Lead, coach, and develop a team of 2 to 5 data analysts, data scientists, BI developers, and ...

STAR Financial Bank is an Indiana-based community bank known for its culture of delivering quality ... Lead, coach, and develop a team of 2 to 5 data analysts, data scientists, BI developers, and ...

Showing results 21-40

Internship Bank Data Scientist information

What does an internship bank data scientist do?

An Internship Bank Data Scientist assists banking organizations in analyzing large sets of financial data to uncover trends, improve decision-making, and enhance services. Their work typically involves cleaning and preparing data, applying statistical models, and creating visualizations to communicate insights. Interns often collaborate with senior data scientists and other departments to support projects related to risk assessment, fraud detection, and customer analytics. This role provides hands-on experience with industry-standard tools and real-world banking data, offering valuable exposure to the field.

What types of projects does an internship bank data scientist typically work on, and how do these projects contribute to the bank's objectives?

Internship Bank Data Scientists often work on projects involving data analysis, predictive modeling, and process automation to support departments like risk management, marketing, and customer analytics. These projects might include developing models to detect fraudulent transactions, segmenting customers for targeted offers, or optimizing internal workflows. Interns collaborate closely with senior data scientists, analysts, and IT teams, gaining exposure to real-world banking datasets and tools. The work completed by interns not only contributes to the bank’s data-driven decision making but also provides valuable, hands-on experience that can lead to future full-time opportunities.

What are the key skills and qualifications needed to thrive as an internship bank data scientist, and why are they important?

To thrive as an Internship Bank Data Scientist, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau), SQL databases, and machine learning libraries is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and convey insights to non-technical stakeholders. These skills are crucial for transforming complex data into actionable strategies that support banking operations and decision-making.

What is the difference between Internship Bank Data Scientist vs Data Analyst?

AspectInternship Bank Data ScientistData Analyst
Required CredentialsTypically pursuing or holding a degree in Data Science, Statistics, or related fieldsOften holds a degree in Data Analysis, Statistics, or related fields
Work EnvironmentInternship setting within financial institutions or banks, focusing on data modeling and analysisVaries from finance to marketing, working with data visualization and reporting
Employer & Industry UsageUsed by banks and financial firms for data-driven decision making during internshipsCommon across industries for interpreting data and supporting business decisions

The Internship Bank Data Scientist role is an entry-level position focused on developing data science skills within banking environments, often as part of an internship program. In contrast, Data Analysts typically work across various industries, focusing on data interpretation and reporting. While both roles require analytical skills and familiarity with data tools, the Data Scientist role emphasizes modeling and machine learning, whereas Data Analysts focus more on data visualization and descriptive analysis.

What are the most commonly searched types of Bank Data Scientist jobs in Indiana?

The most popular types of Bank Data Scientist jobs in Indiana are:

What are popular job titles related to Internship Bank Data Scientist jobs in Indiana?

For Internship Bank Data Scientist jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Internship Bank Data Scientist jobs?

Cities in Indiana with the most Internship Bank Data Scientist job openings:

Data Engineer

Michelin

Woodburn, IN • On-site

$102K - $123K/yr

Full-time

Re-posted 20 days ago


Job description

Data Engineer
Build a Career That Matters with One of the World's Most Respected Employers!
- - - - - - - - - - - -
This opportunity is in Woodburn, Indiana in our BF Goodrich tire plant. Woodburn is a small town located about 30 minutes east of Fort Wayne, IN. Fort Wayne is the cultural and economic center of northeastern Indiana and the second largest city in Indiana. Established in 1961, our plant makes passenger and light truck tires.
THE OPPORTUNITY
Michelin has an immediate opening for a Data Engineer who will help us build, develop, maintain and support data and analytics systems. Enjoy the best of both worlds working autonomously while staying closely connected to a collaborative, encouraging team. Our team is built on strong engagement, where team celebrations, recognition, and shared successes build a positive and motivating environment where people genuinely enjoy working together. Michelin's purpose is to support to everyone's right to move freely to find their better way forward. If respect for people, teamwork and trust are some values you live by, you should consider joining us, the Worldwide leader in Tires!
WHAT WILL YOU DO
  • Develop, build, maintain, and support scalable data systems and pipelines that enable reliable analytics and reporting.
  • Collect data from different sources and automate its ingestion, cleaning, structuring, and enrichment for business use.
  • Analyze needs expressed by key business resources and document solutions that align with the Michelin Group's requirements in terms of security, reliability, and confidentiality.
  • Ensures data quality, performance, security, and compliance with data governance guidelines.
  • Collaborate with data analysts, business analysts, and data scientists to understand requirements, and deliver effective design solutions.
  • Deploy and optimize data pipelines to ensure efficient, secure, and consistent data flow aligned with architectural standards.
  • Diagnose and resolve data issues and provide technical support to data teams to ensure smooth operations.

WHAT WILL YOU BRING
  • Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience. This can include internship, Co-op, apprentices, military service, or similar programs.
  • BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or equivalent experience, is preferred.
  • Proficiency in the use of OSI or AVEVA PI systems is a plus.
  • Ability to set priorities, work independently, and consistently deliver results with minimal direction.
  • Proven success working across teams, with the ability to clearly communicate in diverse, multi-functional environments.
  • Skilled at analyzing data, identifying patterns, and ensuring a high level of accuracy and attention to detail in all work.

#LI-HIRINGMICHELIN
#LI-SB1
Ready to Shape the Future of Innovation?
Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.
The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.
Why Michelin?
  • Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.
  • Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Connected Communities.
  • Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.
  • Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.

Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at accommodations@michelin.com.
This position is not available for immigration sponsorship.
We build the future with people like you. Begin your career with Michelin today!