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Financial Data Scientist Jobs in Indiana (NOW HIRING)

MYR Group

Telematics Analyst

Bargersville, IN · On-site

Support data needs for related teams such as Safety and Finance as needed * Communicate insights in ... Associate's or Bachelor's degree in Information Technology, Computer Science Business or comparable ...

MYR Group

Telematics Analyst

Bargersville, IN

Support data needs for related teams such as Safety and Finance as needed * Communicate insights in ... Associate's or Bachelor's degree in Information Technology, Computer Science Business or comparable ...

MYR Group

Telematics Analyst

Bargersville, IN

Support data needs for related teams such as Safety and Finance as needed * Communicate insights in ... Associate's or Bachelor's degree in Information Technology, Computer Science Business or comparable ...

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All JobsFinancial Data Scientist JobsFinancial Data Scientist Jobs in Indiana

Financial Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do financial data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for financial data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a financial data scientist?

To thrive as a Financial Data Scientist, you need strong quantitative skills, proficiency in statistical analysis, and a background in finance or economics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial databases and tools like Bloomberg Terminal are also important. Critical thinking, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for building accurate financial models, driving data-driven decision-making, and delivering value in dynamic financial environments.

What is the difference between Financial Data Scientist vs Quantitative Analyst?

AspectFinancial Data ScientistQuantitative Analyst
Required CredentialsDegree in Finance, Data Science, or related fields; often certifications like CFA or FRMDegree in Mathematics, Statistics, Finance; CFA or FRM common
Work EnvironmentFinancial institutions, tech firms, investment firms; focus on data modeling and predictive analyticsInvestment banks, hedge funds, asset management; focus on trading strategies and risk modeling
Employer & Industry UsageUsed across finance and tech sectors for data-driven decision makingPrimarily in finance for trading, risk, and portfolio management

Financial Data Scientists analyze large datasets to develop predictive models and insights, often combining finance knowledge with data science skills. Quantitative Analysts focus on developing mathematical models for trading and risk management. While both roles require strong quantitative skills and finance knowledge, Financial Data Scientists tend to work more on data analysis and machine learning, whereas Quantitative Analysts focus on financial modeling and trading strategies.

What does a financial data scientist do?

A Financial Data Scientist analyzes complex financial data using statistical, machine learning, and computational techniques to identify patterns, forecast trends, and support decision-making within financial institutions. They work with large datasets from sources like market data, customer transactions, and economic indicators to develop predictive models and data-driven strategies. Their work helps organizations manage risk, optimize portfolios, detect fraud, and gain a competitive edge in the financial sector.

How does a financial data scientist typically collaborate with other departments within a financial organization?

Financial Data Scientists regularly work alongside cross-functional teams, including risk analysts, portfolio managers, and software engineers. They collaborate to develop predictive models, automate data pipelines, and translate complex data insights into actionable business strategies. Effective communication is key, as they must explain technical findings to stakeholders with varying levels of data literacy. This collaborative environment not only fosters innovation but also offers opportunities to learn from other experts and expand your professional network.
What are popular job titles related to Financial Data Scientist jobs in Indiana? For Financial Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Financial Data Scientist jobs in Indiana look for? The top searched job categories for Financial Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Financial Data Scientist jobs? Cities in Indiana with the most Financial Data Scientist job openings:
Financial Data Scientist jobs near you
Infographic showing various Financial Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

IT Data Analyst Intern

Magnera Corporation

Evansville, IN • On-site

Internship

Re-posted 7 days ago

Magnera rating

7.2

Company rating: 7.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Overview
Magnera's purpose is to better the world with new possibilities made real. For more than 160 years, the originating companies have delivered the material solutions their partners need to thrive. Through economic upheaval, global pandemics and changing end-user needs, they have consistently found ways to solve problems and exceed expectations. By bringing together these legacy companies, the distinct scale and comprehensive portfolio of products will bring customers more materials and choices. With a combined legacy of resilience, Magnera will build personal partnerships that withstand an ever-changing world.
The IT Data Analyst Intern will work alongside the Information Technology Department to gainhands-on experience supporting data analysis and vendor management activities. The intern will work extensively in Excel to organize, analyze, and maintain data across multiple sources while leveraging SAP systems to access vendor and financial information. Throughout the program, the intern will gain exposure to procurement and financial processes, developing both technical skills and a strong understanding of how data supports business operations.
Responsibilities
  • Assist with data analysis activities using Excel to support business needs
  • Perform data functions such as VLOOKUPs, data transposition, and consolidation across multiple files
  • Extract, organize, and analyze vendor-related data from SAP systems
  • Maintain accuracy and integrity of data while managing large datasets
  • Support procurement and financial data processes through reporting and analysis
  • Collaborate with team members to ensure timely completion of data-related tasks
  • Identify discrepancies in data and assist with data clean-up and validation efforts
  • Gain exposure to SAP processes, particularly within procurement and financial modules
  • Demonstrate strong attention to detail and efficiency in completing assigned tasks

Qualifications
  • Proficiency in Microsoft Excel, including functions such as VLOOKUP, data transposition, and working with large datasets
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to manage and organize data accurately and efficiently across multiple sources
  • Basic understanding of data analysis concepts and reporting
  • Strong organizational and time management skills with the ability to meet deadlines
  • Effective written and verbal communication skills
  • Ability to work independently as well as collaboratively in a team environment
  • Interest in learning SAP, particularly within procurement and financial processes
  • Rising Juniors or Seniors pursuing a degree in Computer Science, Business, Finance, Data Analytics, or a related field

What Magnera employees say

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