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Machine Learning Finance Jobs in Indiana (NOW HIRING)

Brooksource

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Develop machine learning models with spatial components (clustering, classification, interpolation ... financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job ...

Novolex

Machine Operator- Sortation

Connersville, IN

$23.25 - $26.76/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Fastenal Company

Entry-Level Machinist

Indianapolis, IN · On-site

$15.50 - $19/hr

... Learning machine operation and capabilities of multiple machines o Running multiple pieces of ... As a growth company with a solid financial position, we are committed to training, promoting from ...

Novolex

Bag Machine Operator

North Vernon, IN · On-site

$17.75 - $21/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Bag Machine Operator

North Vernon, IN · On-site

$17.75 - $21/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Bag Machine Operator

North Vernon, IN · On-site

$17.75 - $21/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Bag Machine Operator

North Vernon, IN · On-site

$17.75 - $21/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Machine Tender

North Vernon, IN · On-site

$16/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Machine Tender

North Vernon, IN

$16/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Machine Tender

North Vernon, IN · On-site

$16/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Machine Tender

North Vernon, IN · On-site

$16/hr

... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...

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Showing results 21-40

All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Indiana

Machine Learning Finance information

See Indiana salary details

$23.8K

$88.1K

$128.9K

How much do machine learning finance jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning finance in Indiana is $88,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $103,700.00 per year, depending on experience, location, and employer.

Can machine learning be used in finance?

Machine learning finance roles involve applying algorithms to analyze financial data, detect patterns, and make predictions for trading, risk management, and fraud detection. Professionals in this field often use tools like Python, R, and specialized libraries, and require strong statistical and programming skills. These applications improve decision-making and operational efficiency in financial institutions.

What are the key skills and qualifications needed to thrive in machine learning finance, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are the most commonly searched types of Machine Learning Finance jobs in Indiana? The most popular types of Machine Learning Finance jobs in Indiana are:
What are popular job titles related to Machine Learning Finance jobs in Indiana? For Machine Learning Finance jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Indiana look for? The top searched job categories for Machine Learning Finance jobs in Indiana are:
Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $88,145 per year, or $42.4 per hour.

Data Product Manager - Finance

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Data is transforming Finance from a reporting function into a strategic decision engine. We're building the next generation of Finance data products that power AI, advanced analytics, intelligent automation, and enterprise decision-making.
As a Data Product Manager within the Finance Data Strategy organization, you will own one or more Finance data products from strategy through delivery and continuous improvement. You will partner closely with Finance leaders, Data Engineering, Architecture, Analytics, and Enterprise Data teams to define product strategy, prioritize roadmaps, and deliver trusted, scalable data products.
This role blends product management, business acumen, and technical expertise. You'll work with business leaders to translate Finance challenges into product opportunities while partnering with engineering teams to build AI-ready data products that enable advanced analytics, intelligent automation, and generative AI across Finance.
Key Responsibilities
Product Strategy & Roadmap
  • Own the vision, roadmap, and lifecycle for one or more Finance data products.
  • Partner with Finance stakeholders to identify high-value opportunities and prioritize investments based on business value, technical feasibility, and strategic alignment.
  • Define product success metrics and continuously measure business value, adoption, and product performance.
  • Champion an AI-first product mindset by identifying opportunities for AI, automation, and intelligent decision support.

Product Delivery
  • Translate business needs into product requirements, user stories, and prioritized backlogs.
  • Lead end-to-end delivery of Finance data products across enterprise data and analytics platforms.
  • Drive release planning and partner with engineering teams to deliver scalable, high-quality solutions while balancing technical debt and long-term platform sustainability.

Technical & Platform Leadership
  • Partner with Data Engineering, Architecture, and Analytics teams on data ingestion, modeling, semantic layers, governance, and data quality.
  • Guide product decisions on technical trade-offs to ensure scalable, reliable, and reusable enterprise data capabilities.

Stakeholder Leadership
  • Serve as the primary product owner for assigned Finance data products.
  • Build trusted partnerships across Finance and Technology organizations.
  • Lead roadmap discussions and communicate product strategy, delivery progress, risks, and outcomes to stakeholders and senior leadership.

Product Adoption & Continuous Improvement
  • Drive product adoption through user engagement, training, and change management.
  • Gather customer feedback and continuously enhance product capabilities.
  • Identify opportunities to improve business processes through data products, automation, and analytics.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Finance, or a related field.
  • 5+ years of experience in Data Product Management, Product Management, Technical Product Management, or enterprise data and analytics initiatives.
  • Experience partnering with cross-functional business and engineering teams to deliver enterprise-scale products.
  • Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Preferred Qualifications
  • Experience building enterprise data products supporting Finance or other business functions.
  • Understanding of Finance processes such as planning, forecasting, close, and reporting.
  • Experience with Microsoft Fabric, Azure, AWS, Databricks, Snowflake, or similar cloud data platforms.
  • Experience supporting AI, machine learning, or advanced analytics initiatives.
  • Understanding of enterprise data platforms, ETL pipelines, semantic models, and data governance.
  • Experience working in regulated environments supporting SOX or audit requirements.
  • Experience working in Agile product delivery environments.
  • Strong stakeholder management, executive communication, and influencing skills.

Technical Capabilities
  • Product strategy and roadmap development
  • Agile product management and backlog prioritization
  • Enterprise data platforms and cloud ecosystems
  • Data modeling and semantic layers
  • Data quality, governance, and lineage
  • SQL and data analysis
  • Power BI or enterprise BI platforms
  • ERP data structures
  • Azure DevOps, Jira, or equivalent

What Makes Someone Successful
  • Thinks like a product manager, focusing on customer value and measurable business outcomes.
  • Balances business priorities with technical realities.
  • Builds trusted partnerships across business and engineering teams.
  • Makes informed decisions using data and customer feedback.
  • Communicates effectively with both technical and executive audiences.
  • Thrives in ambiguity and continuously improves products through an iterative, outcome-driven approach.
  • Champions innovation and AI-first thinking to create business value.

Additional Information
  • Travel ~10%

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$64,500 - $151,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876

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