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Data Scientist Generative Ai Jobs in Indiana (NOW HIRING)

Munich Re

Data Scientist

Fishers, IN · On-site +1

Build and deploy AI/ML models with general guidance. * Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

Build and deploy AI/ML models with general guidance. * Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the ...

RADcube - A NLogix Company

Data Scientist

Indianapolis, IN · On-site

$110 - $160/hr

Advanced Data Analytics and AI-driven platforms. * Cybersecurity and risk management. Recognized ... Data Scientist Hybrid - Indianapolis, IN About the Role We are seeking a Data Scientist with 3-5 ...

New

Munich RE

Data Scientist

Fishers, IN · On-site

Build and deploy AI/ML models with general guidance. * Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the ...

Munich RE

Data Scientist

Indianapolis, IN · On-site

Build and deploy AI/ML models with general guidance. * Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the ...

United States Digital Space LLC

Data Scientist

Warsaw, IN · On-site

$85.37 - $96.85/hr

Data Scientist The Data Science team helps us fulfill our mission by informing strategy, defining ... Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and ...

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Data Scientist Generative Ai information

What is the difference between Data Scientist Generative Ai vs Data Scientist?

AspectData Scientist Generative AiData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI, machine learning, and programming languagesSimilar credentials; often includes degrees in statistics, computer science, or related fields
Work EnvironmentTech companies, AI startups, research labs focusing on AI and machine learning projectsVarious industries including finance, healthcare, tech, and consulting
Employer & Industry UsagePrimarily in AI development, focusing on generative models like GPT, DALL·E, and similarBroader industry applications, including data analysis, predictive modeling, and business insights

While both roles require strong data science skills and programming knowledge, Data Scientist Generative Ai specializes in developing and deploying generative AI models, whereas Data Scientist has a broader focus on data analysis and predictive modeling across various industries.

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Cities in Indiana with the most Data Scientist Generative Ai job openings:

Data Scientist Generative Ai jobs near you
Infographic showing various Data Scientist Generative Ai job openings in Indiana as of June 2026, with employment types broken down into 74% Full Time, 21% Part Time, 4% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Associate Director - AI/ML Data Scientist

Indianapolis, IN • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

$120 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

Position Overview:

Senior Data Scientist to develop advanced analytics, machine learning, and AI that convert governed workforce data into actionable intelligence for Lilly's People Intelligence platform.

What You'll Be Doing:
  • - Design, validate, and operationalize statistical/ML/AI models for workforce use cases.
  • - Build predictive capabilities for attrition, talent risk, employee experience, hiring, mobility, skills, org health, and workforce planning.
  • - Use regression/classification/clustering/forecasting, causal inference, NLP, anomaly detection, and scenario modeling.
  • - Develop AI-enabled analytics (risk signals, probabilistic guidance, recommended follow-ups); create reusable AI skills/workflows/prompts.
  • - Build semantic models and make models AI-ready for Fabric; integrate into Fabric Data Agents, Power BI, MCP, and approved enterprise experiences.
  • - Establish governance/measurement: validation, monitoring, explainability, retraining/retirement; define performance thresholds; manage bias/fairness/privacy/unintended consequences; ensure reproducible methods.
  • - Advise HR leaders and product owners; translate findings into decision-oriented language; convert analyses into reusable models/metrics/products; coach others.
Key Deliverables:

Predictive/causal workforce models; governed semantic data models; generative AI text analytics (sentiment/theme extraction); model accuracy/testing frameworks; monitoring/governance standards; reusable ML pipelines/feature stores; scenario planning/workforce simulations; explainable AI outputs.

Basic Qualifications:
  • - BS in data science/statistics/ML or related.
  • - 4+ years Python proficiency; develop/validate/operationalize predictive models.
  • - 5+ years statistical inference, experimental design, model evaluation, data-quality assessment.
Strongly Preferred:
  • - Advanced degree (quantitative/behavioral) and/or AI certification.
  • - Large complex longitudinal datasets; executive communication.
  • - Workforce/people analytics; independent judgment with sensitive employee data.
  • - Microsoft Fabric/Spark/Power BI/Azure AI/Fabric Data Agents.
  • - NLP, generative AI/RAG, causal inference, organizational network analysis, workforce forecasting; responsible AI/privacy/governance familiarity.
Additional Information (Benefits):
  • - Eligible for company bonus (full-time equivalent).
  • - Comprehensive benefits: 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits (e.g., FSA), life insurance, time off/leave of absence, well-being benefits (e.g., EAP, fitness, employee clubs/activities).
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