Data Scientist — AI & Agentic Solutions

Aunalytics is a data and AI company. We build the data foundation that makes AI work in the real world, and we pair that technology with the hands-on expertise and guidance our clients need to see business impact. We apply our data and AI approach to IT services and to financial institutions. With well over a decade of experience, a proprietary platform, and a team of data scientists, engineers, and industry experts, we're a trusted partner for midsized businesses across the U.S. We're headquartered in South Bend, IN with offices in Michigan, Ohio, and New Jersey. If you want to do meaningful work at a company where your contributions move the needle for clients, for the business, and for the team around you, you'll fit right in here.

• Partner with client leadership teams to identify where AI and AI agents can grow revenue, automate work, and improve customer experience
• Make data AI-ready — integrate and cleanse disparate data into a foundation that models and agents can use
• Design, build, and deploy machine learning, generative AI, and agentic workflows (from customer intelligence and lead prioritization to automating manual processes)
• Build proofs-of-concept and production-ready solutions on the Aunalytics data platform and cloud, integrated with client systems
• Advise on AI strategy — feasibility, risk, sequencing, and expected ROI — in language leadership can act on.
• Define success metrics and measure impact, then iterate based on real-world results
• Communicate clearly to both technical and non-technical audiences, from analysts to the C-suite
• Handle regulated data responsibly, in line with client compliance requirements (SOC 2, PCI, GLBA, and HIPAA where applicable)
• Stay current on the fast-moving AI, LLM, and agent landscape, and bring the best of it to engagements

Required

• A PhD in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or similar) — preferred; OR a Master's degree in a related field plus 5+ years of applied data science experience
• Strong applied machine learning skills and fluency in Python and common data science / ML libraries
• Hands-on experience with LLMs and agentic / generative AI — building real applications with techniques like RAG, prompt engineering, agent frameworks, and orchestration
• A track record of taking problems from ambiguity to deployed solution, not just prototypes
• Excellent communication and stakeholder skills — you're comfortable advising and influencing senior leaders
• Comfort juggling multiple concurrent engagements and shifting context between clients

Nice to Have

• Prior consulting or client-facing experience.
• Working knowledge of data governance and compliance frameworks (SOC 2, PCI, GLBA, HIPAA)

• Real impact. Your work directly shapes how multiple purpose-driven, midsized organizations operate and grow.
• Variety. Different clients, different problems — you work alongside data scientists and industry experts, not in a silo.
• Frontier work. Applied AI and agents in real, regulated production environments
• Purpose and community. A South Bend-rooted company that believes an inclusive, diverse team does the best work