Data Scientist — AI & Agentic Solutions

About The Role

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.

South Bend, IN – Hybrid

Full‑time

Occasional, client‑dependent

Senior Individual Contributor

• 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

• 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

• 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.