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 were a trusted partner for midsized businesses across the U.S. Were 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 youll 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 Masters 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 youre 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