Lead Data Scientist at TechniPros Chicago, IL

Lead Data Scientist

Location:

Chicago, IL, USA. Employment: W2 (long-term engagement). Job code: JB-LSIQ2

MDH.

Techni Pros is a technology-focused consulting firm helping clients adopt advanced analytics and AI to solve complex business problems. The team partners with industry stakeholders to deliver scalable, production-ready machine learning and GenAI solutions that drive measurable impact.

Lead high-impact GenAI and ML initiatives within the insurance domain, influencing underwriting and claims automation. Work with cutting-edge tools (LLMs, Lang Chain/Lang Graph) and cloud platforms to deploy production solutions. Competitive compensation and an opportunity to mentor and grow a data science team. Engaging, cross-functional environment with clear paths for technical leadership.

• Design and implement RAG systems and agentic AI workflows using prompt engineering, LLM fine-tuning, and frameworks such as Lang Chain and Lang Graph to automate policy binding and claims adjudication.
• Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution to improve operational efficiency.
• Architect, build, and refine ML and GenAI models for predictive analytics, anomaly detection, and fraud identification; ensure models meet production performance and reliability standards.
• Deploy and monitor models on cloud platforms (AWS/Azure/GCP), implement feedback loops, and run A/B testing for continuous improvement.
• Lead cross-functional collaboration with engineering, product, and business teams; define benchmarks, monitor model drift and bias, and ensure regulatory alignment for insurance workflows.

• 10+ years of experience in machine learning or data science, with demonstrable experience leading GenAI projects; insurance or finance domain experience is a strong plus.
• Proven expertise in Python and ML libraries (Pandas, Num Py, scikit-learn, Tensor Flow, PyTorch).
• Hands-on experience with GenAI frameworks and LLM orchestration (Lang Chain, Lang Graph) and implementing RAG/agentic solutions.
• Experience deploying scalable models to cloud environments and monitoring production performance, including bias/dataset drift mitigation.
• Strong statistical and algorithmic foundations, experience with visualization tools (Matplotlib, Seaborn, Tableau), and excellent communication and leadership skills.
• Bachelor’s degree or equivalent professional experience; advanced degree preferred but not required.

Primary:

• Python
• Machine Learning
• Data Science
• Generative AI
• Lang Chain
• Lang Graph

Secondary:

• Pandas
• Num Py
• scikit-learn
• Tensor Flow
• Py Torch
• Matplotlib
• Seaborn
• Tableau

Pay rate: USD 62/hr (W2). This opportunity is structured as a long-term engagement; the role is expected to work on-site in Chicago, IL.