Rangam

RCI-GRD-845-1 Senior Data Scientist (Agentic AI) - NO C2C

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (Agentic AI) in New York, NY, with a potential contract-to-hire arrangement. Requires a PhD or Master’s with relevant AI/ML experience, proficiency in Python, and strong leadership skills. Pay rate is undisclosed.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
October 21, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Corp-to-Corp (C2C)
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Engineering #"ETL (Extract #Transform #Load)" #Data Science #Scala #Leadership #ML (Machine Learning) #Statistics #TensorFlow #Python #PyTorch
Role description
Job Summary: Senior Data Scientist, Agentic AI Location: New York, NY office (hybrid - 3 days a week onsite) This is a potential contract to hire role. About the Role: Our client is transforming into a modern, data-driven insurance company. As part of this journey, we’re looking for a Senior Data Scientist to help build and scale advanced Agentic AI and LLM-based solutions that automate workflows, improve decision-making, and enhance customer experience. You’ll work closely with senior leaders and cross-functional teams to design AI systems that drive measurable business impact. This is a high-visibility role within company's Data Science Lab (DSL) — a hub for innovation, rapid testing, and operationalizing AI solutions across the enterprise. What You’ll Do • Design and deploy Agentic AI solutions to automate complex business processes. • Operationalize LLMs and Generative AI for unstructured data (contracts, claims, medical records, customer interactions). • Build intelligent agents and reasoning systems that integrate with core business platforms. • Partner with data engineering and AIOps teams to scale AI models from prototype to production. • Translate AI research into real-world solutions for underwriting, claims, customer service, and risk assessment. • Define use cases, measure ROI, and collaborate with business stakeholders. • Mentor junior data scientists and help standardize AI/ML frameworks across the organization. What You Bring • PhD + 2 years OR Master’s + 4 years of relevant AI/ML experience. • 3+ years of hands-on experience in AI model development. • Strong foundation in probability, statistics, and machine learning. • Proficiency in Python, PyTorch, TensorFlow, and LangGraph. • Proven experience deploying scalable AI solutions. • Excellent communication skills and ability to work cross-functionally with Product, Engineering, and Business teams. • Leadership experience in mentoring and guiding data scientists.