

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.
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.