VTal Technology Solutions
Seeking a
Sr. Data Scientist - Agentic AI
for a hybrid
contract role
with a
large insurance firm
in
NYC .
Key Responsibilities • Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences. • Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions. • Build autonomous agents and multi-step reasoning systems that integrate with core platforms to deliver measurable business impact. • Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment. • Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment. • Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI. • Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions. • Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across Client.
You are : • Passionate about pushing the frontier of AI while applying it to solve real-world business problems. • Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries. • A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment. • Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals.
You have : • PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field • 3+ years of hands-on AI modeling/development experience • Strong theoretical foundations in probability & statistics • Strong programming skills in Python including PyTorch, Tensorflow, LangGraph • Solid background in machine learning algorithms, optimization, and statistical modeling • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level • Excellent analytical and problem-solving abilities with superb attention to detail • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Sr. Data Scientist - Agentic AI
for a hybrid
contract role
with a
large insurance firm
in
NYC .
Key Responsibilities • Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences. • Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions. • Build autonomous agents and multi-step reasoning systems that integrate with core platforms to deliver measurable business impact. • Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment. • Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment. • Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI. • Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions. • Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across Client.
You are : • Passionate about pushing the frontier of AI while applying it to solve real-world business problems. • Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries. • A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment. • Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals.
You have : • PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field • 3+ years of hands-on AI modeling/development experience • Strong theoretical foundations in probability & statistics • Strong programming skills in Python including PyTorch, Tensorflow, LangGraph • Solid background in machine learning algorithms, optimization, and statistical modeling • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level • Excellent analytical and problem-solving abilities with superb attention to detail • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success