Sr. Data Scientist, Agentic AI.
VTal Technology Solutions
Sr. Data Scientist - Agentic AI
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
Vacancy posted 4 days ago
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