Incorra
Location:
Onsite hybrid -
3 days/week
in
New York, NY; Holmdel, NJ; Boston, MA; or Bethlehem, PA
Type:
Full-Time / Direct Hire
Work Authorization:
US Citizenship or Green Card required
The Role
We're looking for a
Senior Data Scientist (Agentic AI)
to turn advanced research into
production systems
that automate complex workflows and drive measurable business impact. You'll design, deploy, and scale
agentic AI ,
LLM
and
generative AI
solutions that transform how we operate, serve customers, and grow - partnering directly with senior leaders on high-visibility initiatives.
What You'll Do Build agentic automation:
Design and deploy
Agentic AI
solutions to automate complex business workflows, improve decisioning, and elevate customer & employee experiences. Operationalize LLMs/GenAI:
Apply cutting-edge
LLMs
and
Generative AI
to
unstructured data
(contracts, claims, medical records, customer interactions). Autonomous agents & reasoning:
Develop
autonomous/multi-step reasoning agents
integrated with core platforms to deliver measurable outcomes. Production & scale:
Partner with
data engineering
and
AIOps
to move from prototype to enterprise deployment-ensuring robustness, scalability, observability, and reliability. From research to impact:
Translate advances in
agentic AI ,
reinforcement learning , and
reasoning
into practical solutions for
underwriting, claims automation, customer servicing, and risk assessment . Product partnership:
Work with product owners, engineers, and business leaders to define use cases, architect solutions, and track
ROI . Frameworks & standards:
Contribute to the DSL's
repeatable frameworks
for developing, testing, and deploying agentic AI; help standardize tools and patterns across the enterprise. Mentor & uplift:
Mentor junior data scientists; provide technical leadership across projects. What You'll Bring
Must-Have Qualifications
Education:
PhD (2+ yrs),
or
Master's (4+ yrs) in Statistics/CS/Engineering/Applied Math or related. Experience:
3+ years
hands-on
AI modeling/development
delivering real systems. Foundations:
Strong
probability & statistics ; solid grasp of ML algorithms, optimization, and statistical modeling. Programming & frameworks:
Python
plus
PyTorch
and/or
TensorFlow ; experience with
LangGraph . Agentic/LLM skills:
Practical experience building
LLM-based solutions
and
agentic systems ; comfort with autonomous workflows and multi-step reasoning. Collaboration & comms:
Strong communication; effective partnering across Product, Engineering, and business stakeholders. Technical leadership:
Proven mentoring/technical leadership; ability to track performance and outcomes at the enterprise level. Nice to Have
Experience integrating agents/LLMs with
core platforms
and enterprise services. Exposure to
AIOps/MLOps
practices (monitoring, alerting, rollback, governance). Insurance/financial-services domain familiarity. Why Join
Impact at scale:
Ship agentic AI that meaningfully improves operational efficiency and customer experience. High visibility:
Work directly with senior leaders on enterprise initiatives. Modern stack:
Build with state-of-the-art
LLMs ,
agent frameworks
(incl.
LangGraph ), and production-grade pipelines. Growth & mentorship:
Senior IC scope with room to mentor, set patterns, and influence standards across the org. Competitive package:
Strong salary, comprehensive health benefits,
401(k) , 55% bonus. Work Model
Hybrid onsite:
3 days per week
at
NYC, Holmdel (NJ), Boston (MA), or Bethlehem (PA)
offices.
Onsite hybrid -
3 days/week
in
New York, NY; Holmdel, NJ; Boston, MA; or Bethlehem, PA
Type:
Full-Time / Direct Hire
Work Authorization:
US Citizenship or Green Card required
The Role
We're looking for a
Senior Data Scientist (Agentic AI)
to turn advanced research into
production systems
that automate complex workflows and drive measurable business impact. You'll design, deploy, and scale
agentic AI ,
LLM
and
generative AI
solutions that transform how we operate, serve customers, and grow - partnering directly with senior leaders on high-visibility initiatives.
What You'll Do Build agentic automation:
Design and deploy
Agentic AI
solutions to automate complex business workflows, improve decisioning, and elevate customer & employee experiences. Operationalize LLMs/GenAI:
Apply cutting-edge
LLMs
and
Generative AI
to
unstructured data
(contracts, claims, medical records, customer interactions). Autonomous agents & reasoning:
Develop
autonomous/multi-step reasoning agents
integrated with core platforms to deliver measurable outcomes. Production & scale:
Partner with
data engineering
and
AIOps
to move from prototype to enterprise deployment-ensuring robustness, scalability, observability, and reliability. From research to impact:
Translate advances in
agentic AI ,
reinforcement learning , and
reasoning
into practical solutions for
underwriting, claims automation, customer servicing, and risk assessment . Product partnership:
Work with product owners, engineers, and business leaders to define use cases, architect solutions, and track
ROI . Frameworks & standards:
Contribute to the DSL's
repeatable frameworks
for developing, testing, and deploying agentic AI; help standardize tools and patterns across the enterprise. Mentor & uplift:
Mentor junior data scientists; provide technical leadership across projects. What You'll Bring
Must-Have Qualifications
Education:
PhD (2+ yrs),
or
Master's (4+ yrs) in Statistics/CS/Engineering/Applied Math or related. Experience:
3+ years
hands-on
AI modeling/development
delivering real systems. Foundations:
Strong
probability & statistics ; solid grasp of ML algorithms, optimization, and statistical modeling. Programming & frameworks:
Python
plus
PyTorch
and/or
TensorFlow ; experience with
LangGraph . Agentic/LLM skills:
Practical experience building
LLM-based solutions
and
agentic systems ; comfort with autonomous workflows and multi-step reasoning. Collaboration & comms:
Strong communication; effective partnering across Product, Engineering, and business stakeholders. Technical leadership:
Proven mentoring/technical leadership; ability to track performance and outcomes at the enterprise level. Nice to Have
Experience integrating agents/LLMs with
core platforms
and enterprise services. Exposure to
AIOps/MLOps
practices (monitoring, alerting, rollback, governance). Insurance/financial-services domain familiarity. Why Join
Impact at scale:
Ship agentic AI that meaningfully improves operational efficiency and customer experience. High visibility:
Work directly with senior leaders on enterprise initiatives. Modern stack:
Build with state-of-the-art
LLMs ,
agent frameworks
(incl.
LangGraph ), and production-grade pipelines. Growth & mentorship:
Senior IC scope with room to mentor, set patterns, and influence standards across the org. Competitive package:
Strong salary, comprehensive health benefits,
401(k) , 55% bonus. Work Model
Hybrid onsite:
3 days per week
at
NYC, Holmdel (NJ), Boston (MA), or Bethlehem (PA)
offices.