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Senior Data Science Insurance Jobs in Raleigh, NC

Job Summary The Senior Data Scientist will leverage advanced analytical and machine learning ... data science problems. • Design, implement, evaluate, validate, and proof MCP and RAG-based ...

Job Summary We are seeking a Senior Data Scientist II with 10-12+ years of total experience and at least 8+ years of recent Data Science experience. The ideal candidate will have strong end-to-end ...

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze ... data science solutions. • Leading small- to medium-sized teams (direct or indirect)

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze ... data science solutions. • Leading small- to medium-sized teams (direct or indirect)

Proven ability to lead end-to-end data science projects from discovery through production ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

Proven ability to lead end-to-end data science projects from discovery through production ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

We are seeking a Senior Data Scientist to lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why, leveraging ...

We are seeking a Senior Data Scientist with deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and production-scale machine learning systems. This ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

The Senior Data Scientist will work in a cross-functional team environment under the direction of ... Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k ...

Do you want to help us build further data science capabilities? And are you eager to work on the ... Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the ... Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Mentor team members and provide technical leadership in data science and AI. Requirements: * Master ...

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Senior Data Science Insurance information

See Raleigh, NC salary details

$16

$55

$79

How much do senior data science insurance jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for senior data science insurance in Raleigh, NC is $55.23, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $65.43 per hour, depending on experience, location, and employer.

What is the difference between Senior Data Science Insurance vs Data Analyst Insurance?

AspectSenior Data Science InsuranceData Analyst Insurance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics teams, cross-functional projects, predictive modelingReporting, data cleaning, basic analysis, dashboards
Employer & Industry UsageInsurance companies, financial services, risk assessmentInsurance firms, brokers, claims departments

Senior Data Science Insurance roles focus on developing predictive models and advanced analytics, requiring higher technical skills and experience. Data Analysts typically handle data reporting and basic analysis. Both roles are vital in insurance but differ in complexity and responsibilities.

Senior Data Scientist[Remote]- W2 Role

Raleigh, NC • On-site

SmartIPlace
IT Services • 51 - 200 employees

Contractor

Posted 27 days ago


Job description

Senior Data Scientist II
Position: Senior Data Scientist II
Location: Remote (EST) — Hybrid in Raleigh, NC preferred
Rate Type: BH W2
Duration: 6 months, with possible extension/conversion
Interview Process: 2 rounds via video

Position Overview

LexisNexis is seeking experienced Senior Data Scientist II professionals to develop innovative, customer-facing data science and AI solutions. The ideal candidate will have strong expertise in modern data science, Generative AI, LLMs, RAG, agentic AI, unstructured data, and production machine learning.

You will work closely with Machine Learning Engineers (MLEs) and cross-functional teams throughout the product development and production lifecycle, turning complex data into scalable, customer-focused solutions.

Required Qualifications

  • 8+ years of total professional experience in data science, machine learning, or a closely related field.
  • 5+ years of recent Data Science experience, with hands-on expertise in areas such as:
    • MCP
    • RAG implementations, evaluations, validations, and proof-of-concepts
    • Agentic AI
    • Generative AI
    • LLM applications
    • Unstructured data
  • Proven experience building customer-facing data science or AI products.
  • Experience partnering with Machine Learning Engineers (MLEs) throughout the production lifecycle.
  • Strong Python programming skills.
  • Strong understanding of machine learning algorithms, including:
    • Deep Learning
    • Gradient Boosting
    • Random Forests
  • Experience working directly with Large Language Models (LLMs) and Transformer-based architectures, including:
    • BERT
    • RoBERTa
    • T5
  • Hands-on experience applying LLM technologies such as:
    • ChatGPT
    • GPT-3.5
    • Claude
    • Mistral
  • Experience working with large datasets and distributed computing systems, such as Hadoop and Spark.

Preferred Qualifications

  • Experience working within large enterprise environments.
  • Experience taking AI/ML solutions from experimentation and proof-of-concept through production.
  • Strong understanding of modern Generative AI and LLM ecosystem.
  • Experience working with cross-functional teams to deliver business and customer-focused solutions.

Key Responsibilities

  • Develop advanced data science and AI solutions using complex datasets.
  • Design, implement, evaluate, and validate RAG, agentic AI, MCP, and Generative AI solutions.
  • Work with unstructured data to extract meaningful insights and develop innovative AI applications.
  • Apply machine learning and deep learning techniques to solve complex business problems.
  • Work directly with LLMs and Transformer-based architectures.
  • Collaborate closely with MLEs to move models and AI solutions into production.
  • Contribute to the full product lifecycle, from research and experimentation through deployment and optimization.
  • Analyze large-scale datasets using distributed computing technologies such as Spark and Hadoop.
  • Partner with cross-functional teams to translate business requirements into data-driven solutions.
  • Drive actionable insights that support business strategy, customer experience, and product growth.
  • Stay current with emerging developments in Generative AI, LLMs, machine learning, and AI engineering.

Ideal Candidate

The ideal candidate is a senior-level Data Scientist with strong hands-on Generative AI/LLM experience, particularly someone who has recently worked on RAG, MCP, agentic AI, unstructured data, and customer-facing AI products and has experience taking solutions into production.

Must-Have Keywords:
Python | Data Science | Generative AI | LLM | RAG | MCP | Agentic AI | Unstructured Data | Machine Learning | Deep Learning | Transformers | BERT | RoBERTa | T5 | Spark | Hadoop | Customer-Facing Products | MLE Collaboration


Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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