Insurance Industry & Function AI Decision Science Consultant

Accenture

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYMilwaukeeDallasColumbusCincinnatiClevelandOklahoma CityAustinAlbanyChicagoSt. PetePittsburghHartfordSt. LouisMiamiSacramentoRaleighMinneapolisScottsdaleMorristownSan Francisco, CABoston, MADenverPhiladelphiaDes MoinesOverland ParkWalnut CreekCharlotteSeattleCarmelHoustonArlingtonAtlantaBentonvilleNashvilleSan Diego
Salary
$70,350–$205,800 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $138k
$50k $263k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $157,587–$235,750 — the blue band above. At the midpoint, this role pays about $138k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 174 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 128 roles with salary data.

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At a glance

TL;DR · Insurance Industry & Function AI Decision Science Consultant

Role Posting Log in to save

As an Insurance Industry & Function AI Decision Science Consultant, you will join the Decision Science team to design, develop, and reinvent processes using agentic AI to drive efficiency and growth. You will be responsible for leveraging advanced analytics, machine learning, and AI technologies to create decision-making systems for insurance clients. Day-to-day tasks include developing and customizing DS/ML/AI models, identifying use cases, determining ROI, and creating transformation roadmaps. You will collaborate with onshore and offshore teams to deliver data science initiatives while bridging business and technical domains. Required skills include proficiency in Python, R, or SQL, and experience with frameworks like TensorFlow, PyTorch, or scikit-learn. You will also utilize cloud platforms such as AWS, Azure, and Google Cloud to solve complex insurance industry problems.

Skills

Python R SQL TensorFlow PyTorch scikit-learn AWS Azure Google Cloud Open AI Anthropic Hadoop Spark Tableau Power BI Machine Learning Data Science Artificial Intelligence Big Data Reinforcement Learning

What you'll do

  • Develop and customize DS, ML, and AI models to solve specific business problems.
  • Identify AI use cases by analyzing organizational goals, developing business cases, and determining ROI.
  • Create transformation roadmaps and design decision-making systems using advanced analytics and machine learning.
  • Advise organizations on responsible AI adoption, governance, and user training on new processes.
  • Support the sales process by contributing to solutioning for DS and ML related opportunities.
  • Bridge the gap between business and technical domains for internal and external stakeholders.
  • Execute projects by collaborating with onshore and offshore teams across strategy, consulting, and tech.

What we're looking for

  • Bachelor's Degree in Data Science, Computer Science, Statistics, or a related field (preferred).
  • Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred).
  • 3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
  • Minimum 1 year of experience delivering project work in a consulting environment to Insurance clients OR Insurance industry experience.
  • Proficiency in programming languages such as Python, R, or SQL (preferred).
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, Google Cloud) (preferred).
  • Fluent in English (both spoken and written).
  • Ability to travel up to 80% as needed based on client expectations.

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