Insurance Industry & Function AI Decision Science Consultant

Accenture•Milwaukee, NY

20d

About The Position

Accenture is seeking an Insurance Industry & Function AI Decision Science Consultant to help clients use insurance domain expertise, advanced analytics, machine learning, and AI to reinvent processes, improve efficiency, and drive growth. The role involves creating decision-making systems and delivering innovative solutions aligned with client business needs. The consultant will work with technical and non-technical stakeholders, bridging business and technical domains while contributing to data science, AI, analytics, and machine-learning initiatives across consulting sales and delivery. The position includes identifying and evaluating AI use cases, building business cases and transformation roadmaps, and advising organizations on responsible AI adoption and governance. The consultant will also help train users, maintain solutions, track results, and communicate realized value. Travel may be required up to 80%, based on client expectations. The listed annual salary ranges vary by location: California $70,350–$205,800; Colorado, Connecticut, Maryland, and Minnesota $63,800–$177,800; District of Columbia and New Jersey $68,000–$189,300; Illinois $59,100–$177,800; Maine $54,400–$151,400; Massachusetts $63,800–$189,300; New York $66,300–$205,800; Ohio $59,100–$164,600; Virginia $59,100–$189,300; and Washington $80,200–$189,300. The posting is anticipated to remain open until 11/30/2026.

Requirements

Bachelor’s degree, preferably in Data Science, Computer Science, Statistics, or a related field.
At least 3 years of experience in data science, machine learning, AI, or advanced analytics.
At least 1 year of experience delivering project work in a consulting environment for insurance clients or experience in the insurance industry.

Nice To Haves

At least 3 years of experience building decision-based frameworks and models to drive insights.
At least 3 years of high-value consulting experience or equivalent internal consulting experience.
At least 3 years of experience leading workstreams and meeting deadlines.
At least 3 years of large-scale delivery experience with minimal help.
Proven track record of developing and implementing data-driven solutions.
Proficiency in programming languages such as Python, R, or SQL.
Experience with machine-learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
Strong analytical and problem-solving skills.
Experience with AI-native and cloud platforms such as OpenAI, Anthropic, AWS, Azure, or Google Cloud.
Knowledge of big data technologies such as Hadoop or Spark.
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems.
Familiarity with data visualization tools such as Tableau or Power BI.
Strong program management and verbal and written communication skills.
Fluency in spoken and written English.
Experience bringing innovative ideas to projects.
Master’s degree in Data Science, Computer Science, Statistics, or a related field.

Responsibilities

Assist in delivering data science, artificial intelligence, and analytics initiatives and programs.
Collaborate with onshore and offshore teams to execute projects.
Bridge business and technical domains for internal and external stakeholders.
Engage with business and analytics stakeholders to understand their needs and build relationships.
Contribute to sales solutioning for data science and machine-learning opportunities.
Develop and customize data science, machine-learning, AI, and analytics models and solutions for specific industry or functional business problems.
Collaborate across Accenture’s network with strategy, consulting, and technology teams in sales and delivery processes.
Identify AI use cases by understanding organizational goals and needs; develop business cases, determine ROI, and create transformation roadmaps.
Advise organizations on responsible AI adoption and governance.
Train users on new processes, maintain solutions, track results, and communicate realized value.
Travel as needed to meet client expectations, with travel of up to 80%.