AI-Driven Decision Scientist

Accenture; Seattle (WA); On-site; USD 80,200 - 189,300; Full time

Job summary

Accenture in Seattle is seeking an AI & Data Decision Science Consultant to design, develop, and reinvent decision systems using advanced analytics and AI technologies. You will work with onshore and offshore teams to deliver data-driven solutions, bridging business and technical domains to create measurable value for clients.

The role requires hands-on experience in Python/R/SQL, ML frameworks, and cloud platforms. Travel up to 80% may be required as projects and client locations dictate.

Qualifications

• Minimum of 3 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
• Minimum of 3 years of experience building decision-based frameworks and models to drive insights.
• Minimum of 1 year of experience serving utilities clients or in a utilities finance, controllership, or regulatory function.

Responsibilities

• Assist in the delivery of Data Science, Artificial Intelligence, Analytics initiatives/programs.
• Collaborate with onshore and offshore teams to execute projects.
• Bridge between business and technical domains for internal and external purposes.
• Engage with stakeholders to understand needs and build relationships.
• Support sales by contributing to solutioning for DS & ML opportunities.
• Develop and customize DS/ML/AI/Analytics models for business problems.
• Collaborate across Accenture’s network with strategy, consulting, and tech teams.
• Identify AI use cases, develop business cases, ROI, and transformation roadmaps.
• Advise on adoption of responsible AI solutions and governance.

Skills

Data Science

Machine Learning

AI Technologies

Analytics

Communication

Education

Bachelor’s degree or equivalent

Tools

Python

R

SQL

TensorFlow

PyTorch

scikit-learn

Tableau

Power BI

Job description

Accenture in Seattle is seeking an AI & Data Decision Science Consultant to design, develop, and reinvent decision systems using advanced analytics and AI technologies. You will work with onshore and offshore teams to deliver data-driven solutions, bridging business and technical domains to create measurable value for clients.

The role requires hands-on experience in Python/R/SQL, ML frameworks, and cloud platforms. Travel up to 80% may be required as projects and client locations dictate.