AI & Data Decision Science Consultant - Utilities at Accenture
Atlanta, GA
$54,400–$205,800from the description
Jul 14, 2026
Atlanta, GA
Jul 21, 2026
What this job asks for AI summary
A consulting role focused on building and deploying data science, machine learning, and AI solutions for clients, with a particular emphasis on the utilities sector. Day-to-day work spans developing predictive models and decision frameworks, identifying AI use cases, supporting sales efforts, and advising clients on responsible AI adoption. Suited to candidates with at least three years in data science or advanced analytics who can operate across both business and technical domains.
Mid level · 3+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 5 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is titled 'AI & Data Decision Science Consultant' with no explicit seniority level in the title — advertised seniority is Unspecified. The 3-year minimum experience requirement and scope (project delivery contributor, not team lead) support a Mid-level classification.
The role has a strong consulting/advisory dimension (stakeholder engagement, sales solutioning, ROI/business case development), which creates some ambiguity between Data Scientist (15-2051) and Computer Systems Analyst (15-1211); 15-2051 was chosen as primary because the core technical work is explicitly ML/AI model development and advanced analytics.
A Bachelor's degree is listed under 'Here's What You Need' but the JD explicitly accepts equivalent work experience in lieu of a degree ('Bachelor's degree or equivalent (minimum 12 years' work experience)'), so the degree requirement is set to None.
All programming languages, ML frameworks, cloud platforms, big data tools, and visualization tools appear exclusively under the 'Bonus points if' section and are therefore preferred, not required.
The role requires up to 80% travel; it is not remote.
Compensation ranges vary significantly by state (from $54,400 in Maine to $205,800 in California/New York/New Jersey). The figures shown reflect the full span across all listed locations.
Utilities industry experience (electric, gas, or water) of at least 1 year is a hard gate listed under 'Here's What You Need' but names no specific technology or tool, so it is captured in the notes rather than as a skill.
Read the full posting
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