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Listed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads data science strategy and execution for a global consulting firm, architecting and deploying advanced analytics solutions for enterprise clients in utilities, energy, and natural resources. It suits experienced practitioners who thrive on translating complex business problems into statistical models and mentoring technical teams at an enterprise scale.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- Data Integration
- Data Modeling
- Data Warehousing
- Machine Learning
- MLOps
- PySpark
- Python
- Scala
- SQL
- Statistical Modeling
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What they ask for
Required
- Bachelor's degree in Mathematics, Statistics, Computer Science, or related field
- 15+ years data science experience with focus on cloud services
- Solid foundation in statistical modeling and machine learning algorithms
- Expert knowledge of experimental test design
- Programming proficiency in Python, PySpark, SQL, or Scala
- Strong analytical and problem-solving abilities
- Excellent communication and stakeholder engagement skills
Nice to have
- Master's degree in Mathematics, Statistics, Computer Science, or related field
- Experience in Utilities, Energy, Chemical or Natural Resources sectors
- MLOps implementation experience
- Relevant certifications in Azure Data Services or cloud data engineering