Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global professional services organization helps businesses, governments, and other organizations transform their operations, strengthen their digital capabilities, accelerate growth, and create measurable value. Its capabilities span technology, cloud, artificial intelligence, data, consulting, strategy, operations, and industry-focused solutions.
You Are
Decision Science practitioners within the organization combine industry and functional expertise with agentic AI capabilities to design, develop, and reinvent business processes using AI to drive efficiency and growth.
The AI & Data Decision Science Consultant – Utilities Ind & Func will leverage advanced analytics, machine learning, and artificial intelligence technologies to develop decision-making systems. The role requires a strong analytical mindset, technical expertise, and the ability to communicate complex findings effectively to both technical and non-technical stakeholders.
The successful candidate will contribute to innovative data and AI solutions while helping organizations address business challenges and achieve measurable outcomes.
Key Responsibilities
- Assist in delivering Data Science, Artificial Intelligence, and Analytics initiatives and programs.
- Collaborate with onshore and offshore teams to execute projects effectively.
- Bridge business and technical domains for both internal and external stakeholders.
- Engage with business and analytics stakeholders to understand requirements and build strong relationships.
- Support the sales process by contributing to solution development for Data Science and Machine Learning opportunities.
- Develop and customize Data Science, Machine Learning, AI, and Analytics models and solutions for industry- and function-specific business challenges.
- Collaborate across organizational networks and partner with strategy, consulting, and technology teams throughout sales and delivery processes.
- Identify AI use cases by understanding organizational goals and areas of need.
- Develop business cases, determine potential return on investment, and create transformation roadmaps for AI initiatives.
- Advise organizations on the adoption of responsible AI solutions and governance.
- Train users on new processes and solutions while supporting implementation and ongoing maintenance.
- Track results and communicate the value achieved through AI and analytics initiatives.
- Bring innovative ideas and approaches to client projects.
- Travel as needed based on client expectations, with the ability to travel up to 80%.
Required Qualifications
- Minimum of 3 years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
- Minimum of 3 years of experience building decision-based frameworks and models to generate insights.
- Minimum of 1 year of experience serving utilities clients, including electric, gas, or water organizations, or experience within a utilities finance, controllership, or regulatory function.
- Bachelor’s degree or equivalent experience, including a minimum of 12 years of work experience.
- For candidates with an Associate’s degree, a minimum of 6 years of equivalent work experience is required.
Preferred Qualifications
- 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 capabilities.
- Experience working with AI-native and cloud platforms such as OpenAI, Anthropic, AWS, Azure, or Google Cloud.
- Knowledge of big data technologies such as Hadoop and Spark.
- Knowledge of agent-based modeling, reinforcement learning, and autonomous systems.
- Familiarity with data visualization platforms such as Tableau or Power BI.
- Strong program management and written and verbal communication skills.
- Demonstrated ability to introduce innovative ideas and approaches to projects.
- Master’s degree in Data Science, Computer Science, Statistics, or a related field.
Disclaimer
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