Data Scientist, Consultant (Utilities)
Guidehouse
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- PythonRSQLSparkPower BITableau
- Nice to have
- Data analysisData visualizationStakeholder managementMachine learning
- Work
- On-site in Atlanta
- Pay
- Not stated by the employer.
- Skill demand
- Python81%SQL66%Spark26%R4%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 9, 2026 · still open
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Key Responsibilities
- Perform data analysis and support the development of analytical solutions using tools such as Python, R, SQL, Databricks, Power BI, GIS, and other modern analytics platforms.
- Work with project team members and subject matter experts to understand client business needs, analytical objectives, and technical requirements.
- Support the design, development, testing, and implementation of data, analytics, and AI-enabled solutions for utility clients.
- Develop and maintain analytical workflows, datasets, dashboards, visualizations, and other decision-support tools.
- Analyze data, identify trends and insights, and contribute to the development of findings and recommendations for technical and non-technical audiences.
- Contribute to high-quality client deliverables while collaborating with multidisciplinary project teams.
Requirements & Tech Stack
- Bachelor’s degree from an accredited university.
- Minimum 0-2 years of overall work experience.
- Experience in applying data analytics, business intelligence, data science, or related quantitative methods is preferred.
- Exposure to one or more analytical or data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or similar technologies.
- Experience analyzing datasets and using quantitative methods to develop insights, solve problems, or support decision-making.
- Strong analytical and problem-solving skills, with attention to detail and a willingness to learn new tools, technologies, and business domains.
- US Citizenship is contractually required.
What Would Be Nice To Have
- Experience or demonstrated interest in electric, gas, water, or other energy-sector organizations and challenges.
- Strong written and verbal communication skills, including the ability to explain analytical concepts and findings clearly.
- Ability to work effectively on multiple assignments while collaborating with project teams and stakeholders.
- Exposure to cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques.
- Experience developing dashboards, visualizations, analytical models, data products, or decision-support tools through professional, academic, or personal projects.
- Relevant coursework, certifications, or advanced education in analytics, cloud technologies, data engineering, or related fields.