Data Scientist, Consultant (Utilities)
Apply Job ID 42467 Date posted 07/31/2026Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
What You Will Do
Perform data analysis and develop analytical solutions using tools such as Python, R, Snowflake, SQL, Databricks, Power BI, GIS, and other modern analytics platforms to address complex client business challenges.
- Partner with utility clients and Guidehouse subject matter experts to define business objectives, analytical approaches, technical requirements, and actionable recommendations.
- Design, develop, test, and implement data, analytics, and AI-enabled solutions that support utility clients' business objectives.
- Translate business needs into scalable analytical workflows, data products, dashboards, visualizations, and decision-support tools.
- Present findings and recommendations to technical and non-technical audiences, helping clients gain confidence in data-driven decisions.
What You Will Need
Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline
ONE (1) or more years of professional experience applying data analytics, business intelligence, data science, or related quantitative techniques to solve complex business problems
Experience with analytical and data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or similar technologies.
Experience working with large and complex datasets and developing analytical solutions from concept through implementation.
What Would Be Nice To Have
Experience supporting electric, gas, water, or other energy-sector organizations.
Strong communication and consulting skills, including the ability to translate technical concepts into business insights and recommendations.
Ability to manage multiple priorities while collaborating effectively with clients, stakeholders, and multidisciplinary teams.
Familiarity with utility business functions such as customer programs, DERs, electrification, asset management, operations, regulatory planning.
Experience with cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques.
Experience developing dashboards, data products, or decision-support applications for business users.
Experience working in a consulting or client-facing environment.
Master's degree or relevant certifications in analytics, cloud technologies, or data engineering.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
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