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Load Forecasting Jobs in Florida (NOW HIRING)

Sidram Technologies

Data Scientist

Juno Beach, FL · On-site

Onsite - 5 Days / Week - Juno Beach Florida JD:- Principal Data Scientist - Load & Renewable Generation Forecasting Position Specific Description The IT Forecasting team is seeking a Principal Data ...

TECO

Sr. Director of Pricing

Tampa, FL

Provides expert testimony on pricing, jurisdictional separation, cost of service analyses, and load research and forecasting and related policy for electric retail and wholesale business of Tampa ...

TECO

Sr. Director of Pricing

Tampa, FL · On-site

Provides expert testimony on pricing, jurisdictional separation, cost of service analyses, and load research and forecasting and related policy for electric retail and wholesale business of Tampa ...

1 point system

Lead Data Analyst

Miami, FL · On-site

... to forecast revenue, optimize pricing, and improve inventory management * Develop Power BI Dashboards to replace all Hyperion queries. Engineer and maintain robust data pipelines using modern ETL ...

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Load Forecasting information

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How much do load forecasting jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for load forecasting in Florida is $12.72, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $14.38 per hour, depending on experience, location, and employer.

What is the difference between Load Forecasting vs Load Data Analyst?

AspectLoad ForecastingLoad Data Analyst
CredentialsBachelor's in Engineering, Data Science, or related fields; certifications in data analysis or energy managementBachelor's in Data Science, Statistics, or related fields; certifications in data analysis tools
Work EnvironmentEnergy companies, utilities, or grid operators; focus on predictive modelingData-driven roles in various industries; focus on analyzing and interpreting data
Industry UsagePrimarily in energy, utilities, and power sectors

Load Forecasting involves predicting future energy demand using statistical and machine learning models, essential for grid stability. Load Data Analysts focus on analyzing existing energy data to identify trends and support decision-making. While both roles require data analysis skills, Load Forecasting emphasizes predictive modeling specific to energy consumption, whereas Load Data Analysts interpret historical data to inform strategies.

What are the key skills and qualifications needed to thrive as a Load Forecaster, and why are they important?

To thrive as a Load Forecaster, you need a strong background in mathematics, statistics, and energy systems, typically supported by a relevant degree such as engineering or applied mathematics. Proficiency with forecasting software, statistical analysis tools (like R or Python), and experience with SCADA or energy management systems is commonly required. Attention to detail, analytical thinking, and effective communication are standout soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate demand predictions, optimize resource allocation, and support reliable operation of power systems.

What is load forecasting?

Load forecasting is the process of predicting the future demand for electricity over a specific period. Utilities and energy companies use load forecasting to ensure that they can meet customer demand efficiently and reliably. Accurate load forecasts help with planning generation, purchasing energy, managing grid stability, and optimizing operational costs. Forecasts can be short-term (hours or days), medium-term (weeks or months), or long-term (years), and they are crucial for maintaining a stable and economical power supply.

What are some of the common challenges faced by professionals in load forecasting roles, and how are they typically addressed?

Professionals in load forecasting often encounter challenges such as adapting to rapidly changing consumption patterns, integrating new data sources (like smart meters or renewable generation), and accounting for unexpected events (e.g., weather anomalies or economic shifts). These challenges are usually addressed by leveraging advanced statistical models, machine learning techniques, and close collaboration with data engineers and grid operators. Regularly updating models and ongoing training help ensure forecast accuracy, while teamwork facilitates the incorporation of real-time data and feedback.
What are popular job titles related to Load Forecasting jobs in Florida? For Load Forecasting jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Load Forecasting jobs in Florida look for? The top searched job categories for Load Forecasting jobs in Florida are:
Load Forecasting jobs near you
Data AI Engineer - Rates, Cost of Service, Load Forecasting Systems

Data AI Engineer - Rates, Cost of Service, Load Forecasting Systems

NextEra Energy

Juno Beach, FL • On-site

Other

Posted 17 days ago

NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

21st of 50 rated energy and utility

Job description

Requisition ID:  95715 

Florida Power & Light Company is the largest electric utility in the U.S., providing reliable energy to nearly 12 million Floridians. With one of the nation's most fuel-efficient, cost-effective power generation fleets and industry-leading reliability, we're redefining what's possible in energy. Want to be part of something powerful? Join our outstanding team and help shape the future of energy.

Position Specific Description

This position is responsible for designing, developing, and supporting scalable data, platform, and AI solutions that enable enterprise analytics, reporting, and advanced data products. 

The role combines data engineering, application development, analytics, and applied artificial intelligence (AI), with a focus on building data pipelines, backend services, and cloud-based data platforms (Databricks, AWS). 

This is not a pure software engineering role and not a requirements-driven delivery role. The individual is expected to operate as an embedded business partner within Rates, Cost of Service (COS), Load Forecasting, and Load Research functions. 

The position requires strong domain knowledge and the ability to proactively design data and AI-enabled solutions, including intelligent automation and AI agents that improve analytical workflows and business processes. 

Job Duties and Responsibilities

  • Design, develop, and maintain ETL/ELT data pipelines 

  • Develop backend services and APIs supporting data and analytics platforms 

  • Build and manage workflows within Databricks environments 

  • Utilize AWS services for data ingestion, processing, and deployment 

  • Apply AI capabilities for automation, analytics, and decision support 

  • Develop AI agents and intelligent workflow automation solutions 

  • Work embedded with Rates, Cost of Service, Load Forecasting, and Load Research teams 

  • Translate business problems into scalable technical and analytical solutions 

  • Perform data analysis and support business decision-making 

  • Provide operational and system support for data and AI platforms 

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field 

  • Experience developing data pipelines and backend services 

  • Proficiency in SQL and at least one programming language (e.g., Python, JavaScript) 

  • Experience with cloud environments (AWS preferred) 

  • Strong analytical and problem-solving skills 

  • Experience or demonstrated interest in AI, automation, or data-driven systems 

  • Ability to work directly with business stakeholders and translate needs into solutions 

Preferred Qualifications

  • Experience with Databricks or Spark-based platforms 

  • Experience in Rates, Cost of Service, Load Forecasting, or utility analytics 

  • Experience building AI-driven solutions, automation workflows, or AI agents 

  • Familiarity with data governance and enterprise data environments 

Key Compentencies

  • Data Engineering 

  • Backend Development 

  • Databricks 

  • AWS Cloud Platforms 

  • AI and Intelligent Automation 

  • Business Domain Integration 

  • Analytical Problem Solving 

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