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Predictive Analytics Jobs in Florida (NOW HIRING)

RSM

Talent Analytics Sr Analyst (Location Flexible)

Tampa, FL · On-site

$83K - $110K/yr

Advanced Predictive Analytics & Modeling: Contribute to predictive models using machine learning and natural language processing techniques. Your work will directly contribute to strategic decision ...

Ra

Customer Analytics Senior Manager

Miami, FL

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Tampa, FL

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Ra

Customer Analytics Senior Manager

Tallahassee, FL

Who holds 3-5+ years of experience Customer Analytics delivery Who holds 3+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications ...

Techvilla Solutions

Data Scientist

Chuluota, FL

Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems. * Analyze large and complex datasets to identify trends ...

Techvilla Solutions

Data Scientist

Orlando, FL

Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems. * Analyze large and complex datasets to identify trends ...

Techvilla Solutions

Data Scientist

Enterprise, FL

Develop and implement statistical models, predictive analytics solutions, and machine learning models to address complex business problems. * Analyze large and complex datasets to identify trends ...

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Predictive Analytics information

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$20.2K

$84.2K

$149.8K

How much do predictive analytics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for predictive analytics in Florida is $84,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $91,900.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Florida?

The most popular types of Predictive Analytics jobs in Florida are:

What are popular job titles related to Predictive Analytics jobs in Florida?

For Predictive Analytics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics jobs in Florida look for?

The top searched job categories for Predictive Analytics jobs in Florida are:

What cities in Florida are hiring for Predictive Analytics jobs?

Cities in Florida with the most Predictive Analytics job openings:

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Florida as of August 2026, with employment types broken down into 1% Internship, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $84,236 per year, or $40.5 per hour.

Predictive Analytics Specialist

Siemens Energy, Inc.

Orlando, FL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Key responsibilities

  • Develop and apply data-driven and AI-based methods to analyze industrial time-series data.

  • Support the development, testing, and validation of Predictive Analytics and AI models.

  • Collaborate with domain experts and stakeholders to translate questions into analytical tasks.

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

118th of 496 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
As an experienced Professional member of our Digital Core organization, you contribute to the Predictive Analytics team by developing and applying data-driven and AI-based methods to support improved decision-making across the Siemens Energy value chain. You work hands-on with industrial time-series data, combining solid analytical foundations with modern AI techniques to identify patterns, anomalies, and insights in complex systems.
In close collaboration with senior experts, business stakeholders, and external partners (including academia), you support the development and deployment of analytics solutions that bridge rigorous analytical thinking with tangible business impact.
Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Digital Core AI team plays a significant role in driving the energy transformation. Honestly, we don't have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can't do it alone.
Our team is looking for curious, analytically strong early-career data and AI experienced professionals who enjoy working at the intersection of theory and real-world industrial applications.
How You'll Make an Impact
  • Apply data analytics, statistical methods, and AI techniques to analyze complex industrial time-series data. Support the development, testing, and validation of Predictive Analytics and AI models under guidance of senior team members
  • Contribute to use cases such as anomaly detection, condition monitoring, forecasting, and root-cause analysis in operational data
  • Work with domain experts and business stakeholders to translate technical and business questions into structured analytical tasks
  • Balance academic rigor (sound methods, validation, documentation) with a strong focus on practical impact and scalability
  • Assist in documenting methodologies, results, and best practices to enable reuse across projects and teams. Collaborate with internal teams and external partners from industry and academia on analytics and AI initiatives
What You Bring
  • Master's degree in data science, computer science, physics, mathematics, engineering, or a related quantitative field; PhD is a plus
  • Strong foundation in data analytics, statistics, and machine learning. Relevant business experience or strong academic background in time-series analysis, including feature engineering using autoregressive techniques and advanced machine-learning and deep-learning approaches for real-world data.
  • 2+ years of Hands-on experience with programming languages and tools for data analysis and AI (e.g., Python, R, JavaScript and TypeScript, SQL, TensorFlow, PyTorch)
  • Ability to structure analytical problems, work with large and complex datasets, and communicate results clearly. Intellectual curiosity, motivation to learn, and ability to work effectively in a multidisciplinary, global team environment
  • Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
About the Team
The Digital Core AI organization has been established and designed to help Siemens Energy achieve its mission by leveraging powerful AI capabilities to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: [1] https://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities; supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
#LI-CDS
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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