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Fraud Detection Machine Learning Jobs in Kissimmee, FL

Apple

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

... detect difficult design bugs such as cross-block deadlock and livelock. - Provide technical ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

Apple

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

... detect difficult design bugs such as cross-block deadlock and livelock. - Provide technical ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... Experience handling global address normalization and geospatial indexing for risk detection ** All ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... Experience handling global address normalization and geospatial indexing for risk detection ** This ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... Experience handling global address normalization and geospatial indexing for risk detection ** This ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... Experience handling global address normalization and geospatial indexing for risk detection ** This ...

Florida Jobs

ELIGIBILITY SPECIALIST I

Orlando, FL · On-site

Learning numerous state and federal program regulations, through intensive training prior to full ... Reporting cases where identity theft or fraud is suspected. * Advising clients of deadlines, time ...

RPM Living

Maintenance Manager

Apopka, FL · On-site

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Kissimmee, FL

Fraud Detection Machine Learning information

See Kissimmee, FL salary details

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How much do fraud detection machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for fraud detection machine learning in Kissimmee, FL is $15.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.17 and $16.97 per hour, depending on experience, location, and employer.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are popular job titles related to Fraud Detection Machine Learning jobs in Kissimmee, FL?

For Fraud Detection Machine Learning jobs in Kissimmee, FL, the most frequently searched job titles are:

What job categories do people searching Fraud Detection Machine Learning jobs in Kissimmee, FL look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Kissimmee, FL are:

What cities near Kissimmee, FL are hiring for Fraud Detection Machine Learning jobs?

Cities near Kissimmee, FL with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you
Infographic showing various Fraud Detection Machine Learning job openings in Kissimmee, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $33,178 per year, or $16 per hour.

Predictive Analytics Specialist

Siemens Energy, Inc.

Orlando, FL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 5 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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