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Internship Probabilistic Risk Assessment Jobs in Florida

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple ... probabilistic matching models) * Schema Design: Ability to design flexible ontologies that handle ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple ... probabilistic matching models) * Schema Design: Ability to design flexible ontologies that handle ...

Lockheed Martin

Program Planner - FL

Orlando, FL · On-site

... probabilistic/deterministic risk analysis, and developing corrective actions • Supporting ... Exposure to Schedule Risk Assessment process/tools * Ability to communicate utilizing different ...

Lockheed Martin

Program Planner - FL

Orlando, FL · Hybrid

... probabilistic/deterministic risk analysis, and developing corrective actions • Supporting ... Exposure to Schedule Risk Assessment process/tools * Ability to communicate utilizing different ...

Lockheed Martin

Program Planner - FL

Orlando, FL · On-site

... probabilistic/deterministic risk analysis, and developing corrective actions • Supporting ... Exposure to Schedule Risk Assessment process/tools * Ability to communicate utilizing different ...

Truist

Wholesale Credit Delivery Associate I

Miami, FL · On-site

... risk assessment and credit structure recommendations for clients and prospects. Takes ownership of ... through internships or other experiences; or an equivalent combination of educational and ...

Deloitte

System Test and Validation Lead

Lake Mary, FL · On-site +1

Apply risk-based validation principles to assess system impact, classify validation requirements ... Experience validating AI/ML-enabled systems, distinguishing deterministic and probabilistic tool ...

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All JobsProbabilistic Risk Assessment JobsInternship Probabilistic Risk Assessment JobsInternship Probabilistic Risk Assessment Jobs in Florida

Internship Probabilistic Risk Assessment information

What is the difference between Internship Probabilistic Risk Assessment vs Probabilistic Risk Assessment?

AspectInternship Probabilistic Risk AssessmentProbabilistic Risk Assessment
CredentialsTypically students or entry-level professionals with basic knowledgeProfessionals with specialized certifications or advanced degrees
Work EnvironmentInternship settings, training programs, or entry-level projectsFull-time roles in engineering, safety, or risk analysis teams
Industry UsageEducational and training purposes, entry-level exposureOperational risk assessments in industries like nuclear, oil & gas, or aerospace

Internship Probabilistic Risk Assessment is an entry-level, training-focused role for students or new professionals, often part-time or temporary. Probabilistic Risk Assessment is a professional, full-time role involving detailed risk analysis in high-stakes industries. The internship provides foundational experience, while the full role involves advanced analysis and decision-making.

What is an Internship in Probabilistic Risk Assessment?

An Internship in Probabilistic Risk Assessment (PRA) is a temporary position where students or recent graduates gain hands-on experience analyzing and quantifying risks associated with complex systems, often in industries like nuclear energy, aerospace, or engineering. Interns typically assist in developing mathematical models, performing simulations, and interpreting data to identify potential hazards and their likelihood. This role helps interns build practical skills in risk analysis, data interpretation, and technical communication under the guidance of experienced professionals.

What are some typical projects or tasks an intern in Probabilistic Risk Assessment can expect to work on?

As an intern in Probabilistic Risk Assessment, you can expect to be involved in tasks such as data collection and analysis, developing risk models, and assisting senior analysts in evaluating the likelihood and impact of various risk scenarios. You may also help prepare reports or presentations that communicate risk findings to other teams. Collaboration with engineers, data scientists, and subject matter experts is common, as risk assessment often draws on diverse expertise to ensure accurate modeling and interpretation. This hands-on experience provides valuable insight into both the technical and communicative aspects of risk assessment in a professional setting.

What are the key skills and qualifications needed to thrive as an Internship Probabilistic Risk Assessment, and why are they important?

To thrive as an Internship Probabilistic Risk Assessment, you need a solid background in mathematics, statistics, and engineering principles, often supported by coursework in risk analysis or reliability engineering. Familiarity with risk assessment software (such as SAPHIRE, RiskSpectrum, or CAFTA), statistical programming languages like Python or R, and relevant data analysis tools is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret complex data and convey findings clearly to multidisciplinary teams. These skills are essential for accurately identifying potential risks and contributing to safety and decision-making processes in technical industries.
What are the most commonly searched types of Probabilistic Risk Assessment jobs in Florida? The most popular types of Probabilistic Risk Assessment jobs in Florida are:
What are popular job titles related to Internship Probabilistic Risk Assessment jobs in Florida? For Internship Probabilistic Risk Assessment jobs in Florida, the most frequently searched job titles are:
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Internship Probabilistic Risk Assessment jobs near you

Data Platform Engineer

Worth AI

Orlando, FL • On-site, Remote

$106K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.

You'll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.

Responsibilities

What you'll do:

  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements

    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or "data-as-a-service" offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida

Benefits

    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources

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