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Internship Predictive Modeling Jobs in Washington

Demonstrated expertise gained through relevant internships, coursework, and personal projects that ... Deep understanding of predictive modeling, machine-learning, clustering and classification ...

Managing Economist

Washington, DC · On-site +1

$110K - $275K/yr

... predictive modeling, management of existing client relationships, development and presentation of ... Experience in generation and application of econometric modeling techniques * Prior internships or ...

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Prototype, develop, and deploy complex analytics models for client systems * Organize, manage, and ...

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Prototype, develop, and deploy complex analytics models for client systems * Organize, manage, and ...

... models, validation tools) that support FP&A workflows ... Analyze structured and unstructured data to extract insights, support predictive analysis, and ...

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Internship Predictive Modeling information

What is the difference between Internship Predictive Modeling vs Data Analyst?

AspectInternship Predictive ModelingData Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldsOften holds a degree in statistics, mathematics, or related disciplines
Work EnvironmentInternship setting, often in tech, finance, or marketing companiesFull-time or part-time roles in various industries including finance, healthcare, and retail
Employer & Industry UsageUsed in companies focusing on developing predictive models and machine learning applicationsCommon in organizations analyzing data trends, reporting, and decision-making

Internship Predictive Modeling focuses on developing and applying models to forecast outcomes, often as part of an internship program. Data Analysts interpret data, generate reports, and support business decisions. While both roles require analytical skills, predictive modeling emphasizes machine learning and statistical modeling, whereas data analysis centers on data interpretation and visualization.

Data Scientist - Predictive Analytics

JANSON

Fairfax, VA • On-site

Full-time

Posted 22 days ago


Job description

Description:

The Data Scientist-Predictive Analytics will serve as a key member of JANSON’s the evolution of Army logistics by developing, implementing, and sustaining intelligent agentic systems and predictive models. Responsible for leveraging a strong academic foundation, the candidate will utilize platforms like Palantir Foundry to transform raw supply chain data and unstructured maintenance records into actionable foresight. This leader will serve as a key point of the transition from academic theory to operational execution, bridging the gap between traditional supervised learning and modern Generative AI (GenAI) to solve complex logistics challenges in real-time. The ideal candidate is all contractor personnel shall possess an active Secret security clearance or be eligible for and able to obtain and maintain a Secret clearance. Personnel without an active clearance may perform unclassified preparatory work while clearance processing is underway..
Key Responsibilities

  • Model Development: Assist the principal data scientist in developing and tuning predictive models (e.g., predicting equipment failure, estimating lead times, or optimizing inventory levels).
  • Data Engineering Support: Assist in data validation, feature engineering, and quality checks on large-scale Army datasets to ensure model integrity.
  • Palantir Integration: Progressively develop expert-level skills in Palantir Foundry to build, update, and reuse predictive dashboards.
  • Training & Documentation: Help develop and update training materials, job aids, and technical documentation for predictive tools to ensure institutional adoption.
  • Sustainment: Support the reuse and long-term maintenance of analytics products and sustainment artifacts.

Minimum Qualifications

  • Master’s Degree (or near completion) in Data Analytics or a related quantitative field.
  • 0–2 years of relevant experience (including significant graduate-level research, labs, teaching or internships).
  • Strong Foundational Knowledge: Deep understanding of supervised learning algorithms, statistical inference, and predictive modeling workflows.
  • Tooling: Demonstrated proficiency in Python-based data science stacks (e.g., Pandas, Scikit-learn) and SQL.
  • Documentation: High attention to detail in technical writing and version control.

Preferred Qualifications

  • Specialized Coursework: Graduate-level focus on Supply Chain Analytics, Stochastic Processes, or Predictive Modeling.
  • Platform Exposure: Prior experience with Palantir Foundry or similar enterprise data platforms.
  • Military Context: Familiarity with Army logistics data (e.g., GCSS-Army, FED LOG) or prior military/government exposure.
  • Visualization: Experience creating compelling data stories using Tableau, Power BI, or integrated platform tools.
Requirements:
  • Secret Security Clearance: Active or eligibility to obtain and maintain.
  • Technical Proficiency: Advanced academic or professional experience in Python and SQL.
  • Analytical Communication: Ability to translate complex statistical and probabilistic AI outputs into clear, actionable insights for military and civilian decision-makers.
  • Operational Agility: Willingness to travel up to 20% for in-person training and operational support.
  • Collaborative Mindset: Capable of working within multi-disciplinary teams to pair human expertise with machine intelligence.