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Internship Data Scientist Risk Jobs in Remote, OR

SOSi

Senior Data Scientist

OR

... risk assessment, and decision-making processes. * The contractor shall conduct data provenance ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

SOSi

Senior Data Scientist

OR · On-site +1

... risk assessment, and decision-making processes. * The contractor shall conduct data provenance ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

Atos

Head of AI

OR · On-site +1

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ... Ensure high-quality delivery across AI engagements, with strong governance, risk management, and ...

Atos

Head of AI

OR · On-site +1

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ... Ensure high-quality delivery across AI engagements, with strong governance, risk management, and ...

Syniti

Intern

OR · On-site +1

$14 - $18.75/hr

... data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling ... This internship offers hands-on experience in a fast-paced technology environment, with exposure to ...

Syniti

Intern

OR

$14 - $18.75/hr

... data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling ... This internship offers hands-on experience in a fast-paced technology environment, with exposure to ...

Bausch + Lomb

Director, Clinical Development

OR · On-site +1

$75K - $102K/yr

Provide scientific oversight throughout study conduct, including ongoing medical/scientific data ... Represent Clinical Development in governance forums, presenting program updates, risk assessments ...

Infiltrator Water Technologies

IWT

Sutherlin, OR

$81K - $110K/yr

Manage safety data systems, analytics, and OSHA recordkeeping to identify trends and drive ... Bachelor's degree in Occupational Safety & Health, Environmental Science, Industrial Hygiene, or ...

Infiltrator Water Technologies

EHS Manager

Sutherlin, OR · On-site

$81K - $110K/yr

Manage safety data systems, analytics, and OSHA recordkeeping to identify trends and drive ... Bachelor's degree in Occupational Safety & Health, Environmental Science, Industrial Hygiene, or ...

Infiltrator Water Technologies

EHS Manager

Sutherlin, OR

$81K - $110K/yr

Manage safety data systems, analytics, and OSHA recordkeeping to identify trends and drive ... Bachelor's degree in Occupational Safety & Health, Environmental Science, Industrial Hygiene, or ...

Infiltrator Water Technologies

IWT

Sutherlin, OR

... safety, risk assessments (TRA), mitigation strategies, ergonomics assessments, and Life Saving ... Bachelor's degree in Occupational Safety & Health, Environmental Science, Industrial Hygiene, or ...

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Internship Data Scientist Risk information

See Remote, OR salary details

$46K

$164.9K

$243.3K

How much do internship data scientist risk jobs pay per year?

As of Jun 21, 2026, the average yearly pay for internship data scientist risk in Remote, OR is $164,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $169,800.00 per year, depending on experience, location, and employer.

What does an Internship Data Scientist Risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What are the key skills and qualifications needed to thrive as an Internship Data Scientist in Risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

What types of projects can an internship data scientist in risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.
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Internship Data Scientist Risk jobs near you

Senior Data Scientist

SOSi

OR

Full-time

Posted 6 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment. 
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:

  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.
Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

Apply