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Intern Data Scientist Machine Learning Jobs in Oregon

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

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 ...

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 ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global ...

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Intern Data Scientist Machine Learning information

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Oregon?

The most popular types of Data Scientist Machine Learning jobs in Oregon are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Oregon?

For Intern Data Scientist Machine Learning jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Oregon look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Oregon are:

What cities in Oregon are hiring for Intern Data Scientist Machine Learning jobs?

Cities in Oregon with the most Intern Data Scientist Machine Learning job openings:

Infographic showing various Intern Data Scientist Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Concora Credit Inc.
Finance and Insurance • 501 - 1,000 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Partner with Credit Risk to build production machine learning models for lending decisions and customer interactions

  • Assess the quality, risk, and effectiveness of various modeling methodologies, algorithms, and business processes

  • Design, develop, and deploy infrastructure for training, testing, and serving models at scale


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

As our Data Scientist, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.

The impact you'll have at Concora Credit:

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize underwriting, marketing, and fraud strategies, understand business performance, and identify improvement opportunities. This position offers growth opportunities for someone who is passionate about analyzing business performance, making data-driven decisions, and testing and optimizing strategy.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Data Scientist, you will:

  • Partner with Credit Risk to build production machine learning models; your models will determine who we lend to and how we interact with existing customers
  • Assess the quality and risk of various model methodologies, algorithms, outputs, and business processes
  • Develop our understanding of new data sources and how they may improve our existing processes and credit decisions
  • Design, develop, and deploy infrastructure for the training, testing, and serving of models at scale
  • Develop benchmark and challenger models to effectively challenge critical modeling decisions
  • Develop explainability and monitoring tools to enable the responsible use of statistical machine learning models and adhere to regulatory guidelines
  • Develop and maintain high quality and transparent model documentation.
  • Communicate your insights and solutions at all levels of the organization through effective presentations and technical reports
  • Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data
  • Identify business challenges and opportunities, using modeling and analytics to deliver strategic or tactical recommendations
  • Expand Concora Credit's capabilities in risk, marketing and operational analytics
  • Partner with leaders to develop an enterprise modeling long term road map across the enterprise. Be focused on execution, and ensure that models are implemented successfully and timely in production
  • As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training opportunities

 

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • M.S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of industry experience in statistical modeling and analytics, preferably in the Finance industry, or Ph.D in field mentioned above with 1-3 years of relevant experience
  • 2+ years in data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into testable hypotheses and/or next steps
  • Deep understanding and experience with data analysis, and statistical and machine learning models
  • Strong foundation in machine learning with experience implementing and optimizing machine learning models
  • Knowledgeable in applied statistics (e.g., hypothesis testing, regression techniques, probability, structured and un-structured learning algorithms, time series analytics, forecasting)
  • Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus
  • Strong Programming skills in Python and/or R (Python preferred)
  • Predictive modeling experience with a quantitative background is preferred
  • Experience working with consumer or business lending data is preferred
  • Excellent problem solver, disciplined attention to detail, great communicator
  • Strong ability to work proactively and collaboratively in a cross-functional team to drive results
  • Strong quantitative skills and communication skills - verbal and written

 

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME

What Concora Credit employees say

Pay

Hours and flexibility

Workplace

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