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Internship Data Scientist Risk Jobs in Raleigh, NC

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans ...

Truist

Data Scientist II

Raleigh, NC

... risk and also provide consultation to business leaders and other stakeholders on how to leverage ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

ABB

AI & Data Scientist Intern - Fall 2026

Cary, NC · On-site

$20 - $34/hr

Currently enrolled in a bachelor's or master's degree program in computer science, data science, or ... Internships at ABB within the United States are not eligible for company-sponsored medical benefits ...

ABB

AI & Data Scientist Intern - Fall 2026

Cary, NC · Hybrid

$20 - $34/hr

Currently enrolled in a bachelor's or master's degree program in computer science, data science, or ... Internships at ABB within the United States are not eligible for company-sponsored medical benefits ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Clever Devices Ltd.

Associate

Apex, NC · On-site

$70K - $75K/yr

The Associate, Data Science will perform data analysis of Clever Devices customers related to ... Prior internship or other work experience in a corporate environment. * Basic understanding of ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Prior internship or project experience in finance, asset management, or a related quantitative ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... cost, risk, and operational performance. This role sets technical direction and ensures the team ...

McGough

Manager, Data Science

Raleigh, NC

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... cost, risk, and operational performance. This role sets technical direction and ensures the team ...

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Prior internship or project experience in finance, asset management, or a related quantitative ...

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All JobsInternship Data Scientist Risk JobsInternship Data Scientist Risk Jobs in Raleigh, NC

Internship Data Scientist Risk information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

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

As of Jun 22, 2026, the average yearly pay for internship data scientist risk in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 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.
What are the most commonly searched types of Data Scientist Risk jobs in Raleigh, NC? The most popular types of Data Scientist Risk jobs in Raleigh, NC are:
What are popular job titles related to Internship Data Scientist Risk jobs in Raleigh, NC? For Internship Data Scientist Risk jobs in Raleigh, NC, the most frequently searched job titles are:
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Internship Data Scientist Risk jobs near you
Data Scientist

Data Scientist

Advance Auto Parts, Inc.

Raleigh, NC • On-site

Full-time

Posted 26 days ago

Job description

Job Description
Role Summary
We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions, productionizing models, and enabling robust ML platforms for enterprise-grade deployments.
This role is a hybrid work model (4 days in office, 1 day work from home) based out of our corporate headquarters located in Raleigh, NC
Key Responsibilities
  • Build ML Models: Design and implement predictive and prescriptive models for regression, classification, and optimization problems.Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • Train and Tune Models: Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
  • Collaboration & Communication: Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes.
  • Monitoring & Visualization: Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, Shapley values etc.
  • Productionize ML: Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation,
  • Own ML Platform: Stand up and operate core platform components-model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML.
  • Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events.
  • Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs.
  • Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
  • Partner & Mentor: Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews.
  • Hands-on Delivery: Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers.

Required Qualifications
  • Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred.
  • Programming: 5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, experience with Docker.
  • ML Experimentation: Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • ML Tooling: 5+ years experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML).
  • Pipelines & Orchestration: 5+ years' experience with Databricks DABS or Airflow or Step Functions, e-driven designs with EventBridge/SQS/Kinesis.
  • Cloud Foundations: 3+ years experience with AWS/Azure/GCP on various services like ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF. GCP experience is preferred.
  • Snowflake Foundations: Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark.
  • CI/CD: 3+ years hands-on experience with CodeBuild/Code Pipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
  • Feature Pipelines: Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning; parquet/iceberg best practices.
  • Testing & Monitoring: Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring.
  • Operational Mindset: Incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
  • Soft Skills: Clear communication, collaborative mindset, and a bias to automate & document.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.
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https://jobs.advanceautoparts.com/us/en/disclosures
Advance Auto Parts logo

About Advance Auto Parts

Sourced by ZipRecruiter

At Advance Auto Parts we have a passion for YES. Each day we are motivated by a passion to help our Customers. We have a commitment to advance the lives of our fellow Team Members, Customers, and the Communities where we live and work.

Industry

Motor vehicle and motor vehicle parts wholesalers, retail, internet and it and elementary and secondary schools

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US

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