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Internship Data Scientist Risk Jobs in Pennsylvania

Vanguard

Data Scientist, Specialist

Malvern, PA

As a Senior Data Scientist, you will lead the development of the next generation AI/ML solutions ... and ongoing risk assessment. * Leads and executes deep dive diagnostic, predictive, and ...

Vanguard Group

Data Scientist, Specialist

Malvern, PA · On-site

... and ongoing risk assessment. * Leads and executes deep dive diagnostic, predictive, and ... Mentors and develops junior data scientists and analysts. * Establishes and enforces data quality ...

Perpay Inc.

Data Scientist Manager

Philadelphia, PA · On-site

The Data Scientist Manager will lead a team responsible for modeling work that influences key ... Preferred : • Experience with modern LLM tooling. • Experience in risk decisioning service ...

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

... risk. The company is growing rapidly, and we want to set the foundation for accelerating our ... We are currently designing, building, and optimizing our core data science offerings and looking ...

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

... risk. The company is growing rapidly, and we want to set the foundation for accelerating our ... We are currently designing, building, and optimizing our core data science offerings and looking ...

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

... risk. The company is growing rapidly, and we want to set the foundation for accelerating our ... We are currently designing, building, and optimizing our core data science offerings and looking ...

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

... risk. The company is growing rapidly, and we want to set the foundation for accelerating our ... We are currently designing, building, and optimizing our core data science offerings and looking ...

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA

Align solutions with enterprise risk management, compliance, and responsible AI standards. Thought ... MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field ...

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Internship Data Scientist Risk information

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 Pennsylvania? The most popular types of Data Scientist Risk jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Internship Data Scientist Risk jobs? Cities in Pennsylvania with the most Internship Data Scientist Risk job openings:
Internship Data Scientist Risk jobs near you

Data Scientist, Specialist

Vanguard

Malvern, PA

Full-time

Re-posted 9 days ago

Job description

As a Senior Data Scientist, you will lead the development of the next generation AI/ML solutions for Vanguard Workplace Solutions. Leveraging state-of-the-art AI capabilities in machine learning, advanced analytics and generative AI, you will design and build innovative solutions to enhance efficiency, improve client experience and drive impactful strategies. You will explore emerging AI methodologies, assess their business applications, and help foster a culture that champions innovation, business impacts and continuous learning. In this role, you will collaborate closely with a group of data scientists, machine learning engineers, data engineers and product managers to deliver high-impact AI-powered solutions.

Responsibilities:

  • Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.
  • Establishes and enforces data quality standards for modeling use, including diagnosing data issues, documenting assumptions and limitations, and filling data gaps in ways that balance rigor, practicality, and risk.
  • Partners with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides research design, model evaluation, validation, and monitoring strategies, providing expert judgment on model performance, stability, and appropriate use. Serves as a trusted technical voice on cross‑functional initiatives involving advanced analytics or machine learning.
  • Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community.
  • Prepares and delivers clear, insightful presentations with recommended actions. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.

Qualifications:

  • Minimum of five years of related work experience in data science or analytical roles. Strong experience utilizing statistical and machine learning methods required. Experience with large language models, knowledge graph and generative AI required.
  • Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and associated AI services and tools.
  • Strong stakeholder Management and excellent communication skills.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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