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Internship Data Scientist Risk Jobs in Pennsylvania

U.S. Department of Defense (DOD)

$125K/yr

To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and ... Ensures the Al systems are designed for auditability to manage Al risk assessment policies and ...

Jj

Principal Scientist Data Science

Spring House, PA · On-site

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... risk management. * Adapt large language models (LLMs) for tailored information extraction and to ...

PassFort

Asst Dir - Data Scientist

King Of Prussia, PA · On-site

$100 - $130/hr

We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed ... Education * Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance ...

Lincoln Financial

Sr. Data Scientist

Radnor, PA · On-site +1

Evaluate model and agent architecture choices, balancing accuracy, latency, cost, and risk ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

Lincoln Financial

Sr. Data Scientist

Radnor, PA · On-site +1

Evaluate model and agent architecture choices, balancing accuracy, latency, cost, and risk ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

Lincoln Financial

Sr. Data Scientist

Radnor, PA · On-site

Evaluate model and agent architecture choices, balancing accuracy, latency, cost, and risk ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

Sporting Kansas City

Lead and leverage sport science interns to maximize data science efficiency and grow the department. * Provide insights into workload trends, performance benchmarks, return-to-play indicators, and ...

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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 types of projects can an internship data scientist 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 key skills and qualifications needed to thrive as an internship data scientist 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.

How much does an internship data scientist risk earn?

An internship data scientist risk typically earns between $15 and $25 per hour, depending on the company, location, and level of education. Internships often provide valuable experience in data analysis, programming, and risk assessment tools like Python or R. Compensation varies based on industry and whether the internship is paid or unpaid.

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 Team Lead

Geisinger Health

Danville, PA • On-site, Remote

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Geisinger Health rating

6.9

Company rating: 6.9 out of 10

Based on 448 frontline employees who took The Breakroom Quiz

456th of 891 rated healthcare providers

Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
The Data Scientist Team Lead leads a team of data scientists and analysts focusing on managing, mentoring, and developing their careers. This role emphasizes team leadership, ensuring program success, professional development, and the strategic allocation of resources to meet organizational goals. The Data Scientist Team Lead collaborates with Quality & Safety stakeholders to align team efforts with business priorities, fosters a collaborative and innovative team environment, and ensures the delivery of high-quality data science solutions. This role provides critical feedback on translating stakeholder needs to technical specifications and oversee successful delivery.
Job Duties:
  • Leads and manages a team of data scientists and analysts, providing direction, support, and guidance.
  • Lead evaluation of AI enabled initiatives, including impact assessment, risk analysis, and mitigation planning.
  • Oversees recruitment, hiring, and onboarding of new team members.
  • Conducts regular performance evaluations and provide constructive feedback.
  • Develops and implements mentoring programs to support the professional growth of team members.
  • Identifies training needs and opportunities for skill enhancement.
  • Encourages knowledge sharing and collaboration within the team.
  • Collaborates with senior leadership to define data science strategies and objectives.
  • Prioritizes projects and allocates resources effectively to meet organizational goals.
  • Monitors project progress and adjust plans as necessary to ensure timely delivery.
  • Acts as a liaison between the data science team and other departments.
  • Understands business needs and translate them into actionable data science projects.
  • Communicates project updates and insights to stakeholders at various levels
  • Establishes standards and best practices for data science methodologies and workflows.
  • Ensures the delivery of high-quality analytical solutions that meet business requirements.
  • Promotes the adoption of robust validation and testing procedures.
  • Provides technical guidance in statistics, AI/ML, and software best practices. Lead code reviews and enforce best practices in coding standards, model development, and deployment processes.
  • Actively participates in coding and development work (typically 50% of the time), developing and deploying robust machine learning models for diverse healthcare applications, such as risk prediction, diagnostics, treatment optimization, resource allocation and performance improvement.
  • Partners with clinicians, researchers, operational teams, and product managers to identify critical challenges, assess technical feasibility, and translate requirements into data-driven solutions.
  • Ensures system quality, integrity, and security by adhering to relevant Geisinger AI and data health standards and governance.

Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
*Relevant experience may be a combination of related work experience and degree obtained (Master's Degree = 2 years; PHD = 4 years ).
Position Details:
Preferred Skills:
  • Experience with Quality & Safety Analytics
  • Databricks
  • Python
  • SQL
  • Advanced statistical analysis
  • Machine learning
  • Emerging AI technologies and implementation (LLMs, RAG, GenAI, Agentic workflow integrations and deployment)

Education:
Bachelor's Degree- (Required)
Experience:
Minimum of 6 years-Relevant experience* (Required)
Certification(s) and License(s):
Skills:
Analyzing, processing and building AI/ML solutions from Clinical and Operational data sources, such as Epic Clarity, HL7, DICOM, or ECG data, Clinical Databases, Communication, Critical Thinking, Data Analysis, Data Presentations, Group Collaboration, Leadership, Machine Learning Methods, Programming Languages, Structured Query Language (SQL)
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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