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Internship Data Scientist Risk Jobs in Illinois (NOW HIRING)

PayPal

Sr Data Scientist

Chicago, IL · On-site

$123K - $183K/yr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

PayPal, Inc.

Sr Data Scientist

Chicago, IL · On-site

$123K - $183K/yr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

Brookfield

Sr P&C Data Scientist

Chicago, IL · On-site

The Senior P&C Data Scientist owns the development and improvement of analytical models and ... Follow model development best practices and model risk governance standards Business Partnership ...

Vizient, Inc.

Lead Data Scientist

Chicago, IL · On-site

You will design scalable data science products, translate sophisticated analytical findings into ... risk, latency, cost, safety, and consistency measures. * Make key analytical and architectural ...

Vizient

Lead Data Scientist

Chicago, IL · On-site

You will design scalable data science products, translate sophisticated analytical findings into ... risk, latency, cost, safety, and consistency measures. * Make key analytical and architectural ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities * Support the implementation of models by working closely ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities * Support the implementation of models by working closely ...

TEKsystems

Senior Data Scientist

Chicago, IL · Remote

$100 - $115/hr

... Risk Scoring,Priortiziation Modeling What the Hiring Manager Wants - Research-minded data scientist ... not just a model user - Evidence of owning and designing ML solutions from scratch - Strong problem ...

Transunion

Lead Data Scientist

Chicago, IL

$100K - $160K/yr

... of Data Science & Analytics. The Financial Services Analytics team is an industry recognized ... This position is responsible for developing credit risk management and business intelligence ...

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All JobsData Scientist Risk JobsInternship Data Scientist Risk JobsInternship Data Scientist Risk Jobs in Illinois

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 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 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 Illinois? The most popular types of Data Scientist Risk jobs in Illinois are:
Internship Data Scientist Risk jobs near you

Lead Data Scientist

Independence Pet Group

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.
We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.
Job Summary:
IDEA (IPH Data & Enterprise Analytics) is IPH's enterprise data organization responsible for building and operating the data platform, governance framework, and analytics capabilities that power decision-making across all brands. The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars-Data Strategy & Planning, Infrastructure & Data Engineering, Enterprise Data Governance, and Analytics & Reporting-IDEA partners with teams across the organization to architect, manage, and activate data & analytics so every IPH team can make faster, smarter, and more informed decisions.
As a result, we are looking for a Lead Data Scientist to join the organization.
The Lead Data Scientist will lead the development and application of advanced data science and analytical solutions to drive pricing, risk, customer, and operational insights across IPH's pet insurance portfolio. While the role is focused on pet insurance, we value candidates with experience in e-commerce, subscription businesses, or other consumer-facing industries who can bring diverse analytical approaches-such as LTV modeling, segmentation, A/B testing, and paid media analytics-to help innovate and optimize the business. Beyond model development, this role will frame complex business problems, translate analytical findings into clear and actionable insights, and partner closely with stakeholders across product, marketing, actuarial, and operations to drive data-informed decisions. Reporting to the Head of Analytics, the Lead Data Scientist will help shape the data science roadmap, champion best practices in experimentation and modeling, and contribute to building a strong analytical culture across IPH.
Job Location:
  • Hybrid - Chicago, Cleveland, Scottsdale/Phoenix, New York City

Main Responsibilities:
  • Develop predictive and prescriptive models to support pricing, risk, customer, and operational decision-making across the pet insurance portfolio
  • Apply advanced statistical and machine learning techniques to a variety of business problems, including customer behavior, retention, and marketing performance
  • Mentor other data scientists and analytics talent as needed, and develop data science rigor and expertise across the organization
  • Partner with actuarial, product, and analytics teams to set data science goals and objectives and translate business questions into analytical solutions
  • Collaborate with engineering and analytics teams to deploy models into production and ensure scalable, maintainable solutions
  • Communicate insights and recommendations to technical and non-technical audiences, leveraging learnings from insurance and other consumer-facing industries

Qualifications:
  • 6+ years of professional data science or advanced analytics experience with a BS/MS, or 4+ years of experience with a PhD in a quantitative field
  • Strong Python and SQL expertise
  • Experience with large-scale datasets, structured and unstructured
  • Familiarity with analytics engineering concepts or hands-on experience is a plus

Preferred Qualifications:
  • Pricing, underwriting, or risk modeling experience
  • Experience in insurance or regulated industries
  • Experience with cloud-based platforms (Databricks, Snowflake, or similar) and notebook-based workflows
  • Experience with dbt (data build tool) or related data transformation approaches
  • Exposure to concepts common in P&C, ecommerce, subscription, or marketing analytics (LTV, segmentation, A/B testing, etc)

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:
  • Comprehensive full medical, dental and vision Insurance
  • Basic Life Insurance at no cost to the employee
  • Company paid short-term and long-term disability
  • 12 weeks of 100% paid Parental Leave
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Personal Paid Time Off
  • Paid holidays and company-wide Wellness Day off
  • Paid time off to volunteer at nonprofit organizations
  • Pet friendly office environment
  • Commuter Benefits
  • Group Pet Insurance
  • On the job training and skills development
  • Employee Assistance Program (EAP)

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