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Internship Data Scientist Risk Jobs (NOW HIRING)

Data Science * Risk Analytics * Model Validation * Feature Engineering * Machine Learning * Fraud Detection * KYC Controls * AML Compliance * Data Transformation * Decision System Evaluation Soft ...

Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package ...

Risk Data Scientist Location: Downtown Boston, MA Employment Type: Exempt Full Time - 5 days in office - 50 hours Compensation: $112,000 - $155,000 + Full Benefit Package Day One * This position is ...

Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package ...

Data Scientist, Fraud Risk

New York, NY · On-site +1

$170K - $200K/yr

The Team The Risk team at Imprint builds the models, policies, and analytical systems that protect our credit card programs while delivering a fast and seamless member experience. As a Data Scientist ...

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we ... We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine ...

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Internship Data Scientist Risk information

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$46K

$165K

$243.5K

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

As of Sep 12, 2026, the average yearly pay for internship data scientist risk in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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 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 cities are hiring for Internship Data Scientist Risk jobs?

Cities with the most Internship Data Scientist Risk job openings:

What are the most commonly searched types of Data Scientist Risk jobs?

The most popular types of Data Scientist Risk jobs are:

What states have the most Internship Data Scientist Risk jobs?

States with the most job openings for Internship Data Scientist Risk jobs include:

What are popular job titles related to Internship Data Scientist Risk jobs?

For Internship Data Scientist Risk jobs, the most frequently searched job titles are:

Infographic showing various Internship Data Scientist Risk job openings in the United States as of June 2026, with employment types broken down into 52% Full Time, 39% Part Time, and 9% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist, Risk and Support

Seattle, WA • On-site

Full-time

Posted 2 days ago

New


Block rating

7.9

Company rating: 7.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us.

The Role

The Data Science team at Block turns unique customer and product data into decisions that expand access to financial services. Our Support and Risk team powers decisioning behind Cash App, Afterpay, Square, and the next generation of Operations automation.

We're looking for a Data Scientist to help build, measure, and improve Risk and Support Operations that serve our customers with speed and quality. You'll partner closely with product, engineering, and risk teams to define metrics, evaluate experiments, understand customer behavior, and turn ambiguous product questions into clear decisions.

This is an agentic data science role. You'll use AI tools and agent workflows to move faster and think more rigorously across the full data science loop: exploring messy datasets, building pipelines, stress-testing hypotheses, evaluating product changes, and turning analysis into decisions.

You Will
  • Turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners
  • Use AI tools and agent workflows to improve both the speed and quality of analytical work, from accelerating exploration and automating repetitive tasks to generating hypotheses and stress-testing conclusions
  • Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support
  • Define and maintain measurement frameworks for Support and Risk Operations,  including contact demand forecasting, Staffing modeling, queue health and optimization.
  • Partner with risk teams to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact
  • Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth
  • Approach ambiguous Risk and Support questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria
  • Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers
  • Lead technical direction and standards for the Block Data Science team - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others.
  • Drive localized cross-team impact by connecting measurement and insights across Support and Risk Operations and partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy.
  • Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations
You Have
  • A bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, economics, computer science, or a similar quantitative field with 6-8+ years of experience in a relevant role
  • Advanced proficiency with SQL and experience building clear, decision-oriented data visualizations
  • Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions
  • Experience using AI tools to improve the speed, quality, and durability of analytical work 

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.


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