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Internship Data Scientist Risk Jobs (NOW HIRING)

TAD PGS, Inc.

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... predictive risk models backed by statistical analysis and supports data-driven solutions ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

TAD PGS, Inc

Data Scientist

Washington, DC · On-site

$52.88 - $57.69/hr

... predictive risk models backed by statistical analysis and supports data-driven solutions ... Experience with data science tools and software such as Microsoft Power BI, Anaconda, and ...

RELX

Data Scientist

Alpharetta, GA

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Our insurance risk solutions help drive better data-driven decisions across the insurance policy ...

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact? Do you enjoy solving complex analytical challenges, working with large-scale data ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Govcio LLC

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

Early data science input during IOC ensures that data collected will be suitable for downstream AI development, reducing risk and accelerating capability maturation during follow-on implementation

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ... As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ...

State Farm

Data Scientist

Richardson, TX · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

GC-Squared Resources, LLC

Data Scientist

Preferred : • Prior internship or project experience involving industrial IoT sensor data and ... physical science discipline • Research publications or patents in equipment reliability ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

Data Scientist The Opportunity: In this role, you will apply data science techniques and methods ... risk, and develop courses of action. Employ expert judgment, adaptable methodologies, repeatable ...

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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 Aug 2, 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 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 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:
Internship Data Scientist Risk jobs near you
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.

Data Scientist

TAD PGS, Inc.

Washington, DC • On-site

$52.88 - $57.69/hr

Contractor

Medical, Retirement

Re-posted yesterday

Job description

We have an outstanding Contract position for a Data Scientist to join a leading Company located in the Washington, DC surrounding area.

Pay Rate: $52.88 - $57.69

**US Citizenship is required.**
**Candidate must possess an Active Top Secret/SCI Security Clearance.**

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the customer's business intelligence reporting capabilities, with a particular focus on IT, cybersecurity, and finance business data, in addition to traditional data science techniques. This position works to support the developer in the creation, maintenance, and improvement of products, primarily in the Power Platform suite, that facilitate comprehensive end-to-end data collection, transform raw data into actionable business insights through statistical analysis, KPI development, PowerBI dashboarding, and proven machine learning methods, and reduce or eliminate manual effort in data processing by automating common processes. The data scientist will propose, implement, and leverage AI and ML solutions to advance the customer's business intelligence capabilities. Data science tasks will include analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, triggers, and implementing business intelligence and data warehousing solutions. Mine data using state-of-the-art methods. 

Responsibilities:
  • Builds, maintains, and improves dashboards, applications, and automations within the Power Platform (PowerBI, Power Automate, and PowerApps), SharePoint, and InfoPath environments to reduce or eliminate manual effort in data processing by automating common processes. 
  • Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL). 
  • Builds predictive risk models backed by statistical analysis and supports data-driven solutions. 
  • Identifies and applies usages of AI and ML to extract key insights from unstructured system documentation for analysis, to automate processes, and to integrate with other applications. 
  • Develops and carries out full-service data calls, including the creation of collection applications and forms, data normalization, data cleansing, and visualization. 
  • Creates insightful and impactful business intelligence analysis and visualizations to be consumed by senior management, IT system owners, and Division and Field Office leaders. 
  • Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level. 
  • Researches and recommends business data storage and data integration solutions specific to the IT environment. 
  • Develops user guides and documents for business intelligence products. 
  • Finds and designs new approaches to handle, analyze, and use large data sets. 
  • Solves complex data and storage issues. 
  • Analyzes and reports results with actionable recommendations. 
  • Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL). 
  • Incorporates data science tools such as scripting (SQL, R, Python, etc.) into existing and new services to continuously advance available offerings. 
  • Identifies, understands, and connects new sources of business intelligence from enterprise holdings that answer key business intelligence questions from leadership. 
  • Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level. 
  • Works on data collection for regular and ad-hoc data calls for internal and external customers, develops and enhances service requests portals, dashboards and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources, creating and maintaining Power Automations supporting multiple business processes, integration of AI/ML into BI reporting, cleansing, and curation of business intelligence datasets, re-development of a quantitative cybersecurity risk assessment tool, and development of additional quantitative risk assessment tools. 

Basic Hiring Criteria:
  • In the absence of years of experience, certifications, or past work may be used to show the level of experience needed to perform at this level.
  • Strong proficiency with the Power Platform, SharePoint, and Infopath tool suite required. 
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc, required. 
  • Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc, required. 
  • Experience with data science tools and software such as Microsoft Power BI, Anaconda, and Statistical Package for the Social Sciences (SPSS) required. 
  • Experience connecting to and extracting/manipulating data from the following systems strongly preferred: Asset Management System (AMS), BigFix, Enterprise Process Automation System (EPAS), Facilities Integration Tool (FIT), Joint Cybersecurity Authorization and Management (JCAM), HR Source/HR Reports, Sentinel, Tenable, Unified Finance Management System (UFMS), Xacta, Microsoft Defender for Enterprise, JIRA, JIRA Service Manager, and CrowdStrike. 

Benefits offered to vary by the contract. Depending on your temporary assignment, benefits may include direct deposit, free career counseling services, 401(k), select paid holidays, short-term disability insurance, skills training, employee referral bonus, affordable medical coverage plan, and DailyPay (in some locations). For a full description of benefits available to you, be sure to talk with your recruiter.

Military connected talent encouraged to apply.

VEVRAA Federal Contractor / Request Priority Protected Veteran Referrals / Equal Opportunity Employer / Veterans / Disabled 

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit http://www.tadpgs.com/candidate-privacy/ or https://pdsdefense.com/candidate-privacy/

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Education:Bachelors DegreeEmployment Type: CONTRACTOR

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