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Internship Data Scientist Risk Jobs in Texas (NOW HIRING)

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

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

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

Build and operationalize risk stratification models to identify high-risk patients and populations ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

Build and operationalize risk stratification models to identify high-risk patients and populations ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

Build and operationalize risk stratification models to identify high-risk patients and populations ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

AI Governance & Risk Advisory • Partner with the Sr. Director of AI & Digital Innovation to provide expert data science input into the organization's AI governance processes, policies, and ...

Build and operationalize risk stratification models to identify high-risk patients and populations ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

Data Scientist

Westlake, TX · On-site

$83K - $158K/yr

Fraud Risk & Control Detection Team is looking for aData Scientist to join a growing team. The team ... This role willbe responsible forworking closely with data scientists, data engineers ...

Data Scientist American First Finance is seeking a Data Scientist to turn complex data into ... Develop and maintain machine learning models for credit risk, fraud detection, and marketing ...

Data Scientist American First Finance is seeking a Data Scientist to turn complex data into ... Develop and maintain machine learning models for credit risk, fraud detection, and marketing ...

Advise Executive Leadership on AI strategy, automation risk, and operational impact You are ... Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy across the ...

Advise Executive Leadership on AI strategy, automation risk, and operational impact You are ... Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy across the ...

Advise Executive Leadership on AI strategy, automation risk, and operational impact You are ... Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy across the ...

Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics results into strategic recommendations for VP and C-level leadership * Utilize programming languages such ...

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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 Texas? The most popular types of Data Scientist Risk jobs in Texas are:
Data Scientist

Full-time

Medical, Dental, Vision, Retirement

Posted 17 hours ago


State Farm rating

7.4

Company rating: 7.4 out of 10

Based on 1,532 frontline employees who took The Breakroom Quiz

210th of 281 rated insurance


Job description

Overview

State Farm is seeking a Data Scientist with experience in artificial intelligence, machine learning, and advanced analytics to meet the growing demand for data-driven decisioning across the organization.

In this role, you’ll partner with internal business teams to develop and validate AI/ML models and experimentation-driven analytics that improve performance in key areas such as Agency effectiveness, Marketing insights, and Digital channel engagement.

This opening is within State Farm’s Enterprise Technology – Data & AI (ET-D&AI) department. ET-D&AI provides data science support to internal business partners across State Farm, including work focused on enhancing customer engagement and digital experiences through AI/ML.


Responsibilities

As a data scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity is well-suited for data scientists who bring high-demand modeling and analytical skills and want to contribute directly to State Farm’s AI/ML portfolio.

What You'll Do

What you can expect in the typical day as a Data Scientist at State Farm: 

  • Develop and validate advanced analytic models, designed experiments, and other data-driven solutions
  • Provide input into and/or build datasets to support AI/ML solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm’s AI/ML portfolio
  • Assess model performance, investigate changes, and perform model updates as necessary 

Why Join Our Data Science Team?

State Farm is committed to helping you develop to your full potential, professionally and analytically. You’ll strengthen both your technical depth and your communication skills by partnering with leadership, business partners, and fellow technologists. You’ll also have the opportunity to stay current with the evolving data science landscape and contribute to ongoing model quality and continuous improvement.


Qualifications
  • Completed master’s or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • 3+ years of predictive model building experience in a business environment
  • Experience delivering digital engagement analytics, including AI/ML solution building and implementation in digital environments
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following:
    • Time series analysis,
    • Cluster analysis,
    • Tree-based algorithms
    • Neural networks
  • Experience with designing, building, and implementing AI solutions, such as:
    • Natural language processing, large language models, computer vision or generative AI
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For: 

  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux 
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (e.g., insurance, healthcare, finance). 

The Selection Process:

1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.

2. If selected to move forward, you will have the opportunity to participate in a live video interview with members  of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.

3. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

HYBRID: Qualified candidates must reside in or relocate within, a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations.

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $112,000 - $151,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

#LI-LP1

#LI-Hybrid

Qualifications:
  • Completed master’s or other advanced degree in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • 3+ years of predictive model building experience in a business environment
  • Experience delivering digital engagement analytics, including AI/ML solution building and implementation in digital environments
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following:
    • Time series analysis,
    • Cluster analysis,
    • Tree-based algorithms
    • Neural networks
  • Experience with designing, building, and implementing AI solutions, such as:
    • Natural language processing, large language models, computer vision or generative AI
  • Experience with at least one statistical programming language: Python, R, or SAS

Other Things We Look For: 

  • Familiarity with experimental design concepts for business experiments
  • Experience with cloud-based environments (e.g., AWS) or Linux 
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
  • Experience with gathering and interpreting business requirements for designing and scalable data science solutions in a regulatory environment (e.g., insurance, healthcare, finance). 

The Selection Process:

1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.

2. If selected to move forward, you will have the opportunity to participate in a live video interview with members  of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.

3. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experience.

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

HYBRID: Qualified candidates must reside in or relocate within, a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations.

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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