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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 ...

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 ...

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

... risk management: 6-8 years Cloudnative ML architectures: 5-7 years Technical leadership and stakeholder communication: 6-8 years Education Bachelor's / Master's / PhD in Computer Science, Data ...

Develop and maintain machine learning models for credit risk, fraud detection, and marketing ... Master's degree (or equivalent) in Data Science, Business Analytics, or a related technical field ...

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 ...

... risk, fraud detection, and marketing performance • Create and deliver clear reports and ... Required : • Master's degree (or equivalent) in Data Science, Business Analytics, or a related ...

ABOUT THE ROLE We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale ...

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 ...

ABOUT THE ROLE We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale ...

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 ...

ABOUT THE ROLE We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale ...

ABOUT THE ROLE We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale ...

ABOUT THE ROLE We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale ...

ABOUT THE ROLE We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale ...

ABOUT THE ROLE We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale ...

A Data Scientist will bring forth a strong focus on building intelligent agents, automation, and ... Managing Risk - Assessing and effectively managing all of the risks associated with their business ...

We are looking for a Senior Data Scientist to join the GPS team. You will use gameplay telemetry ... Build and improve features, risk signals, and detection approaches using gameplay telemetry, player ...

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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:
What cities in Texas are hiring for Internship Data Scientist Risk jobs? Cities in Texas with the most Internship Data Scientist Risk job openings:
Data Scientist

Data Scientist

State Farm

Richardson, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


State Farm rating

7.5

Company rating: 7.5 out of 10

Based on 1,371 frontline employees who took The Breakroom Quiz

196th of 263 rated insurance


Job description

Overview

State Farm is seeking data scientists with experience in artificial intelligence, machine learning, and other advanced analytics methods to support the growing demand for data science solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of AI/ML solutions. 

Applicants for this posting will be considered for a data scientist opening in Enterprise Technology – Data & AI (ET-D&AI). This area provides data science support for internal business partners at State Farm, including Agency, Marketing, and Digital Channel performance. State Farm is looking for data science professionals with experience in building AI/ML solutions to enhance customer engagement within our digital platform.

At State Farm, we believe in fostering professional growth and development. As a data scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple development areas. In ET-D&AI you are a data science consultant, allowing you to improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use.


Responsibilities

Data Science at State Farm

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 affords consideration for data scientists who can bring in-demand skills to our data science suites. Below are some of the tasks you can expect in the typical day of a data scientist: 

  • 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?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a data scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through Lead/mentor other data scientists, interns, and other technical work teams through interactions with technical and non-technical business partners. Our data scientists also embrace staying current with the evolving data science landscape.  


Qualifications

Requirements

  • 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.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, 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, or neural networks
  • Experience with designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, 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 (including but not limited to insurance, healthcare, and 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.

What Else?
 - Competitive Benefits, Pay and Bonus Potential: Who doesn’t want money, right?
 - Volunteer opportunities: Get involved and give back to the community!
 - Continuing Education Support: We support opportunities for you to learn and grow!
 - A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
 - Exceptional 401k Plan
 - We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

Learn more about our benefits at State Farm Careers!

HYBRID: Qualified candidates residing 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 of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you. 

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

We are not just offering a job but a meaningful career! We’re here to help life go right®
Come join our passionate team!

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:

Requirements

  • 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.
  • Minimum of 3+ years of predictive model building experience in a business environment
  • Experience in digital engagement, 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, or neural networks
  • Experience with designing, building, and implementing AI solutions (e.g., natural language processing, large language models, computer vision, 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 (including but not limited to insurance, healthcare, and 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.

What Else?
 - Competitive Benefits, Pay and Bonus Potential: Who doesn’t want money, right?
 - Volunteer opportunities: Get involved and give back to the community!
 - Continuing Education Support: We support opportunities for you to learn and grow!
 - A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
 - Exceptional 401k Plan
 - We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

Learn more about our benefits at State Farm Careers!

HYBRID: Qualified candidates residing 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 of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectations would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you. 

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

We are not just offering a job but a meaningful career! We’re here to help life go right®
Come join our passionate team!

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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