State Farm data scientist intern interview and return offer 2026

TL;DR

State Farm's data scientist intern program is highly competitive, with a 10% acceptance rate. The interview process involves 3 rounds, including a technical skills assessment and a behavioral interview. Salaries range from $80,000 to $110,000 per year.

The interview process typically takes 14 days to complete. A strong background in machine learning and data analysis is required.

The company looks for candidates with a Master's degree in a quantitative field.

Who This Is For

This article is for students and young professionals pursuing a career in data science, particularly those interested in interning at State Farm. The ideal candidate has a strong foundation in statistics, programming, and data visualization, with experience working with large datasets.

A minimum GPA of 3.5 is required, and relevant coursework includes machine learning, data mining, and statistical modeling.

Not having a Master's degree, but having equivalent work experience, can be sufficient.

What is the State Farm data scientist intern interview process like

The State Farm data scientist intern interview process involves 3 rounds, including a technical skills assessment and a behavioral interview. The first round is a phone screen, which assesses the candidate's technical skills and experience, and lasts around 30 minutes.

The second round is an on-site interview, which includes a presentation and a panel interview, and lasts around 2 hours.

Not getting stuck on a single question, but rather showcasing problem-solving skills, is key to passing the technical skills assessment.

How do I prepare for the State Farm data scientist intern technical skills assessment

To prepare for the technical skills assessment, focus on machine learning and data analysis concepts, such as regression, clustering, and decision trees. Practice coding in languages like Python and R, and work on projects that involve data visualization and statistical modeling.

Not just memorizing formulas, but rather understanding the underlying concepts, is crucial to performing well in the technical skills assessment.

Using online resources, such as Kaggle and Coursera, can help improve technical skills.

What are the most common State Farm data scientist intern interview questions

Common interview questions include "What is your experience with machine learning?" and "How do you handle missing data?" The interviewer is looking for specific examples and a clear thought process, rather than just a textbook answer.

Not giving a generic answer, but rather tailoring the response to the company's specific needs, is essential to standing out in the interview.

Asking clarifying questions, such as "Can you provide more context?" or "What is the goal of the project?", can also demonstrate interest and engagement.

How long does the State Farm data scientist intern interview process take

The interview process typically takes 14 days to complete, with 3 rounds of interviews. The first round is usually scheduled within 3 days of applying, and the final round is typically scheduled within 7 days of the second round.

Not getting discouraged by the length of the process, but rather using the time to prepare and improve, is key to ultimately receiving a return offer.

Staying organized and keeping track of deadlines and follow-up tasks is also crucial.

What is the State Farm data scientist intern salary range

The salary range for State Farm data scientist interns is between $80,000 and $110,000 per year, depending on location and experience. The company also offers a $5,000 signing bonus and a $2,000 relocation stipend.

Not negotiating the salary, but rather focusing on the overall benefits package, can be a strategic mistake.

Considering the cost of living in the desired location, such as Bloomington, IL, is also essential.

Preparation Checklist

Research the company's mission and values, and be prepared to talk about how they align with your own goals and motivations.
Review machine learning and data analysis concepts, and practice coding in languages like Python and R.
Work through a structured preparation system, such as the PM Interview Playbook, which covers data science interview questions and case studies with real debrief examples.
Prepare specific examples of your experience and skills, and practice answering behavioral interview questions.
Use online resources, such as Kaggle and Coursera, to improve technical skills.
Practice presenting and communicating complex ideas to a non-technical audience.

Mistakes to Avoid

BAD: Focusing too much on technical skills, and not enough on soft skills and communication.

GOOD: Practicing presenting and communicating complex ideas to a non-technical audience, and being prepared to talk about your experience and skills in a clear and concise way.

BAD: Not being prepared to ask questions during the interview, and not showing interest in the company and the role.

GOOD: Researching the company and the role, and being prepared to ask thoughtful and relevant questions during the interview.

BAD: Getting discouraged by the length of the process, and not using the time to prepare and improve.

GOOD: Staying organized and keeping track of deadlines and follow-up tasks, and using the time to prepare and improve.

FAQ

Q: What is the acceptance rate for the State Farm data scientist intern program?

A: The acceptance rate is around 10%, with a highly competitive process involving 3 rounds of interviews.

Q: How long does the interview process typically take?

A: The interview process typically takes 14 days to complete, with 3 rounds of interviews.

Q: What is the salary range for State Farm data scientist interns?

A: The salary range is between $80,000 and $110,000 per year, depending on location and experience.

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