Data Science Intern

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

• Job Description:

• This role is responsible for leading the use of data to make decisions. This includes: The coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.

• Key Responsibilities:

• The following are the areas of responsibility the Data Science Intern will be exposed in some capacity:

• Uses best practices, with limited coaching, to develop statistical, machine learning techniques to build models that address business needs

• Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept

• Uses and learns a wide variety of tools and languages to achieve results (e.g., R, Python, Spark, SQL)

• Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling

• Innovates on projects by using new modeling techniques or tools

• Executes on modeling/machine learning projects effectively

• Communicates findings to team and leadership ensure models are well understood and incorporated into business processes

• Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership

• Allstate Internship Program:

• Target start date: May/June 2025

• 12-week summer internship program

• An attractive compensation package

• Collaborative team environment

• Planned intern activities; including lunches with Allstate officers as keynote speakers

• Volunteer/community service opportunities

• Potential to receive possible full-time employment after graduation

• Job Qualifications:

• Currently pursuing a degree in a quantitative field (e.g. mathematics, statistics, computer or physical science).

• Pursuit of a graduate degree strongly preferred.

• Ability to solve problems, think critically, and communicate clearly.

• Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining

• Experience with programming.

• An understanding of algorithmic scaling and complexity a plus.

• Experience with big-data tools (e.g. spark) a plus.

• Compensation:

Compensation offered for this role is between $20 and $42 an hour and is based on experience and qualifications.

Skills Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Results-Oriented

Compensation

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job --- it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

You'll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we've proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the "EEO is the Law" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.