Allstate

Property Claims Data Scientist – Senior Consultant I

Posted on Jan 21 Illinois, IL 17 views

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

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.

The Property Claims Data Scientist – Senior Consultant I will play a critical role in advancing Allstate Property’s analytics capabilities. You will leverage advanced statistical and machine learning techniques to uncover actionable insights, influence strategic decisions, and optimize operational performance across the Property Claims organization.

This role combines deep technical expertise with business acumen to design scalable data solutions, build predictive models, and deliver impactful recommendations that shape the future of claims handling. This includes:


  • Lead advanced analytics initiatives: Design experiments, develop statistical and machine learning models, and leverage AI to uncover trends, anomalies, and drivers of performance. Take ambiguous business challenges and structure them into data-driven solutions.



  • Transform insights into action: Create clear narratives and recommendations supported by hypothesis testing and statistical analysis.



  • Communicate effectively: Present methodologies, insights, and recommendations to technical and non-technical audiences through compelling visualizations and storytelling.



  • Collaborate cross-functionally: Partner with data engineers, analysts, and business stakeholders to deliver end-to-end analytics solutions, dashboards, and reports using SQL, Python, R, and other tools.



  • Innovate and mentor: Contribute to the growth of Allstate’s Data Science practice by researching new tools, sharing best practices, and mentoring team members.



 Preferred


  • 1+ years of professional experience in data analytics, data science, or consulting.



  • Proficiency in SQL, Python or R, and experience with ETL processes, A/B testing, and statistical analysis (hypothesis testing, regression, experimentation).



  • Solid understanding of statistical modeling and machine learning concepts.



  • Experience building scalable data pipelines and working with large datasets.



  • Excellent analytical, problem-solving, and communication skills.



  • Familiarity with visualization tools (Power BI, Tableau).



  • Experience in insurance, finance, or workflow analytics.



  • Knowledge of cloud platforms (Azure, AWS) and big data technologies.



Other


  • No supervisory responsibilities



#LI-CJ1

Skills

Artificial Intelligence (AI), Artificial Intelligence Markup Language, Business Case Analyses, Data Analytics, Data Modeling, Data Science, Data Visualization, ETL Tools, Influencing Others, Oracle, Predictive Modeling, Python (Programming Language), Statistical Analysis, Structured Query Language (SQL), Waterfall Model

Compensation

Compensation offered for this role is 70,100.00 - 121,475.00 annually and is based on experience and qualifications.

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. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

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 Know Your Rights” 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.

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