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
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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.
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