Senior Consultant II, Applied Machine Learning, Data Engineering

Job not on LinkedIn

🕒 June 27

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Allstate

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1931

💸 Finance

💰 Post-IPO Equity on 2014-01

Insurance • Finance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Design and build AI-powered data pipelines to process and transform structured and unstructured data (PDF, Excel, CSV, etc.) • Develop and optimize LLM-based solutions (prompt engineering, mapping, extraction, and transformation) • Translate complex data and technical outputs into actionable insights for business stakeholders • Partner with cross-functional teams (product, engineering, business SMEs) to define and deliver solutions • Validate and improve solution accuracy through testing, iteration, and stakeholder feedback • Support integration of ML/AI solutions into enterprise systems and workflows (APIs, databases, cloud platforms) • Document solutions to ensure scalability, maintainability, and long-term adoption • Analyze and process carrier and CMS datasets • Build AI/ML mapping logic using LLMs and prompts • Develop data pipelines (Python/C# data processing logic, SQL, APIs, Azure)

🎯 Requirements

• 3+ years of related experience • Strong proficiency in Python and SQL for data analysis and engineering • Experience working with Generative AI / LLMs (prompt engineering, APIs, or similar) • Hands-on experience with data transformation, file parsing, and pipeline development • Knowledge of DevOps practices (CI/CD pipelines, version control, cloud deployment) • Familiarity with cloud platforms (preferably Azure) • Ability to communicate effectively with both technical and non-technical stakeholders • Proven ability to work in ambiguous, fast-evolving environments

🏖️ Benefits

• Comprehensive technology setup, including laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement to offset internet costs