Applied Machine Learning & Data Engineering Senior Consultant II

Allstate

Remote

Quick summary

Work type
Remote
Location
IL
Salary
$130,000–$150,000 / yr
Posted
2 days ago
Nearby
72 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k
This role $140k
$114k most similar roles pay here $278k

This role pays less than 93% of similar roles. Most pay $179,356–$249,750 — the shaded band above. At the midpoint, this role pays about $140k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 41 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 40 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Applied Machine Learning & Data Engineering Senior Consultant II

Role Posting Log in to save

As an Applied Machine Learning Engineer Senior Consultant II at National General, part of The Allstate Corporation, you will support high-impact AI and data automation initiatives aimed at improving data ingestion, transformation, and mapping processes. Your day-to-day responsibilities include designing and building intelligent import tools that leverage AI/ML techniques to parse, normalize, and validate structured and unstructured data from various sources. You will develop mapping logic, identify data discrepancies, create standardized ingestion templates, and produce load-ready outputs for downstream systems while contributing to analytics and dashboarding efforts. The role requires strong proficiency in Python and SQL, experience with generative AI/LLMs, and familiarity with cloud platforms like Azure. Additionally, you must be adept at communicating technical insights to non-technical stakeholders and working effectively in a fast-evolving environment.

Skills

Python SQL Azure CI/CD LLMs DevOps C# .NET APIs JSON Terraform Kubernetes PostgreSQL MLOps LangChain Docker Prometheus Grafana

What you'll do

  • Design and build AI-powered data pipelines to process structured and unstructured data.
  • Develop and optimize LLM-based solutions for prompt engineering, mapping, extraction, and transformation.
  • Translate complex technical outputs into actionable insights for business stakeholders.
  • Validate and improve solution accuracy through testing, iteration, and stakeholder feedback.
  • Document solutions to ensure scalability, maintainability, and long-term adoption.

What we're looking for

  • 3+ years of experience in AI and data automation initiatives
  • Proficient in Python and SQL for data analysis and engineering
  • Experience with Generative AI/LLMs and prompt engineering
  • Hands-on experience in data transformation, file parsing, and pipeline development
  • Familiarity with DevOps practices and cloud platforms (preferably Azure)
  • Ability to communicate effectively with technical and non-technical stakeholders
  • Proven ability to work in ambiguous, fast-evolving environments

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