Applied Machine Learning & Data Engineering Senior Consultant II

United StatesRemotesenior

Machine LearningData & AI

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Quick Summary

Key Responsibilities

Reduce manual mapping effort, improve data accuracy and processing efficiency, deliver scalable,

Technical Tools

Machine LearningData & AI

National General is a part of The Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. We offer home, auto and accident and health insurance, as well as other specialty niche insurance products, through a large network of independent insurance agents, as well as directly to consumers.

Business Title: Applied Machine Learning Engineer Senior Consultant II

About the Role

~1 min read

This role supports high-impact AI and data automation initiatives focused on improving data ingestion, transformation, and mapping processes across the organization. This position is responsible for advancing AI-assisted data mapping capabilities to reduce manual effort, enhance accuracy, and deliver scalable, maintainable solutions for development teams.

Initial responsibilities include building and optimizing intelligent import tools that leverage AI/ML techniques to parse, normalize, and validate structured and unstructured data from various sources. Core deliverables involve developing mapping logic, identifying data discrepancies, creating standardized ingestion templates, and producing load-ready outputs for downstream systems. The role also contributes to analytics and dashboarding efforts while supporting source-specific data rules and configurations.

Over time, the scope will expand to broader AI, data-layer, and automation initiatives aligned with evolving business priorities, with a strong emphasis on delivering solutions that improve operational efficiency and overall data quality in high-visibility workflows.

Responsibilities

~1 min read

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)
Validate outputs against expected results with business stakeholders
Troubleshoot accuracy, performance, and edge cases
Document pipelines and ensure production-readiness
Support integration into enterprise systems (C#, APIs, Azure)

Requirements

~1 min read

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

Experience with C# / .NET integration or enterprise application development
Familiarity with LLM frameworks (LangChain, etc.) or document processing tools
Knowledge of API design, JSON processing, and system integration patterns
Background in insurance, healthcare, or other regulated industries

What We Offer

~2 min read

The base salary for this role ranges from $130,000 to $150,000 annually. Please disregard the broader compensation range listed below, as it reflects the full job family compensation range, rather than this specific position.

Compensation offered for this role is 120,000.00 - 193,725.00 annually and is based on experience and qualifications.

Direct General Auto & Life, Personal Express Insurance, Century-National Insurance, ABC Insurance Agencies, NatGen Preferred, NatGen Premier, Seattle Specialty, National General Lender Services, ARS, RAC Insurance Partners, Mountain Valley Indemnity, New Jersey Skylands, Adirondack Insurance Exchange, VelaPoint, Quotit, HealthCompare, AHCP, NHIC, Healthcare Solutions Team, North Star Marketing, Euro Accident.

National General Holdings Corp. is an Equal Opportunity (EO) employer – Veterans/Disabled and other protected categories. All qualified applicants will receive consideration for employment regardless of any characteristic protected by law. Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas. In the event you need assistance or accommodation in completing your online application, please contact NGIC main office by phone at (336) 435-2000.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

Application Development, Artificial Intelligence Markup Language, Business Model Development, Business Process Development, Data Analytics, Data Engineering, Data Transformation, Enterprise Application, Machine Learning (ML), Microsoft .NET, Predictive Analytics, Python (Programming Language), Structured Query Language (SQL)

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.

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