IT - AI Data / Python Automation Developer (6 months contract)

Our client is seeking Python contractors to support an AI-enabled insurance data project. The role will focus on converting submission data-extraction logic into repeatable Python-based “recipes” for different treaty and transaction cases.

A recipe is a deterministic Python script designed to extract, transform and structure data from submission documents relating to a designated counterparty and transaction type.

The successful candidate will review business documents and AI-assisted extraction outputs, adapt existing Python logic, test extraction accuracy and support human-in-the-loop validation. This role is suitable for candidates with practical Python scripting experience, strong attention to detail and an interest in document processing, automation and insurance data.

Key Responsibilities

• Review submission documents and AI/coding-agent extraction outputs to identify required data points.

• Read, understand and adapt existing Python recipe logic for additional treaty and transaction cases.

• Create, test, replay and document assigned data-extraction recipes.

• Extract and structure information from PDF, Excel, Word, email attachments, ZIP files, folders and other submission materials.

• Verify extracted data against original source documents to ensure accuracy and traceability.

• Record defects, missing data, source-file issues, extraction errors and logic gaps.

• Support human-in-the-loop validation by identifying where each extracted value originated.

• Work with project stakeholders to resolve data-quality and extraction issues.

• Help improve the consistency and repeatability of the recipe-development process.

• Use AI-assisted development or coding-agent tools where appropriate.

• Prepare clear documentation so that recipe logic can be understood, maintained and replicated by other team members.

Required Skills and Experience

• Basic to intermediate Python scripting capability.

• Ability to read, understand and modify existing Python code.

• Experience working with structured and unstructured files, including PDF, Excel, Word, email attachments, ZIP files and folders.

• Ability to analyse business documents carefully and identify relevant data fields.

• Good understanding of data validation, exception handling and reconciliation.

• Strong attention to detail and accuracy.

• Ability to document technical issues and extraction logic clearly and logically.

• Good analytical, troubleshooting and problem-solving skills.

• Willingness to learn reinsurance concepts, treaty structures and underwriting submission processes.

• Good communication skills and ability to work effectively with project stakeholders.

Preferred Skills

• Experience in the reinsurance or insurance industry.

• Experience with data extraction, OCR, document parsing or automation workflows.

• Experience using Python libraries for document and file processing, such as:

• Pandas

• OpenPyXL

• PyPDF / PDFPlumber

• Python-docx

• Regular expressions

• JSON and CSV processing

• Experience in RPA, intelligent document processing or AI-assisted automation.

• Exposure to insurance, banking, finance, actuarial, audit or consulting projects.

• Experience validating extracted data against source documents and maintaining data lineage.

• Familiarity with underwriting, treaty or policy-related documents would be an advantage.

Candidate Profile

The ideal candidate is a practical and detail-oriented Python developer who is comfortable working with complex business documents and adapting existing scripts to different file formats and transaction cases.

This role does not require advanced machine-learning model development. It is focused primarily on Python scripting, document extraction, data validation, testing and process repeatability.