AI-Driven Finance Automation Engineer

RELX; North Petherton; On-site; GBP 80,000 - 140,000; Full time

Benefits offered by this job

Flexible hours

Wellbeing initiatives

Shared parental leave

Study assistance

Sabbaticals

Job summary

RELX's LexisNexis Legal & Professional in the UK is seeking an AI Automation Engineer to design, build, and deploy AI-enabled automation for FP&A workflows. You will write code, build data pipelines, and create integrations that reduce manual effort and improve data quality across finance systems.

You will work with Python, SQL, APIs, and JSON to automate monthly reporting, forecasting, and financial analysis.

Qualifications

• Hands-on development experience with Python, SQL, or similar languages.
• Experience building automation scripts and data pipelines.
• Experience working with APIs and structured data (JSON/REST).
• Ability to independently design and implement technical solutions.
• Experience in Finance, FP&A, or related finance environments.
• Strong analytical and problem-solving skills.
• Experience embedding AI into operational workflows.

Responsibilities

• Design, develop, and deploy AI-driven automation for FP&A workflows.
• Write and maintain code to automate monthly reporting, forecast prep, and consolidation.
• Build data pipelines to extract, transform, and load finance data between systems.
• Develop integrations using APIs to connect finance systems and AI services.
• Prototype solutions and move them into production with proper controls.
• Debug, optimize, and enhance existing automation and reporting solutions.
• Embed AI capabilities into finance workflows, including automated commentary and anomaly detection.

Skills

Python

SQL

APIs / REST

Data pipelines

Finance / FP&A

Analytical/problem-solving

Job description

RELX's LexisNexis Legal & Professional in the UK is seeking an AI Automation Engineer to design, build, and deploy AI-enabled automation for FP&A workflows. You will write code, build data pipelines, and create integrations that reduce manual effort and improve data quality across finance systems.

You will work with Python, SQL, APIs, and JSON to automate monthly reporting, forecasting, and financial analysis.