Data Scientist
Read straight from Acxiom's careers page, verified 3d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationConway
Company size1,001–5,000 people
PostedOct 8, 2026 · 4w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Strong analytical capabilities
Ability to transform complex transactional data into meaningful business recommendations
Skills
data visualization
business intelligence tools
About the role
At Acxiom, we transform data into actionable insights that drive operational excellence and business value. We are seeking a Data Scientist to support reconciliation, settlement, and transaction analysis activities for a strategic client account across multiple products and vendor partners.
The Data Scientist will leverage analytical methods, statistical techniques, data visualization, and business intelligence tools to identify trends, anomalies, operational risks, and opportunities for process improvement. This role partners with clients, vendor organizations, and internal stakeholders to investigate transaction discrepancies, analyze financial and operational data, provide actionable insights, and support data-driven decision-making.
The ideal candidate combines strong analytical capabilities with reconciliation and financial operations knowledge and has the ability to transform complex transactional data into meaningful business recommendations that improve operational performance, reduce financial losses, and enhance the client experience.
Job Description
The Data Scientist is responsible for analyzing transaction, settlement, and reconciliation data to identify discrepancies, trends, root causes, risks, and opportunities for operational improvement. This role supports reconciliation and settlement operations through advanced analytics, reporting, data preparation, visualization, and insight generation.
The Data Scientist collaborates with clients, vendors, Accounting, Product, Engineering, Production Support, and operational teams to understand business needs, investigate complex issues, evaluate financial impacts, and communicate analytical findings. This role applies data-driven thinking to improve reconciliation accuracy, strengthen operational controls, and drive continuous improvement initiatives.