Senior Data Scientist - Payroll Analytics

Strategic Programs Senior Analyst

Role

Payroll Data Scientist

Accenture Hiring Level

Level 10

Job Description

As a Data Scientist in the Payroll domain, you will leverage data to optimize payroll operations, ensure compliance, detect anomalies, and support strategic decision-making. You will work closely with HR, Finance, and IT teams to build predictive models, automate reporting, and enhance payroll accuracy and efficiency.

• Data Analysis and Interpretation:
  • Utilizing advanced analytical techniques to analyze payroll data, identify trends, anomalies, and opportunities for improvement.
  • Use statistical methods and tools to find patterns, trends, and relationships.
  • Develop predictive models for payroll forecasting, headcount planning, and cost optimization.
• Reporting and Dashboard Development:
  • Designing and maintaining comprehensive dashboards and reports that provide actionable insights to stakeholders.
  • Build automations to gather data from various sources like databases, APIs, web scraping, or sensors.
• Process Optimization:
  • Collaborate with payroll operations teams to streamline processes and enhance efficiency based on data-driven recommendations.
  • Translate complex data results into actionable business strategies.
• Integrate Enterprise Systems
  • Connect AI solutions to internal systems via APIs
  • Design and implement REST API integrations (authentication, data exchange)
  • Work with structured and unstructured data across multiple sources
• Process Support:
  • Execute the process accurately and timely as hands on processor.
  • Escalate issues and seek advice when faced with complex issues/problems.
  • Creates a logical plan, realistic estimates and schedule for an activity or project segment.
  • Ensure Local Work Instructions are followed and updated regularly and train the team members on process updates.
  • Ensure process controls are in place; Maintain, validate and update process documentations.
  • Perform “Root Cause Analysis” on issues faces and suggest appropriate corrective action for current remediation and future control.  
  • Participates in Knowledge Transfer of any process and acquires in depth knowledge of process as an SME.
  • Strengthen work relationship with Onshore Teams and other internal teams.
  • Participate in conference calls and prepare ‘minutes of meeting’.