Job description
Role Payroll Data Scientist Accenture Hiring Level Level 11 Job Description As a Data Scientist in the Payroll domain, you will support the use of data to help optimize payroll operations, maintain compliance, identify anomalies, and assist decision-making under guidance. You will work with HR, Finance, and IT teams to help build predictive models, automate reporting, and improve 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. Assist in developing 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.
Help translate data results into actionable business insights under guidance. Integrate Enterprise Systems Connect AI solutions to internal systems via APIs Support the design and implementation of 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. Contributes to a logical plan, realistic estimates and schedule for an activity or project segment. Ensure Local Work Instructions are followed and stay updated on process changes. 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 working knowledge of the process. Strengthen work relationship with Onshore Teams and other internal teams. Participate in conference calls and prepare ‘minutes of meeting’.
Background Requirements Criteria Minimum Requirement Evaluation Methodology Skills & Knowledge Required Skills / Knowledge Mandatory Vs Preferred Measure of Skill Proficiency Evaluation Methodology Programming (Python, R, SQL) Mandatory Met Expectation /Not Met Expectation Practice Hands-on experience with APIs i. REST APIs, authentication (OAuth, tokens) ii.
System integration experience Mandatory Met Expectation /Not Met Expectation Practice Payroll Knowledge Preferred Met Expectation /Not Met Expectation Interview Statistics & Math (Probability, regression, hypothesis testing) Mandatory Met Expectation /Not Met Expectation Practice Payroll Systems (Example: Workday / Dayforce / SAP) and CRM/Workflow tools (SNOW / WQM / CRM etc.)
Preferred Met Expectation /Not Met Expectation Interview MS Office Preferred Met Expectation /Not Met Expectation Practice Machine Learning (Classification, clustering, recommendation systems) Preferred Met Expectation /Not Met Expectation Practice Communication Skills Mandatory Met Expectation /Not Met Expectation Interview Data Modelling / Analytics (Example: PowerBI / Tableau / MS Access) Mandatory Met Expectation /Not Met Expectation Practice Microsoft Power.
Apps Mandatory Met Expectation /Not Met Expectation Practice Power Query Mandatory Met Expectation /Not Met Expectation Practice Problem solving skills (Analytical skills / Collaborative thinking/ Adaptable to change) Mandatory Met Expectation /Not Met Expectation Interview Note for Sourcing Candidate meets the educational, industry & role specific experience criteria to be put across HR screening.
Note for HR Screening Candidate meets the sourcing criteria & within the standard compensation bracket for the role, basic communication skills to be put through for written assessment Note for Ops Interview Candidate nearer to the target on skill/knowledge required should be put on hold and considered again depending on the pipeline of the resources available to meet the hiring targets Note for Offer Management Candidates fit the role requirement but above the standard compensation offered should be referred to delivery/transition lead for decision Education Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field To be verified through documents submitted at the time of interview Total Years of Experience 2 - 4 years of Experience To be verified through documents submitted at the time of interview Total Years of Role Specific Experience 1 - 2 years of Payroll Analytics Experience To be verified through documents submitted at the time of interview About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
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