Forensic Data Analytics

Price Waterhouse Cooper LLP; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Price Waterhouse Cooper LLP in Bengaluru invites a qualified Forensic Data Analytics Consultant/Senior Consultant to join our fraud risk and investigations practice. You will apply analytics, AI-driven insights, and data mining to uncover anomalies and support investigations.

The role requires 3-8 years of relevant experience in forensic analytics, SQL, Python, and dashboarding tools, with a focus on risk assessment, reporting, and stakeholder communications.

Qualifications

• Experience in forensic data analytics, fraud risk management, and investigations.
• Proficiency with SQL and Python.
• Experience with Power BI or Tableau.
• Experience with data analytics, statistics, and data mining.
• Familiarity with ML, GenAI, NLP, predictive analytics.
• Exposure to cloud platforms (Azure, Databricks, Snowflake, AWS) is preferred.

Responsibilities

• Analyze large datasets to identify fraud indicators and risks.
• Support forensic investigations and compliance reviews.
• Build dashboards and risk-scoring models.
• Apply AI/ML and analytics to generate investigative insights.
• Present findings to stakeholders.

Skills

Forensic Investigations

Fraud Risk Management

SQL

Python

Advanced Excel

Power BI

Tableau

Data Analytics

Statistical Analysis

Data Mining

Machine Learning

GenAI

NLP

Predictive Analytics

Azure

Databricks

Snowflake

AWS

Education

BE/B.Tech/MCA/M.Tech or degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related fields

Job description

Forensic Data Analytics Consultant / Senior Consultant

Location: Bengaluru, India
Experience: 3-8 Years

Role Summary

We are looking for professionals with experience in Forensic Data Analytics, Fraud Risk Management, and Investigations to support fraud detection, financial crime reviews, and compliance investigations using advanced analytics and AI-driven solutions.

Key Skills

• Forensic Investigations, Fraud Risk Management
• SQL, Python, Advanced Excel
• Power BI / Tableau
• Data Analytics, Statistical Analysis, Data Mining
• Machine Learning, GenAI, NLP, Predictive Analytics
• Azure, Databricks, Snowflake, AWS (preferred)

Responsibilities

• Analyze large datasets to identify fraud, anomalies, and risk indicators.
• Support forensic investigations and compliance reviews.
• Build dashboards, reports, and risk-scoring models.
• Apply AI/ML and advanced analytics to generate investigative insights.
• Present findings and recommendations to stakeholders.

Qualification

BE/B.Tech/MCA/M.Tech or degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or related fields.