Job Summary

The opportunity: Associate - Investigations Compliance - Bangalore

Responsibilities

- Support eDiscovery engagements by preparing, organising and quality-checking data for processing, review and analysis.
- Use Python to automate repetitive data-preparation, validation, file-handling and reporting tasks under supervision.
- Assist with text analytics and AI-enabled workflows such as document classification, clustering, entity extraction, near-duplicate analysis and review prioritisation where appropriate.
- Work with structured and unstructured datasets, identify data-quality issues and document transformation logic.
- Support ingestion, culling, search, review preparation and quality-control activities in eDiscovery platforms.
- Test scripts and analytical outputs, document assumptions and maintain reproducible workpapers.
- Prepare concise presentations and summaries explaining methodology, results and limitations to project teams.

What you will need to have

- Recent B.E./B.Tech./M.Tech./M.Sc. or equivalent degree in Computer Science, AI, Data Science, Information Technology or a related discipline.
- Good academic record and demonstrable coursework or projects in Python, AI, machine learning, NLP or data analytics.

Experience

- 1-2 years of relevant experience, relevant internships, capstone projects,



research work, hackathons and college projects will be considered practical experience.

Preferred / good to have

- Exposure to eDiscovery, RelativityOne or similar review platforms is helpful but not mandatory.
- Exposure to scikit-learn, Jupyter, notebooks, APIs, Power BI or cloud AI services is advantageous.
- Ability to explain a college AI/Python project end-to-end, including dataset, approach, validation and limitations.

What we look for

An early-career professional with strong fundamentals, curiosity, disciplined problem solving and clear communication. We value candidates who can demonstrate practical application through academic projects, internships, labs, hackathons or other hands-on work and who are keen to build a career in Forensics and Discovery.

Education

- Bachelor of Technology in Mechanical Engineering
- Bachelor of Technology in Computer Science
- Master of Science in Data Science

Experience

- Data Analysis (2+ years)
- Data Engineering (2+ years)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Associate Consultant (Bengaluru)
🏢 EY
📍 Bengaluru