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Ernst & Young

Global professional services: consulting, assurance, tax

Associate Consultant-Forensics-National-ASU-Forensics-Investigations & Compliance-Bangalore

Data EngineeringUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • 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, natural language processing, or data analytics.
  • One to two years of relevant experience; relevant internships, capstone projects, research work, hackathons, and college projects will be considered practical experience.
  • Python fundamentals including pandas, NumPy, regular expressions, and file/data handling.
  • Foundational understanding of machine learning, natural language processing, generative AI concepts, and responsible use of AI.
  • Basic SQL, data structures, algorithms, statistics, and analytical problem solving.
  • Strong written and verbal communication and presentation skills.
  • Bachelor of Technology in Mechanical Engineering, Bachelor of Technology in Computer Science, or Master of Science in Data Science.
  • Two or more years of experience in data analysis and two or more years of experience in data engineering.

Responsibilities

  • Support eDiscovery engagements by preparing, organising, and quality-checking data for processing, review, and analysis.
  • Use Python under supervision to automate repetitive data-preparation, validation, file-handling, and reporting tasks.
  • Assist with text analytics and AI-enabled workflows, including 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.

Desired Qualifications

  • Exposure to eDiscovery, RelativityOne, or similar review platforms is useful 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.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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