Vacancy description
Associate Consultant-Forensics-National-ASU-Forensics-Investigations & Compliance-Bangalore in Bangalore, भारत
Ernst & Young
- Full-timeStandard weekly hours
Bangalore, भारत
Requisition Id: 1756154
As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.
The opportunity : Associate Consultant-National-Forensics-ASU - Forensics - Investigations & Compliance - Bangalore National :National comprises of sector agnostic teams working across industries for a well rounded experience.
ASU - Forensics - Investigations & Compliance :
Successful organizations depend on their reputation for keeping promises, respecting laws and behaving ethically to maintain stakeholder trust. EY Forensic & Integrity Services professionals help organizations protect and restore enterprise and financial reputation. We assist companies and their legal counsel to investigate facts, resolve disputes and manage regulatory challenges. We put integrity at the heart of compliance programs to help better manage ethical and reputational risks.
Our integrated approach ranges from enhancements in areas of perceived weakness or issues — including governance, controls, culture and data insights — to full organizational design and structural implementation. We want to help companies safeguard and restore financial and brand reputations. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over.
Your key responsibilities
- Your key 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. Skills and attributes
- 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. To qualify for the role, you must have Qualifications
- 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 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. 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.
Skills and attributes
Qualification
- 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)
What we look for