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

Technical Excellence

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

To qualify for the role you must have
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

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.

What we offer

Fuelled by the brilliance of our people, EY has emerged as the strongest brand and the most attractive employer in our field, with market-leading growth over competitors. Our people work side-by-side with market-leading entrepreneurs, game-changers, disruptors, and visionaries. As an organization, we are investing more time, technology, and money than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills, and opportunities.

EY is equally committed to being an inclusive employer, and we strive to achieve the right balance for our people—enabling us to deliver excellent client service while allowing our people to build their careers as well as focus on their wellbeing.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in shaping the future with confidence. Apply Now

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

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