Manager - Forensics - National - ASU - Forensics - Investigations & Complia at EY

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

0.0

Posted On

25 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Generative AI, LLMs, Azure, Deep Learning, Feature Engineering, Statistics, Data Analysis, Model Deployment, MLOps, SQL, NLP, RAG, Vector Databases

Industry

Professional Services

Description

Requisition Id: 1705118 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 : Manager-National-Forensics-ASU - Forensics - Investigations & Compliance - BangaloreNational : 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 responsibilitiesTechnical Excellence Job Description Data Scientist (8–10 Years Experience) Location Bangalore (Hybrid / Onsite as required) Experience 8–10 years of experience in Data Science / Applied Machine Learning Role Overview We are looking for a Senior Data Scientist with strong expertise in AI/ML, Python, and Generative AI, and hands on experience working with high dimensional data. The role involves building and deploying machine learning and LLM based solutions that solve complex business problems and deliver measurable impact. The candidate should be comfortable working across the entire data science lifecycle—from exploratory analysis and feature engineering to model development, evaluation, and production deployment—preferably in Azure based environments. ________________________________________ Key Responsibilities Data Science & Machine Learning Perform exploratory data analysis (EDA) on structured and unstructured datasets Design and implement feature engineering strategies for high dimensional data Build and evaluate machine learning models, including: o Regression, classification, clustering o Ensemble models o Time series forecasting (where applicable) Apply dimensionality reduction techniques such as PCA, t SNE, autoencoders, etc. Evaluate models using appropriate metrics and perform error analysis and model tuning Generative AI & LLMs Design and develop LLM based solutions for use cases such as: o Document summarization o Q&A and Retrieval Augmented Generation (RAG) o Knowledge extraction from PDFs, SOPs, manuals, and reports Work with embeddings, vector databases, and prompt engineering techniques Collaborate with backend and data engineering teams to integrate LLM solutions into production systems Cloud & MLOps Develop and deploy models using Microsoft Azure services Support end to end ML pipelines, including: o Data preprocessing o Model training and validation o Model versioning and deployment Monitor model performance and data drift in production Follow best practices for reproducibility, scalability, and governance Business & Stakeholder Collaboration Translate business problems into data science formulations Communicate insights, model behavior, and results to technical and non technical stakeholders Collaborate with data engineers, backend developers, and frontend teams to deliver end to end solutions ________________________________________ Required Skills & Qualifications Mandatory 8–10 years of hands on experience in Data Science / AI / ML Strong proficiency in Python (Pandas, NumPy, scikit learn) Experience with machine learning and deep learning frameworks (TensorFlow / PyTorch) Proven experience working with high dimensional datasets Hands on exposure to LLMs / Generative AI Experience deploying solutions on Microsoft Azure Strong understanding of statistics, probability, and linear algebra Good to Have Experience with NLP, transformers, BERT based models Experience with RAG architectures and vector databases Familiarity with MLOps tools (MLflow, CI/CD for ML) Exposure to SQL and working with relational databases Basic understanding of frontend/backend integration (e.g., APIs, Java/Bootstrap awareness) ________________________________________ Education Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field PhD is a plus but not mandatory Skills and attributesTo qualify for the role you must haveQualification Bachelor of Technology in Computer Science Bachelor of Computer Applications Master of Science in Data Science Master of Computer Applications PhD in Computer Science PhD in Economics Experience Deep Learning (2+ years) Machine Learning (3+ years) What we look forPeople 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 offerFuelled 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

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Responsibilities

The role involves designing and deploying machine learning and LLM-based solutions to solve complex business problems. You will collaborate with cross-functional teams to manage the entire data science lifecycle, from exploratory analysis to production deployment.