pRequisition Id: 1662524/pp /ppAs 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 dont 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 well provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.brbrstrongThe opportunity/strong : Consultant-National-Tech Consulting-CNS - TC - AI and Quantitative Modelling - BangalorebrbrstrongNational : /strong/ppNational comprises of sector agnostic teams working across industries for a well rounded experience./ppstrongCNS - TC - AI and Quantitative Modelling : /strong/ppEY Consulting is building a better working world by transforming businesses through the power of people, technology and innovation. Our client-centric approach focuses on driving long-term value for our clients by solving their most strategic problems. EY Consulting is made up of three sub-service lines: Business Consulting (including Performance Improvement and Risk Consulting), Technology Consulting and People Advisory Services. /ppIn Tech Consulting, we are transforming businesses through the power of people, technology and innovation. It places humans@center, leverages technology@speed and enables innovation@scale./ppbrstrong Your key responsibilities/strongbrbrstrongTechnical Excellence/strong/pp /pulliYour key responsibilities/liliCollect, clean, and analyse large datasets from multiple sources./liliDevelop, test, and deploy predictive and prescriptive models using statistical and machine learning techniques./liliCollaborate with cross-functional teams (engineering, product, operations, marketing, etc.) to identify data-driven opportunities and implement solutions./liliCreate clear visualizations and dashboards to communicate insights to technical and non-technical stakeholders./liliDesign and run experiments (A/B testing, simulations) to validate hypotheses./liliContinuously improve data models and algorithms for performance, accuracy, and scalability./liliDocument models, assumptions, and outcomes in a structured and reproducible manner/liliStay updated on emerging tools, frameworks, and best practices in AI, ML, and data science. Skills and attributes for success/liliCurious and data-obsessed./liliSelf-driven and comfortable working with ambiguity./liliCollaborative mindset with strong business sense To qualify for the role you must have/liliBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field./lili3–7 years of experience in data science, analytics, or machine learning (flexible for junior or senior roles)./liliStrong proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow, PyTorch) and SQL./liliExperience with data visualization tools (Tableau, Power BI, matplotlib, seaborn, Plotly)./liliSolid understanding of statistical modeling, hypothesis testing, regression, classification, clustering, and time-series analysis./liliFamiliarity with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus./liliExcellent communication and storytelling ability with data./liliStrong problem-solving mindset and attention to detail/liliOpen to Travel to client location in India/outside India Good to have :/liliExperience with big data tools (Spark, Hadoop)./liliKnowledge of deep learning, NLP, or computer vision./liliUnderstanding of business domains like finance, supply chain, marketing, or operations analytics Ideally, you’ll also have/liliPositive attitude. Go getter mindset/liliExcellent interpersonal skills and hands on approach towards his/her work/liliEager to learn new skills Problem-Solving aptitude/li/ulp /ppbrstrong Skills and attributes/strongbrbrstrongTo qualify for the role you must have/strongbrstrongQualification/strong/pulliBachelor of Technology in Computer Science/liliBachelor of Technology in Mechanical Engineering/liliBachelor of Engineering in Electrical/liliBachelor of Computer Applications/liliMaster of Technology in Civil Engineering/liliMaster of Engineering in Electronics/liliMaster of Science in Data Science/li/ulpstrongExperience/strong/pulliData Analysis (2+ years)/liliMachine Learning (3+ years)/liliDeep Learning (2+ years)/liliDevOps Engineering (3+ years)/liliNatural Language Processing (2+ years)/li/ulpbrstrong What we look for/strongbrbrPeople 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.brbrstrong What we offer/strongbrbrFuelled 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.brbrEY 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.brbrIf you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.brbrJoin us in shaping the future with confidence. Apply Now/p

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