Data Scientist

Job details

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Job description

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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position title – Senior – Data Science Legal Entity – EY GDS Location (country) – (GGN, BLR) India Position (Description) Senior – Data Science Job purpose: Individual performer in the IT Advisory Services team to provide support in Data analysis, Data Science use cases Your client responsibilities: Work for managing the successful design, execution, and measurement of data initiatives across customer-facing engagements requiring advanced automation scenarios. Communicate with internal stakeholders to make recommendations based on data Sort out business problems to translate into analytical questions to simplify and accelerate the solution development. Balancing excellent business communication skills with a deep analytical understanding is needed Applying data Science, ML algorithms, using standard statistical tools and techniques for solving client business problems. Working on advanced automation client use cases. Interface and communicate with the onsite Program Managers. Regular status reporting to the supervisor and onsite coordinators Interface with the customer representatives as and when needed Willing to travel to the customer’s locations on need basis within India and outside India. Willing to work in UK shifts to support global customers Willing to be flexible to work on various tools and technologies based on demand Your technical responsibilities: Work in Machine Learning, Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization, recommendation engine. Work in design/implementation/consulting of ML models and deploying scoring pipelines at scale. Integrate this with Automation technologies. Understanding of Azure ML Studio, Azure Databricks, IBM Watson Studio etc will be required Solve client business problem in areas of Finance, HR and other functions. Use technology (right mix of AI, ML and Automatiom) to help client automate functions and reduce their cost. Should be ready to work on other technologies in case business requirement demands so. Preparation of key deliverables such as design documents, test documentation, training materials and administration/procedural guides. Your people responsibilities: Building a quality culture Lead by example Participating in the organization-wide people initiatives Requirements BS or MS degree in Math, Statistics, IT, Computer science, economics, or a related field. 4+ years of experience in machine learning, statistical modeling, quantitative analysis, Forecasting, data visualization, recommendation engine etc. 2+ years professional experience in software development in languages like Python, spark. Experience in data processing with Python, SQL Understanding of natural language processing concepts and python scientific libraries like NLTK, spacy, Gensim, NMT, Extraction, Classification, Intent, Semantics, NER, BERT, Marian,T5, BART, Transformers, Embedding (Word2Vec, ELMO, Glove), Attention Models, LSTM, RNN, OCR/ICR, OpenCV, Contours Segmentation Understanding of building data pipeline on Azure Data Factory, Azure functions, Data Transformations, Experience in design/implementation/consulting experience training ML models and deploying scoring pipelines at scale. Experience of using tools like Azure ML Studio, Azure Databricks, IBM Watson Studio will be advantage. Understanding of Explainable AI. Experience with DL toolkits such as MXNet, TensorFlow, Caffe and Torch. Deployment- Pipelines, Flask, Django,Fast Api, TensorFlow Servings, Django, Micro services,Dockers, Kube-Flow Experience with source control GIT Experience in .Net/node.js/Java or web technologies will be added advantage. Understanding of contact center related technologies/speech analytics/Speech Modelling, using various digital techniques will be helpful. You will need to have: Mandatory skills: Experience in machine learning, statistical modeling, quantitative analysis, Forecasting, data visualization, recommendation engine etc. 5 + years professional experience in software development in languages like Python, R, Spark & SQL. Experience in Tensor flow, keras, transformers, Sci-kit learn, python libraries Experience in design/implementation/consulting experience training ML models and deploying scoring pipelines at scale. Experience in web development technologies like java/node.js/C# Sectors: Banking /Telecom /Insurance /healthcare Good business communication skills & client facing skills Contact center transformation experience, Speech, Translation, text mining. Working knowledge in excel and macros knowledge of any automation process or techniques. Understanding of Data warehousing tool & Power BI. Prior Client facing experience. What our Practice offers you? IT Advisory Services Good opportunities to utilize your expertise in the relevant area as mentioned below, and provide growth opportunities for the right individuals with appetite to take challenges Our technology capabilities have been enhanced based on significant demand from our clients in key strategic areas: Finance Risk Technology Operations Compliance Security Data Management We connect business and technology to more effectively enable our financial services clients businesses. Our solutions focus on the deep integration of functional, process and technology knowledge. We work closely with a number of strategic technology software and service providers to create an integrated delivery team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.