Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior Associate & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more .At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firmxe2x80x99s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:Experience productionizing machine learning methodologies such as regression, classification, clustering, matrix factorization, predictive analytics, decision trees, support vector machines, neural networks / Deep Learning, video and image analyticsxc2xb7 Strong understanding of linear algebra, optimization, probability, statistics, computer architecture, OS, Networkingxc2xb7 Strong hands-on experience in building end-to-end AI and Machine learning models - Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice recognition).xc2xb7 Hands-on experience in exploratory data analyses, data-cleansing, data-wrangling and pre-processingxc2xb7 Strong hands-on experience in Python and other statistical tools (including data visualization techniques) on standalone or cloud applicationsxc2xb7 Experience with Machine Learning Algorithms, frameworks like Caffe, Tensor Flow, H2O and Convolution Neural Network Architectures (SSD, YOLO) performing real-time Object detection and classification is a must.xc2xb7 Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc.xc2xb7 Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc.xc2xb7 Proven experience in developing and deploying generative AI models.xc2xb7 Development experience using Python Web Framework (Flask, Django), Python Data Science framework (scikit-learn, SparkML), API Management frameworkxc2xb7 Development experience in building Cloud based solutions using AWS/Azure/GCPxc2xb7 Ability to learn new scripting language or analytics platformxc2xb7 Exposure to data visualization tools such as PowerBI, Tableau, etc.xc2xb7 ML Ops, ML Deployment experience (optional)xc2xb7 Exposure to application development tools such as R Shiny (optional)xc2xb7 Full Stack Data Scientist will be preferredxc2xb7 Conduct thorough testing and validation to ensure model reliability and robustness.xc2xb7 Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project.xc2xb7 Stay up-to-date with the latest advancements in generative AI and deep learning.xc2xb7 Strong data representation and lucid presentation (of analysis/modelling output) using Power Point, Excel, Streamlit etc.Mandatory skill sets:Data scientistPreferred skill sets:Data scientistYears of experience required:4-8Education qualification:B. Tech / M.Tech (Engg.), MBA, M.Sc. / M. Stat/ MS (Statistics / Mathematics) with strong programming knowledgeEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills GCP AuditingOptional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more}Desired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date

PwC