Job
Description
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. Why PWC At 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 about us. 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 firm’s 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 analytics Strong understanding of linear algebra, optimization, probability, statistics, computer architecture, OS, Networking 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). Hands-on experience in exploratory data analyses, data-cleansing, data-wrangling and pre-processing Strong hands-on experience in Python and other statistical tools (including data visualization techniques) on standalone or cloud applications 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. Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc. Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc. Proven experience in developing and deploying generative AI models. Development experience using Python Web Framework (Flask, Django), Python Data Science framework (scikit-learn, SparkML), API Management framework Development experience in building Cloud based solutions using AWS/Azure/GCP Ability to learn new scripting language or analytics platform Exposure to data visualization tools such as PowerBI, Tableau, etc. ML Ops, ML Deployment experience (optional) Exposure to application development tools such as R Shiny (optional) Full Stack Data Scientist will be preferred Conduct thorough testing and validation to ensure model reliability and robustness. Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project. Stay up-to-date with the latest advancements in generative AI and deep learning. Strong data representation and lucid presentation (of analysis/modelling output) using Power Point, Excel, Streamlit etc. Mandatory Skill Sets Data scientist Preferred Skill Sets Data scientist Years Of Experience Required 9-12 Education Qualification B. Tech / M.Tech (Engg.), MBA, M.Sc. / M. Stat/ MS (Statistics / Mathematics) with strong programming knowledge Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date
