IN_Senior Associate_Data Science & Gen AI_D&A_Advisory_Ahmedabad

Job Description & Summary: PwC India is seeking a skilled and motivated Senior Associate specializing in Data Science and Generative AI to join our Data & Analytics Advisory team. This role involves designing and deploying advanced AI and machine learning models, driving innovation through generative AI solutions, and collaborating with cross-functional teams to solve complex business challenges. The ideal candidate will have strong technical expertise in AI/ML, experience in enterprise-scale data science projects, and the ability to translate business requirements into scalable AI-powered products. Job Position Title: IN_Senior Associate_Data Science & Gen AI_D&A_Advisory_Ahmedabad Responsibilities: Design, develop, and deploy data science models and generative AI applications to address business problems across diverse domains. Work closely with business stakeholders to gather requirements and translate them into technical solutions including business requirements documents (BRDs), user stories, and acceptance criteria. Build, fine-tune, and optimize large language models (LLMs) and other generative AI frameworks to automate processes and enhance data-driven decision-making. Implement machine learning pipelines involving data preprocessing, feature engineering, model training, evaluation, and deployment using tools like Python, PyTorch, TensorFlow, and cloud AI services. Collaborate with engineering and data teams to integrate AI models into scalable production environments using best practices such as MLOps. Lead User Acceptance Testing (UAT) efforts, coordinate with QA teams to ensure high-quality deliverables, and manage stakeholder sign-offs. Monitor model performance post-deployment and propose improvements based on feedback and new data insights. Drive adoption planning and change management initiatives to ensure business and user engagement with AI-powered solutions. Stay abreast of the latest advancements in generative AI, natural language processing (NLP), and machine learning to recommend innovative approaches. Mandatory skill sets: 3-7 years of experience in data science, machine learning, or AI roles, with hands-on experience in building and deploying AI/ML models. Strong expertise in generative AI technologies including fine-tuning large language models (GPT, LLaMA, Claude etc.) and familiarity with techniques such as LoRA, PEFT, QLoRA. Proficiency in programming languages such as Python and frameworks like PyTorch or TensorFlow. Experience with NLP/NLU/NLG techniques and advanced text analytics. Exposure to MLOps and model lifecycle management best practices. Ability to create clear BRDs, user stories, and acceptance criteria with experience working in Agile teams. Hands-on knowledge of cloud platforms and AI services (Azure, AWS, Google Cloud). Strong analytical and problem-solving skills with excellent written and verbal communication abilities. Experience coordinating UAT activities and managing stakeholder expectations. Preferred skill sets: Familiarity with enterprise AI platforms and products like LangChain, vector databases, or Retrieval-Augmented Generation (RAG) frameworks. Exposure to containerization (Docker, Kubernetes) and scalable AI deployment architectures. Experience with data engineering tools such as Apache Spark, Airflow, or Azure Data Factory. Background in consulting or advisory roles with exposure to industry-specific AI use cases (finance, healthcare, supply chain, etc.). Certifications in AI/ML or Agile methodologies (CSPO, PMI-ACP, etc.) will be an added advantage. Years of experience required: 3-7 Years Education qualification: BE, <B.Tech>, MCA, <M.Tech>, MSc (Computer Science, Data Science, AI/ML) or equivalent.