GPS XSector
Specialism
Operations
Management Level
Senior Associate
& Summary
At PwC, our people in software and product innovation focus on developing cuttingedge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
In business analysis at PwC, you will focus on analysing and interpreting data to provide strategic insights and recommendations for improving business performance. Your work will involve strong analytical skills and the ability to effectively communicate findings to stakeholders.
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 purposeled and valuesdriven 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 .
& Summary At PwC, our purpose is to build trust in society and solve important problems. We re a network of firms in 157 countries with more than 300,000 people who are committed to delivering quality in Assurance, Advisory and Tax services. Within Advisory, PwC has a large team that focus on transformation in Government through Digital inclusion. The open position is for a candidate who desires to work with government clients and bring about a change in society. A successful candidate will be expected to work proactively and effectively on multiple client engagements over the period of time and take ownership of the entire project delivery he/she entrusted with.
Responsibilities
Lead the design and implementation of AI/ML models, particularly in the areas of Generative AI and advanced data analytics Develop and finetune large language models (LLMs) and transformerbased architectures for specific use cases Collaborate with data engineers, product owners and business stakeholders to translate requirements into intelligent solutions Deploy ML models in production using MLOps practices, ensuring scalability and performance Drive experimentation with cuttingedge Gen AI techniques (e.g., text generation, summarization, image synthesis) Conduct data exploration, feature engineering and statistical modeling to support various business needs Mentor junior team members and guide them in model development and evaluation best practices Stay up to date with the latest research and industry trends in AI, ML and Gen AI Document methodologies, models and workflows for knowledge sharing and reuse
Mandatory skill
sets 4+ years of experience in AI/ML and data science, with proven experience in Generative AI Handson expertise with Python and relevant ML/AI libraries (e.g., PyTorch, TensorFlow, Hugging Face, Scikitlearn) Strong understanding of LLMs (e.g., GPT, BERT, T5), transformers and prompt engineering Experience with NLP techniques such as text classification, summarization, entity recognition and conversational AI Ability to build and evaluate supervised and unsupervised learning models Proficient in data wrangling, exploratory data analysis and statistical techniques Familiarity with model deployment tools and platforms (Docker, FastAPI, MLflow, AWS/GCP/Azure ML services) Excellent problemsolving, analytical thinking and communication skills
Preferred skill sets Experience finetuning opensource LLMs using domainspecific data Exposure to reinforcement learning (RLHF), diffusion models or multimodal AI
Familiarity with vector databases (e.g., FAISS, Pinecone) and retrievalaugmented generation (RAG) architectures Experience with ML pipelines and automation (CI/CD for ML, Kubeflow, Airflow) Background in conversational AI, chatbots or virtual assistants Knowledge of data privacy, ethical AI and explainable AI principles Publications, Kaggle participation or opensource contributions in the AI/ML space
Years of experience
required 4+ years
Education
qualification Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Statistics or a related field
Education
Degrees/Field of Study required Bachelor of Engineering
Degrees/Field of Study preferred
Required Skills
AI Programming
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Administration, Business Analysis, Business Case Development, Business Data Analytics, Business Process Analysis, Business Process Modeling, Business Process ReEngineering (BPR), Business Requirements Analysis, Business Systems, Communication, Competitive Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Feasibility Studies, Functional Specification, Inclusion, Intellectual Curiosity, IT Project Lifecycle, Learning Agility {+ 19 more}
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