PwC
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Operations
Management Level
Senior Associate
Job Description & 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 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:
· Build responsive web applications using React, Angular. · Implement AI-powered UI components and real-time chat interfaces · Create intuitive user experiences for AI-driven features · Design and build robust APIs and microservices using Node.js, Python, or Java · Implement server-side logic for AI model integrations and data processing · Create authentication, authorization, and security frameworks · Build event-driven architectures and real-time communication systems · Integrate LLM APIs (OpenAI, Anthropic, AWS Bedrock) into web applications · Develop conversational AI interfaces with context management · Build RAG systems with vector databases for semantic search · Implement streaming AI responses and real-time interactions · Create prompt engineering frameworks and AI workflow orchestration · Deploy applications on AWS, Azure, or GCP using serverless and containerized solutions · Implement CI/CD pipelines for automated testing and deployment · Design scalable cloud architectures with auto-scaling capabilities
· Set up monitoring, logging, and performance optimization · Manage database solutions and data storage systems
Mandatory skill sets:
· Frontend Technologies: JavaScript/TypeScript (Advanced), React/Angular/Vue.js, HTML5/CSS3, Responsive Design · Backend Technologies: Node.js/Python/Java, RESTful APIs, Database Management (SQL/NoSQL), Authentication Systems · Cloud Platforms: AWS/Azure/GCP Core Services, Serverless Computing, Container Technologies (Docker) · Generative AI Integration: LLM API Integration (OpenAI/Anthropic/AWS Bedrock), Basic Prompt Engineering, Vector Databases · DevOps & Tools: Git Version Control, CI/CD Pipelines, Application Monitoring, Testing Frameworks · Web Development Fundamentals: Cross-browser Compatibility, Web Security Best Practices, Performance Optimization, API Design
Preferred skill sets:
· Advanced Frontend: Next.js/Nuxt.js, State Management (Redux/MobX), TypeScript Advanced Features, PWA Development · Advanced Backend: GraphQL, Microservices Architecture, Message Queues (Redis/RabbitMQ), WebSocket Programming · Advanced AI Integration: RAG System Development, LangChain/LlamaIndex, AI Model Fine-tuning, Conversational AI Design · Cloud & Infrastructure: Kubernetes, Infrastructure as Code (Terraform), Multi-cloud Architecture, Edge Computing · Database & Data: Vector Databases ,Data Pipeline Development, Real-time Data Processing · DevOps & Monitoring: Advanced CI/CD (Jenkins/GitHub Actions), Container Orchestration, APM Tools, Security Scanning.
Years of experience required:
4-9 Years
Education qualification: B. E/ B. Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Cloud Software
Optional 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 {+ 16 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
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