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Line of Service Industry/Sector Specialism Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge 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. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. About the Role We are looking for a highly skilled Senior Frontend Engineer with deep expertise in Angular to join our growing engineering team. You will play a key role in designing, developing, and maintaining scalable and high-performance web applications that deliver exceptional user experiences. Key Responsibilities Lead the design and development of complex frontend features using Angular (v12+). Collaborate with UX/UI designers, backend engineers, and product managers to deliver high-quality solutions. Optimize applications for maximum speed and scalability. Write clean, maintainable, and well-documented code. Conduct code reviews and mentor junior developers. Stay up-to-date with the latest trends and best practices in frontend development. Participate in architectural discussions and contribute to technical decision-making. Ensure cross-browser compatibility and responsiveness across devices. Implement and maintain unit and integration tests. Required Qualifications 5+ years of professional experience in frontend development. 3+ years of hands-on experience with Angular (preferably Angular 12 or later). Strong proficiency in TypeScript, JavaScript, HTML5, and CSS3. Experience with state management libraries (e.g., NgRx, Akita). Familiarity with RESTful APIs and asynchronous request handling. Solid understanding of frontend build tools and CI/CD pipelines. Experience with testing frameworks (e.g., Jasmine, Karma). Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications Experience with micro-frontend architecture. Familiarity with Webpack, Vite, or similar bundlers. Knowledge of accessibility standards (WCAG). Experience with performance profiling and optimization. Required Skills Optional Skills Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Creativity {+ 46 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Manager Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Learning Agility, Managed Services, Optimism, Privacy Compliance, Professional Courage {+ 13 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date Show more

Job Description Hill International is looking for strong professionals with experience in rail or metro construction project for our projects based in North Africa region. Responsibilities Planning and execution of complex design build projects with expertise working for contractors and clients. Developing construction methodologies, plans, policies, procedures for budgets, schedules, operations, document control and managing these to handover. Coordinating and managing design, driving design innovation and value-engineering to redu c e costs and improve buildability. Expertise in interdisciplinary coordination and integration of railway systems, Scada, Signaling, Telecommunication, Energy, Trackwork and D e pot Equipment with civil, architectural and MEP works. Qualifications The Candidate should hold a MSc degree and to be able to demonstrate minimum 15 years general experience focused on transport sector. Previous experience in Metro and Rail project in similar role is a must. Candidate should be highly familiarized with Civil and Railway systems About Us Hill International, with more than 4,400+ professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest program management firms in the world. For more information on Hill, please visit our website at www.hillintl.com . Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs. Hill is a GISI Consulting Group company, part of the Global Infrastructure Solutions, Inc. (GISI) family of companies. Learn more about GISI Consulting Group at www.gisiconsulting.com . Hill International is an Equal Opportunity Employer/Veteran/Disabled Note: This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required. Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary As a Machine Learning Engineer you will use techniques such as machine learning and natural language processing to realise authentic, data-driven change and solutions.The team reports to the board and commercial executive and works with clients and PwC leadership across our business units to enhance performance and have impact on value creation. Responsibilities Designing and developing data science and machine learning assets for PwC and its clients Contributing effective, useful code to our Data Science codebase Participating in constant learning through training and skills development Deploying and managing machine learning models in production environments, ensuring scalability, reliability and performance monitoring Embedding Responsible AI practices across the model lifecycle, ensuring fairness, transparency, explainability, bias mitigation and compliance with ethical and regulatory standards Contributing to the strategy and growth of a fast developing data science capability Craft and communicate compelling business “stories” based on analytics insight Business case and Proposal development Presenting findings to senior internal and external stakeholders Being part of this technology innovation effort of the Firm Key Skills Required 4+ Years Experience Statistical Analysis & Machine Learning Theory – Excellent understanding of statistics, machine learning techniques and algorithms. Hands-on experience with regression, classification, clustering and other classical statistical models and algorithms – Must have – Advanced Independently formulate hypotheses, choose and justify appropriate statistical tests and interpret results Select, implement and tune ML algorithms (e.g. random forests, SVMs, gradient boosting) end-to-end, and explain the mathematical foundations and assumptions behind them Hands-on experience designing and validating models for regression, classification and unsupervised learning tasks Deep understanding of bias–variance tradeoff, regularization techniques, and feature selection methods Machine Learning Lifecycle Management – Experience delivering end-to-end solutions from data sourcing and preprocessing through model deployment and results interpretation – Must have – Advanced Architect and execute full pipelines—from data ingestion and feature engineering through model training, validation, deployment, monitoring and retraining, using best practices in reproducibility and CI/CD Troubleshoot production issues (drift, latency, scaling) and optimise models for performance and cost Agile Methodologies – Ability to work effectively in an agile delivery environment, participating in sprint planning, stand-ups and retrospectives – Must have – Intermediate Participate effectively in sprint planning, daily stand-ups and retrospectives Break work into user stories, estimate tasks and collaborate with product owners to groom the backlog Requirements Gathering & Translation – Skill in partnering with product owners to translate business needs into data science requirements and success metrics – Must have – Advanced Lead interactions with stakeholders to outline clear business objectives and translate them into measurable data science success metrics. Draft technical specifications and align on KPIs, risk factors and roadmap milestones Data Science Project Execution – Demonstrable track record of completing data science projects (professional, academic or personal) with a clear business focus – Must have – Advanced Own multiple data science projects from proof-of-concept through delivery, ensuring alignment with business value and timelines Document methodologies, maintain reproducible codebases and present actionable insights to senior leadership Python Programming – Strong programming skills in Python, including libraries like pandas, NumPy, scikit-learn and others for data manipulation and modeling – Must have – Advanced Write clean, modular, well-tested Python code Build custom utilities or packages, optimize critical code paths (vectorization, parallelism) and manage dependencies SQL Querying & Data Manipulation – Practical knowledge of SQL for extracting, transforming and loading data from relational databases – Must have – Intermediate Extract and join complex datasets from relational databases, write performant queries (window functions, CTEs) and perform ETL tasks Version Control & Git – Proficiency with Git for source code management, branching strategies, merging, and collaborative workflows – Must have – Intermediate Use feature branching, pull requests and code reviews in a team setting Data Science Communication – Ability to articulate complex data science concepts and results clearly to both technical and non-technical stakeholders – Must have – Intermediate Craft clear, concise narratives around model design, performance and business impact for both technical and non-technical audiences Design and deliver visuals (e.g. dashboards, slide decks, annotated charts) that guide stakeholders through your methodology, results and recommended actions Team Collaboration & Knowledge Sharing – Enjoy working in cross-functional teams and learning from peers, contributing to collective problem-solving – Must have – Intermediate Mentor junior engineers and foster a culture of continuous learning Contribute to peer code reviews, internal tech talks or knowledge sharing sessions Nice to have Deep Learning Frameworks – Proficiency with frameworks such as TensorFlow, PyTorch, Keras, Theano or CNTK for building and training neural networks – Intermediate Cloud Computing Platforms – Experience working in cloud environments (Azure, GCP or AWS), including managing resources, pipelines and scalable deployments – Intermediate Privacy Enhancing Techniques (PETs) – Some experience with homomorphic encryption, federated learning, differential privacy etc. – Intermediate Relevant experience areas Machine Learning, Generative AI, MLOps & CI/CD, Cloud Native ML Services, Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 26 more} Desired Languages (If blank, desired languages not specified) Travel Requirements 0% Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge 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 technology delivery at PwC, you will focus on implementing and delivering innovative technology solutions to clients, enabling seamless integration and efficient project execution. You will manage the end-to-end delivery process and collaborate with cross-functional teams to drive successful technology implementations. We are looking for a skilled Fullstack Software Developer with expertise in Node.js to join our team. The ideal candidate will be responsible for developing, maintaining, and enhancing web applications, working across both frontend and backend technologies. You will collaborate with designers, developers, and stakeholders to create high-performance, scalable, and user-friendly solutions. Key Responsibilities: Develop and maintain web applications using Node.js for backend services. Design and implement efficient APIs and integrate third-party services. Work with frontend technologies (React, Angular, or Vue.js) to build intuitive user interfaces. Optimize application performance and ensure security best practices. Collaborate with cross-functional teams to define and implement new features. Write clean, maintainable, and well-documented code. Conduct code reviews, troubleshoot bugs, and improve development workflows. Stay updated with industry trends and emerging technologies. Required Qualifications: Proficiency in Node.js and backend frameworks like Express.js or NestJS. Strong experience with frontend technologies such as React, Angular, or Vue.js. Solid understanding of JavaScript, TypeScript, and asynchronous programming. Experience working with databases (SQL or NoSQL, such as PostgreSQL, MongoDB). Knowledge of RESTful APIs and microservices architecture. Familiarity with Docker, Kubernetes, or CI/CD pipelines. Strong problem-solving skills and ability to work in an agile environment. Preferred Qualifications: Experience with cloud services (AWS, Azure, or GCP). Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Client Management, Communication, Creativity, Deliverable Planning, Delivery Management, Developing User Stories, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, IT Business Strategy, IT Consulting, IT Infrastructure, IT Service Management (ITSM), IT Systems Development, Leading Design Workshops, Learning Agility, Market Research, Optimism, Process Improvement {+ 22 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 20% Available for Work Visa Sponsorship? No Government Clearance Required? Yes Job Posting End Date Show more

Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more