Jobs Available at PricewaterhouseCoopers (PwC)

Key Responsibilities:

• As an Associate / Senior Associate within the Firm & Personal Independence team, you will play a crucial role in ensuring compliance and upholding independence standards within the organisation. Your responsibilities will include:
• Responding to Independence Queries: Promptly addressing and providing guidance on independence queries raised by the practice, ensuring adherence to relevant policies and regulations.
• Updating Independence Systems: Regularly updating independence systems with information provided by the practice, maintaining accurate and up-to-date records to facilitate compliance monitoring.
• Assisting Process and Project Managers: Collaborating with process and project managers to coordinate and deliver personal independence activities effectively, ensuring alignment with organisational objectives.
• Liaising with Various Teams: Facilitating communication and collaboration between teams in the UK and overseas, fostering synergy and ensuring consistency in independence practices across different regions.
• Involvement in Ad-hoc Projects: Participating in ad-hoc projects and supporting various independence activities as needed, demonstrating flexibility and adaptability to meet evolving business needs.
• Continuous Research and Stay Updated: Keeping abreast of the latest reporting developments and regulatory requirements through continuous research, enabling informed decision-making and proactive compliance measures.
• Managing Relationships: Cultivating and managing day-to-day relationships with key clients and internal stakeholders, promoting transparency, trust, and effective communication channels.
• Fostering a Positive Team Environment: Contributing to the creation of a positive and inclusive team environment, where collaboration, mutual respect, and diversity are valued and celebrated.

Experience required:

• Candidates with experience aligned with the outlined activities will be highly valued for the Associate role in PwC's Independence team in SATIC. Specifically, we are looking for individuals who possess the following experiences and skills:
• Project Management Skills: Demonstrated ability to effectively manage multiple engagements simultaneously. This includes coordinating tasks, setting timelines, allocating resources, and ensuring that projects are completed efficiently and within budget.
• Experience in a Fast-Paced Environment: The ability to thrive in a fast-paced and dynamic environment is essential. Candidates should be comfortable working under pressure, adapting to changing priorities, and meeting tight deadlines without compromising quality.
• Clear and Effective Communication Skills: Strong communication skills are paramount for success in this role. Candidates should be able to articulate ideas, convey information clearly and concisely, and engage effectively with colleagues and clients at all levels of the organisation.
• Ability to Build Key Stakeholder Relationships: Building and maintaining relationships with key stakeholders, both internally within the firm and externally with clients, is critical. Candidates should demonstrate the ability to establish rapport, foster collaboration, and effectively navigate interpersonal dynamics to achieve common goals.

Qualifications /Certifications required:

• We welcome candidates with diverse backgrounds and experiences, ranging from various levels of experience (who are the school leavers we discussed initially?) to university degrees and professional qualifications in relevant subject matter areas. However, regardless of your educational background or professional qualifications, we place significant emphasis on the following qualities:
• Practical and Methodical Problem-Solving Skills: We value individuals who can approach problems in a systematic and methodical manner, paying attention to detail and finding practical solutions even in high-pressure situations.
• Effective Communication and Relationship Building: Confidence in liaising with individuals at all levels within the organisation is essential. Strong communication skills, both verbal and written, are key to building and maintaining relationships across the firm.
• Adaptability and Learning Agility: Demonstrating a willingness and enthusiasm for acquiring new knowledge and skills is crucial. The ability to adapt to changing circumstances and evolving technical areas is highly valued in our team.

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Qualifications / Certifications required:

• Bachelor’s degree in engineering, information technology, business administration or related field
• Relevant certifications in process management, business analysis or digital transformation

Experience required:

• Minimum 3 years working experience in process engineering, business analysis, process architecture, user experience design within Banking sector
• Proven experience in designing and implementing digital solutions for process optimisation
• Strong understanding of business process analysis and process excellence
• Proficiency in digital transformation and automation technologies
• Experience with process mapping and modeling tools
• Knowledge of digital technologies like RPA, AI, Cloud, Workflow, NLP etc. will be advantageous.
• Excellent analytical and problem solving abilities
• Proven experience in requirements gathering and documentation (PDD, BRD, FRD)
• Strong communication and collaboration skills

Responsibilities of role:

Process analysis and optimisation:

• Analyze existing business processes to identify inefficiencies and opportunities for digital transformation
• Map current processes and develop future-state process models
• Collaborate with stakeholders to understand requirements and objectives

Digital solution design:

• Design and develop digital solutions to automate and optimise business processes. 
• Evaluate and select appropriate technologies and tools for process digitisation
• Develop technical specifications and documentation for digital solutions

Implementation and integration:

• Lead the implementation of digital solutions, ensuring seamless integration with existing systems
• Configure and customize software applications to meet process requirements
• Oversee the testing and validation of digital solutions to ensure functionality and performance

Continuous improvement:

• Monitor the performance of digital solutions and identify areas for improvement
• Stay updated with industry trends in process digitisation
• Implement best practices for process digitisation and automation

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Qualifications / Certifications required:

• Bachelor’s Degree in Mathematics/Statistics and 8 or more years of experience in the Predictive Analytics area 
• Degree or Certification in AI and GenAI from reputed university

Experience required:

• Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI.  
• Proven architecture experience within the Retail Banking sector
• Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks.  
• Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.  
• Proven expertise with LLMs (Microsoft Azure Open AI – Chat GPT 4.0 and other LLM models) including API access for GenAI.  
• Proven expertise in CI/CD pipeline design and management in the Generative AI space including experience with LLMOPS.  
• Understanding of AI agents (both worker and orchestrator) to facilitate decisioning and deployment of complex applications.
• Proven experience with Python development and troubleshooting code.
• Strong knowledge of containerization and orchestration tools.
• Experience with cloud platforms (AWS, Azure) and infrastructure as code.
• Multi-year experience with AI and machine learning concepts and tools.
• Exceptional communication and collaboration skills. 

Responsibilities of role:

• Understand client's vision, goals, and strategies. Aligns department priorities appropriately, determines critical success factors, evaluates, and pursues initiatives based on fit with strategies.  
• Play an instrumental and influential role in driving Generative AI vision, strategy, and architecture.  
• Designing, developing, and overseeing the implementation of GenAI solutions that solve complex business problems. You'll work closely with product managers, software engineers, data scientists, and other customers to conceptualize, prototype, test, and release GenAI Solutions.
• Design and develop the architecture and infrastructure for GenAI systems, including data storage, processing, and retrieval mechanisms. Ensure scalability, flexibility, performance, and efficiency of the GenAI systems to handle large volumes of data and complex algorithms seamlessly.
• Keep current on latest developments in the field of AI, Machine Learning, Deep Learning, NLP, Image processing and by reading relevant papers/ journals and applying the new learnings to create innovative data and analytics solutions.
• Conduct POCs, Pilots on reusable, scalable data processing, curation, and consumption frameworks to eliminate point solutions.
• Take ownership of operationalization of AI processes while designing solutions to optimize data pipelines, model deployment, and model monitoring.
• Evaluate, analyze, and optimize system resources related to large scale data processing, image processing, computer vision and deep learningDesign and build scalable infrastructure and platform to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real-time into the cloud-based Data Lake
• Work closely with the engineering and the platform team to deliver technical solutions. This includes end to end data orchestration, data layering, data governance, metadata management and data cataloging.
• Partner with data science, actuarial science, underwriting, claims and various business groups on deep rooted data analysis including propensity scores, catastrophic modeling, time-series analysis, and forecasting.
• Should lead the decision-making process for technical and architectural choices with PwC alliance partners (for example: Microsoft, SAP, Amazon etc.) to ensure that solutions are scalable, maintainable, and cost-effective.
• Ensure alignment to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks associated with AI systems to ensure responsible deployment and usage.
• Test and evaluate different Gen AI models and algorithms to determine their effectiveness to meet business needs. Should Provide technical guidance and mentorship to Development and other team members.
• Define AI solution objectives and ensure alignment with business outcomes
• Monitor AI industry trends and maintain state-of-the-art industry knowledge
• Implement best practices for AI testing, deployment, and maintenance

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Qualifications / Certifications required:

• Bachelor’s degree in computer science, Engineering, Data Science or a related field
• Relevant certifications in AI/ML or related fields are highly advantageous

Experience required:

• Minimum 4 years working experience in AI/ML engineering or related roles
• Proven work experience in developing and deploying AI/GenAI models
• Relevant working experience in Retail Banking
• Strong understanding of machine learning, deep training, and generative AI techniques
• Proficiency in programming languages such as Python, R, and Java
• Experience with AI/ML frameworks and libraries (TensorFlow, PyTorch, Keras)
• Solid experience developing and implementing generative AI models and algorithms utilising techniques such as GPT, VAE and GANs.
• Knowledge of natural language processing (NLP), computer version, and other AI application areas
• Experience with data preprocessing, feature engineering, and model evaluation. 
• Familiarity with cloud platforms and services (AWS, Azure, Google Cloud)
• Excellent analytical and problem solving abilities
• Strong communication and collaboration skills
• Ability to work independently and as part of a team. 

Responsibilities of role:

Model Development:

• Design, develop, and deploy advanced AI and generative AI models
• Conduct research to improve existing models and create new algorithms

Data management:

• Collect, preprocess, and analyse large datasets to train AI models
• Ensure quality data, consistency, and integrity throughout the development process. 

Solution implementation:

• Implement AI models into production systems, ensuring scalability and performance. 
• Collaborate with software engineers to integrate AI solutions with existing applications.

Performance Monitoring and Optimisation:

• Monitor the performance of AI models and make necessary adjustments to improve accuracy and efficiency.
• Conduct experiments and A/B tests to validate model improvement. 

Collaboration and Communication:

• Work closely with cross-functional teams, including data scientists, project managers, and software engineers, to deliver AI-driven solutions
• Present findings, insights, and recommendations to stakeholders in a clear and concise manner.

Innovation and Research:

• Stay updated with the latest advancements in AI and generative AI technologies. 
• Participate in research projects and contribute to the development of innovative solutions. 

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Qualifications / Certifications required:

• Bachelor’s degree in Computer Science, Information Technology and/or related field
• Relevant certifications in MDM, data management and/or related areas - advantageous

Experience required:

• Minimum 10 years experience in MDM and data architecture roles
• Hands on experience of implementing Data Fabric solution
• Demonstrated experienced in designing and implementing enterprise-level data management solutions
• Relevant working experience in Banking
• Strong understanding of data governance, data quality frameworks, and best practices.
• Proficiency in data integration, data modeling and data warehousing.
• Experienced with MDM tools and platforms (Informatica, IBM Infosphere, Talend)
• Familiarity with data fabric technologies and solutions (Microsoft Fabric, Denodo, Talend Data Fabric)
• Knowledge of cloud platforms and services (preferably Azure and AWS)
• Excellent analytical and problem solving skills
• Strong communication and collaboration skills
• Proven ability to lead and manage project effectively

Responsibilities of role:

MDM Solution Design and Implementation:

• Design and implement robust MDM solutions to ensure accurate, consistent, and complete master data across the organisation
• Develop and enforce data governance policies and standards

Data Fabric Architecture:

• Design and implement a scalable and flexible data fabric architecture to support seamless data integration, access, and management
• Ensure data fabric solutions align with business goals and technology advancements

Data Quality and Governance

• Establish data quality frameworks and processes to ensure the accuracy and integrity of master data
• Collaborate with data stewards and business units to enforce data governance policies and procedures

Integration and Interoperability:

• Oversee the integration of MDM and data fabric solutions with existing systems and applications
• Ensure interoperability between various data sources and platforms

Technical leadership:

• Provide technical leadership and guidance to the data management team and other stakeholders
• Stay updated with industry trends and emerging technologies in data management and architecture

Project management:

• Lead and manage MDM and data fabric projects, ensuring timely delivery  and adherence to budgets
• Coordinate with cross-functional teams to meet project objectives and deliverables