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. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.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.
Skills
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.
The OpportunityWhen you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.As part of the Data Science and Machine Learning Engineering team you will architect and deliver end-to-end AI-integrated applications at scale. As a Manager, you will lead teams and projects, promoting successful implementation of innovative solutions while driving performance and security across cloud-native and on-prem deployments.
Responsibilities
- Architect and implement AI-integrated applications at scale
- Lead project teams to secure successful solution delivery
- Drive performance and security across various deployments
- Mentor team members in technical and project management skills
- Collaborate with stakeholders to define project requirements
- Analyze and enhance application performance and scalability
- Embrace innovative technologies to improve project outcomes
- Uphold exemplary practices in software development and engineering
What You Must Have
- Bachelor's Degree
- 7 years of experience
- Oral and written proficiency in English required
- Certifications in AI/ML, Deep Learning and NLP from Learning platforms such as Coursera, Udemy or equivalent
- Certifications on Cloud Architecture (GCP/Azure/AWS)
What Sets You Apart
- Experience designing and building AI applications
- Hands-on experience with Python and backend stacks
- Familiarity with cloud platforms and container orchestration
- Experience with frameworks like LangChain and LangGraph
- Integrating Azure OpenAI and other AI models
- Background in event-driven systems and messaging
- Certifications in AI/ML, Cloud Architecture
