Industry/Sector
Not Applicable
Specialism
Data Science
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.
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.
The Opportunity
- When 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 collaborate with data scientists, researchers, and product teams to build resilient, cloud-native AI systems. As a Senior Associate you will analyze complex problems, mentor others, and maintain exceptional standards while building meaningful client connections and enhancing your technical knowledge. This role offers the chance to work at the forefront of AI engineering, driving enterprise innovation and transforming business through scalable AI/ML solutions.
Responsibilities
- Collaborate with data scientists and product teams to develop cloud-native AI systems
- Analyze intricate problems and propose impactful solutions
- Mentor junior team members to enhance their skills and knowledge
- Maintain exceptional standards in project deliverables and client interactions
- Build and nurture meaningful relationships with clients
- Enhance technical proficiency in AI engineering and related technologies
- Drive innovation through scalable AI and machine learning solutions
- Contribute to the overall success of enterprise initiatives
What You Must Have
- Bachelor's Degree in Computer Science, Engineering, or related technical field
- 3 years of experience in AI/ML engineering, MLOps, or DevOps
- Oral and written proficiency in English required
What Sets You Apart
- Experience deploying and maintaining LLM-based applications
- Proficiency in cloud platforms including Azure, AWS, or GCP
- Managing and monitoring ML lifecycle effectively
- Optimizing model serving infrastructure for speed and scalability
- Collaborating with AI researchers for production-ready solutions
- Implementing security and compliance standards in AI pipelines
- Knowledge of data pipelines using tools like Apache Airflow
- Exposure to logging and observability tools like ELK stack
Travel Requirements
Not Specified
Job Posting End Date
