Software Engineering - Data Scientist - Associate

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.Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
  

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 AI Engineering team you will design and deliver scalable AI applications while conducting applied research in Generative AI and深度学习. As an Associate you will focus on learning and contributing to projects, developing your skills and knowledge to deliver quality work while building meaningful client connections and navigating complex situations. This role offers the chance to work with advanced technologies and be part of a impactful team dedicated to driving enterprise innovation.

Responsibilities

• Design and implement scalable AI applications
• Conduct applied research in Generative AI and advanced learning
• Collaborate with team members to enhance project outcomes
• Develop technical skills to support project tasks
• Build and maintain relationships with clients
• Analyze data to derive insights and inform decisions
• Adapt to evolving technologies and methodologies
• Contribute to a significant team focused on innovation
  

What You Must Have

• Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
• 2 years of experience
• Oral and written proficiency in English required
  

What Sets You Apart

• Bachelor's Degree in Computer Science, Engineering preferred
• Proficiency in Python and data science libraries
• Experience with Generative AI and prompt engineering
• Knowledge of NLP techniques and transformer architectures
• Familiarity with cloud platforms, preferably Azure
• Understanding of production-level AI systems
• Experience with Docker and containerized deployments
• Desire to innovate and automate processes
• A mindset of continuous learning and technical curiosity