Cloud Engineering, Data & Analytics - Data Science - Summer/Fall 2026 Associate

PwC • Washington, DC

1d • $61,000 - $100,000

About The Position

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving 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. 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 As a Cloud Engineering, Data & Analytics - Data Science professional, you will engage in the dynamic world of data analysis, leveraging your skills to transform complex data into actionable insights. This role involves working closely with clients to understand their needs and deliver data-driven solutions that enhance decision-making processes. You will be at the forefront of utilizing advanced data analytics tools and techniques to uncover trends and opportunities within financial markets. As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage projects, and inspire others. This role encourages you to embrace challenges as opportunities for growth, enhancing your personal brand and technical knowledge. In this role, you will be part of a team that supports the Data and Analytics group, where you will apply your skills in data modeling, machine learning, and statistical analysis to deliver impactful solutions. Your contributions will be vital in helping clients navigate complex data landscapes and data integrity, and driving business success through informed decision-making.

Requirements

• Currently pursuing or have completed a Bachelor's degree
• Client service associate positions are entry-level roles intended for job seekers who are completing or have recently completed their final academic year of educational requirements

Nice To Haves

• Preference for one of the following field(s) of study: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics
• Preference for a 3.3 overall GPA
• Demonstrating proficiency in Python and machine learning
• Utilizing Power BI and Tableau for data visualization
• Conducting complex data analysis and predictive analytics
• Developing data-driven insights for client support
• Engaging in algorithm development and data modeling
• Excelling in data security and validation techniques
• Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes

Responsibilities

• Conducting complex data analysis to extract meaningful insights and support decision-making processes
• Developing algorithms and predictive models using machine learning techniques to enhance data-driven insights
• Utilizing Python and statistical analysis software for data modeling and validation tasks
• Building and maintaining data pipelines to ensure seamless data integration and management
• Creating interactive dashboards and visualizations using Power BI and Tableau to communicate data findings effectively
• Collaborating with teams to conduct analytic research and customer analysis for business improvement
• Implementing data security measures to protect sensitive information and maintain data integrity
• Engaging in exploratory data analysis to identify trends and patterns within large datasets
• Supporting client engagements by applying business data analytics techniques to address specific needs

Benefits

• PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
• To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level