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.

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 Commercial Technology & Innovation Office - Data Science Associate, you will engage in the dynamic world of data science and machine learning engineering, contributing to innovative projects that drive impactful solutions. You will be part of a team that leverages cutting-edge technologies to analyze complex data and develop predictive models, enhancing decision-making processes for our clients.

As an Associate, you will focus on learning and contributing to client engagements, developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In increasingly complex situations, you will build acumen to anticipate the needs of your teams and clients, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.

In this role, you will have the opportunity to work with a diverse range of data science tools and methodologies, including machine learning libraries, to create impactful solutions. Your contributions will support the development of data-driven strategies and enhance the overall effectiveness of our client support services.

Responsibilities

- Engaging in data science and machine learning projects to support client needs
- Applying data modeling techniques to organize and structure data efficiently
- Utilizing programming languages such as C++ and R for developing data-driven solutions
- Conducting complex data analysis to extract meaningful insights and inform decision-making
- Implementing machine learning algorithms using libraries to enhance predictive modeling capabilities
- Collaborating with team members to design and maintain data pipelines for seamless data flow
- Leveraging artificial intelligence and natural language processing to develop innovative solutions
- Participating in project management tasks to ensure timely delivery of data science initiatives
- Analyzing large datasets to identify patterns and trends that drive business strategies
- Supporting the development of data engineering processes to improve data accessibility and quality

What You Must Have

- 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

What Sets You Apart

- Preference for one of the following field(s) of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Preference for a 3.3 overall GPA
- Demonstrating proficiency in machine learning and data science algorithms
- Utilizing programming languages such as C++ and R for data analysis
- Excelling in complex data analysis and predictive modeling techniques
- Applying artificial intelligence and natural language processing in projects
- Managing data-driven decision-making processes effectively
- Engaging in project management to support client-focused initiatives
-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.



The salary range for this position is: $50,500 - $112,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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