Job Description

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Banking and Capital Markets **Time Type:** Full time **Travel Requirements:** Up to 40% 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 part of the Data and Analytics Engineering team you contribute to designing, implementing, and refining AI-driven solutions that address complex business challenges in the Financial Services Risk and Regulatory domain. As an Associate you focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You engage with cross-functional teams, utilizing your proficiency in Python and cloud platforms, and stay current with advancements in machine learning and generative AI. Responsibilities - Collaborating with cross-functional teams to develop AI-driven solutions - Applying machine learning techniques to solve business challenges - Enhancing skills and knowledge in data science and analytics - Supporting client engagements with technical proficiency - Adapting to evolving project requirements and environments What You Must Have - Bachelor's Degree in Management Information Systems, Management Information Systems & Accounting, Management of Technology, Systems Engineering, Mathematical Statistics, Mathematics, Electrical Engineering, Industrial Engineering, or Computer and Information Science & Accounting - 1 year of experience What Sets You Apart - Master of Science in Computer Science, Data Processing/Analytics/Science, Analytics, Computer Systems Analysis, or Statistics preferred - Microsoft Copilot certification preferred - Proficiency in Python and ML libraries - Hands-on experience with cloud platforms - Understanding of data structures and algorithms - Experience with data processing and analysis tools - Proven capability with problem-solving and attention to detail - Familiarity with regulatory compliance in financial services Learn more about 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: 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: $75,000 - $118,000, 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:

Job Tags

Full time, H1b,

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