PwC
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.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the FSRR Tech & Analytics team you will design, implement, and enhance innovative AI- and data-driven solutions that tackle complex challenges in the Financial Services Risk and Regulatory domain. As a Senior Associate, you will analyze intricate problems, mentor junior team members, and build meaningful client relationships while navigating the complexities of machine learning and generative AI development. This role offers the chance to work closely with cross-functional teams and leverage advanced technologies to drive impactful results.
Responsibilities
Mentor junior team members to enhance their skills and knowledge
Refine machine learning models and generative AI applications
Utilize cloud platforms such as AWS, Azure, or Google Cloud for project execution
Stay updated on industry trends and emerging technologies
What You Must Have
Bachelor's Degree
At least 3 years of experience
What Sets You Apart
Master's Degree in Computer Science, Data Processing/Analytics/Science, Statistics preferred
Certification in Microsoft Copilot preferred
Demonstrating proficiency in machine learning and generative AI
Utilizing Python for data-driven solutions
Leveraging cloud platforms like AWS, Azure, or Google Cloud
Analyzing complex business challenges in Financial Services Risk and Regulatory
Designing and optimizing AI-driven solutions
Having experience with data processing and analysis tools (e.g., Pandas, NumPy, SQL)
Being proficient in Python and ML libraries (e.g., Sci-KitLearn, TensorFlow, PyTorch)
Possessing a thorough understanding of data structures, algorithms, and statistical method
Rapidly translate business requirements into working prototypes and deployable apps using modern full stack frameworks (e.g., Next.js, Material UI, React).
Confidently wire up front-end interfaces with backend APIs, databases, and cloud services to deliver functional end-to-end solutions with minimal handoff.
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: $77,000 - $202,000, 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: https://pwc.to/benefits-at-a-glance
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.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the FSRR Tech & Analytics team you will design, implement, and enhance innovative AI- and data-driven solutions that tackle complex challenges in the Financial Services Risk and Regulatory domain. As a Senior Associate, you will analyze intricate problems, mentor junior team members, and build meaningful client relationships while navigating the complexities of machine learning and generative AI development. This role offers the chance to work closely with cross-functional teams and leverage advanced technologies to drive impactful results.
Responsibilities
Mentor junior team members to enhance their skills and knowledge
Refine machine learning models and generative AI applications
Utilize cloud platforms such as AWS, Azure, or Google Cloud for project execution
Stay updated on industry trends and emerging technologies
What You Must Have
Bachelor's Degree
At least 3 years of experience
What Sets You Apart
Master's Degree in Computer Science, Data Processing/Analytics/Science, Statistics preferred
Certification in Microsoft Copilot preferred
Demonstrating proficiency in machine learning and generative AI
Utilizing Python for data-driven solutions
Leveraging cloud platforms like AWS, Azure, or Google Cloud
Analyzing complex business challenges in Financial Services Risk and Regulatory
Designing and optimizing AI-driven solutions
Having experience with data processing and analysis tools (e.g., Pandas, NumPy, SQL)
Being proficient in Python and ML libraries (e.g., Sci-KitLearn, TensorFlow, PyTorch)
Possessing a thorough understanding of data structures, algorithms, and statistical method
Rapidly translate business requirements into working prototypes and deployable apps using modern full stack frameworks (e.g., Next.js, Material UI, React).
Confidently wire up front-end interfaces with backend APIs, databases, and cloud services to deliver functional end-to-end solutions with minimal handoff.
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: $77,000 - $202,000, 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: https://pwc.to/benefits-at-a-glance