PwC
ERCS Data & Tech - Risk & Compliance AI Engineer - Senior Associate
PwC, Washington, District of Columbia, us, 20022
Overview
ERCS Data & Tech - Risk & Compliance AI Engineer - Senior Associate Join to apply for the ERCS Data & Tech - Risk & Compliance AI Engineer - Senior Associate role at PwC Specialty/Competency: Data, Analytics & AI Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 60% Job Description
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. Skills
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. Job Description
The Opportunity: As part of the Data and Analytics Engineering team you will develop, implement, and enhance machine learning models and algorithms for various applications. As a Senior Associate you will analyze complex problems, mentor others, and maintain rigorous standards while building meaningful client connections and navigating increasingly complex situations. This role offers the chance to deepen your technical knowledge and grow your personal brand while collaborating with stakeholders to create innovative solutions. Responsibilities
Mentor junior team members to enhance their skills and knowledge Build and maintain productive relationships with clients Navigate intricate situations to deliver quality results Uphold professional standards and maintain quality in deliverables Continuously enhance technical knowledge and personal brand What You Must Have
Bachelor's Degree 3 years of machine learning and generative AI development experience What Sets You Apart
Doctor of Philosophy in Computer Science, Data Processing/Analytics/Science, Business Administration/Management, Risk Management, Statistics, Mathematical Statistics preferred Developing and optimizing machine learning models and algorithms Designing and building generative AI models for innovative solutions Working with stakeholders to translate business requirements Processing, cleaning, and verifying data integrity Conducting testing and validation of models for accuracy Staying current with advancements in machine learning and AI Mentoring junior team members in data science practices Experience connecting to APIs and systems Demonstrating hands-on experience with OpenAI, CoPilot Studio, Azure AI, Gemini, AgentSpace, Claude, and other GenAI platforms Possessing hands-on experience with LangChain, LangFlow, Agent SDK, AgentForce, AgentSpace, Copilot Studio, LlamaIndex, Autogen, Palantir Foundry, ReAct, etc. Compensation & Benefits
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: https://pwc.to/benefits-at-a-glance 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 those impacted by various Fair Chance Ordinances, PwC considers conviction records thoughtfully to maintain a secure and trusted workplace. Details are governed by applicable laws. The salary range information above may be subject to change. PwC is an equal opportunity employer and does not discriminate on any protected status. For more information, please view our benefits at a glance: https://pwc.to/benefits-at-a-glance Seniority level
Associate Employment type
Full-time Job function
Information Technology Industries: Accounting, Financial Services, and Business Consulting and Services Referrals increase your chances of interviewing at PwC by 2x Get notified about new Data Specialist jobs in Washington, DC.
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ERCS Data & Tech - Risk & Compliance AI Engineer - Senior Associate Join to apply for the ERCS Data & Tech - Risk & Compliance AI Engineer - Senior Associate role at PwC Specialty/Competency: Data, Analytics & AI Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 60% Job Description
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. Skills
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. Job Description
The Opportunity: As part of the Data and Analytics Engineering team you will develop, implement, and enhance machine learning models and algorithms for various applications. As a Senior Associate you will analyze complex problems, mentor others, and maintain rigorous standards while building meaningful client connections and navigating increasingly complex situations. This role offers the chance to deepen your technical knowledge and grow your personal brand while collaborating with stakeholders to create innovative solutions. Responsibilities
Mentor junior team members to enhance their skills and knowledge Build and maintain productive relationships with clients Navigate intricate situations to deliver quality results Uphold professional standards and maintain quality in deliverables Continuously enhance technical knowledge and personal brand What You Must Have
Bachelor's Degree 3 years of machine learning and generative AI development experience What Sets You Apart
Doctor of Philosophy in Computer Science, Data Processing/Analytics/Science, Business Administration/Management, Risk Management, Statistics, Mathematical Statistics preferred Developing and optimizing machine learning models and algorithms Designing and building generative AI models for innovative solutions Working with stakeholders to translate business requirements Processing, cleaning, and verifying data integrity Conducting testing and validation of models for accuracy Staying current with advancements in machine learning and AI Mentoring junior team members in data science practices Experience connecting to APIs and systems Demonstrating hands-on experience with OpenAI, CoPilot Studio, Azure AI, Gemini, AgentSpace, Claude, and other GenAI platforms Possessing hands-on experience with LangChain, LangFlow, Agent SDK, AgentForce, AgentSpace, Copilot Studio, LlamaIndex, Autogen, Palantir Foundry, ReAct, etc. Compensation & Benefits
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: https://pwc.to/benefits-at-a-glance 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 those impacted by various Fair Chance Ordinances, PwC considers conviction records thoughtfully to maintain a secure and trusted workplace. Details are governed by applicable laws. The salary range information above may be subject to change. PwC is an equal opportunity employer and does not discriminate on any protected status. For more information, please view our benefits at a glance: https://pwc.to/benefits-at-a-glance Seniority level
Associate Employment type
Full-time Job function
Information Technology Industries: Accounting, Financial Services, and Business Consulting and Services Referrals increase your chances of interviewing at PwC by 2x Get notified about new Data Specialist jobs in Washington, DC.
#J-18808-Ljbffr