FSRR - Technology & Analytics- Data Scientist- Senior Associate

Sorry, this job was removed at 02:44 p.m. (CST) on Thursday, Apr 03, 2025
New York, NY
Hybrid
84K-202K Annually
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Grow here. Go further.
The Role

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 Data and Analytics Engineering team, you design, implement, and refine AI- and data-driven solutions to address complex business challenges in the Financial Services Risk and Regulatory domain. As a Senior Associate, you analyze complex problems, mentor others, and maintain standards while building client relationships and developing a deeper understanding of the business context. You work closely with cross-functional teams, leveraging your knowledge in machine learning, generative AI, and cloud platforms to deliver quality work and grow your personal brand and technical skills.
Responsibilities
- Design and implement AI-driven solutions for complex business challenges
- Refine data-driven strategies in the Financial Services Risk and Regulatory domain
- Collaborate with cross-functional teams to leverage machine learning proficiency
- Utilize cloud platforms like AWS, Azure, or Google Cloud for solution development
- Mentor team members to uphold exemplary standards and technical excellence
- Build and maintain enduring client relationships
- Develop a thorough understanding of business contexts
- Enhance personal brand and technical skills through continuous learning
What You Must Have
- Bachelor's Degree
- 3 years of experience
What Sets You Apart
- Master's Degree in Computer Science, Data Processing/Analytics/Science, Statistics preferred
- Proficiency in Python and ML libraries
- In-depth understanding of data structures and algorithms
- Familiarity with regulatory compliance in financial services
- Microsoft Copilot certification preferred
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.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
The salary range for this position is: $84,000 - $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 and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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370,000 Employees
Year Founded: 1998

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PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes.

As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions.

You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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