AIT - AI Data Scientist Senior Associate

Posted 2 Hours Ago
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3 Locations
Hybrid
72K-212K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Perform exploratory and descriptive analysis, statistical modeling, predictive modeling and machine learning to generate insights. Build data visualizations and data pipelines, ensure data quality, collaborate with stakeholders, and translate results into client recommendations while upholding professional standards and developing leadership skills.
Summary Generated by Built In
The Opportunity
As an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, driving data-driven decision-making and business growth. Within our Data Science practice, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn't clear.
In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will develop a deeper understanding of the business context and how it is evolving, using reflection to enhance strengths and address development areas.
Responsibilities
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Conducting exploratory and descriptive analysis to inform strategic decision-making
- Creating data visualizations to solve complex business problems
- Utilizing data science algorithms and machine learning techniques to drive data-driven decision making
- Developing and managing data pipelines to support data quality and integrity
- Applying predictive modeling to anticipate client needs and inform recommendations
- Collaborating with teams to enhance data science workflows and troubleshoot issues
- Building meaningful client connections and managing stakeholder expectations
- Navigating complex situations to deliver quality work and grow personal skills
- Upholding professional and technical standards in all client engagements
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields 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
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing advanced machine learning techniques for predictive modeling
- Excelling in complex data analysis and data-driven decision making
- Developing innovative solutions using deep learning and neural networks
- Managing data pipelines and confirming data quality
- Interpreting data to provide actionable insights and recommendations
The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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
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.
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.
Learn more about how we work: https://pwc.to/how-we-work
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.

Skills Required

  • Bachelor's degree
  • At least 2 years of experience
  • Preference for fields of study such as AI and Robotics, Business Analytics, Computer Science, Computer Engineering, Data Science, Machine Learning, Mathematics, Statistics, or related
  • Proficiency in data science algorithms and workflows
  • Experience utilizing advanced machine learning techniques for predictive modeling
  • Experience developing solutions using deep learning and neural networks
  • Experience building and managing data pipelines and ensuring data quality
  • Ability to create data visualizations and translate insights into recommendations

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Leave & Time Off Breadth Two firmwide week‑long shutdowns each year in the US and a broad menu of paid and unpaid leaves add structured downtime beyond standard vacation. Flexible work options provide additional avenues to step away when client needs permit.
  • Parental & Family Support Paid parental leave is 12 weeks for all parents, with a four‑week phased return at 60% time on full base pay. Family‑forming and caregiving supports span infertility coverage, cryopreservation, adoption/surrogacy reimbursements, and nursing‑parent resources.
  • Wellbeing & Lifestyle Benefits Mental‑health and wellness resources include EAP, coaching, Headspace/Calm, Talkspace, and fitness programs. These offerings underscore a sustained emphasis on well‑being alongside core health coverage.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters 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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