AIT - AI Data Scientist Senior Associate

PwC; New York (NY); On-site; USD 72,000 - 184,000; Full time

Benefits offered by this job

Medical benefits

401k plan

Paid time off

Sick leave

Bonus potential

Job summary

PwC is seeking an AI Data Scientist Senior Associate in the United States to leverage advanced analytics and statistical techniques, turning raw data into actionable insights for decision making and business growth. You will design data solutions, conduct exploratory analyses, and use ML to solve complex problems while communicating results to stakeholders.

You will mentor junior team members, collaborate with Assurance teams, and contribute to building scalable data pipelines and robust models.

Qualifications

• Bachelor's degree required.
• Minimum 2 years of analytics or data science experience.
• Experience with AI/ML methods and data visualization.

Responsibilities

• Leverage analytics and statistical techniques to extract insights from large datasets.
• Design robust data solutions to transform raw data into actionable insights.
• Conduct exploratory and descriptive analyses to inform strategic decisions.
• Apply machine learning and predictive modeling to solve business problems.
• Create data visualizations to communicate insights and drive data-driven decisions.
• Collaborate with clients to understand data needs and deliver tailored solutions.
• Manage data pipelines and ensure data quality and integrity throughout analysis.
• Apply data science workflows and troubleshooting techniques to optimize performance.
• Engage in continuous learning to deepen technical skills and adapt to emerging technologies.
• Mentor junior team members and foster a collaborative environment.

Skills

Python

Statistics

Machine learning

Data visualization

Client communication

Education

Bachelor's degree

Tools

Python libraries

Pandas

scikit-learn

SQL

Job description

The Opportunity

As an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on building meaningful client connections, navigating complex situations, and growing your personal brand. You will be expected to anticipate the needs of your teams and clients, delivering quality solutions while embracing ambiguity and using these moments as opportunities to grow.

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
• Utilizing machine learning algorithms and predictive modeling to solve complex business problems
• Creating data visualizations to effectively communicate insights and drive data-driven decisions
• Collaborating with clients to understand their data needs and deliver tailored solutions
• Managing data pipelines and confirming data quality and integrity throughout the analysis process
• Applying data science workflows and troubleshooting techniques to optimize performance
• Engaging in continuous learning to deepen technical skills and adapt to emerging technologies
• Mentoring junior team members and fostering a collaborative team environment

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: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
• Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
• Utilizes Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
• Demonstrating proficiency in data science algorithms and workflows
• Utilizing machine learning and deep learning techniques effectively
• Excelling in complex data analysis and predictive modeling
• Leveraging experience with data engineering and data pipelines
• Applying knowledge of natural language processing and neural networks
• Navigating ambiguity while building meaningful client relationships

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 anequal 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.