Senior AI Data Scientist — Insightful ML & Analytics

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

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.