AI & GenAI Data Scientist Manager

PWC

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NYRaleigh, NCCharlotte, NCChicago, ILCincinnati, OH
Salary: $99,000–$232,000 / yr
Posted: 17 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k

This role $166k

$81k most similar roles pay here $264k

This role pays less than 68% of similar roles. Most pay $155,133–$246,150 — the shaded band above. At the midpoint, this role pays about $166k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 105 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 103 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · AI & GenAI Data Scientist Manager

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As an AI & GenAI Data Scientist - Manager within the Technology Consulting practice, you will lead teams to transform raw data into actionable insights and scalable business solutions. You will be responsible for designing and implementing AI systems, managing complex data analysis, and overseeing the creation of data pipelines and infrastructure. Your daily work involves building machine learning models, performing data wrangling, and ensuring data quality within AI frameworks. To succeed in this role, you must utilize programming languages like Python and Java while applying deep learning techniques, neural networks, and natural language processing. The role requires proficiency in machine learning libraries and experience with platforms such as AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake to solve complex data challenges and optimize AI applications for diverse client needs.

Skills

Artificial Intelligence Machine Learning Python Java Deep Learning Neural Networks Natural Language Processing Data Engineering Databricks Snowflake AWS Cloud Platform Microsoft Azure Data Pipelines Data Modeling

What you'll do

Design and implement AI systems to transform raw data into actionable business insights.
Lead teams in developing scalable machine learning models and software solutions.
Manage complex data analysis and integration to support AI-driven initiatives.
Develop and maintain robust data pipelines and infrastructure for model deployment.
Apply deep learning techniques and neural networks to improve predictive analytics.
Use programming languages like Python and Java to enhance AI model scalability.
Mentor team members in AI implementation, data engineering, and technical skill development.
Validate data quality and compliance within established AI frameworks.

What we're looking for

At least a Bachelor's degree.
At least 6 years of experience.
Proficiency in AI implementation and machine learning libraries.
Ability to utilize programming languages such as Python and Java for model deployment.
Experience with complex data analysis, modeling, and the creation of data pipelines.
Degree in fields like MIS, Computer Science, Engineering, Mathematics, or related fields (preferred).
Certifications in data engineering, machine learning, or cloud platforms like AWS, Azure, or Google Cloud (preferred).
Skills in neural networks and natural language processing (preferred).

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