AI & GenAI Data Scientist - Manager

PwC•Cincinnati, OH

3d•$99,000 - $232,000•Hybrid

About The Position

As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.

Requirements

At least a Bachelor's degree
At least 6 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Demonstrating proficiency in AI implementation and machine learning libraries
Utilizing complex data analysis and data modeling techniques
Excelling in coaching and mentoring team members
Embracing change and innovation in technology consulting
Developing skills in neural networks and natural language processing

Responsibilities

Designing and implementing AI systems to transform raw data into actionable insights
Leading teams in the development of scalable machine learning models and solutions
Managing complex data analysis and integration to support AI-driven initiatives
Utilizing programming languages such as Python and Java to enhance AI model deployment
Overseeing the creation and maintenance of data pipelines and infrastructure
Applying deep learning techniques and neural networks to improve predictive analytics
Collaborating with stakeholders to address data challenges and optimize AI applications
Mentoring team members to develop skills in AI implementation and data engineering
Validating data quality and compliance within AI frameworks
Encouraging innovation and embracing change to drive business growth through AI solutions