
AI & GenAI Data Scientist - Manager
PwC · Dallas, TX
- On site
- Full-time
- $165,500 / year
- Dallas, TX
Job highlights
- Lead AI/GenAI data science initiatives.
- Develop scalable machine learning solutions.
- Manage complex data analysis and integration.
- Utilize Python, Java for AI model deployment.
- Coach and mentor data science teams.
About the role
AI & GenAI Data Scientist - Manager
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.
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
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- 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
Salary and Benefits
The salary range for this position is: $99,000 - $232,000. 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
Equal Opportunity Employer
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
Fair Chance Ordinance Information
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.
Application Deadlines
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
Key skills/competency
- AI & GenAI Data Scientist
- Data Analysis
- Machine Learning
- Python
- Java
- Data Pipelines
- Deep Learning
- Neural Networks
- Stakeholder Collaboration
- Team Leadership
Skills & topics
- AI
- GenAI
- Data Scientist
- Manager
- Machine Learning
- Python
- Java
- Data Analysis
- Deep Learning
- Neural Networks
- Technology Consulting
- Leadership
How to get hired
- Customize your resume: Highlight AI/GenAI, data science, and leadership experience.
- Tailor your application: Align your skills with PwC's technology consulting needs.
- Prepare for interviews: Showcase technical proficiency in AI/ML and leadership abilities.
- Demonstrate impact: Provide examples of driving business growth with data solutions.
- Research PwC: Understand their values, culture, and commitment to innovation.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for an AI & GenAI Data Scientist - Manager at PwC?
- The AI & GenAI Data Scientist - Manager at PwC is responsible for designing and implementing AI systems, leading teams in developing machine learning models, managing data analysis and integration, utilizing programming languages like Python and Java for AI deployment, overseeing data pipelines, applying deep learning techniques, and mentoring team members.
- What educational background is required for the AI & GenAI Data Scientist - Manager role at PwC?
- A minimum of a Bachelor's degree is required. Preference is given to candidates with degrees in fields such as Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Statistics, or related data and AI disciplines.
- What kind of experience is needed for the AI & GenAI Data Scientist - Manager position at PwC?
- You need at least 6 years of experience in data science or a related field. Specific experience in AI implementation, machine learning libraries, complex data analysis, and data modeling is highly valued.
- Does PwC sponsor H-1B visas for this AI & GenAI Data Scientist - Manager role?
- PwC's policy generally does not intend to hire job seekers who will need H-1B sponsorship, except as outlined in their specific H-1B Lottery Policy. It's best to review the provided policy link for detailed information.
- What technical skills are most important for the AI & GenAI Data Scientist - Manager role at PwC?
- Key technical skills include proficiency in AI implementation and machine learning libraries, complex data analysis and data modeling techniques, deep learning, neural networks, and natural language processing. Experience with programming languages like Python and Java is also crucial.
- What are the travel requirements for the AI & GenAI Data Scientist - Manager position at PwC?
- The role requires up to 80% travel, indicating a significant client-facing component and potential for extensive project work across different locations.
- What is the salary range for the AI & GenAI Data Scientist - Manager role at PwC?
- The salary range for this position is $99,000 to $232,000 annually, with actual compensation determined by skills, experience, qualifications, and location.
- How does PwC approach hiring for candidates with arrest or conviction records for this role?