AI & GenAI Data Scientist - Manager at PwC | AL, US | Rezi

AI & GenAI Data Scientist - Manager at PwC

AI & GenAI Data Scientist - Manager

PwC · AL, US

4 days ago

AI & GenAI Data Scientist - Manager

PwC · AL, US

4 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As an AI & GenAI Data Scientist - Manager at PwC, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will leverage advanced technologies to design and develop robust data solutions for clients, enhance leadership skills by motivating and developing others, and coach team members to meet client expectations. You are expected to lead with integrity and authenticity, articulating PwC's purpose and values. In this role, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning-based solutions at scale, design AI systems, perform data wrangling, and implement software. You will also identify opportunities to enhance delivery through technology and innovation.

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

Requirements

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

Skills

  • AI implementation
  • Machine learning libraries
  • Complex data analysis
  • Data modeling techniques
  • Coaching
  • Mentoring team members
  • Embracing change and innovation in technology consulting
  • Neural networks
  • Natural language processing

Location

  • Remote

Work Type

  • Full-time
  • Contract

Experience Level

  • Manager
  • 6 years of experience

Education Level

  • Bachelor's degree

Salary/Compensations

  • $99,000 - $232,000

Benefits

  • Medical
  • Dental
  • Vision
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave

About the Company

  • PwC is an equal opportunity employer.
  • Learn more about how we work: https://pwc.to/how-we-work

Equal Opportunity

  • 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.
  • 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.