Job description

The Opportunity As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics Engineering practice, focusing on transforming raw data into actionable insights that drive business growth. You will leverage advanced analytics and statistical techniques to extract insights from large datasets, enabling informed decision-making and solving complex business problems. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring your team to deliver quality results. You will be responsible for coaching and managing performance to meet client expectations, while embracing technology and innovation to improve delivery. In this role at PwC, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will analyze and identify the interactions within complex systems, partnering with team leadership to maintain quality and timelines. Your growing business knowledge will help identify opportunities that contribute to the firm's success. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully. This position offers a chance to develop skills outside your comfort zone and encourage others to do the same, fostering a culture of continuous improvement and innovation. Responsibilities - Leading data science initiatives to transform raw data into actionable insights for informed decision-making - Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems - Developing and implementing data models and algorithms to enhance predictive capabilities - Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing - Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies - Collaborating with stakeholders to identify opportunities for leveraging data to drive business growth - Coaching team members to enhance their skills in data science workflows and troubleshooting - Validating data quality and integrity within analytics frameworks to support reliable insights - Encouraging the adoption of innovative technologies and methodologies in data science projects - Managing project timelines and deliverables to align with client expectations and business objectives What You Must Have - At least a Bachelor's degree - At least 4 years of experience What Sets You Apart - Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance - Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions - Utilizing Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders - Demonstrating proficiency in data science algorithms and workflows - Utilizing machine learning and deep learning techniques effectively - Excelling in complex data analysis and predictive modeling - Managing data pipelines and confirming data quality - Leveraging programming languages for data engineering tasks - Embracing change and fostering innovation in data science projects The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. 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: pwc.to 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: pwc.to. Learn more about how we work: pwc.to 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.

Requirements

Must-haves

Leading data science initiatives to transform raw data into actionable insights for informed decision-making
Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
Developing and implementing data models and algorithms to enhance predictive capabilities
Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies
Collaborating with stakeholders to identify opportunities for leveraging data to drive business growth
Coaching team members to enhance their skills in data science workflows and troubleshooting
Validating data quality and integrity within analytics frameworks to support reliable insights
Encouraging the adoption of innovative technologies and methodologies in data science projects
Managing project timelines and deliverables to align with client expectations and business objectives
What You Must Have
At least a Bachelor's degree
At least 4 years of experience
What Sets You Apart
Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
Utilizing Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
Demonstrating proficiency in data science algorithms and workflows
Utilizing machine learning and deep learning techniques effectively
Excelling in complex data analysis and predictive modeling
Managing data pipelines and confirming data quality
Leveraging programming languages for data engineering tasks
Embracing change and fostering innovation in data science projects

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpython

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k