Data Scientist, Risk Detection – Manager

Jobtailor; Illinois; On-site; USD 140,000 - 190,000; Full time

Job summary

PwC in the United States seeks a senior data analytics leader to drive data-driven initiatives, oversee analytics solutions, and mentor teams. This role focuses on optimizing business performance and competitive advantage through Python-based data science and BI architectures.

Travel up to 60% is required; sponsorship restrictions apply. A Bachelor's degree and 5+ years of analytics experience are preferred, with strong data visualization and stakeholder collaboration capabilities.

Qualifications

• Bachelor's degree required.
• 5+ years of experience in analytics or data science.
• Strong data interpretation for strategic insights.
• Proficient in Python for advanced analytics.
• Experience with data visualization techniques.
• Knowledge of data management and pipelines.

Responsibilities

• Lead data-driven initiatives to optimize business performance.
• Develop and implement innovative analytics solutions.
• Manage client service accounts and drive engagement workstreams.
• Analyze and interpret large data sets using Python.
• Build and maintain data pipelines and architectures for BI.
• Guide teams in strategic planning and execution, mentoring staff.
• Collaborate with stakeholders and escalate conflicts when needed.
• Uphold professional standards and independence requirements.
• Promote continuous process improvement and drive change to delivery.
• Take ownership of project planning, budgeting, execution, and completion.
• Mentor team members to deliver quality work.

Skills

Data analysis

Python

Data visualization

Leadership

Stakeholder collaboration

Education

Bachelor's degree

Job description

• Lead data-driven initiatives to optimize business performance and enhance competitive advantage
• Develop and implement innovative solutions using advanced analytics techniques
• Manage client service accounts and drive engagement workstreams by supervising teams and solving complex problems
• Analyze and interpret large data sets using Python and data science methodologies
• Build and maintain data pipelines and architectures supporting business intelligence
• Guide teams in strategic planning and execution while mentoring junior staff
• Collaborate with stakeholders to address conflicts and engage in critical conversations, escalating when necessary
• Uphold professional and technical standards, the firm's code of conduct, and independence requirements
• Promote continuous process improvement and embrace change to enhance delivery and encourage innovation
• Take ownership of project planning, budgeting, execution, and completion
• Motivate, develop, and inspire team members to deliver quality work

Requirements

• At least a Bachelor's degree
• At least 5 years of experience
• Preference for study in Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, or Science
• Data analysis and interpretation for strategic insights
• Python for advanced data science applications
• Data visualization techniques
• Continuous process improvement in data management
• Stakeholder collaboration
• Leadership in coaching and mentoring team members
• Up to 60% travel
• Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth in PwC policy

Core Competencies

Demonstrates expertise in data analysis and interpretation using Python, advanced analytics techniques, and data visualization to drive strategic insights and optimize business performance. Proven leadership in managing client service accounts, mentoring teams, and fostering stakeholder collaboration while promoting continuous process improvement.

Highest-signal resume keywords

• Data Analysis and Interpretation
• Python for Data Science
• Data Visualization Techniques
• Leadership and Mentoring
• Stakeholder Collaboration

Hard Skills

• Data Analysis
• Advanced Analytics Techniques
• Data Visualization
• Data Pipeline Development
• Data Architecture
• Project Planning
• Budgeting
• Execution
• Continuous Process Improvement
• Strategic Planning

Soft Skills

• Team Motivation
• Problem Solving
• Conflict Resolution
• Communication
• Coaching

Industry Keywords

• Business Intelligence
• Client Service Management
• Competitive Advantage
• Professional Standards
• Independence Requirements