8 - 13 years
Posted:1 day ago
Responsibilities
- Leading data science workstreams that turn raw information into actionable business insights for client engagements
- Managing project scope, timelines, and deliverables while coordinating resources and reviewing progress against client objectives- Guiding teams in exploratory analysis, statistical modeling, and descriptive analytics using SQL and core domain data skills- Applying machine learning, predictive modeling, and data mining techniques to solve complex business problems- Developing data pipelines, data models, and data quality checks that support reliable analytics and reporting- Translating business questions into analytical approaches, measurable outputs, and practical recommendations- Reviewing technical work, coaching team members, and tailoring feedback to strengthen delivery and grow analytical skills- Using AI tools, data engineering concepts, and visualization methods to improve analysis workflows and presentation of findings
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating SQL analysis across large, complex data sets- Leading data science workstreams and mentoring junior team members- Translating business needs into analytical findings and actions- Applying machine learning, statistical modeling, and predictive methods- Navigating client discussions and resolving delivery issues professionally
Free courses, interview questions and practice for each skill.
Hybrid
Full Time
PwC
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