Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessPwC brand, mid-level data scientist title, metro locations, and broad ML/PySpark requirements increase competition.
Machine learning and PySpark skills transfer across industries but client-facing consulting context raises domain specificity.
Explicit 4+ years requirement and mandatory ML/PySpark experience creates moderately strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Extract insights from large datasets using advanced analytics and statistical techniques to drive business growth.
Design, develop, and manage data science workflows including exploratory analysis, statistical modeling, machine learning, and data visualization to solve complex business problems.
Collaborate with clients to understand their data needs and deliver tailored, actionable insights enhancing decision-making and strategic outcomes.
Minimum Requirements
Bachelor's degree (field not explicitly restricted).
Minimum 4 years of professional data science or related experience.
Proficiency in oral and written English.
Work Experience Required: At least 4+ years. Other specific technical skills or tools not strictly mandatory but preferred (e.g. PySpark, machine learning techniques).
Ideal Candidate Profile
Educational background in Artificial Intelligence, Robotics, Business Analytics, Computer Science, Engineering, Machine Learning, Mathematics, Statistics, or related fields.
Experienced in applying data science algorithms and machine learning models to client solutions and business challenges.
Comfortable managing complex data science workflows and troubleshooting algorithms in large-scale data environments, with a client-oriented approach to building data-driven connections.