About the role
PwC is hiring for the role of Data Science & Engineering Associate!
Responsibilities of the Candidate:
- Designing and building analytical, deep learning (DL), and machine learning (ML) algorithms using Python, R, and other statistical and data engineering tools. - Developing scalable data pipelines and cloud-based solutions leveraging AWS services to support advanced analytics and AI/ML workflows.
Requirements
- Hands-on experience with Generative AI, including designing, developing, and deploying GenAI applications in production environments using Python and cloud platforms like AWS. - Strong knowledge of statistical and data mining techniques such as Linear & Logistic Regression, Decision Trees, Bagging, Boosting, Time Series analysis, and Non-parametric methods. - Proficiency in Python, SQL, and R, combined with experience in distributed data processing frameworks and cloud-based data engineering tools. - Proven expertise with Generative AI platforms and services, including OpenAI and Google Gemini, integrated within data engineering pipelines. - Mandatory skill sets: Python, AWS, Data Engineering - Preferred skill sets: Python, AWS, Data Engineering - Years of experience required: Fresher / 0 to 2 Years - Education qualification: BE, B. Tech, M. Tech