Associate_Data Science & Engineering_Data & Analytics_Advisory
Posted Updated
Description
Job Description Summary
Responsibilities
Technical Skills Required
Mandatory Skill Sets
Preferred Skill Sets
Experience
Education
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Responsibilities
- 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.
Technical Skills Required
- 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
Experience
- Fresher / 0 to 2 Years
Education
- BE, B. Tech, M. Tech
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.