Summary

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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.

- Solid 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.

Role: Data Science & Analytics - Other,

Industry Type: Accounting / Auditing,

Department: Data Science & Analytics,

Employment Type: Full Time, Permanent

Role Category: Data Science & Analytics - Other

Education

UG: Any Graduate

PG: Any Postgraduate

Key Skills advanced analyticsaialgorithmsanalyticsarchitectureawsaws servicesbirtbusiness databusiness intelligencecloudcloud platformsdata analysisdata architecturedata collectiondata engineeringdata miningdata pipelines

📌 Associate_Data Science & Engineering_Data & Analytics_Advisory (Kolkata)
🏢 PwC Acceleration Center India
📍 Kolkata