IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Responsibilities: 

• Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. 

• Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc. 

• Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). 

• Ability to perform preprocessing of structured and unstructured data: Processing, cleansing, and validating the integrity of data to be used for analysis. 

• Strong working experience with cloud platforms: build, train, and deploy ML Models on Azure/AWS/GCP. 

• Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.). 

• Hand-on experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes). 

• Adaptation of foundation models/LLMs to address specific business challenges. 

• Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment. 

• Design, deploy and manage prompt-based models on LLMs for various NLP tasks. 

• Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. 

• Familiarity with LLM orchestration and agentic AI libraries. 

• Good understanding of business and ability to translate domain problems to data science problem. 

• Ability to communicate effectively with both technical and non-technical stakeholders. 

Mandatory skill sets: 

• Python, GenAI ,Machine learning, data science 

Preferred skill sets: 

• Data analysis, SQL, MLOPS 

Years of experience required: 

1-9 years 

Education qualification: 

BE/B.Tech/MBA/MCA 

Education (if blank, degree and/or field of study not specified)

Master of Business Administration

Certifications (if blank, certifications not specified)

Required Skills

JavaScript Object Notation (JSON)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

November 12, 2026