## Job highlights
- 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
- Proficient in programming languages like R,Python,and database query languages like SQL,Hive,Pig is desirable
- Preferred skill sets
- Required Skills Line of Service Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics AI Management Level Manager

Job Description
Summary . 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 team-oriented 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 Education BE/B.
Tech/MBA/MCA; Degrees/Field of Study required: Master of Business Administration Required Skills
- JSON Optional Skills
- Accepting Feedback
- Active Listening
- AI Fluency
- AI-Human Collaboration
- Algorithm Development
- Analytical Thinking
- Big Data
- Data Analysis
- Data Integration
- Data Integrity
- Data Visualization
- Data Quality
- Data Science
- Dashboard Creation
- SQL
- ETL
- Cloud Platforms
- Hadoop
- Jupyter
- Machine Learning
- NLP
- Python Travel Requirements Not Specified 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.

📌 IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru