IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore
Posted Updated
Summary
Manager-level Data Scientist in PwC's Advisory/GCC in Bengaluru: builds statistical, ML and GenAI/LLM solutions for client business problems — Python/R/SQL modelling, deep learning, cloud ML deployment (Azure/AWS/GCP), MLOps, and prompt engineering on LLMs.
Line of Service
Job Description Summary
Responsibilities
Mandatory skill sets
Preferred skill sets
Years of experience required
Education
Required Skills
Optional Skills
Travel Requirements
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.
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 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
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.
Skills
- Agentic AI
- AI
- Analytics
- API
- AWS
- Azure
- Big Data
- CI/CD
- Cloud
- C++
- Data Pipelines
- Data Quality
- Data Science
- Data Visualization
- Deep Learning
- Distributed Computing
- Elasticsearch
- ETL
- GCP
- Generative AI
- Hadoop
- HBase
- Hive
- Java
- JSON
- Jupyter
- Keras
- LLM
- Machine Learning
- MLOps
- Neural Networks
- NLP
- Prompt Engineering
- Python
- PyTorch
- REST
- Scala
- SQL
- TensorFlow
- Time Series
- Version Control