Senior Associate - Data Science

Job Description

Role Overview:As a Senior Associate in the Advisory department at PwC, you will be part of a team that focuses on leveraging data to drive insights and help clients optimize their operations. Your main responsibility will be to utilize advanced analytics techniques to extract valuable insights from large datasets and support clients in making data-driven decisions. You will play a crucial role in solving complex business problems by applying your skills in data manipulation, visualization, and statistical modeling.Key Responsibilities:- Proficient in programming languages like R, Python, and database query languages such as SQL, Hive, and Pig. Familiarity with Scala, Java, or C is an added advantage.- Strong expertise in Statistical modeling and Machine techniques including time series forecasting, Reliability models, Markov Models, Bayesian Modeling, Classification Models, Cluster Analysis, Neural Network, etc.- Good exposure to deep learning and associated frameworks like PyTorch, TensorFlow, and Keras.- Ability to preprocess structured and unstructured data by processing, cleansing, and validating its integrity for analysis.- Experience with cloud platforms for building, training, and deploying ML Models on Azure/AWS/GCP.- Proficient in distributed computing environments and big data platforms like Hadoop, Elasticsearch, as well as common database systems and value stores.- Hands-on experience in MLOps including Dockerization, REST APIs, and CI/CD/CT processes.- Utilize version control for maintaining codebase integrity and collaboration in a development environment.- Design, deploy, and manage prompt-based models for various NLP tasks.- Build and maintain data pipelines and processing workflows for prompt engineering utilizing cloud services for scalability.- Familiarity with LLM orchestration and agentic AI libraries.- Good understanding of business and the ability to translate domain problems into data science problems.- Effective communication with both technical and non-technical stakeholders.Qualifications Required:- B.Tech/MCA/BCA/M.tech degree.- Bachelor of Engineering or Master of Engineering.Additional Details:At PwC, you will be part of a purpose-led and values-driven community that encourages innovation and fosters a collaborative environment. We believe in providing equal employment opportunities and have zero tolerance for discrimination based on various factors. Our inclusive benefits, flexibility programs, and mentorship opportunities will support your personal growth and well-being, enabling you to thrive in both work and life. Role Overview:As a Senior Associate in the Advisory department at PwC, you will be part of a team that focuses on leveraging data to drive insights and help clients optimize their operations. Your main responsibility will be to utilize advanced analytics techniques to extract valuable insights from large datasets and support clients in making data-driven decisions. You will play a crucial role in solving complex business problems by applying your skills in data manipulation, visualization, and statistical modeling.Key Responsibilities:- Proficient in programming languages like R, Python, and database query languages such as SQL, Hive, and Pig. Familiarity with Scala, Java, or C is an added advantage.- Strong expertise in Statistical modeling and Machine techniques including time series forecasting, Reliability models, Markov Models, Bayesian Modeling, Classification Models, Cluster Analysis, Neural Network, etc.- Good exposure to deep learning and associated frameworks like PyTorch, TensorFlow, and Keras.- Ability to preprocess structured and unstructured data by processing, cleansing, and validating its integrity for analysis.- Experience with cloud platforms for building, training, and deploying ML Models on Azure/AWS/GCP.- Proficient in distributed computing environments and big data platforms like Hadoop, Elasticsearch, as well as common database systems and value stores.- Hands-on experience in MLOps including Dockerization, REST APIs, and CI/CD/CT processes.- Utilize version control for maintaining codebase integrity and collaboration in a development environment.- Design, deploy, and manage prompt-based models for various NLP tasks.- Build and maintain data pipelines and processing workflows for prompt engineering utilizing cloud services for scalability.- Familiarity with LLM orchestration and agentic AI libraries.- Good understanding of business and the ability to translate domain problems into data science problems.- Effective communication with both technical and non-technical stakeholders.Qualifications Required:- B.Tech/MCA/BCA/M.tech degree.- Bachelor of Engineering or Master of Engineering.Additional Details:At PwC, you will be part of a purpose-led and values-driven community that encourages innovation and fosters a collaborative environment. We believe in providing equal employment opportunities an

Keyskills :
PythonSQLData Science