Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities
This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other Learn more about us
& Summary Data Scientist
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) Handon 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 errorfree development environment Design, deploy and manage promptbased 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 nontechnical stakeholders
Mandatory skill sets
Python, GenAI ,Machine learning, data science
Preferred skill sets
Data analysis, SQL, MLOPS
Years of experience
required 5+
Education qualification
BE/B
Tech/MBA/MCA
Education
Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration
Degrees/Field of Study preferred
Required Skills
Generative AI
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
No
Date