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Not ApplicableSpecialism
Data Analytics & AIManagement Level
SpecialistJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.*Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven 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 foreach other. Learn more about us.
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: A career within.
Responsibilities:
Designing and building analytical /DL/ ML algorithms using Python R and other statistical tools.
Strong data representation and lucid presentation (of analysis/modelling output) using Python R Markdown Power Point Excel etc.
Ability to learn new scripting language or analytics platform. Technical Skills required (must have)
Hands On Exposure to Generative AI (Design development of GenAI application in production)
Strong understanding of RAG Vector Database Lang Chain and multimodal AI applications.
Strong understanding of deploying and optimizing AI application in production.
Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis Decision trees Bagging Boosting Time Series and Non-parametric analysis.
Strong knowledge of DL & Neural Network Architectures (CNN RNN LSTM Transformers etc.)
Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs.
Experience in advanced Text Analytics (NLP NLU NLG).
Strong hands-on experience of end-to-end statistical model development and implementation
Understanding of LLMOps ML Ops for scalable ML development.
Basic understanding of DevOps and deployment of models into production (PyTorch TensorFlow etc.).
Expert level proficiency algorithm building languages like SQL R and Python and data visualization tools like Shiny Qlik Power BI etc.
Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI Auto ML Azure Index Azure Functions OCR OpenAI storage scaling etc. Technical Skills required (Any one or more)
Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis
Exposure to data analytics platforms like Domino Data Lab H2O Alteryx or KNIME
Expertise in Cloud analytics platforms (Azure AWS or Google)
Experience in Process Mining with expertise in Celonis or other tools
Proven capability in using Generative AI services like OpenAI Google (Gemini) Understanding of Agentic AI Framework (Lang Graph Auto gen etc.)
Understanding of fine-tuning for pre-trained models like GPT LLaMA Claude etc. using LoRA QLoRA and PEFT technique.
Proven capability in building customized models from open-source distributions like Llama Stable Diffusion
Mandatory skill sets:
AI chatbots Data structures GenAI object-oriented programming IDE API LLM Prompts Streamlit
Preferred skill sets:
AI chatbots Data structures GenAI object-oriented programming IDE API LLM Prompts Streamlit
Years of experience required:
3-6 Years
Education qualification:
BE B. Tech M. Tech M. Stat Ph.D. . (Stats / Maths)
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology Master of Engineering Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
AI ProgrammingOptional Skills
Accepting Feedback Accepting Feedback Active Listening AI Implementation C Programming Language Communication Complex Data Analysis Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Emotional Regulation Empathy GPU Programming Inclusion Intellectual Curiosity Java (Programming Language) Machine Learning Machine Learning Libraries Named Entity Recognition Natural Language Processing (NLP) Natural Language Toolkit (NLTK) 20 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Full-Time