Jobs in Kuwait

Advisory

Not Applicable

Data, Analytics & AI

Manager

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. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision‑making and automation.

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 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 for everyone.

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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

• 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.
• Ability to learn new scripting language or analytics platform.

• HandsOn 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 distributing data/computing tools/IDEs.
• Experience in advanced Text Analytics (NLP, NLU, NLG).
• Understanding of LLM Ops, ML Ops for scalable ML development.
• Working knowledge on agents like PyTorch, TensorFlow.
• 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.

• AI chatbots
• Data structures
• GenAI object‑oriented programming
• IDE
• API
• LLM Prompts
• PyTorch
• TensorFlow

• AI chatbots
• Data structures
• GenAI object‑oriented programming
• IDE
• API
• LLM Prompts
• PyTorch
• TensorFlow

8-15 Years

• BE, B. Tech, M. Tech

• Generative AI

• Accepting Feedback
• Active Listening
• AI Implementation
• Analytical Thinking
• C++ Programming Language
• Coaching and Feedback
• Communication
• Complex Data Analysis
• Creativity
• Data Analysis
• Data Infrastructure
• Data Integration
• Data Modeling
• Data Pipeline
• Data Quality
• Deep Learning
• Embracing Change
• Emotional Regulation
• Empathy
• GPU Programming
• Inclusion
• Intellectual Curiosity
• Java (Programming Language)
• Learning Agility

No languages specified

No travel requirements specified

No visa sponsorship required

No government clearance required