Job Description

& Summary

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

Join PwC's Data & AI teamand help design and deliver the AI and machine learning solutionsthat drive real business impact. We're growing quickly due to a strong pipeline of client work, and we're hiring across multiple seniority levels — from junior to senior Data Scientists

Pythonis the core skill we expect. Depending on your strengths, you may focus on machine learning, statistical modelling, NLP, computer vision, or GenAI Many roles also include "full-solver" flexibility — contributing where needed, including experimentation, prototyping, deploying models, or working end-to-end on AI use casesusing modern platforms (including Microsoft technologieswhere relevant).

What You'll Do:

• Build AI That Solves Real Problems:Design, develop, train, and evaluate machine learningand statistical modelsacross a wide range of business challenges.
• Turn Messy Data Into Insights:Explore, analyse, and visualize complex datasets to uncover patterns that matter. Perform feature engineering, data preprocessing, and selection to maximize model performance.
• Push the Boundaries With GenAI & NLP:Design and implement solutions leveraging Large Language Models, Retrieval-Augmented Generation (RAG), and NLPtechniques.
• Experiment Rigorously, Deploy Confidently:Collaborate with data engineersand platform teams to move models from notebook to production, monitor performance over time, and support continuous retraining and improvement
• Work Directly With Clients:Collaborate with clients across Western Europeand the USAto understand their business challenges, frame problems as data science opportunities, and communicate findings clearly.
• Stay Ahead of the Curve:Keep up with the latest in AI/ML research, emerging techniques, and new tools.

Who We're Looking For:

• Programming Skills (Key Requirement):Strong programming skills in Python(e.g. scikit-learn, TensorFlow, PyTorch, pandas, NumPy, Hugging Face, LangChain). The ability to write clean, maintainable, and reproducible codeis essential.
• Machine Learning:Demonstrated hands-on experience building, training, and evaluating ML models Strong understanding of supervised and unsupervised learning techniques, model selection, hyperparameter tuning, and cross-validation
• Statistics & Mathematics:Understanding of core statistical concepts, probability, and linear algebra.
• NLP & GenAI (Highly Valued):Experience with natural language processing, text analytics, large language models, prompt engineering, RAG architectures, or other GenAItechniques.
• Computer Vision (Nice to Have):Experience with image processing, object detection, visual reasoning, or satellite imagery analysis is an advantage.
• Data Handling:Proficiency in SQLand experience with data wrangling, cleaning, and transformation.
• Cloud & MLOps (Nice to Have):Experience with cloud platforms(preferably Azure Databricks, Azure ML, Synapse) or similar services on AWS/GCPis an advantage.
• Professional Background:At least 2–3 yearsof professional experience in data science, machine learning, applied research, or similar analytical roles
• Language Skills:English at B2 levelor higher.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html