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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** PwC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Computer Programming, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Object Detection, Tensorflow, Azure Machine Learning, SQL Databases, Data Processing, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Pandas, Scikit Learn, HuggingFace, Performance Monitor, Machine Learning Operations, Text Analysis, Azure Synapse Analytics, Unsupervised Learning, Databricks - **Published:** June 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/pwc-ukraine-data-scientist-oxa7679l5y ## About the Role * 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 code is 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 GenAI techniques. * Computer Vision (Nice to Have): Experience with image processing, object detection, visual reasoning, or satellite imagery analysis is an advantage. * Data Handling: Proficiency in SQL and 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/GCP is an advantage. * Professional Background: At least 2-3 years of professional experience in data science, machine learning, applied research, or similar analytical roles. * Language Skills: English at B2 level or higher. ## Description * Build AI That Solves Real Problems: Design, develop, train, and evaluate machine learning and statistical models across 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 NLP techniques. * Experiment Rigorously, Deploy Confidently: Collaborate with data engineers and 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 Europe and the USA to 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. ## Related Videos - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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