51 to 75 of 277 Pandas Jobs

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

risk analytics.Essential Experience/Skills:7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms. TechnicalStrong Python (pandas, numpy, data engineering best practices).Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).ETL/ELT pipeline developmentDomain KnowledgeMarket data concepts ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

training of AI/ML solutionsSkills required: • Overall 8+ years of experience.• 5+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)• 3 Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles• Strong experience in using Neo4J, Mongo DB• Experience ...

without:Client stakeholder engagementApplied data science expertiseMachine learning and AI deliveryGenerative AI/LLM experienceStrong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn)Deep learning and NLP stacks (PyTorch, HuggingFace Transformers)MLOps and model operationalisationResponsible AI awarenessAdditional Requirements:Security clearance (SC/BPSS)Pre‐sales contribution experienceFamiliarity ...

quality, governance, and accessibility across platformsTranslating complex technical outputs into clear insights for non-technical audiencesWho we’re looking for:Strong Python experience including Pandas, NumPy or similar data analysis librariesAdvanced SQL skills with experience working across relational databasesExperience building data pipelines, working with cloud platforms, and integrating APIsSolid understanding ...

Language Processing (NLP), or related field.- Experience with Large Language Models, NLP, or Machine Learning.- Experience with Python libraries for data analysis such as pandas and scikit-learn.- Familiarity with AI coding assistants.Preferred qualification - PhD in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related technical field.- Experience with ...

Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code• Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development• Frontend Development – Experience with ReactJS, Node.js, TypeScript/JavaScript, and modern web development practices ...

strength in an area such as predictive modelling, classification, regression, optimisation or recommendation systemsStrong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learnA solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniquesExperience with Spark, agile delivery methods ...

with structured, semi-structured, or unstructured data, especially large-scale text or content datasets.Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking ...

large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering,fine‐tuning/customization,and embedding‐based retrieval Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit‐learn, PyTorch/TF 2, Hugging Face Transformers). Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs ...

role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferredStrong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines ...

working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines ...

large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrievalIntermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers).Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems.Solid ...

production-grade machine learning models, with a solid understanding of MLOps, Git and CI/CD practices. Strong Python programming skills, including experience with Pandas, Scikit-learn and either PyTorch or Keras/TensorFlow. Proven experience developing time-series forecasting models, ideally within energy, commodities, financial markets or another data ...