51 to 75 of 148 Pandas Jobs

with interfacing with customer stakeholders to align on requirements and technical implementations Must have: 3+ years of experience with Python Experience with Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Nice to have: Experience with Python ORM More ❯

including market, order, and execution data. Data Analysis & Manipulation: Experience working with large datasets using Q/KDB+, especially time-series data. Programming & Scripting: Proficiency in Python and the Pandas library for data analysis, cleansing, and automation. Data Visualization: Demonstrable experience designing interactive dashboards in Tableau. Database & SQL Expertise: Advanced skills in writing complex SQL queries; experience with Impala is More ❯

Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. A More ❯

up-to-date with emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally with More ❯

Python, PySpark, or other object-oriented development languages Required Skills: 1) Min 5 years of solid Pentaho-specific ETL development experience 2) Min 2 years of Python and PySpark (Pandas are ok, if the developer is very strong otherwise) 3) 3 or more years of development within the CIA or NSA environment. Desired Skills: 3a) Pentaho customized components expertise using More ❯

closely with global colleagues; communicate designs clearly. Requirements AWS data stack, hands on experience: Glue, Airflow/MWAA, Athena, Redshift, RDS, S3. Strong coding skills in Python & PySpark/Pandas & SQL. CI/CD automation: AWS CodePipeline, CloudFormation (infrastructure as code). Architect-level experience: At least 5 years in a senior/lead role. Security-first mindset: Solid understanding More ❯

a sales & trading environment (market data, order/execution data). Data wrangling: Hands-on experience with large datasets, time-series data, and advanced analytics. Programming: Proficiency in Python (Pandas) and Q/KDB+. Visualisation: Strong Tableau skills-able to turn complex data into actionable dashboards. SQL mastery: Advanced SQL skills; Impala experience is a plus. BI modelling: Experience designing More ❯

basic AI algorithms and explore practical applications of AI. Overview of AI and Machine Learning Types of machine learning (supervised, unsupervised, reinforcement) Introduction to Python Libraries for AI - NumPy, Pandas, Matplotlib Scikit-learn for machine learning Building AI Models Data preprocessing Training and evaluating models Advanced Programming for AI Integration This programme aims to equip participants with the knowledge and More ❯

needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on-premise/open-source AI frameworks. Strong problem-solving and More ❯

needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on-premise/open-source AI frameworks. Strong problem-solving and More ❯

industry experience equivalent (+4 years relevant experience can substitute for a BS degree) Security Clearance-Current active TS, SCI eligible Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK) Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable More ❯

AI requirements into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face More ❯

Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills More ❯

related field. * 3–5 years of experience in a data science or advanced analytics role, preferably within supply chain, logistics, or transportation. * Strong proficiency in Python (including libraries like pandas, scikit-learn, NumPy) and SQL. * Experience building and deploying machine learning models in production environments. * Solid understanding of supply chain dynamics, transportation logistics, and distribution center operations. * Ability to work More ❯

insights. Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge in SQL/NoSQL databases and API development/integration. Proven ability to analyze model performance and optimize for accuracy, efficiency, and More ❯

skills. Bonus skills • Experience deploying and managing applications with Azure and Docker. • Familiarity with frameworks like LangChain and Retrieval-Augmented Generation (RAG) models for AI-driven applications. • Experience with pandas for data manipulation. What’s on offer • Regular salary reviews recognising performance and contribution. • Generous annual leave: 25 days plus three days over Christmas. • Flexible hybrid working to support work More ❯

async/await patterns Data structures and algorithms for efficient data processing and model optimisation Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: Pandas and NumPy for data manipulation, cleaning, and numerical operations SQLAlchemy or psycopg2 for database connectivity and ORM operations Boto3 for AWS service integration and automation AWS (working within Technical Lead More ❯

async/await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead More ❯

systems or cloud platforms, including Azure, AWS, or GovCloud Experience with developing data and machine learning solutions for big data problems Experience with data brokers, including Kafka, Confluent, RabbitMQ, Pandas, or RedPanda Experience with MLOps for production and machine learning workloads Ability to obtain a Secret clearance Bachelor's degree Additional Qualifications: 2+ years of experience with architecting and implementing More ❯

management such as Conda and pip. Hands on experience training models and integrating pretrained models into operational dataflows and software architectures. Experience with data querying and visualization using SQL pandas and visualization tools and with rigorous model evaluation and error analysis. Proficiency with Git based collaborative development and Agile delivery. Education Requirement Bachelor's degree in Data Science, Computer Science More ❯

with Python Experience working on teams using Agile practices Desired Skills: Experience working in a Lab environment with Linux embedded systems Automated test experience with tools like Jupiter Notebook, Pandas, Sikuli, Robot Framework Experience with Git, Jira, and DevOps Knowledge of and experience with the THAAD Fire Control software Experience working with Missile programs Security+ Certification Excellent communication skills, both More ❯

years of experience developing AI/ML applications, data science, or algorithm development Experience with Python and data science/machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.) Experience with one or more of the following: Applying unsupervised and/or supervised machine learning techniques Applying and/or developing algorithms based in statistical More ❯

in the Natural Language domain or when working with other unstructured data. • Solid understanding of Python, including writing modular Pythonic code, familiarity with core Python data structures, fluency with pandas, and experience with unit testing. • Experience managing and mentoring junior colleagues. • Experience with chatbots and working with chat data. And any experience of these would be really useful: • Hands-on More ❯

training data analysis, and root-cause analysis Working knowledge of basic analysis using tools such as Microsoft Excel, Microsoft Power BI, Qlik, Databricks, Tableau, and/or Python (with Pandas, Matplotlib, NumPy, SciPy, Seaborn, etc.) Experience drafting U.S. Navy documents and administrative products (instructions, TACMEMOs, publications, naval messages, etc.) At least 4 years of recent experience leading and training functional More ❯

mix of education and hands-on experience are encouraged to apply. 5+ years of experience in data engineering or backend systems development. Expertise in Python and frameworks such as Pandas, SQLAlchemy, PySpark, and RESTful API design. Proficient in writing and optimizing SQL queries and working with relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Familiarity with CI/ More ❯