201 to 225 of 302 Permanent Pandas Jobs

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 ❯

Top Skills: - Python - Machine Learning - JavaScript - Numpy and Pandas is a plus - This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to be obtain an (Interim Secret, Interim Top Secret) - Because an active or interim DoD clearance is required, U.S. Citizenship is required Eligibility requirements apply to some benefits and may depend More ❯

in Python with 2-5+ years of hands-on experience Familiarity with AI/ML concepts, or strong interest in learning quickly Experience with data processing tools (e.g., pandas, NumPy) Comfort working with JSON, APIs, and automation workflows Prior experience in a secure or classified environment is preferred Clearance: MUST HAVE active TS/SCI with CI poly More ❯

Well-versed in Python. Strong team player. Strong communication skills. Software Developer tech stack: Python > 3.5 with type hints, data classes, and Flask REST API. Postgres for relational data, Pandas for data analysis, and Google Cloud Pub/Sub for messaging. Cloud Build for automated builds, and Cloud Run/Docker for containerisation. Google Cloud Platform is used for infrastructure. More ❯

large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel More ❯

efficiency and reliability Collaborate closely with traders, quants, and developers to design new tools and refine existing systems Required Skills & Experience Strong Python programming skills, including data analysis with Pandas Advanced SQL proficiency (PostgreSQL or equivalent) managing large-scale datasets Solid understanding of market data sources (Bloomberg, Refinitiv/Reuters, etc.) Experience with Linux system administration in a low-latency More ❯

efficiency and reliability Collaborate closely with traders, quants, and developers to design new tools and refine existing systems Required Skills & Experience Strong Python programming skills, including data analysis with Pandas Advanced SQL proficiency (PostgreSQL or equivalent) managing large-scale datasets Solid understanding of market data sources (Bloomberg, Refinitiv/Reuters, etc.) Experience with Linux system administration in a low-latency More ❯

efficiency and reliability Collaborate closely with traders, quants, and developers to design new tools and refine existing systems Required Skills & Experience Strong Python programming skills, including data analysis with Pandas Advanced SQL proficiency (PostgreSQL or equivalent) managing large-scale datasets Solid understanding of market data sources (Bloomberg, Refinitiv/Reuters, etc.) Experience with Linux system administration in a low-latency More ❯

efficiency and reliability Collaborate closely with traders, quants, and developers to design new tools and refine existing systems Required Skills & Experience Strong Python programming skills, including data analysis with Pandas Advanced SQL proficiency (PostgreSQL or equivalent) managing large-scale datasets Solid understanding of market data sources (Bloomberg, Refinitiv/Reuters, etc.) Experience with Linux system administration in a low-latency More ❯

efficiency and reliability Collaborate closely with traders, quants, and developers to design new tools and refine existing systems Required Skills & Experience Strong Python programming skills, including data analysis with Pandas Advanced SQL proficiency (PostgreSQL or equivalent) managing large-scale datasets Solid understanding of market data sources (Bloomberg, Refinitiv/Reuters, etc.) Experience with Linux system administration in a low-latency More ❯

Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial. Ability to communicate technical results clearly in written and verbal formats. More ❯

Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial. Ability to communicate technical results clearly in written and verbal formats. More ❯

reports and concise business narratives Contributing to simple, reliable data pipelines and automated quality checks About You Minimum 1 year of commercial Data Science experience Strong hands-on Python (pandas, NumPy, scikit-learn) and SQL Sound understanding of statistics and forecasting Confident communicator - able to explain technical work clearly to non-technical audiences Why Apply Opportunity to build from scratch More ❯

machine learning models and training workflows using PyTorch or TensorFlow. Develop and maintain end-to-end ML pipelines, from data preprocessing to model deployment. Leverage the Python ecosystem (NumPy, pandas, scikit-learn, spaCy, NLTK, Hugging Face Transformers) for feature engineering, model development, and evaluation. Manage and track machine learning experiments using MLflow, ensuring reproducibility, versioning, and lifecycle management. Collaborate with More ❯

skills should I have? As our Senior Data Scientist you will have: At least 4 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/CD) Familiar with cloud More ❯

data cataloguing solution across the business units through architecting, positioning and delivering data science and machine learning. Key Skills: Machine Learning, deep learning TensorFlow & NLP (Natural Language Processing) Python - Pandas, PyCharm, Numpy SQL - MySQL, PostgreSQL, NoSQL, RDBMS Design and modelling GitHub & Jenkins Data Modelling, Data Wrangling and Extraction *Hybrid working, 2 days per week in Sheffield Office* Job Title: Ai More ❯

5+ years of experience in data science, machine learning, or software development. Proficiency in programming languages such as Python, R, Java, or Scala. Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn). Strong understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow). Hands-on experience with HPC environments, cloud computing, and containerization technologies. More ❯

maintain a Secret clearance-eligible for a Top Secret clearance. U.S. citizenship. Desired Qualifications/Skills/Abilities: Experience coding in Python for data analysis, manipulation, and automation (using pandas, numpy, or similar libraries). Understanding of supply chain management, logistics, or risk analysis concepts. Exposure to federal data systems or government contracting environments. Experience working with large, complex, or More ❯

Education: • University degree, preferably in aviation, geography or IT • Agile and SAFe methodologies working knowledge Technical Systems Proficiency: • Demonstrated proficiency in using Python and its core data analysis libraries (Pandas, NumPy, etc.) to analyze datasets is an asset • Google suite • Ability to learn bespoke software This job requires an awareness of any potential compliance risks and a commitment to act More ❯

and implementing complex system integrations Experience with Python and .NET Experience in implementing data solutions adhering to regulatory requirements and security measures Experience with Python with libraries such as Pandas In-depth knowledge of various database system technologies (relational, document, columnar, etc.) Understanding and experience with relational databases and implementation of OLTP and OLAP systems Professional experience in data modeling More ❯

NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity. Experience applying complex mathematical and statistical concepts. Experience applying statistical and operations research methods and tools. Experience employing spreadsheets for data manipulation and visualization. CA Pay More ❯

degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Machine Learning) You're confident in Python (production-level) and SQL, and at home with modern ML libraries such as Pandas, scikit-learn, and TensorFlow You have practical experience with MLOps frameworks and deploying models You're skilled at bringing data to life through visualisation, and tools like Tableau feel natural More ❯

and publication; ability to coordinate and support cross- community meetings and • working groups; assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim to answer analytical questions • Current/active TS/SCI clearance Desired Qualifications/Skills: • Knowledge of Army structure and defense level intelligence operations: intelligence collection More ❯

and publication; ability to coordinate and support cross- community meetings and • working groups; assimilate large volumes of information, and independently produce reports using data science focused libraries such as Pandas, Scikit, TensorFlow and Gensim to answer analytical questions • Current/active TS/SCI clearance Desired Qualifications/Skills: • Knowledge of Army structure and defense level intelligence operations: intelligence collection More ❯

in the cloud, including building full stack applications using technologies such as React/Angular, backend APIs, and various languages. Proficient in Python data handling utilizing libraries such as Pandas, ETL (Extract Transform Load) processes, reflecting strong affinity for data engineering in a predominantly Python-based environment. Professional knowledge of theoretical aspects of computer science and their pragmatic implementations. Proficient More ❯