8 of 8 Pandas Jobs in Yorkshire

massively parallel processing) databases. Experienced with data warehousing fundamentals and concepts. Database migration and ETL experience. Familiarity with Data Manipulation and Analysis such as pandas, NumPy, scipy. Knowledge of authentication and authorization protocols (OAuth, JWT, etc.). SPECIAL REQUIREMENTS: Participate in pager duty rotations during nights, weekends, and holidays. Ability More ❯

Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement More ❯

years of hands-on experience in data analysis, reporting, or data science. Strong proficiency in SQL for data querying and manipulation. Experience using Python (Pandas, NumPy, Matplotlib, or similar) for data analysis. Expertise in data visualization tools such as Tableau, Power BI, or Seaborn. Solid understanding of statistics and A More ❯

domains: data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills and technical familiarity At least 4 years of proven experience in Data Science. Sc./M.Sc. from a leading More ❯

accessibility and security compliance. Utilize Python for data analysis, automation, and visualization. Develop predictive models and automate routine tasks using Python libraries such as pandas, NumPy, and Matplotlib. Knowledge of user authentication and authorization between multiple systems, servers, and environments. Understanding of fundamental design principles behind a scalable application. Familiarity More ❯

of analysis tools, e.g. Google Analytics, ClickTale, PowerBI is essential. Basic SQL and data manipulation using some form of programming language (e.g. Python/Pandas/.NET) would be an advantage. Good working understanding of common digital technologies Essential Involvement in all aspects of project lifecycle Essential Partner/vendor More ❯

accessed in the most efficient and effective manner. Your Toolkit The Languages You Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS … CI/CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building More ❯

Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯