23 of 23 Pandas Jobs in Leeds

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

or gRPC architectural patterns. Proficiency in programming languages such as Python, Go, Java, or similar. Knowledge of data science concepts and tools like Jupyter, pandas, matplotlib, seaborn, numpy. Experience with API testing and security tools such as Postman, Burp Suite, OWASP ZAP. Strong understanding of database management systems like MySQL. More ❯

years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯

and the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

GCP services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have More ❯

testing, and operational excellence. Strong proficiency in Python. Desirable qualifications: Experience with machine learning frameworks (e.g., Torch, Hugging Face) or data analysis platforms (e.g., Pandas). Open source project experience. Community engagement experience. Familiarity with Scrum/Agile practices. What we offer: Competitive salary, bonus, and stock options. Company-issued More ❯

of at least one of the following languages or equivalents: Python, R, Scala, Java Experience with common data science toolkits, such as scikit-learn, pandas, R, Weka; excellence in more than one of these is highly desirable Good understanding of SQL and NoSQL (plus) database technologies; understanding of big data More ❯

experience developing credit scorecards or other classification models within financial services. Strong programming ability in SAS or Python; familiarity with libraries such as NumPy, Pandas, Scikit-learn, Keras, and Matplotlib is a plus. Working knowledge of algorithms such as logistic regression, tree-based methods (e.g. random forests, gradient boosting), and More ❯

probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage More ❯

control systems (e.g., GitHub Actions). You have an understanding of Infrastructure as Code (e.g., CloudFormation). Interest in developing analytical skills using polars, pandas or SQL. Experience working with cloud infrastructure (e.g., AWS Lambda). #J-18808-Ljbffr More ❯

/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity More ❯

version control systems (e.g., GitHub Actions). You have an understanding of Infrastructure as Code (e.g. CloudFormation) Interest in developing analytical skills using polars, pandas or SQL Experience working with cloud infrastructure (e.g. AWS Lambda). Club Statements General Statement All employees and workers of the Club must at all More ❯

experience with Oracle, SQL Server, and PostGres SQL databases. Technical Skills: Proficiency in at least 2 of the following: SQL, PSQL, C#, Python and Pandas for data manipulation and analysis. Problem Solving: Detail-oriented with exceptional problem-solving skills, capable of troubleshooting issues quickly and efficiently. Communication: Excellent ability to More ❯

rigorous testing frameworks, similar to CI/CD practices in software development. Requirements PhD or Masters in a related field Proficiency in Python, including Pandas, Scikit-learn, NumPy Experience with GCP (preferred) Forecasting experience (nice to have) Additional Details Remote position available. Desired Skills and Experience: Forecasting, Price Optimisation, Python More ❯

and reporting Familiarity with both physical and virtual database systems Analytical mindset with strong problem-solving skills and attention to detail Experience with Python pandas is beneficial but not required #J-18808-Ljbffr More ❯

PhD in Maths, AI, or Computer Science Excellent theoretical grounding in AI/ML Creativity in model design and problem-solving Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) Bonus: fluent in German, French, or Spanish Role Highlights: £80,000–£100,000 salary plus bonus (depending on experience More ❯

A Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, or a related field Strong Python skills and familiarity with libraries like pandas, scikit-learn, and TensorFlow or PyTorch Solid understanding of statistical analysis and machine learning fundamentals Excellent problem-solving and communication skills A proactive mindset and More ❯

Understanding of machine learning tools and visualisation techniques (e.g.PowerBI) to produce solutions to problems. Proficient in Python using data science libraries such as Numpy, Pandas, scikit-learn, and Plotly. Basic knowledge of SQL and Git for version control. A qualification in Data Science or a related field. Good communication skills More ❯

beyond the obvious and surface meaningful insights. Technical Proficiency: You're confident in SQL and Excel/Google Sheets. You can use Python (e.g. Pandas) for data manipulation and analysis. Familiarity with BI tools like Tableau or PowerBI is a plus. Strong Communicator: You can distill complex findings into clear More ❯

AWS Sagemaker, and Azure Machine Learning Experience in relevant Data Manipulation, Machine Learning and Statistical Analysis coding packages (eg. in Python: NumPy, Scikit-Learn, Pandas, Matplotlib etc.) Strong skills in data exploration, cleansing, modelling and presentation Strong experience in testing data models and Machine Learning Models Strong experience in data … AWS Sagemaker, and Azure Machine Learning Experience in relevant Data Manipulation, Machine Learning and Statistical Analysis coding packages (eg. in Python: NumPy, Scikit-Learn, Pandas, Matplotlib etc.) Strong skills in data exploration, cleansing, modelling and presentation Strong experience in testing data models and Machine Learning Models Strong experience in data 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 ❯

improvements through a rigorous testing framework, similar to CI/CD practices in software development. Requirements: PhD or Masters in a related field Python Pandas, Scikit-learn, NumPy GCP Forecasting experience (nice to have) Desired Skills and Experience Forecasting, Price Optimisation, Python, Pandas #J-18808-Ljbffr More ❯