426 to 450 of 644 Pandas Jobs

development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate with engineers and other teams to deliver solutions. Capabilities 2+ years relevant work experience. Proficient in Python (e.g., pandas, scikit-learn). Strong communication skills. Detail-oriented, with a desire to learn. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data More ❯

development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate with engineers and other teams to deliver solutions. Capabilities 2+ years relevant work experience. Proficient in Python (e.g. pandas, scikit-learn). Strong communication skills. Detail-oriented, with a desire to learn. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data More ❯

development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate with engineers and other teams to deliver solutions. Capabilities 2+ years relevant work experience. Proficient in Python (e.g., pandas, scikit-learn). Strong communication skills. Detail-oriented, with a desire to learn. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data More ❯

development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate with engineers and other teams to deliver solutions. Capabilities 2+ years relevant work experience. Proficient in Python (e.g., pandas, scikit-learn). Strong communication skills. Detail-oriented, with a desire to learn. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data More ❯

development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate with engineers and other teams to deliver solutions. Capabilities 2+ years relevant work experience. Proficient in Python (e.g., pandas, scikit-learn). Strong communication skills. Detail-oriented, with a desire to learn. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data More ❯

development-ready Python codebases. Produce visualisations and client-facing presentations. Collaborate with engineers and other teams to deliver solutions. Capabilities 2+ years relevant work experience. Proficient in Python (e.g., pandas, scikit-learn). Strong communication skills. Detail-oriented, with a desire to learn. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data More ❯

and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you More ❯

automatic evaluation of LLM outputs Good foundational knowledge of standard machine learning algorithms and statistical methods Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and data visualization libraries) Practical experience in data processing and feature engineering for machine learning applications Ability to write robust production-ready Python code Good communication and More ❯

machine learning techniques, aiding the development of solutions for real world problems. Mentor and coach less experienced colleagues. Skills, Knowledge and Expertise •Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (LLMs) and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms More ❯

Science, Mathematics, Statistics and econometrics, Physics 3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn) Understanding of how and when to apply analytical approaches including regression analysis and machine learning Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus Good More ❯

OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Excellent SQL skills Knowledge of python (pandas) Experience with Cloud platforms Creating data dashboards using Tableau, PowerBI or Qlik and story telling We expect you to work closely with business to understand their current data problems, pain More ❯

related cloud technologies. • Experience with data governance and management best practices. • Knowledge of Natural Language Processing (NLP) is a plus. Technical Skills • Proficiency in Python and libraries such as Pandas, NumPy, and Scikit-learn. • Experience with machine learning frameworks like TensorFlow or PyTorch. • Strong SQL skills and experience with relational databases. • Proficiency in data visualization tools such as Power BI More ❯

academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

solutions, capable of the following: Recommended: 2+ years of professional experience in a data engineering or similar role. Proficiency in Python , including use of libraries for data processing (e.g., pandas, pySpark). Experience working with Azure-based data services , particularly Azure Databricks , Data Factory, and Blob Storage. Demonstrable knowledge of data pipeline orchestration and optimisation. Understanding of SQL for data More ❯

Database Proficiency: Strong hands-on 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 convey technical concepts to non More ❯

Database Proficiency: Strong hands-on 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 convey technical concepts to non More ❯

academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

as a Data Scientist or Analytics professional and a Bachelor’s degree relevant to the subject matter Strong command of querying and programming languages SQL, R and python - numpy, pandas, sklearn, TensorFlow & Keras), and visualization tools (Excel, Tableau, matplotlib/seaborn/plotly in python packages Experience applying various methods of numerical and categorical modelling techniques and supervised and unsupervised More ❯

regressions, random variables Comfortable presenting back to technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks Comfortable with Python data science libraries such as pandas, scikit-learn, numpy, statsmodels Strong SQL experience including analytic functions, performance tuning, data wrangling Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non More ❯

academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required. Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas If you hold the experience and technical skills outlined above which would enable you to hit the ground running, please apply to find out more information about this exciting opportunity. More ❯

Database Proficiency: Strong hands-on 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 convey technical concepts to non More ❯

Database Proficiency: Strong hands-on 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 convey technical concepts to non More ❯

Database Proficiency: Strong hands-on 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 convey technical concepts to non More ❯