76 to 100 of 124 Remote Pandas Jobs

the ability to become a fluent Python programmer in a short timeframe 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 More ❯

in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures More ❯

coders with a demonstrable ability to realise their ideas; some knowledge of Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and More ❯

coders with a demonstrable ability to realise their ideas; some knowledge of Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and More ❯

Experience working in an agile environment. Familiarity with scrum methodologies and code reviews. Task management using kanban boards. Technical Requirements: Proficiency in Python 3.11+, Pandas, and virtual environments. Expertise in PHP 8+ and Laravel API development. Vue.js skills, including UI/UX principles and Tailwind CSS. Strong communication and problem More ❯

to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

and provide clear, actionable results. Collaborate with cross-functional teams and stakeholders to ensure the implementation of insights. Technical Skills : Proficiency in Python (NumPy, Pandas) and SQL. Solid experience with data modeling, data analysis, and machine learning techniques. Ability to work with large datasets and extract valuable business insights. Duration More ❯

architectures, including supervised learning. Experience with GPU training and supporting libraries such as CUDA and PyTorch. Proficiency in the broader data science ecosystem, including pandas and numpy. Familiarity with Kafka data streaming and multiprocessing for deploying models. Strong general Python development skills and adherence to software best practices. More ❯

of experience in data science or machine learning roles. Strong knowledge of behaviour biometrics or sensor-based or time series data Solid Python skills (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience with time-series data or sensor-based or behavioural biometric data, and sequential modelling (e.g., LSTMs, Transformers More ❯

Looking For Experience in data science , ideally in climate, geospatial, or catastrophe risk Proficiency in Python , R , or similar, with experience using libraries e.g., pandas, scikit-learn Experience with climate models (e.g., CMIP6, ERA5) or catastrophe models is a strong plus Degree in a quantitative field: data science, climatology, environmental More ❯

as a Data Scientist or in a similar analytical role. Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib). Solid understanding of statistics, probability, and More ❯

as a Data Scientist or in a similar analytical role. Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib). Solid understanding of statistics, probability, and More ❯

to the founding members, and you’ll be given ownership on the direction of data engineering across the business. They’re currently using Python (Pandas), PostgreSQL, on AWS as the core technologies within data engineering, but you’ll also work on some exciting AI projects. If you feel there’s More ❯

to the founding members, and you’ll be given ownership on the direction of data engineering across the business. They’re currently using Python (Pandas), PostgreSQL, on AWS as the core technologies within data engineering, but you’ll also work on some exciting AI projects. If you feel there’s More ❯

field. Previous programming experience with data in Python and SQL (ideally via an analytics type project) Understanding of the Python data & AI "stack" (e.g. pandas, numpy, scikit-learn) Good communication skills with both technical and non-technical audiences We are looking for individuals with a critical thinking mindset, this can More ❯

data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various More ❯

a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive More ❯

pipelines, data workflows, and analytical processes. Your skills and experience 5+ years of experience in data science. Experience with data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience More ❯

Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust More ❯

the essence from complex matters and explain it simply. Being inquisitive and ensuring decisions are data-driven. Expertise working with large datasets using Python (Pandas) or SQL. A solid understanding of credit policy governance framework and the ability to work through the second/third line of defence in a More ❯

experience in Python Ability to visualise data appropriately and in a concise manner utilising a range of technologies. Familiarity with data manipulation libraries (e.g., pandas, numpy) and machine learning libraries (e.g., scikit-learn). Knowledge of standard software development process, good coding practice and change control technologies (e.g., Git, Azure More ❯

Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust More ❯

Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust More ❯

e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won More ❯

analytics. Proficiency in data visualisation tools such as Data Studio, Tableau, or similar platforms. High proficiency in SQL and Python (including API calls and pandas dataframes). Solid understanding of the advertising ecosystem and digital inventory management. Familiarity with DMPs, their applications, and use cases across industries. Strong presentation skills More ❯