176 to 200 of 230 Matplotlib Jobs

Technology, Finance, Collections, Ops and other stakeholders What you'll need Excellent SQL skills Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization tool (Tableau More ❯

work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯

work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯

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, and nonparametric statistics More ❯

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, and nonparametric statistics More ❯

teams across different geographies Advantageous/Useful skills – Programming and Data processing Spotfire, Tableau, Qlik, IBM Cognos, MicroStrategy, Alteryx, R Shiny, Google Charts, SSRS, Matplotlib, Seaborn, Plotly, Extensive Excel visualisation experience combined with expert SQL (we could potentially consider someone with extensive experience with both Excel visualisations and SQL, as More ❯

strong foundation in data structures, algorithms, data modelling, and software architecture. Solid hands- on experience in Python and its ecosystem ( Jupyter, Pandas, Scikit- learn, Matplotlib), and comfort working with SQL for data analysis. Experience with LangChain is a plus. Experience of delivering AI and ML- based products into production environments More ❯

work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯

work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯

work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯

to maintaining and improving analytical processes and deliverables across the team. Fluent in English. NICE TO HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing More ❯

understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills Excel proficiency More ❯

Analyst role. Python data-wrangling mastery. Excel power-user (Power Query, pivots; VBA a plus). Bonus: BI/viz chops (Power BI, Tableau, Matplotlib, Plotly). Clear communicator who makes complex data simple. 🌟 Impact & Growth Join a social, supportive squad of specialists who’ve each made a mark within More ❯

Analyst role. Python data-wrangling mastery. Excel power-user (Power Query, pivots; VBA a plus). Bonus: BI/viz chops (Power BI, Tableau, Matplotlib, Plotly). Clear communicator who makes complex data simple. 🌟 Impact & Growth Join a social, supportive squad of specialists who’ve each made a mark within More ❯

the deployment and monitoring of applications in production environments Contribute to system architecture decisions and process improvements Data Visualization: Experience with libraries such as matplotlib, seaborn, plotly Cloud Infrastructure: Familiarity with Azure and cloud-based deployments Version Control: Proficient with GitHub Message Queuing: RabbitMQ or similar Data Processing: Experience working More ❯

Random Forest, XGBoost), research areas (e.g., NLP, Transfer Learning), and Deep Learning (e.g., BERT, LSTM) Proficiency in SQL and Python (Jupyter, Pandas, Scikit-learn, Matplotlib) Knowledge of model evaluation, data preprocessing techniques, and statistical methods Core Values Customer Focus: Use data to improve customer experience Humanity: Act with respect and More ❯

statistical analysis concepts (e.g., standard deviation, percentile distribution, A/B testing, test vs. control group experimentation, statistical significance) Advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly) WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to More ❯

to maintaining and improving analytical processes and deliverables across the team. Fluent in English. NICE TO HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing More ❯

to maintaining and improving analytical processes and deliverables across the team. Fluent in English. NICE TO HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing More ❯

ownership of complex price and/or risk projects end-to-end, specifically within the gambling sector Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of More ❯

ownership of complex price and/or risk projects end-to-end, specifically within the gambling sector Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of More ❯

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 neural networks. Proficiency in SQL More ❯

unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/… unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/ More ❯

PivotTables, formulas, charting, advanced data manipulation) Advanced SQL proficiency (joins, window functions, optimization) Strong hands-on Python abilities, especially with Pandas and data visualization (Matplotlib, Seaborn) Experience with BI or dashboarding tools (Power BI, Tableau, or similar) Critical thinking and strong data storytelling abilities Excellent communication and presentation skills Benefits More ❯

and extend existing Commodities trading and research infrastructure together with Researchers and Support Engineers. Requirements: Comfortable in Python, in particular numerical libraries - numpy, pandas, matplotlib, etc. Basic knowledge of AWS. Basic knowledge of databases (e.g. SQL). Development practices - version control with Git, unit testing, etc. A quantitative mindset. Team More ❯