models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on a standard vesting schedule Impact & Exposure: Work at the leading edge of More ❯
the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering DataVisualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g. More ❯
the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering DataVisualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g. More ❯
the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering DataVisualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g. More ❯
expertise in 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/CD and automation tools. Experience using More ❯
Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL (joins, aggregations, CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability More ❯
leveraging R, Python, SQL, or NoSQL • Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL • Experience with visualization packages, including Plotly, Seaborn, or ggplot2 About Blue Sky Blue Sky Innovative Solutions (Blue Sky) assists its federal, state and local, and commercial clients with solving their toughest challenges in the areas of More ❯
Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability More ❯
Mc Lean, Virginia, United States Hybrid / WFH Options
MITRE
or leading customer facing engagements emphasizing quantitative or computational finance. • Experience or familiarity with visualizing multi-dimensional financial data or events, using tools like Tableau, Plotly, ggplot2, matplotlib, seaborn, or D3.js. • Demonstrated ability to manipulate large financial datasets and time series data and perform calculations with at least one modern programming language like Python (utilizing packages like scikit More ❯
scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in datavisualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. Understanding of common software practices like version control, continuous More ❯
outcomes. Proficiency in mathematical optimization, discrete-event simulation, rules programming, and predictive analytics is essential. Key technologies include Python, PyCharm, VS Code, Jupyter Notebooks, Pandas, NumPy, Dask, Matplotlib, Seaborn, Plotly, shell scripting, and database management with SQL, MongoDB, Cassandra, PostgreSQL, and MySQL. Familiarity with version control systems like Git, GitHub, GitLab, and CI/CD tools such as More ❯
Understanding of ORM/entity relationships, NoSQL, JSON, XML, SQL and exposure to data visualisation tools (ETL/ELT). Data Science Tools: Proficiency in Numpy, Pandas, Matplotlib, Seaborn and Scikit-learn. MLOps: Experience building pipelines (CI/CD) using Bicep or similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. API Development More ❯
leveraging R, Python, SQL, or NoSQL Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 More ❯
R, Python, or SQL/NoSQL Experience with Distributed data/computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Bachelor's degree More ❯
and tools for model deployment, monitoring, and retraining. • Proficient in SQL/NoSQL and languages like R or Python for algorithm development. • Visualization expertise with libraries like Plotly, Seaborn, or ggplot2. • Knowledge of GPU workloads and indexing/search optimization techniques. Additional Information: Ideal for candidates looking to apply advanced data science techniques in high-impact, mission-driven More ❯
technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Datavisualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term journey through much complexity, change and ambiguity. A clear communicator who can share a compelling plan More ❯
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched More ❯
We're looking for a Senior Credit Risk Manager About us Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're More ❯