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 ❯
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 ❯
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 ❯
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 ❯
functions, optimization techniques) Advanced skills in Microsoft Excel (pivot tables, lookups, data analysis toolpak, macros a plus) Experience writing Python for data manipulation, automation, or visualization (pandas, matplotlib, seaborn) Hands-on experience working with BigQuery or other cloud-based data warehouses (Redshift, Snowflake, etc.) and JSON data structures Strong team player and desire to support work of team More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Starling Bank
or similar platforms). Technical Proficiency: in SQL and Python, along with familiarity with standard libraries used in data science such as scikit-learn, Keras, TensorFlow, pandas, NumPy, seaborn, and Matplotlib. Desirables: While not essential, the following experience would be highly beneficial: Production Experience with LLM Monitoring: Hands-on experience with monitoring LLMs in production, including familiarity with More ❯
in SQL (joins, CTEs, optimization) and experience working with large-scale datasets in BigQuery, Snowflake, or Redshift Strong Python skills for analytics, automation, and data manipulation (pandas, matplotlib, seaborn) Strong understanding of data modeling, governance, and performance tuning in cloud-based environments Proven ability to lead teams, define strategy, and influence cross-functional stakeholders across technical and non 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 ❯