Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of datavisualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes). Past experiences working in Fintech, Financial Services More ❯
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 More ❯
concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
london (camden town), south east england, United Kingdom
Wowcher
platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability More ❯
clean and transform data in preparation for analysis or modelling. Data visualisation - using tools like Power BI, Tableau, or libraries like Matplotlib or Seaborn to tell stories. Statistical analysis - understanding of key statistics and distributions, hypothesis testing, and the ability to derive insights. Working with both structured and More ❯
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). You More ❯
Measure Killer) Proficiency in other data visualisation tools beyond Power BI (e.g., Tableau, Looker, ThoughtSpot), as well as data visualisation libraries (e.g., Matplotlib, Seaborn, Plotly, ggplot2, D3.js, Kepler.gl, Apache Superset, Streamlit). Expertise in data storytelling techniques and the ability to translate data into actionable insights through compelling More ❯
Proficiency in Python, SQL, and NoSQL databases (e.g., PostgreSQL, MongoDB). Experience with data visualisation tools (Tableau, Power BI, or Python libraries like Seaborn). Familiarity with FastAPI for system integration and automation. API Integration Salesforce (or tools like MuleSoft) for CRM data extraction. Email APIs (e.g., Microsoft More ❯
Impala or other SQL-on-Hadoop query engines. Understanding of web development concepts (HTML, CSS, JavaScript). Proficiency in datavisualization libraries (Plotly, Seaborn). Solid understanding of database design principles and normalization. Experience with ETL tools and processes and Apache Oozie or similar workflow management tools. Understanding More ❯
from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong SQL skills, a good understanding of Linux, parallel More ❯
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 plus. More ❯
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 plus. More ❯
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 plus. More ❯
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 plus. More ❯
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 plus. More ❯
Experience in insurance, financial services, or related industries. Experience with data visualisation tools (Power BI, Tableau, Flourish, D3.js, or Python libraries e.g., Matplotlib, Seaborn) Expertise in cartography and map design. Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer More ❯
