merging, and deduplication, adept at transforming raw data into a unified and reliable asset. Projects natural confidence in communication and has strong stakeholder management skills. Has strong proficiency with Pandas, Numpy, PySpark or similar for Data Analysis & Cleaning Python Maintains a solid knowledge of both Automation tools, & other emerging technologies including AI platforms & LLM's. Organised, meticulous & attention to detail More ❯
production processes Develop dashboards and visualizations Work closely with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/ More ❯
production processes Develop dashboards and visualizations Work closely with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/ More ❯
production processes Develop dashboards and visualizations Work closely with data scientists and stakeholders Follow CI/CD and code best practices (Git, testing, reviews) Tech Stack & Experience: Strong Python (Pandas), PySpark, and SQL skills Cloud data tools (Azure Data Factory, Synapse, Databricks, etc.) Data integration experience across formats and platforms Strong communication and data literacy Nice to Have: Commodities/ More ❯
forecasting, causal inference) to go beyond the obvious and surface meaningful insights. Technical Proficiency: You're confident in SQL and Excel/Google Sheets. You can use Python (e.g. Pandas) for data manipulation and analysis. Familiarity with BI tools like Tableau or PowerBI is a plus. Strong Communicator: You can distill complex findings into clear, compelling stories that drive decision More ❯
forecasting, causal inference) to go beyond the obvious and surface meaningful insights. Technical Proficiency: You're confident in SQL and Excel/Google Sheets. You can use Python (e.g. Pandas) for data manipulation and analysis. Familiarity with BI tools like Tableau or PowerBI is a plus. Strong Communicator: You can distill complex findings into clear, compelling stories that drive decision More ❯
code written in Python. This role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with REST API's Any of More ❯
Key Requirements: Expertise in sensor fusion, signal processing, SLAM, and machine learning Hands-on research/engineering experience in at least one relevant domain Proficiency with Python, PyTorch, and Pandas Quick adaptability to emerging technologies and academic literature PhD in positioning systems, robotics, or machine learning (or equivalent experience) Track record in commercial R&D or relevant academic publications Experience More ❯
London, England, United Kingdom Hybrid / WFH Options
Xcede
experience building machine learning models for marketing use cases ADVANCED skills in segmentation, recommendation, campaign optimisation, forecasting, etc. Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch. Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision. Solid understanding of experimentation methods including A/B testing. Strong communication skills and More ❯
the globe. We are seeking a talented Data Engineer to join our team. As a Data Engineer, you will work with a variety of technologies including Python, Py-Spark, Pandas, SQL and Azure DevOps. You will be responsible for modeling and implementing predictive maintenance solutions for our products, specifically focusing on jet engines. Responsibilities Collaborate with stakeholders to understand data More ❯
validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field. More ❯
in leading a (small) team and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background in statistics and mathematics, showing clear understanding of probabilities; Eye for quality, autonomous and attention to detail; Fluency in English (written and verbal communication) is required More ❯
in leading a (small) team and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background in statistics and mathematics, showing clear understanding of probabilities; Eye for quality, autonomous and attention to detail; Fluency in English (written and verbal communication) is required More ❯
Master's in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field. Additional Qualities We Value: Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar. Any experience training or implementing Large Language Models and related generative AI technologies would be a plus. Strong time management skills and the ability to break More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Healthcare Businesswomens Association
Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯
and able to teach others in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building More ❯
Data Analyst - Southampton - £30,000 - £45,000 per annum. VIQU have partnered with a fast-growing SaaS and data analytics company who are looking to expand their current team and hire a geospatial data analyst. The ideal candidate will hold More ❯