76 to 96 of 96 Data Cleansing Jobs in the UK excluding London

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

testing, CI/CD and code reviews. You will contribute production-quality code and learn how to build scalable, secure and maintainable systems Data Analytics, Insights and Engineering: You will learn how to analyse large sets of data to uncover hidden patterns and insights. … This will involve using statistical techniques, machine learning algorithms and data visualisation tools. You will gain hand-on experience in manipulating and cleaning data using programming languages such as Python and SQL. Technology Project Planning & Management: You will learn how to support and ensure ...

testing, CI/CD and code reviews. You will contribute production-quality code and learn how to build scalable, secure and maintainable systems Data Analytics, Insights and Engineering: You will learn how to analyse large sets of data to uncover hidden patterns and insights. … This will involve using statistical techniques, machine learning algorithms and data visualisation tools. You will gain hand-on experience in manipulating and cleaning data using programming languages such as Python and SQL. Technology Project Planning & Management: You will learn how to support and ensure ...

Salesforce hygiene, reporting, and deal support so our team can focus on deal making. The objective of this role is to ensure data and process governance to optimize systems, drive funnel and performance insights, and deliver actionable steps to GTM team and executives to improve efficiency, alignment … sales technology, capable of translating strategy into operational execution with measurable impact. What you’ll do Enforce and maintain Salesforce and other systems’ data quality controls to ensure that data is relevant, accurate, and reliable Support GTM team’s reporting and other internal administrative ...

RESEARCH MANAGER (ANALYTICS/DATA SCIENCE) Up to £60,000LONDON - OFFICE-LED (4 DAYS A WEEK, FRIDAYS AT HOME) Please note, you must be a UK resident with full right to work ABOUT THE BUSINESS This fast-growing B2B research technology startup is on a mission … commercial team with methodological input and analytical thinking SKILLS & EXPERIENCE REQUIRED Essential 3+ years' experience in analytics and/or research using survey data Hands-on experience running statistical analyses including: Factor reduction techniques Multi-level/mixed-effects regression (linear and logistic) Segmentation and cluster analysis ...

qual/mixed methods) Contribute to proposals and RFPs About You Essential 3+ years' experience in analytics and/or research using survey data Hands-on experience with regression, factor analysis and segmentation techniques Strong data wrangling, cleaning and weighting skills Proficiency … Python for analysis and visualisation Curious, exploratory approach to finding insight in data Nice to have Experience with Bayesian as well as frequentist methods Understanding of the full market research project lifecycle Interview Process Screening questions Talent interview Hiring Manager interview In-person task (with opportunity ...

skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values … interactivity. ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). iii. REST APIs: Fetching or sending data to backend services ...

EMEA conference programme. The role involves supporting the delivery of session catalogues across large-scale events, managing high volumes of session and speaker data and ensuring all digital channels remain accurate before, during and after each event. This role is fully remote and offers flexible hours, working … with international teams. Key responsibilities will include: · Owning session catalogue management across multiple events running in parallel. · Managing data exports from content management systems and performing manual data cleaning and reformatting. · Uploading and maintaining session data across web and mobile event ...

maintenance company that has a 35+ year history specialising in the maintenance of delivery lockers and the cleaning of IT, technical hardware and data centre compliance. No two days are the same, there are varied duties and this is a mobile role, on the road, driving … sites per day. Duties will be varied as this role encompasses all aspects of the business from IT Hardware Auditing, PC Cleaning and Data Centre Cleaning. You will also service and maintain delivery lockers at various locations, replacing parts and making sure they are in working order. ...