3 of 3 Data Cleansing Jobs in Gloucestershire

Data Science Trainee

Hiring Organisation
ITOL Recruit
Location
Gloucester, Gloucestershire, England, United Kingdom
Employment Type
Full-Time
Salary
£30,000 - £50,000 per annum
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could … have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals ...

Data Analyst Apprentice

Hiring Organisation
KOHLER MIRA LIMITED
Location
Cromwell Road, Cheltenham, England
Employment Type
Higher Apprenticeship
Salary
£17,000 a year
recognition awards through their training providers. Role In order to develop relevant and transferable skills, you will be enrolled onto a Level 4 Data Analyst apprenticeship, which will support you as you grow in your role. This part-time study will provide you with the opportunity … aggregation to more complex statistical analysis Identification of data quality issues and the proposal of data cleansing and enhancement solutions to ensure data is fit for purpose Interpretation of results using different analytical and statistical techniques to identify ...

Senior Machine Learning Engineer

Hiring Organisation
Beamost Ltd
Location
Cheltenham, Gloucestershire, UK
Employment Type
Full-time
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 ...