3 of 3 Linear Regression Jobs in England

Data Scientist – Credit Risk & AI Innovation

Hiring Organisation
Infact
Location
Greater London, England, United Kingdom
scientist to experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline performance, while XGBoost and LLMs are used as responsible additions. We are looking for someone … knows when to use a simple linear model and when to deploy and how to explain complex non-linear and generative AI. Current Areas of Focus: Affordability, income and expenditure analysis, credit risk, and fraud detection, with excellence in Entity Resolution – tying together disparate consumer data into ...

Data Scientist - Credit Risk & AI Innovation

Hiring Organisation
Infact
Location
Slough, Berkshire, UK
Employment Type
Full-time
scientist to experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline performance, while XGBoost and LLMs are used as responsible additions. We are looking for someone … knows when to use a simple linear model and when to deploy and how to explain complex non-linear and generative AI. Current Areas of Focus: Affordability, income and expenditure analysis, credit risk, and fraud detection, with excellence in Entity Resolution – tying together disparate consumer data into ...

AI/ML Principal Engineer

Hiring Organisation
Velocity Talent Ltd
Location
Central London, London, United Kingdom
Employment Type
Contract
Contract Rate
£400 per day £400 a day inside IR35
Statistical & Multivariate Analysis Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning Supervised Models: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN, Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering ...