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 ...

Senior Data Scientist

Hiring Organisation
Anson Mccade
Location
London, United Kingdom
Employment Type
Permanent
well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should be comfortable with everything from classical statistics and regression to deep learning and NLP. Data Engineering: Proficiency in SQL and experience working with modern data stacks (e.g., Snowflake, Spark, or cloud-native tools … know if a model works; you want to know why. Pragmatism: You choose the right tool for the job, whether thats a simple linear regression or a complex transformer-based architecture. Ethics & Safety: A commitment to building fair, transparent, and robust AI systems that respect privacy and mitigate ...

Data Scientist

Hiring Organisation
Impellam Group
Location
City of London, London, United Kingdom
conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts … libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis ...