4 of 4 Permanent Linear Regression Jobs in the UK excluding London

Computer Science, Data Science, AI, or a related discipline. Strong numerical and statistical knowledge (e.g. Bayesian/frequentist methods, probability distributions). Solid understanding of machine learning algorithms (e.g. linear/logistic regression, random forests, neural networks, time series models). Experience with multiple programming languages — with Python and SQL preferred. Interest or familiarity with large language models More ❯

across the platform to support commercial growth and marketing optimisation. Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and senior stakeholders to translate insight into business action. Support marketing measurement … science, or advanced analytical modelling. Hands-on experience using Python for statistical analysis and modelling. Advanced SQL skills for data extraction and manipulation. Experience applying statistical methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. … to Mohammed Buhariwala at Harnham using the Apply link on this page or connect directly to find out more. Keywords Insight Analyst, Customer Analytics, Data Science, SQL, Python, Forecasting, Linear Regression, Marketing Analytics, Churn, Segmentation, Experimentation, A/B Testing, Membership, Subscription, Data Modelling, Hybrid, Remote. More ❯

Expertise in T-SQL to write complex queries and stored procedures. Understanding of database optimisation, data mining, auditing, and segmentation. Skilled in data visualisation and statistical techniques such as linear regression. Ability to conduct user acceptance testing and ensure data integrity. Confidence to challenge existing processes and recommend improvements. Effective communication skills and the ability to translate complex data More ❯

internal and external stakeholders to deliver data-driven solutions. Essential experience: Python. Git for version control. Classical statistics. Hypothesis testing (parametric and non-parametric). Survival analysis techniques (Cox regression, etc). Linear or logistics regression models. Exposure to small datasets, not just large (very important). Desirable experience: Familiarity with pharma/health/medical datasets. More ❯