10 of 10 Remote Permanent Linear Regression Jobs in the UK

Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and More ❯

Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and More ❯

Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and 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 ❯

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 ❯

analysis in a commercial environment A good understanding of statistical topics and the ability to explain them to non-technical stakeholders. For example, this would include hypothesis testing and linear regression Experience planning and completing analytical tasks on time, being responsible for gathering and defining analysis requirements, and having the courage to challenge misconceptions Confidence analysing data with More ❯

Markdown documentation for building, testing, and deploying. Cloud : Leverage cloud infrastructure (e.g., AWS EC2), databases, and configuration with markup files for remote management and deployment. Model : Implement models (e.g., linear regression, gradient boosting) with training/testing datasets, cross-validation, performance visualisation, and use hosted APIs; explore techniques like time-series forecasting, clustering, or Bayesian inference. Orchestration and More ❯

team fully remotely! The successful candidate will manage a team of 4 Data Scientists, providing technical guidance and mentorship. The role involves building models for KPI trackers, primarily using linear regression and time series analysis. Additionally, there may be integration tasks between different software systems, so knowledge of software development tools is a plus. Required Experience Web Scraping … Statistical Modelling - Regression, time series, clustering Proficiency in Python & SQL Preferred Skills and Experience Experience with Pandas, Kubernetes, TensorFlow, Docker Strong knowledge in statistics and data analysis #J-18808-Ljbffr More ❯

science! THE ROLE As the Senior Analyst you will utilise your strong SQL & Python experience across a range of ststatical analysis projects, including customer segmentation, marketing measurement, forecast modelling, linear regression & synthetic control methodology YOUR SKILLS AND EXPERIENCE Strong Python Strong SQL Statistical Analysis THE BENEFITS £65,000-£75,000 Fully Remote Working (In The UK) HOW TO More ❯

data using SQL (Google BigQuery) and Python. Strong foundational knowledge with practical experience in designing and analyzing A/B tests. Well-versed in various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling. Previous experience in the IAM domain is a strong plus but not a must. This is an excellent opportunity to More ❯