7 of 7 Linear Regression Jobs in the UK excluding London

or equivalent experience. Applied experience in Time-Series Forecasting including in production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience with machine learning-based More ❯

extremely interesting projects and work with some huge global brands. In this role, you will be responsible for modelling, applying econometric techniques such as regression analysis and using technologies such as SQL and Python. You’ll be working in an incredibly supportive and social team, where each employee is … large-scale media datasets from diverse sources (CRM, ad servers, audience panels) to ensure accuracy and readiness for analysis. Apply econometric techniques such as regression analysis, time series modelling, and panel data analysis to uncover insights into the impact of media spend on business outcomes. Deliver data-driven insights … Python). Knowledge of different media channels (social media, print, television, online advertising) and their metrics. Previous Econometrics background, expertise in statical methods like linear regression Data modelling knowledge. Understanding business objectives and ability to translate data insights into actionable actions. If this sounds like the role for More ❯

ability to apply logical, analytical, and innovative thinking on a range of technical problems. A proven ability to apply pre-processing techniques, statistical analysis, linear regression, and time-series analysis to industrial data. Preferable experience in Python Ability to visualise data appropriately and in a concise manner utilising More ❯

Collaborating closely with marketing, BMD, and product teams to deliver analytics that support business priorities Building advanced models using techniques such as random forest , linear regression , and k-means clustering Translating analytical findings into clear, actionable recommendations for senior stakeholders Driving continuous improvement in data quality and adoption More ❯

Knowledge of data management tools, coding, and data visualization (e.g., Alteryx, Snowflake, Python, R, SAC, Power BI). Knowledge of statistical modeling techniques (e.g., linear regression) is desirable but not essential. Basic financial understanding is preferred but not essential. Interest in developing data science and/or core More ❯

built for scale and speed Designing systems to handle massive data ingestion , feature engineering, and backtesting Collaborating directly with researchers to productionize models — from linear regressions to machine learning pipelines Leveraging HPC and distributed compute to run smarter, faster, and bigger Driving technical strategy while still writing clean, high More ❯

Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, LLMs, Generative Models (PALM, GPT3/4), Entity Extraction etc. Inside IR35 contract, rates to More ❯