26 to 41 of 41 Linear Regression Jobs in the UK

enhance statistical processes, and partner with internal and external stakeholders to deliver data-driven solutions. Python. Git for version control. Classical statistics. Hypothesis testing (parametric and non-parametric). Linear or logistic regression models. Exposure to small datasets, not just large (very important). Familiarity with pharma/health/medical datasets. Mixed effects models – ability to use 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 ❯

deliverables. You will: Lead and mentor a team of data scientists in building predictive models. Oversee data cleaning, feature engineering, and model development pipelines. Build and maintain robust, scalable linear regression and statistical models for KPI forecasting. Drive improvements in internal tooling and API integrations. Collaborate closely with leadership, engineering, and the revenue team to translate business needs … 5+ years’ experience in data science or a closely related field. Proven leadership experience — mentoring or managing junior data scientists. Expert Python programming skills (essential). Strong grasp of linear regression, statistical modeling, and data processing best practices. Proficient in SQL (MySQL preferred). Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus. Familiarity More ❯

The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret … Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills More ❯

The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret … Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills More ❯

The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret … Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills 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 ❯

Azure Machine Learning Integrated with Power BI Get familiar with Machine Learning Workspace Predict Diabetes Score using Linear Regression Prerequisites- Requires Azure Subscription for creating Automated ML Workspace Install Python on your system Understanding of Linear Regression algorithm Let’s first have a quick overview on Linear Regression and then we will deep dive … into the process of creating Automated ML model and this model will get integrated into Power BI. Linear regression is a linear approximation of a relationship between two or more variables. Regressor model are highly used by data scientist to make prediction over continuous numerical values. Basically, the process of linear regression is mentioned as … as per your choice but it should follow some objective of making predictions Design Machine Learning Model that works on the dataset Make predictions on the dataset (based on Linear regression algorithm There is dependent variable which is called Y being predicted and independent variable X1, X2, X3..........Xn . Here x is a predictor and Y is function 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 ❯

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 ❯

end-to-end modelling projects and collaborating closely with Data Viz, Planning and Client Services. You’ll: Lead high-impact analytics projects from brief to delivery Apply modelling techniques (linear regression, incrementality etc.) to solve real business problems Build trusted relationships with client teams and external stakeholders Present findings with confidence and strategic insight Mentor junior analysts and … shape delivery processes Balance multiple workstreams and manage timelines with ease What you’ll need to bring Experience in media/advertising analytics (MMM, regression modelling, incrementality, etc.) Fluency in one or more of Python, R, SQL, Alteryx, Snowflake, Tableau A proactive, solutions-focused mindset Strong communication skills – both with numbers and narratives Commercial acumen and a deep understanding More ❯

end-to-end modelling projects and collaborating with Data Visualization, Planning, and Client Services teams. You’ll: Lead high-impact analytics projects from brief to delivery Apply modelling techniques (linear regression, incrementality, etc.) to solve real business problems Build trusted relationships with client teams and external stakeholders Present findings confidently with strategic insights Mentor junior analysts and influence … delivery processes Manage multiple workstreams and timelines effectively What you’ll need to bring Experience in media/advertising analytics (MMM, regression modelling, incrementality, etc.) Proficiency in Python, R, SQL, Alteryx, Snowflake, or Tableau A proactive, solutions-focused approach Strong communication skills — both with numbers and storytelling Commercial awareness and understanding of the media ecosystem A collaborative mindset — guiding More ❯

end-to-end modelling projects and collaborating closely with Data Viz, Planning and Client Services. You’ll: Lead high-impact analytics projects from brief to delivery Apply modelling techniques (linear regression, incrementality etc.) to solve real business problems Build trusted relationships with client teams and external stakeholders Present findings with confidence and strategic insight Mentor junior analysts and … shape delivery processes Balance multiple workstreams and manage timelines with ease What you’ll need to bring Experience in media/advertising analytics (MMM, regression modelling, incrementality, etc.) Fluency in one or more of Python, R, SQL, Alteryx, Snowflake, Tableau A proactive, solutions-focused mindset Strong communication skills – both with numbers and narratives Commercial acumen and a deep understanding More ❯

Knowledge of Bayesian methods, neural networks (preferably PyTorch). Strong statistical background, especially Bayesian reasoning. Experience with causal inference models. Proficiency in various modeling techniques: gradient boosting, neural networks, linear regression. Expertise in Python, capable of developing REST services or UI components. Understanding of Kafka, Docker, and related technologies. Ability to own projects end-to-end. Data-driven, structured More ❯

to understand their requirements and translate them into effective technical solutions. Manage the ingestion and processing of large volumes of data efficiently and securely. Implement algorithms and models, including linear regressions and machine learning techniques, to support trading strategies. Utilize HPC and distributed systems to ensure high performance, scalability, and reliability of applications. Provide ongoing support, troubleshooting, and optimization More ❯

and deliver solutions. This involves regular communication with stakeholders to ensure that data analysis meets business needs. Desired Skills & Experience You have hands-on experience and understanding on building linear regression analysis and how they can and are applied within a media and advertising context. Competent at extracting and clearly communicating key insights from facts and data, to More ❯