1 to 25 of 65 Regression Analysis Jobs in England

Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to extract deeper insights from multifaceted datasets. Design and execute A/B tests to optimize strategies and validate hypotheses. Strategic Performance … Analysis and Optimization Conduct in-depth analysis of KPIs, benchmarking against industry standards and historical performance. Perform multi-dimensional analysis to uncover hidden patterns and correlations in client data. Develop and maintain a comprehensive performance measurement framework, aligning metrics with client's strategic objectives. Lead root cause analyses for complex performance issues, proposing data-driven solutions. Business More ❯

building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm’s) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst role s with at least 2 years experience building Marketing Mix Models (mmm’s) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … it would be a bonus alternatively consultancies providing MMM would also be of interest. • Experience as a Marketing Analyst, Data Scientist or similar. • Proven experience and strong knowledge of regression analysis • Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. • Proficiency in Python and/or R. • Excellent More ❯

including Marketing, Product, and UX, to optimize acquisition and conversion strategies. Develop and maintain dashboards and reporting tools to track KPIs and acquisition performance. Leverage advanced analytics techniques (e.g., regression analysis, segmentation, cohort analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For Bachelor’s degree … in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. Experience with data visualization tools such as Tableau, ThoughtSpot, or Power BI. Expert knowledge of Statistical analysis and A/B methodologies. Strong problem-solving skills and ability More ❯

etc. User Segmentation: Build our core user personas, define and improve customer level segmentation, and define engagement thresholds Market Making Support: Establish betting lines and improve core algorithms Marketing Analysis: Understand marketing cohort behaviours using facebook ads and cohorts Reporting Infrastructure: Create automated dashboards for daily, weekly, and monthly KPIs Real-Time Optimization: Build systems to monitor and optimize … prediction, lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/B testing infrastructure, cohort analysis, and revenue optimization models Market Intelligence: Competitive analysis and market trend identification What We're Looking For Must-Haves 3+ years in mobile gaming, social casino or sportsbook … analytics with proven track record of driving user retention and monetization Strong SQL skills for complex data manipulation and analysis Python proficiency for data modeling, automation, and statistical analysis Dashboard expertise (Quicksights, Tableau, Looker, Power BI, or similar) Statistical modeling experience including A/B testing, regression analysis, and user segmentation Gaming industry knowledge of user More ❯

Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data … predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments to ETA predictions as conditions change. 3. Historical Data Analysis: Analyze historical data to understand common delays and their causes. This analysis can help in adjusting the predictive models to account for recurrent issues. 4. Route Optimization: Use … data can provide insights into vehicle performance, road conditions, and other factors that influence travel time. 7. Advanced Analytics Techniques: Employ advanced analytics techniques like time series forecasting, geospatial analysis, and simulation models to enhance the robustness of ETA predictions. Skills, Knowledge and Expertise We value diversity and encourage all interested candidates, regardless of whether they meet all qualifications More ❯

drive Continuous Product Improvement : Provide data-driven recommendations for feature prioritisation, product roadmap adjustments, and iterative product improvements based on insights from user data and experimentation results. User Behaviour Analysis : Analyse user behaviour data across multiple platforms to uncover trends, identify friction points, and recommend opportunities for product improvement and innovation. Product Experimentation & A/B Testing : Design, execute … Visualisation & Reporting : Present findings through dashboards, reports, and presentations to both technical and non-technical stakeholders, translating complex data into clear, actionable insights for product teams. User Segmentation & Cohort Analysis : Conduct deep-dive analyses into user cohorts and segments to identify patterns in behaviour and tailor product strategies to different user groups. Data Quality & Integrity : Ensure the integrity and … experimentation methodologies (A/B testing, multivariate testing, etc.) and their application in product decision-making. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Experience with end-to-end model development and maintenance of ML models used for business-critical decisions. Solid understanding of key product metrics More ❯

problem-solving ability and passion for big data. Experience with building multi-dimensional data models for analysis. Experience with building and operating highly available, distributed data systems. Proficiency with regression, classification, and cluster analysis approaches. Experience with data visualization/reporting software (e.g., Tableau). Advanced SQL, data mining skills, and analytical tools (e.g., R, Python, SAS). More ❯

Analytics, Statistics, Economics, or related field; advanced degree preferred. 10+ years of experience in marketing roles, including marketing analytics, revenue modeling, or enterprise data strategy. Proficiency in attribution modeling, regression analysis, and forecasting techniques. Deep knowledge of B2B marketing funnels, ABM, lead scoring, campaign diagnostics. Strong command of tools like Python, R, SQL, and data visualization platforms (Power … skills to convey technical insights to senior stakeholders. Additional Preferred Qualifications: Experience working with Adobe Analytics, Salesforce, Snowflake, Marketo, CDPs, and multi-touch attribution tools. Familiarity with CLTV, cohort analysis, and customer segmentation modelling. Background in working within Revenue Operations or Performance Marketing Centers of Excellence. Exposure to AI-driven modelling, predictive segmentation, or real-time scoring. What's More ❯

building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … plans. Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … it would be a bonus alternatively consultancies providing MMM would also be of interest. Experience as a Marketing Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent More ❯

building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm’s) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst role s with at least 2 years experience building Marketing Mix Models (mmm’s) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … it would be a bonus alternatively consultancies providing MMM would also be of interest. • Experience as a Marketing Analyst, Data Scientist or similar. • Proven experience and strong knowledge of regression analysis • Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. • Proficiency in Python and/or R. • Excellent More ❯

ASAP (weeks notice) Application: Apply online only, pay rate inside for Umbrella Role Overview Seeking a Senior Marketing Analyst with at least 4 years of experience in marketing data analysis, including 2 years building Marketing Mix Models (MMM's) using regression analysis, Python/r, SQL, and data visualization tools like Looker/Tableau. Experience in the … development. Provide strategic recommendations for media mix optimization to guide future campaigns. Coordinate with media owners and review media plans. Required Skills & Experience Minimum 4 years in marketing data analysis, with 2 years building MMM's. Experience with regression analysis, Python/r, SQL, and visualization tools. Experience in the media subscription sector or MMM consultancy experience More ❯

with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret … learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills: Ability to explain complex concepts to More ❯

has not previously been obtainable. 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 … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: 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: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business More ❯

has not previously been obtainable. 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 … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: 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: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business More ❯

has not previously been obtainable. 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 … stakeholders in a clear and concise manner. Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your 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: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of More ❯

remaining days. Key responsibilities for this role include: Lead the gathering and integration of media performance data from both online and offline sources to support deep-dive marketing effectiveness analysis, using tools such as Excel, SQL, and Python as needed Design and analyse experiments, including A/B and geo-based testing, to evaluate the incremental impact of media … campaigns and drive continuous optimisation Play a central role in the development and refinement of Econometric Media Mix Models (MMM) and other regression-based forecasting tools to support strategic planning and media investment decisions Interrogate and translate customer data into insight, helping clients understand behavioural cohorts and informing audience strategy for future campaigns Act as the primary data point … play a central role in uncovering media effectiveness insights that directly inform strategy for our clients. You must be confident in applying a range of analytical techniques - from attribution analysis to econometric modelling - to assess campaign performance across all channels. Crucially, you'll translate complex data into clear, actionable recommendations that drive smarter media investment and continuous optimisation. Technical More ❯

Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data Analyst CPS … Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regression analysis including MMM and A/B Testing Strong verbal and written communication skills More ❯

engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative insights, ensuring accuracy and usefulness Conducting advanced statistical analysis and clustering to uncover insights about student segments, motivations, and behaviours Collaborating closely with the Student Personas team to translate analytical findings into clear, actionable recommendations Creating robust documentation … analytical skills, demonstrated by excellent academic results, research projects, academic papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data … analysis using Jupyter notebooks or similar tools You are comfortable writing clear, efficient SQL for extracting, cleaning, and preparing datasets, demonstrated through coursework, internships, or personal analytical projects You have demonstrated initiative by independently exploring additional analytical and machine learning tools or frameworks, such as BigQuery, TensorFlow, PyTorch, or similar Progression This is an initial six-month engagement. If More ❯

of contact between GSS and its clients Leading teams of data analysts Building a good understanding of the GSS solution, configuration options and impact of configuration changes Undertaking data analysis, in Python and SQL, to identify patterns in data to tune the GSS solution Creating client-facing reports as part of project delivery and close Presenting GSS methodologies and … datasets Ability to identify trends & patterns within large datasets Advanced communication skills and stakeholder management skills including working with external clients Willingness to travel Experience in statistical modelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering Experience in analysing data in payments platforms including SWIFT, ISO20022 Experience working with More ❯

working on: Moloco Data Scientists contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through … models are trained with the most accurate engagement data. Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients. Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth. How Will You … a quantitative field. Programming: working knowledge of SQL and Python (or R) is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs. Excellent verbal and written communication skills, with ability More ❯

working on: Moloco Data Scientists contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through … models are trained with the most accurate engagement data. Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients. Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth. How Will You … a quantitative field. Programming: working knowledge of SQL and Python (or R) is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs. Excellent verbal and written communication skills, with ability More ❯

to tenders and attending pitch presentation Deliver profitable growth from delivering a premium service to new and existing clients Lead an agreed portfolio of consulting model development and quantitative analysis assignments, including scoping and planning work, reviewing deliverables, setting agreed budgets, managing risk, and ensuring high levels of quality and good commercial outcomes. Oversee the development of complex statistical … models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor's expert. Lead and oversee quantitative testing performed for audit engagement teams in More ❯

to tenders and attending pitch presentations. Deliver profitable growth from delivering a premium service to new and existing clients. Lead an agreed portfolio of consulting model development and quantitative analysis assignments, including scoping and planning work, reviewing deliverables, setting agreed budgets, managing risk, and ensuring high levels of quality and good commercial outcomes. Oversee the development of complex statistical … models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor’s expert. Lead and oversee quantitative testing performed for audit engagement teams in More ❯

to tenders and attending pitch presentation Deliver profitable growth from delivering a premium service to new and existing clients Lead an agreed portfolio of consulting model development and quantitative analysis assignments, including scoping and planning work, reviewing deliverables, setting agreed budgets, managing risk, and ensuring high levels of quality and good commercial outcomes. Oversee the development of complex statistical … models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor’s expert. Lead and oversee quantitative testing performed for audit engagement teams in More ❯

/Analyst Senior Quantitative Researcher/Analyst Get the Data (GtD) is a successful and growing company, both in London and in Atlanta USA. GtD’s exciting social impact analysis approach is helping organisations on both sides of the Atlantic to measure, learn and prove their social impact. At GtD we offer our employees an opportunity to gain extensive … could be looking for your first role or want to apply your analytical skills to something more rewarding. But you must be passionate about how high quality, well communicated analysis can improve social outcomes. You will be looking forward to influencing senior people in the police, courts, probation services and third sector organisations on both sides of the Atlantic. … you will be a self-starter, relish the opportunity to help a business grow and want to learn and apply advanced analytical and statistical techniques. You will provide quantitative analysis skills to our evaluation and social impact analysis practice in the areas of criminal justice, education and housing. Specifically you will support an evaluation of an intervention to More ❯