1 to 25 of 30 Permanent Regression Analysis Jobs in England

months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. … be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data scientists More ❯

months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. … be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data scientists More ❯

QUALIFICATIONS Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders In depth understanding of advanced statistical techniques and methodologies … as well as simple linear regression analysis, multivariate regression analysis and model building Advanced in SQL ability to write complex queries from scratch from multiple tables Fluency with Python (or R) - ability to run advanced statistical modelling PREFERRED QUALIFICATIONS Consulting experience with a major consulting firm More ❯

QUALIFICATIONS - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field. - Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders. - In depth understanding of advanced statistical techniques and methodologies … as well as simple linear regression analysis, multivariate regression analysis and model building. - Advanced in SQL ability to write complex queries from scratch from multiple tables. - Fluency with Python (or R) - ability to run advanced statistical modelling. PREFERRED QUALIFICATIONS - Consulting experience with a major consulting firm More ❯

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 More ❯

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 … 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 to communicate insights effectively. What We Offer At MrQ, we take pride in providing an array of fantastic benefits to our valued team members. Enjoy a competitive salary package that recognizes your hard work and dedication. Need 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 … 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 More ❯

tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse transaction data to identify patterns and trends indicative of fraudulent activities. o Investigate and monitor real-time transaction alerts to detect potential … to refine and optimize fraud detection systems. o Ensure that the company's financial practices comply with statutory regulations and legislation. • Data Management and Analysis: o Extract, clean, and manage large datasets using SQL and Python for in-depth analysis. o Utilize data analytics tools to track, analyse, and … related fields are a plus. • Minimum of 3-5 years of experience in a similar role, with a focus on fraud prevention and data analysis within Fintech or Banking. • Technical Skills: o Advanced SQL: Ability to write complex queries for extracting and analysing large datasets. o Python: Proficient in More ❯

analytically driven Business Insights Managerto generate actionable insights that influence leadership decisions, improve service experience, and reduce operational costs. This role combines advanced data analysis, statistical modeling, and AI to deliver clear, forward-looking insights that guide strategic direction and service transformation across the organization. As a Business Insights … Qualification: Bachelor's or master's degree in business Analytics, Data Science, Statistics, Economics, or related field. 3-5 years of experience in business analysis, data insights, or a similar role Proven ability to deliver insightful, executive-ready reporting and analysis that shapes decision-making. Strong proficiency in … SQL, Power BI/Tableau, and at least one statistical or programming language (e.g., Python, R). Hands-on experience with predictive modeling, regression analysis, and machine learning techniques. Excellent communication and storytelling skills with the ability to influence stakeholders at all levels of the organization. Experience managing More ❯

to business challenges and opportunities. Assist with improving data efficiencies and processes across the team. Conduct quantitative and qualitative credit research, and various statistical analysis to analyze trends. Monitor and analyze key global market credit trends. Manage Access and Oracle databases, including writing queries. Write commentary to support research … highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific scripting languages (Python, R, Matlab). Experience More ❯

financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness. As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while … development, and operational efficiency Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies Deliver actionable insights … Master's degree in Data Science, Economics, Statistics or a related quantitative field 3-5 years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis Strong coding skills ideally in Python and experience with SQL for data querying Familiarity More ❯

and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal component … analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the More ❯

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 to optimize media buying strategies, guiding channel allocation, budget distribution, and creative testing for maximum impact. Advanced analytics - explore advanced data analysis techniques, such as machine learning, to improve model accuracy and uncover deeper, more actionable insights. The Ideal Candidate 5+ years of experience with a strong … proficiency in data analysis tools and techniques (e.g., SQL, Python). Knowledge of different media channels (social media, print, television, online advertising) and their metrics. Previous Econometrics background, expertise in statistical methods like linear regression. Data modelling knowledge. Understanding business objectives and ability to translate data insights into actionable More ❯

agencies (PHD, Grapevine) to optimise the way they use data to augment decision making and deliver insights to the marketing team Conduct correlation and regression analysis to identify the metrics that matter across our data sources and business areas and work with key business partners to implement measurement More ❯

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 … 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 More ❯

developing a rate-sensitive prepayment model to improve hedging of the bank's mortgage portfolio and develop tools for counterparty credit risk management. Scenario analysis: Build models to project the impact of various stress scenarios on the balance sheet and protect the bank by informing the firm's capital … to work independently as well as thrive in a team environment Preferred qualifications: Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL Previous work experience in: Developing More ❯

media and social agencies to help them use data to make smarter decisions and provide valuable insights to the marketing team. Run correlation and regression analysis to pinpoint key metrics that matter and work with business teams to set up frameworks for tracking KPIs. Run training sessions to More ❯

media and social agencies to help them use data to make smarter decisions and provide valuable insights to the marketing team. Run correlation and regression analysis to pinpoint key metrics that matter and work with business teams to set up frameworks for tracking KPIs. Run training sessions to More ❯

Responsibilities: Perform in-depth quantitative research of ideas to support investment decisions. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing. Develop portfolio construction tools to extract alpha from the markets. Candidate Profile More ❯

seeing setbacks as a positive opportunity for growth Confidence to challenge the status quo Have the following abilities: Able to use excel for data analysis to an advanced level, or aptitude and willingness to learn more advanced Excel skills readily Able to understand IT infrastructure Able to learn quickly … ability to convey the right amount of information in the appropriate style fitting to different audiences Problem solving mentality and approach Numerical and data analysis skills, including the ability to spot and interpret trends Ability to understand customer requirements and business objectives Able to work effectively as part of … Unix/Linux operating systems (to basic level) Understanding of the principles of ICT capacity and performance management Understanding of Queuing Theory Understanding of Regression Analysis Principles of Risk Management Performance testing skills Experience with Jmeter or LoadRunner performance testing tool packages Java, C#/.NET, or Python More ❯

within Digital Banking and will be responsible for software that enhance the customer experience by providing applications and supporting platforms to enrich the information, analysis and planning available to our customers. As a developer, you will be responsible for end-to-end delivery of your software from inception to … platforms to consume, and process financial data both within and from outside the company. He or she will be building noteworthy high quality financial analysis and tools for our customers. The platform is built on top of a modern stack consisting of Kotlin/JVM for the back end … understanding of web applications and use APIs to power them Proven experience with live applications and production environments Applied statistics skills: distributions, statistical testing, regression analysis Database experience : Postgres, MongoDB, Redis Source Code Control: Working experience using GitHub, Bitbucket, RhodeCode Container orchestration: Docker, Kubernetes, GCP GKE, AWS ECS More ❯

within Digital Banking and will be responsible for software that enhance the customer experience by providing applications and supporting platforms to enrich the information, analysis and planning available to our customers. As a developer, you will be responsible for end-to-end delivery of your software from inception to … platforms to consume, and process financial data both within and from outside the company. He or she will be building noteworthy high quality financial analysis and tools for our customers. The platform is built on top of a modern stack consisting of Kotlin/JVM for the back end … understanding of web applications and use APIs to power them Proven experience with live applications and production environments Applied statistics skills: distributions, statistical testing, regression analysis Database experience : Postgres, MongoDB, Redis Source Code Control: Working experience using GitHub, Bitbucket, RhodeCode Container orchestration: Docker, Kubernetes, GCP GKE, AWS ECS More ❯

workflows that autonomously orchestrate tasks, enabling scalable and dynamic solutions. Our data stack is modern and efficient, designed to process large-scale information, automate analysis pipelines, and integrate seamlessly with AI-driven workflows. This is an excellent opportunity to make a significant impact on projects that push the boundaries … language models (LLMs) such as GPT and similar architectures, in production environments. Develop solutions leveraging traditional AI techniques such as decision trees, clustering, and regression analysis to complement advanced AI workflows Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and deployment. Optimize cloud More ❯

main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. We are committed to creating a diverse environment and are proud to be an More ❯

main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯