18 of 18 Regression Analysis Jobs in the UK

population health, with a proven ability to apply advanced statistical techniques to complex health datasets. The candidate should possess a deep understanding of study design, statistical modelling (e.g., survival analysis, regression techniques, longitudinal data analysis), and epidemiological methods for assessing disease patterns, risk factors, and health outcomes across populations. Experience in translating analytical findings into actionable insights … learning and discovery, continuously seeking to understand the 'why' behind the data and its clinical implications. Nice to Have Proficiency in R and Power BI. Understanding of clinical genomics analysis, including the interpretation of genomicvariants in the context of disease prevention, cancer genomics, and pharmacogenomics. Experience in health economics, including the application of economic evaluation methods such as cost … effectiveness analysis, cost-utility analysis, and budget impact modelling to inform healthcare decision-making. Clinical background or background in life sciences. Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health - from mental and physical, to financial, social and environmental wellbeing. We support flexible More ❯

venture capital and strategic firms. Key Responsibilities: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilize econometric techniques like regression analysis, time series modeling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation … a clear and concise manner. Campaign Optimization: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimization, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Required Skills: Strong Econometrics Background: Expertise in statistical methods like linear regression, generalized linear models, panel … data analysis, and time series forecasting. Data Science Proficiency: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modeling, and visualization libraries. 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 More ❯

services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in depth insights with a focus on identifying trends. Have a … as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such as tenant satisfaction, void More ❯

services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in depth insights with a focus on identifying trends. Have a … as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such as tenant satisfaction, void More ❯

ideal candidate will be responsible for collecting, analysing, and interpreting energy consumption data to support strategic decision-making, sustainability goals, and cost-reduction initiatives. This role requires strong data analysis skills, knowledge of energy systems and markets, and the ability to present insights to technical and non-technical stakeholders. Key Responsibilities: Collect, process, and analyse energy usage data from … trends, technologies, and best practices. Qualifications: Bachelor's degree in engineering, Environmental Science, Data Science, Statistics, Economics, or a related field. Experience: 2-5 years of experience in energy analysis, data analytics, or sustainability-related roles. Familiarity with energy systems (HVAC, lighting, renewables, etc.) is preferred. Technical Skills: Proficiency in data analysis tools (e.g., Excel, SQL, Python, R … Power BI, Tableau). Experience with energy management systems, utility data platforms, or smart meter data. Understanding of statistical modelling, regression analysis, or forecasting techniques. 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 ❯

of professional experience as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regression analysis Experience in producing insights that led to measurable improvements, ideally in relevant domains such as fraud, AML detection, or operations … experience working with large, complex, and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders More ❯

haves: Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics). Experience with machine learning in academic or commercial settings. Strong grasp of probability, statistical significance, and regression analysis. SQL proficiency and experience with cloud-based data platforms. Location: This role is a remote-first role with travel to Janet Nash House in Durham and other CEF More ❯

haves: Degree in a quantitative field (e.g. Data Science, Applied Mathematics, Statistics). Experience with machine learning in academic or commercial settings. Strong grasp of probability, statistical significance, and regression analysis. SQL proficiency and experience with cloud-based data platforms. Location: This role is a remote-first role with travel to Janet Nash House in Durham and other CEF More ❯

ownership for cleansing and documenting existing datasets to support the maintenance and development of reporting and insights. Proficient in a wide range of skills, and expert in core data analysis and processing skills, using data to drive decision making via SQL, advanced Excel, APIs, Power BI/DAX, Python and database management Skills & experience Follows a methodical approach to … of turning data into business value through identification of trends or patterns. Analytical approach to work with high level of attention to detail. Strong understanding of statistical methods including regression analysis and sampling. Ability to communicate key findings effectively to both technical and non-technical stakeholders. Benefits & culture At Zellis we create market-leading HR & Payroll products and More ❯

or at client sites a minimum of three days per week. You'll make an impact by: Managing and Delivering an agreed portfolio of Consulting model development and quantitative analysis assignments, scoping and planning work, preparing or reviewing deliverables, setting and working to agreed budgets, managing risk and maintaining high levels of quality and good commercial outcomes. Completion of … associated documentation to a high standard is expected. Developing complex statistical models and tools; techniques including (inter alia) regression analysis, time series and survival analyses, Monte Carlo simulation. Coding and review of tools in modern computing languages (e.g. R, SAS or Python). Acting as an auditor's expert which may involve the development, review and testing of More ❯

You'll use your experience to date, to problem solve and ensure the best combination of tools and solutions are used for each project. You'll have exceptional data analysis skills and the ability to apply multiple types of data science. Excellent knowledge of statistics (hypothesis testing, regression analysis, ANOVA, etc) as well as experience of coding 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 ❯

knowledge, including large/automated data transfer, VPN technologies, and databases Good knowledge of data mining or machine learning testing, measurement and data processing techniques, signal processing, feature extraction, regression analysis Ideal - UK IMechE qualified or working towards; Mobius Institute Any Spanish and/or Portuguese language skills; PhD and or Masters degree. More ❯

As a Pricing Data Scientist, you'll be: U sing data to drive insights, build models, and business decisions that directly impact revenue and customer value. Conducting exploratory data analysis and statistically testing to understand pricing impacts and customer behaviour. Collaborating with cross-functional teams including Commercial, Finance, Marketing, and Product to shape pricing strategy. Monitoring and evaluating pricing … business needs. Your skills: 3+ years of hands-on experience in data science or analytics, with a focus on pricing, revenue optimisation, or similar. Strong statistical and modelling skills - regression, time series analysis, clustering, etc. Strong experimentation experience, frameworks (A/B testing, multivariate testing). Experience with pricing-related datasets and metrics (e.g., price elasticity, competitive pricing More ❯

complex, real-world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratory analysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for More ❯

complex, real-world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratory analysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for More ❯

RestSharp Test complex RESTful APIs , backend services, and UI workflows Integrate automated tests into Jenkins-based CI/CD pipelines Write and execute test cases for functional, integration, and regression testing Lead defect analysis and contribute to root cause investigations Skills Required: 7+ years in software QA with strong automation skills Hands-on experience with C# , Postman , RestSharp More ❯