1 to 25 of 53 Remote Statistical Analysis Jobs in England

like they belong. Job Responsibilities • Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. • Works to ensure that outputs meet quality standards and project requirements. • Performs validation programming and works with other Programmers, Biostatisticians, and other project … sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. • Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines allvariables to be accepted by peer review and sponsor … projects and initiatives as necessary to meet the needs of the business. • Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted. • Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on More ❯

Responsible for all statistical programming/data review reporting and analytics development aspects of several studies, a medium to large sized project or project-level activities. Acts as a key collaborator and strategic partner in ensuring that drug-development plans are executed efficiently with timely and high quality deliverables. Complies with project/study standards and specifications following internal … and regulatory guidelines. Oversees programming style, quality of statistical reporting & compliance with timelines. About the Role Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people's lives. To do this, we are optimizing and strengthening our processes and ways of working. We are investing in new technologies and building specific therapeutic area … and help give people with disease and their families a brighter future to look forward to. Apply today and welcome to where we thrive together! The Role The Principal Statistical Programmer is responsible for all statistical programming aspects of a large/pivotal study, several studies or project-level activities (incl. submission activities). The position is a More ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … processing and analysis Create compelling data visualisations and reports to communicate findings to both technical and non-technical stakeholders Mentor junior data scientists and contribute to the overall growth of the data science team Stay abreast of the latest advancements in data science and machine learning, incorporating new techniques and technologies as appropriate Contribute to the development of best More ❯

hand with internal and external research and development teams to design high impact pre-clinical, pivotal, and post-market research projects, oversee completion of data collection, and lead the analysis and dissemination of scientific communications. You will play a key role throughout the product lifecycle, collaborating with AI Scientists, Software Engineers, Product Teams, Marketing and Market Access, and Regulatory … diagnostic and prognostic tools into the clinical workflow. Your Responsibilities Lead in the development of research and development protocols, including literature reviews, data selection mechanisms, data management plans, and statistical analysis plans. Contribute to product design and subsequent market authorisation validation, including clinical and research design input Artificial Intelligence and Computer Vision (AICV) process. Contribute to statistical analysis of clinical and imaging data for diagnostic and prognostic research. Contribute to scientific communication to internal and external audiences, including company presentations, cross-departmental presentations, conference presentations, and scientific manuscripts. Support market access and business development activities to develop and refine clinical and business use cases, including return on investment and cost-effectiveness evidence Collaborate with internal More ❯

of the business line and translate that into insightful outputs that help the business move forward. You will collaborate with and leverage the team's business intelligence capabilities and statistical analysis to extract valuable insights and discover opportunities to support the business units. Additionally, you will work to ensure that all visualisations and communications are compliant with applicable … of the business line and translate that into insightful outputs that help the business move forward. You will collaborate with and leverage the team's business intelligence capabilities and statistical analysis to extract valuable insights and discover opportunities to support the business units. Additionally, you will work to ensure that all visualisations and communications are compliant with applicable More ❯

systems. Reporting : Contribute to the creation of risk reports and dashboards by preparing visualisations and summaries. Help tailor reports for different audiences, including operational teams and senior management Data Analysis : Perform preliminary analysis to identify trends and anomalies in risk and control data. Support the team in monitoring main risk and control indicators. Collaboration : Work with senior analysts … of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at . Experience and Skills What you'll bring: Numerical skills associated with statistical analysis, trend analysis, and data visualisation to identify key insights. Ability to deliver reports via analytics and reporting tools (e.g., Power BI, Tableau, Excel, SQL) Experience with More ❯

accuracy of risk reporting, identifying trends, and supporting risk-based decision-making across the business. Reporting to the Head of Business Control Testing. What you'll be doing: Data Analysis : Collect, clean, and analyze data from multiple sources to identify trends, patterns, and potential risks. Analyze important risk and control indicators to detect early warning signs Reporting : Prepare detailed … of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at . Experience and Skills What you'll bring: +3 years experience in statistical analysis, trend analysis, and data visualization to identify important insights. Experience in reporting tools (e.g., Power BI, Tableau, Excel, SQL) and familiarity with Governance, Risk, and Compliance More ❯

improve 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. … tools and techniques, such 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 More ❯

data-driven decision-making. Key Responsibilities Analyse and interpret complex datasets to support business decision- making. Develop and maintain dashboards and reports using Excel, Python, and SQL . Perform statistical analysis, including correlation, T-tests, and multi-variable regression , to identify trends and insights. Collaborate with cross-functional teams to support data-driven projects. Assist in automating data More ❯

customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and … experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. Design and develop ETL pipelines and workflows for data pre-processing. Develop automated tests to validate the processes and models you create. Collaboration & Communication: Collaborate with stakeholders to define project goals, requirements, and deliverables. Actively participate in design meetings … data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming languages such as Python or R; knowledge More ❯

read-outs Analysing large and complex global datasets, identifying trends, anomalies, and opportunities across financial and operational domains Supporting the Finance team in forecasting, scenario modelling, and business case analysis with data-backed insights Leading cross-functional analytics projects across markets, products, and business models, ensuring high analytical standards and storytelling Using enablement & storytelling to distill complex findings into … governance You will have Experience in an analytical role working with large, granular datasets Fluency in SQL for data extraction & transformation plus working knowledge of Python or R for statistical analysis are beneficial Advanced experience of at least one major BI platform (Tableau, Looker, Power BI, Rill, etc.) with a portfolio of interactive dashboards A proven track record … running or evaluating experiments A/B tests (power analysis, lift vs. confidence, segmentation) Domain exposure to Ad Tech (DSP, SSP, programmatic auctions) or financial/trading data would be preferred Comfort with high-velocity event streams and real-time metrics Solid grounding in classical statistics (hypothesis testing, regression, significance, p-value pitfalls) Ability to translate data into plain More ❯

proactive operations in the customer and vehicle domains. Pricing Modelling - Develop models that forecast trends, improve decision-making, and refine pricing strategies to drive revenue growth. Business Insights and Analysis - Conduct exploratory analyses to uncover opportunities, trends, and risks, providing actionable recommendations to leadership. Data Visualization and Reporting - Build and maintain dashboards in Tableau, leveraging multiple data sets and … data science, or related roles Proven track record of managing technical teams and delivering impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictive modelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong analytical and More ❯

London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … till bringing out the product to customers, and beyond. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of tensorflow/pytorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation More ❯

the drive to continuously improve processes. Bonus points for: Previous experience in business services or financial technology (FinTech), especially in areas like compliance, payments, or SaaS metrics. Exposure to statistical analysis or experimentation (A/B testing, cohort analysis, etc.). Familiarity with data pipeline tools (e.g., Airflow) and modern data stack concepts. Why join us Unique More ❯

the drive to continuously improve processes. Bonus points for: Previous experience in business services or financial technology (FinTech), especially in areas like compliance, payments, or SaaS metrics. Exposure to statistical analysis or experimentation (A/B testing, cohort analysis, etc.). Familiarity with data pipeline tools (e.g., Airflow) and modern data stack concepts. Why join us Unique More ❯

at Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that power … better outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and … of key business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations More ❯

business units for the creation of harmonized reports. Develop ideas to improve survey response rates and test new approaches. Find the best ways to visualize metrics and analyze the statistical link between marketing measures and financial performance. ABOUT THE ROLE: Manage the rollout of the VoC programme across countries and business units. Be the expert in the Forsta VoC … Collaborate with IT to extract customer data from CRM for surveys. Develop live dashboards to monitor scores in real-time and implement alert systems for low scores. Perform insightful analysis, including building text analytics models. Present results to stakeholders at all levels, tailoring content as needed. Build feedback mechanisms to ensure feedback is acted upon locally and at the … or relevant field. Minimum 5 years experience in Customer Experience or VoC roles. Healthcare/Pharma or B2B experience preferred. Expert in VoC tools (Qualtrics, Forsta). Strong data analysis and report creation skills using multiple data sources. CCXP certification is a plus. Project management experience. Proficient in data science techniques, including statistical analysis, text analytics, and More ❯

boundaries of predictive analytics, benchmarking, and machine learning in a purpose-driven environment, this role is for you. What You'll Do Lead data exploration, hypothesis testing, and advanced statistical analysis to drive product features and strategic decision-making. Design and implement robust benchmarking methodologies to compare performance across 200+ clinical and operational metrics. Build predictive insights that … the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills, plus experience building and deploying supervised and unsupervised models. Strong statistical knowledge, especially in benchmarking techniques and data normalization. Experience translating complex model outputs into clear, actionable insights for non-technical stakeholders. Familiarity with Power BI, ethical AI practices, and More ❯

IT skills, including Excel and database systems. Excellent analytical and numeric skills. Strong communication skills to convey complex data insights. Desirable Skills: Experience with healthcare information systems Knowledge of statistical analysis tools (e.g., R, Python). Understanding of NHS data governance principles. Why Join? This organisation is committed to investing in its people. You'll benefit from More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

global HR business processes, including strategy development, service delivery, human capital management technologies, with ability to translate business needs into technology requirements Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modelling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions Experience working with enterprise HRIS platforms (Workday, SAP More ❯

Location : Hybrid with occasional travel to a hub location Contract Type: Permanent Our Team The Model Risk and Analytics (MR&A) team work at the intersection of Data Science, Statistical Modelling and Economics, using data to support the business through model building or providing actionable insights from the data. We draw on statistical modelling techniques to produce the … predictive models. As a Modelling Analyst within the IRB and Decisioning Analytics team, you'll help to secure the foundations of our business decisions by providing quantitative and qualitative analysis across our regulatory model suites, providing solutions to support the acquisition of new business, risk-based account management and manage the bank's capital across its Retail portfolios. The … of distilling and interpretating complete data and analysis. • Good communications skills both verbal and written.• A team attitude with an enthusiasm to continually learn. • Ability to learn and apply statistical techniques and coding languages.• A passion for data. It's a bonus if you have but not essential • Experience in building trusted relationships with stakeholders. • Expertise in the use More ❯

and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. Building dashboards that is able to tell a story and provide the business with key … insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process. Supporting the team … the business. About You About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an More ❯

Engineering, ideally as part of a cross functional 'squad'. Experience working as either a Lead, mentor or manager within an Analytics team. Familiarity with multiple experimentation and experiment analysis techniques, including Bayesian and Causal Inference. Modeling Skills: Experience working on advanced modelling concepts. SQL and Statistical Analysis: Strong proficiency in SQL and statistical methods for … analyzing complex data sets. Proven experience in conducting impact analysis to assess viable opportunities and scoping their relevance. Track Record: A successful track record of managing complex projects that involve cross-functional teams and senior stakeholders. Highly autonomous and comfortable with accountability; experience working across all levels within an organisation. Behavioral Qualities: Strong commitment to team success and Lyst More ❯