1 to 25 of 26 Remote Statistical Analysis Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 … of the business. Qualifications 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 ❯

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 ❯

Job Title: Computational Scientist - Bioinformatics Location: Colworth Science Park JOB PURPOSE As a Bioinformatician at Unilever, you will utilise your scientific expertise in bioinformatics to conduct research and data analysis, advancing our product safety assessment methods. Based in the dynamic environment of our Safety, Environmental & Regulatory Science (SERS) team near Bedford, UK, you will join a team of bioinformaticians … have: A master's or PhD degree in bioinformatics, computational biology, statistics, data science or a related scientific discipline, or equivalent previous experience working in industry Demonstrated understanding of statistical analysis and application of mathematical techniques to complex biological data including microbiome data (shotgun, 16S rRNA) and human transcriptomic experiments (RNA-seq) Familiarity with common bioinformatics databases, resources … and tools in the microbiology and human biology areas, as well as experience performing biological network and pathway analysis and data interpretation Strong problem definition, solving and technical expertise with demonstrated programming skills in Python and/or R Problem solving skills in a fast-moving environment, keeping pace with advances in bioinformatics and to enjoy challenging goals High More ❯

focused on product experimentation and user journey optimisation. Key responsibilities include: Owning the end-to-end experimentation programme Developing tracking strategies and leading A/B test design and analysis Building insight into user behaviour to shape product strategy Conducting opportunity sizing and presenting to C-level stakeholders Supporting the wider analytics team with experimentation best practices YOUR SKILLS … AND EXPERIENCE Proven experience in product analytics and experimentation Strong SQL, plus Python or R for statistical analysis Hands-on experience with Mixpanel (or similar) and visualisation tools like Looker Strong communication skills - comfortable influencing senior leadership Marketplace or two-sided platform experience is a bonus BENEFITS £70,000 base salary, plus great perks including monthly credits, generous More ❯

do it well, with integrity and their future in mind. We are looking for a Member Performance Analyst to join our Performance Improvement team and be responsible for providing analysis against the performance frameworks (KPI), goals, user needs and benefits) and supporting changes to the framework and wider appetites. This role will be putting our members at the heart … influence strategic thinking to enhance the member experience while supporting an efficient operating environment. Our ideal applicant will have demonstrable experience in the delivery of business intelligence, data and statistical analysis and reporting. They will have experience of working with data visualisation tools (such as Power BI and Tableau) and strong SQL abilities including query build and using More ❯

the business Key Accountabilities • Partner with other support departments to discover and deliver projects that use data and statistics in identifying trends and optimisation to support decision making • Perform statistical analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue. • Deliver insights to drive business decisions and design algorithms that can be … an answer. • A sound understanding of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. • Experience using statistical software and programming using R, SQL, Python or similar in datasets. • Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations More ❯

engineering, model training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization More ❯

gathering from key stakeholders within the organisation Multiple project management portfolios Experience of developing, preparing and managing project plans through to completion. Strong experience of generating and and analysing statistical data reports. Strong knowledge of Statistical Analysis Excellent communication and presentation skills Azure DevOps Any Testing exposure would be advantageous Carbon60, Lorien & SRG - The Impellam Group STEM More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯

Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code reviews, testing, and debugging to ensure More ❯

you'll help deliver best-in-class portfolio management, drive innovation in our data capabilities, and ensure analytics are seamlessly aligned with our digital infrastructure. Key accountabilities: Deep dive analysis: Conduct deep-dive analysis into customer portfolio trends to identify root causes of debt accumulation, enabling preventative measures to be implemented. Create and refine predictive models: Develop and … financial modelling, preferably within a collections or customer income function. Strong background in applying data science techniques to real-world business problems, with demonstrable experience in predictive modelling and statistical analysis. Hands-on experience with SQL for querying, data extraction, and reporting, with a focus on efficiency and maintainability. Experience working in cross-functional teams, collaborating with stakeholders to More ❯

capable of serving millions of concurrent requests with single digit millisecond response times. We provide our users with a fully self service experience including comprehensive in-tool curation and analysis of experiments. We're also responsible for our platform's feature flagging capabilities, extending our experimentation platform to provide fully dynamic, user specific configuration to all clients, enabling a … optimising applications written for the JVM . Relational and NoSQL databases, particularly PostgreSQL, Aurora, & DynamoDB with experience modelling & optimising query performance. Kinesis or any other streaming data. Understanding of statistical analysis of data. Experience with or an interest in " DevOps " tooling & infrastructure as code. A strong understanding of continuous integration and continuous delivery practices. Demonstrable understanding of high More ❯

building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and management for machine learning pipelines. A data-driven approach with excellent skills in metrics and statistical analysis. Passionate about applying computer vision research to solve complex, real-world problems. The role is offering a base salary of £70,000 per annum + a wealth of More ❯