1 to 25 of 49 Remote/Hybrid Statistical Analysis Jobs in the UK excluding London

long-term partnerships, Veramed brings the right minds to every challenge. The Role The purpose of this role is to provide high‐quality statistical support. As a Senior or Principal Statistician, you may also take on a supervisory role, including line management and/or project leadership, depending … someone with significant experience in clinical studies and regulatory submissions, who is comfortable working directly with clients - including situations where there is no internal statistical support. You will be confident working independently, managing your own workload, and contributing across multiple projects and clients. Strong communication skills are essential, including ...

long-term partnerships, Veramed brings the right minds to every challenge. The Role The purpose of this role is to provide high‐quality statistical support. As a Senior or Principal Statistician, you may also take on a supervisory role, including line management and/or project leadership, depending … someone with significant experience in clinical studies and regulatory submissions, who is comfortable working directly with clients - including situations where there is no internal statistical support. You will be confident working independently, managing your own workload, and contributing across multiple projects and clients. Strong communication skills are essential, including ...

languages: SQL, Python, RCloud computing platforms: Azure, AWS, GCPExperience in any aspects of the data analytics lifecycle, for example:Data StrategyData Manipulation and ETLData Analysis & VisualizationApplying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

make a significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency … world-class operation to drive continuous improvement. Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you...... Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Physics etc. Proficient ...

this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages.The ideal candidate will have endless curiosity and can pair a global … Roku? At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used ...

project performance indicators and identify trends, deviations, and improvement opportunities.Present clear and actionable insights to stakeholders to enable effective project governance decisions.Data Modelling & Analysis:Develop descriptive and predictive analytics models to assess potential project outcomes based on current data and trends.Risk & Performance Management:Collaborate with the risk management team … Familiarity with project controls disciplines such as cost control, scheduling, and risk management.Understanding of Earned Value Management (EVM) and techniques like cost forecasting, variance analysis, and benchmarking.Qualifications & ExperienceBachelor’s degree in data science, Engineering, Project Controls/Management, Finance, or a related discipline.Professional certifications (e.g., AACE ...

intelligence role responsible for leading the development, delivery and improvement of health intelligence, insight and research programmes across Slough. The postholder will provide expert analysis, interpretation and evidence-based advice to support strategic planning, commissioning, policy development and service improvement across the Council and wider health and care system.The … role focuses on embedding an insight-informed decision-making culture by using epidemiology, data science, statistical analysis, qualitative insight and data visualisation to understand local population needs, reduce health inequalities and improve health and wellbeing outcomes for residents. A key part of the role is leading health intelligence ...

intelligence role responsible for leading the development, delivery and improvement of health intelligence, insight and research programmes across Slough. The postholder will provide expert analysis, interpretation and evidence-based advice to support strategic planning, commissioning, policy development and service improvement across the Council and wider health and care system. … role focuses on embedding an insight-informed decision-making culture by using epidemiology, data science, statistical analysis, qualitative insight and data visualisation to understand local population needs, reduce health inequalities and improve health and wellbeing outcomes for residents. A key part of the role is leading health intelligence ...

this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair … ability to respond quickly to changing business needs. This role requires hybrid working from the Roku Manchester office. What You'll Be Doing Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models. Train ...

planning and operational decision making Assess the impact of new processes, systems and technology using data before and after implementation Develop cost and benefit analysis to support business cases and proposed changes Identify opportunities to automate data collection, cleansing, reporting and visualisation Work closely with operational, product and technology … teams Present findings clearly to both technical and non-technical stakeholders, including senior management Help turn complex analysis into straightforward information that teams can act upon Ensure recommendations consider customer experience, efficiency, cost and commercial impact What we are looking for You should have at least two years' commercial ...

Water in cross-sector innovation and academic communitiesWhat skills & qualifications you will need:Degree in a numerate subject (e.g. Mathematics, Statistics)Proven experience in statistical analysis and data science, ideally within the water industry or similar sectorsStrong programming skills in Python, R, and SQLExperience working with cloud platforms ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

business. You'll be responsible for: Analysing large and complex datasets to generate actionable customer insights Building data marts and analytical models Using statistical and machine learning techniques, including regression and clustering Presenting findings clearly to senior stakeholders and influencing data-driven decisions Working collaboratively across teams to identify … opportunities for optimisation About you: 3+ years' experience in statistical analysis and data visualisation Strong SQL and experience with Python and/or R Knowledge of advanced analytics and machine learning techniques Excellent communication and stakeholder management skills A curious, analytical mindset with strong attention to detail Location ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 09/09/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 10/06/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

Principal Scientist or Associate DirectorPosition Location: Cambridge, MA HybridKey responsibilities:Lead data science strategy and execution for hypothesis-driven discovery programs, including study design, analysis of experiments, and interpretation of complex biological datasets.Drive multi-omics analytics across genomics, transcriptomics, proteomics, single-cell, spatial, imaging, clinical, and other relevant data … modalities to support target and biomarker portfolios.Translate scientific questions into computational strategies, selecting fit-for-purpose statistical, machine learning, AI, and bioinformatics approaches.Operationalize responsible use of generative and/or agentic AI tools in drug discovery workflows, ensuring scientific rigor, data governance, and appropriate human oversight.Contribute hands-on technical ...

governance and data quality standards Develop KPI frameworks and reporting standards to ensure consistent measurement across the business Deliver customer segmentation, profiling and performance analysis to support growth and retention strategies Partner with commercial, marketing and leadership teams to translate insight into action Promote best practice in analytics, data … model development Strong SQL skills and experience working across multiple data sources Experience designing KPI frameworks and performance measurement methodologies A strong understanding of statistical analysis and its application to commercial challenges The ability to communicate complex findings clearly to both technical and non-technical stakeholders A commercially ...

practice across the wider analytics community. The Role This is a Senior Product Analytics position with a strong focus on behavioural analytics, experimentation and statistical analysis. You'll take ownership of analytical projects from discovery through to implementation, helping Product and Engineering teams make better commercial decisions through data. ...

Demand Planner will own the end-to-end demand planning process for assigned markets, categories and customers across the HPC Division, developing accurate unconstrained statistical and collaborative forecasts using multiple data sources, business intelligence and commercial insight. The role will lead demand reviews with Sales, Marketing and Commercial teams … efficiency. Using SAP, SAP S/4HANA, SAP IBP, Excel and Power BI, you’ll provide clear insight through forecasting, reporting and KPI analysis, while supporting wider planning projects and continuous improvement initiatives. Key Responsibilities Own end-to-end demand planning for assigned markets, categories and customers. Develop accurate ...

equivalent.Practical experience with Python and good practice tools and processes for developing high quality codeFamiliarity with common Python libraries for data management, statistical analysis, machine learning.Experience with popular machine learning frameworks such as TensorFlow and PyTorch.Strong understanding of statistics and probability.Strong knowledge of the machine learning lifecycle, from ...

imaging data and collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.Stay current with advances … Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

innovation testbeds. You will work as part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Requirements Proven experience … etc. Ability to conceptualise data architecture and design around requirements of multiple stakeholders. Experience in backend or frontend development frameworks . Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience creating and maintaining digital infrastructure ...

modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. Manage project prioritization ...

Lead product analytics projects from problem definition through to recommendation Design, analyse and evaluate A/B tests and experimentation frameworks Apply statistical techniques and modelling to solve product challenges Analyse customer and user behaviour using rich event-level data Partner with Product Managers, Engineers, Marketing and senior stakeholders … Skills & Experience Strong SQL skills Python (PySpark experience is beneficial) Experience in Product Analytics Strong knowledge of A/B testing and experimentation Excellent statistical analysis skills, with exposure to modelling techniques Experience analysing behavioural or digital product data Ability to communicate insights to both technical ...