1 to 25 of 86 Statistical Analysis Jobs in the UK excluding London

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

Contract Data Analyst - Specialist in Behavioural & Statistical Analytics Location : Hybrid - Reading & London Day Rate : £450-£500 Outside IR35 Contract Length : 3-6 Months Start : ASAP A leading research and data-driven organisation is looking for a Specialist Data Analyst to join their behavioural insights function. This is not a junior or generalist role - they are seeking someone with deep … hands-on expertise in statistical analysis and behavioural analytics to support large-scale, human-centred research work. You'll play a pivotal role in uncovering complex patterns in behavioural data and translating them into meaningful insight. Key Responsibilities Lead sophisticated statistical analysis of large behavioural and marketing datasets (e.g. regression modelling, clustering, distributions). Apply behavioural … analytics frameworks to identify, explain, and visualise user trends and profile patterns. Use Python and SQL to automate analysis, build tools, and process complex datasets. Support research teams with data validation, insight generation, and hypothesis testing. Collaborate through in-person whiteboarding and analysis sessions in Reading and London. Essential Expertise Specialist-level experience in applied statistics - including modelling More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

work alongside world-class traders, technologists, and researchers to develop cutting-edge machine learning strategies. Responsibilities: Conduct advanced research to develop predictive models and high-frequency trading strategies. Apply statistical analysis, machine learning techniques, and mathematical modeling to large, complex datasets. Collaborate closely with trading and technology teams to implement and optimize models in live trading environments. Continuously … PhD in a highly quantitative field (e.g., Mathematics, Physics, Computer Science, Engineering, Statistics). Strong programming skills in C++ (Python experience is a plus). Solid background in data analysis, statistical modeling, and numerical methods. Proven ability to work with large datasets and develop innovative solutions to complex problems. Demonstrated interest or experience in machine learning applied to More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong More ❯

gather business demands, collect and process data, help to build business intelligence dashboards and provide valuable insights to support our digital transformation targets. Responsibilities: Responsible for data engineering and analysis in Sales, Manufacturing, Logistics fields. Discover potential demands and translate requirements into data-driven solutions with stakeholders. Design, build, and optimize scalable pipelines for ingesting, transforming, and integrating large … Computer Science or a related field. At least 3+ year IT experiences in data migration or data pipelines projects. Exposure to containerization/orchestration (Docker, Kubernetes). Experience of statistical analysis, Linux system, Pyspark, Git and SQL. Knowledge of ETL tools such as Apache Airflow, DBT. Familiarity with one of the major cloud platformsAzure (Devops, Databricks, or Data … AI projects. Model Frameworks: Proficiency in popular machine learning frameworks like Scikit-learn, PyTorch, and TensorFlow, with proven experience in environment setup and management. Technical Expertise: Strong understanding of statistical machine learning and deep learning techniques, especially for text, graph, and time-series data (e.g., OCR, NLP, sentiment analysis, forecasting). Experience with large language models (LLMs) is More ❯

the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

needs into data solutions, develop dashboards, and guide junior analysts. Key Responsibilities Design and execute complex data analyses to support business strategy and operations. Interpret data, analyse results using statistical techniques, and provide actionable insights. Collaborate with stakeholders to identify opportunities for data-driven decision-making. Develop and maintain dashboards and reports to track key performance indicators (KPIs). … infrastructure optimization. Required Qualifications and Experience: Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, Looker). Experience with statistical analysis More ❯

needs into data solutions, develop dashboards, and guide junior analysts. Key Responsibilities Design and execute complex data analyses to support business strategy and operations. Interpret data, analyse results using statistical techniques, and provide actionable insights. Collaborate with stakeholders to identify opportunities for data-driven decision-making. Develop and maintain dashboards and reports to track key performance indicators (KPIs). … infrastructure optimization. Required Qualifications and Experience: Bachelor’s or master’s degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, Looker). Experience with statistical analysis 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 ❯

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 ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have 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 ❯

Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands-on experience using data visualization tools Project, Issue, and risk management experience with strong ability to apply critical thinking & problem … solving skills, to drive solutions &helping to lead teams to successful outcomes. Strong experience working with technology platforms and systems used for the collection, analysis and reporting of data. Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional Planning and coordination skills. Experience working with cross-functional stakeholders and leading teams in a matrix environment … drug development processes Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Strong Knowledge of Monitoring and Risk-based Quality Management (RBQM)/Risk-Based Monitoring More ❯

machine learning techniques to transform raw data into strategic insights that drive business decisions and competitive advantage. To be successful as a Data Scientist, you should have experience with: Statistical analysis and modelling - Proficiency in applying statistical methods/modelling to data Programming in Python - Ability to code in python and contribute to codebases Data Manipulation - Experience … cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. … organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate More ❯

skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics … get involved in company-wide initiatives and developments; and contribute to internal and external meetings with ideas and suggestions. You must: have at least 3-5 years’ experience running statistical analysis on a range of data sources, especially survey data; have excellent communication skills and can easily and clearly explain complex concepts in plain English; have experience leading … what makes people, consumers and businesses tick; Technically, you are comfortable with supervised and unsupervised methods such as clustering and regression; Technical must-haves: You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise; You have experience running Segmentation projects using different clustering methods; You are expert with R and/or Python; Nice More ❯