51 to 75 of 204 Statistical Analysis Jobs in the UK

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 ❯

leverage this data to continuously enhance our tools and services. The team transforms abstract questions into quantifiable metrics and back into a story to make data driven decisions. Using statistical tools and deep analysis methods we are able to find some treasures and needle-moving insights within our data. We are looking for someone who is not afraid … Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams. Advanced SQL skills and experience with statistical analysis, particularly in dynamic environments with limited data Experience integrating qualitative insights with quantitative data to drive product strategy Experience with generative AI technologies - A plus Stock Options. 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 ❯

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 ❯

to improve the operational and quality metrics. Proficient using at least one data visualisation product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.) Experience in deployment of Machine Learning and Statistical models Building new Python utilities and maintaining existing ones Enabling more efficient adhoc queries & analysis Working closely with research scientists, business analysts and product leads to scale data … interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for 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 ❯

team lunches in our Soho office The opportunity to help build one of PropTech's most data-rich platforms from the ground up What You'll Be Doing: Data Analysis & Insights Analyse complex, multi-source datasets to uncover trends, patterns, and opportunities. Deliver clear, actionable insights to support fast, informed decisions. Maintain and improve reports and dashboards to track … teams to deliver measurable business impact. Nice-to-Haves: Python or R for deeper analysis. Familiarity with dbt and modern data warehouses (Redshift, Snowflake, BigQuery, Databricks). Experience in statistical analysis, experimentation, or A/B testing. Exposure to data governance best practices and documentation. What Success Looks Like Teams across Kato are making faster, better decisions thanks … background, and career goals, while giving you an overview of Kato and the role. Take-Home Task - 3 hours A realistic dataset and brief to showcase your data cleaning, analysis, and insight-generation skills. Technical Discussion with Head of Engineering - 90 mins - We will review of your take-home task and have a discussion of your technical skills, problem More ❯

innovating on behalf of our customers is at the heart of everything we do. As BIE you will work closely with our business and finance teams building analytical and statistical/machine learning solutions that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act … as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels across multiple … the business - Set up and maintain self-service infrastructure (e.g. dashboards) for the team - Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis - Proactively create new metrics that represent key inputs/outputs of the business - Support automation processes across the team - Lead large scale projects data and analytical projects that help 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 ❯

meet needs of the business o Analyze and solve problems at their root, stepping back to understand the broader context o Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation o Write high quality code to retrieve and analyze data o Learn and understand a broad range of Amazon's … and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

collaborating 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 … and budget optimization. Advanced Analytics: Explore machine 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 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

a track record of delivering data science projects. Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI … of DevOps practices and tools (e.g.: Git, Docker, Kubernetes). Familiarity with AI platforms and frameworks such as LangChain, Llamaindex and, HugginFace. Expertise in data manipulation, data visualisation, and statistical modelling libraries (e.g.: pandas, NumPy, Matplotlib, scikit-learn). Skills in data visualisation tools (e.g.: Tableau, PowerBI). Excellent problem-solving and analytical skills. Skills & attributes Passion for leveraging More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,,000 per annum. Permanent position with opportunities for More ❯

enjoys cross-team interaction. JOB DUTIES AND RESPONSIBILITIES Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyze calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyze and troubleshoot link-performance … . Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS). Experience in collaborative software design (GIT, code reviews). Experience in test automation. Linux and Windows experience. Statistical analysis and metrology. CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/ More ❯

with those objectives to meet business needs Analyze and solve problems at their root, stepping back to understand the broader context Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Write high-quality code to retrieve and analyze data Learn and understand a broad range of Amazon's data resources … and interpreting data with Redshift, Oracle, NoSQL, etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing, and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS, and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with … organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development More ❯

Build and maintain data pipelines and analytics solutions to track selection metrics across EU marketplaces • Create innovative dashboards and reporting tools to support selection growth strategies and catalog gap analysis • Collaborate with Product Managers and Data Scientists to develop selection guidance tools and frameworks • Support strategic decision-making through advanced analytics and data-driven insights • Drive automation and improvement … seller experience across EU marketplaces. BASIC QUALIFICATIONS - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯