101 to 125 of 207 Statistical Analysis Jobs in the UK

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 … 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 ❯

experiences.This will allow the product analytics and experimentation and supporting data engineering teams to maintain accurate data sets, maintain data driven product decisions, and support an in house experimentation statistical engine.These data sets directly impact customer experience and are tied to business outcomes worth more than $200M of incremental value added per year. The successful candidate will need to … inform the scope and design of data needs, planning and being available for technical inquiries and support. Guide stakeholders through strategy, processes and create playbooks to support seamless product analysis (including experimentation). Own the design and enhancements of the product analytics mart which helps analyse and report on product analysis and experiment results in an automated manner. … NBCU's data governance standards and processes, ensuring fitness of data elements Qualifications Bachelor's degree in the field of computer science or engineering, or focus on data/statistical analysis or equivalent experience highly desired. Experience working as a Product or Data Engineering Manager role overseeing clickstream/product data. Experience operating in a large, complex organisation 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 ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

We are looking for a full-time Senior Data and Insights Analyst to join our Research and Intelligence team to lead on using data across the HFEA including in statistical reports and our award-winning dashboards, as well managing preparation of large and sensitive datasets for specific research purposes. The HFEA holds the longest running national dataset of fertility … datasets Knowledge of current best practice relating to information governance Experience Essential Extensive experience of working in a production environment encompassing change control and release management Extensive experience of statistical analysis in a healthcare or public-facing setting, preferably using administrative datasets Extensive experience in developing stored procedures and functions in SQL or similar Experience of Power BI More ❯

management skills, research skills and bolster your financial knowledge. The Role As an entry level Data Analyst, you'll play a key role in providing the numbers, algorithms, and analysis that make Bloomberg data the most sought-after data source in the world. You will enhance and report financial markets content for the Bloomberg Professional service (the Bloomberg terminal … that inspires news and analysis that empowers our clients to make better-informed decisions. Data Analysts also provide unparalleled customer service and solve complex issues, while building relationships with key market players in the financial industry. Your role starts off with the Global Data Training Program and then you will be placed into one of the following teams as … to adapt in a fast paced changing environment Ideally we are also looking for candidates to possess at least one of the following skills: - Knowledge in information technology or statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) - Effective project management skills and ability to prioritize tasks accordingly - Experience in Customer Service or Client Relationship Management More ❯

management skills, research skills and bolster your financial knowledge. The Role As an entry level Data Analyst, you'll play a key role in providing the numbers, algorithms, and analysis that make Bloomberg data the most sought-after data source in the world. You will enhance and report financial markets content for the Bloomberg Professional service (the Bloomberg terminal … that inspires news and analysis that empowers our clients to make better-informed decisions. Data Analysts also provide unparalleled customer service and solve complex issues, while building relationships with key market players in the financial industry. Your role starts off with the Global Data Training Program and then you will be placed into one of the following teams as … to adapt in a fast paced changing environment Ideally we are also looking for candidates to possess at least one of the following skills: - Knowledge in information technology or statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) - Effective project management skills and ability to prioritize tasks accordingly - Experience in Customer Service or Client Relationship Management More ❯

work in virtual, multi-national, multi-cultural, cross-company and cross-functional teams Familiar with financial market products and solid knowledge of the insurance/reinsurance industries Knowledge in statistical analysis and experience in processing large scale data sets Additional skills which are a plus: Working experience in various Cloud environments (e.g. AWS or Azure) Familiar with weather … and energy commodity markets, power and gas trading and data analysis Our company has a hybrid work model where the expectation is that you will be in the office three days per week. The base salary range for this position is between GBP 86,000 and GBP 128,000 (for a full-time role). The specific salary offered More ❯

AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops … Collaboration and Data & AI Tools: Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong relationships and facilitating productive … ensuring alignment with organizational objectives and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical tools. What's in it More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

Business Intelligence Design, develop, and maintain dashboards and self-service reports to empower procurement teams with actionable insights. Manage data from multiple systems, ensuring integrity, consistency, and accessibility. Provide statistical analysis, modelling, and KPI reporting (weekly, monthly, and quarterly) to support decision-making. Drive the development of a data warehouse and ensure it remains accurate and up to More ❯

trends, technologies, and best practices. 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 ❯

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 ❯

Experience: Microsoft Azure expertise primarily using Azure Machine Learning. Extensive experience with Azure ML Studio, ML Flow, Databricks, Propensity Models and Recommender engines. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with large data sets (real time, storage) from various data sources. Writing and reviewing data science code, proficient in Python, C#, SQL, R … or other programming languages for data analysis and machine learning. A background in data science or data engineering. Excellent communication skills. Strong appetite to work closely with customers. Additional Information Rate: £500-550 (dependent on experience) IR35: Outside Start date: July Initial Duration: 3-month initial sign up Location: Remote with occasional travel onsite in Basingstoke. All applicants must More ❯

existing data and build effective measurement frameworks to improve experience of our shoppers. Candidate should be able to use a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. He/She should be passionate about working with disparate datasets and be someone who loves to bring data together to … position represents an exciting opportunity to be a part of a dynamic and high paced environment. Key job responsibilities Conduct end to end deep dives using exploratory data and statistical analysis to create actionable insights Understanding of stats and ML Interface with cross functional stakeholders to gather data and metrics requirements. Developing interactive and flexible visualization dashboards, reporting … across products, to drive adoption and increase visibility into key measures of business performance. Data modeling, Data extraction through ETL and SQL BASIC QUALIFICATIONS - 3+ years of business analysis (dealing with large complex data) experience PREFERRED QUALIFICATIONS - Knowledge of SQL and Excel at a moderate or advanced level Our inclusive culture empowers Amazonians to deliver the best results for More ❯

analysis. - Excellent written and oral communication skills including an ability to communicate with cross functional teams (technical and business) and senior stakeholders. - Strong proficiency in SQL, Microsoft Excel and statistical analysis tools. PREFERRED QUALIFICATIONS - MBA or advanced degree. - Strong organizational and multitasking skills with ability to balance competing priorities. - Core Program and Project Management skills (regular updates, Program … flashes, data audits, review meetings, process audits). - Demonstrated experience in leading analysis, customer segmentation, and/or product behavior analysis. - Pricing Experience - An inherent learn and be curious nature, willing to jump into unexplored topics. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯

trading data from multiple exchanges and platforms using big data frameworks. Design and optimize real-time and batch processing pipelines for large-scale market data ingestion and analysis. Build statistical and machine learning models for anomaly detection, behavioral analytics, and alert generation. Ensure solutions are compliant with global Market Abuse Regulations (MAR, MAD, MiFID II, Dodd-Frank, etc.). … establish best practices for model validation and software engineering, with a focus on AI-assisted development. Integrate surveillance models with existing compliance platforms and workflow tools. Conduct backtesting, scenario analysis, and performance benchmarking of surveillance models. Document model logic, assumptions, and validation results for regulatory audits and internal governance. SKILLS Must have Technical Skills: 7+ years of experience Investment … not ad-hoc queries) for at least 2-4 years Familiarity with Cross-Product and Cross-Venue Surveillance Techniques particularly with vendors such as TradingHub, Steeleye, Nasdaq or NICE Statistical analysis and anomaly detection Large-scale data engineering and ETL pipeline development (Spark, Hadoop, or similar) Market microstructure and trading strategy expertise Experience with enterprise-grade surveillance systems More ❯

COMPANY We are working with a renowned business in the arts industry on a pivotal Analytics Manager hire. THE ROLE The successful Analytics Manager responsibilities will include: Lead the analysis of marketing campaigns (digital, offline, CRM) to measure ROI, effectiveness, and identify opportunities for optimisation. Build and maintain dashboards and reports that track key marketing KPIs (CAC, LTV, churn … conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. Present actionable insights and recommendations to senior stakeholders, influencing marketing … experience: Proven experience in Marketing Analytics, or a similar analytical role. Strong proficiency in SQL for data extraction and manipulation. Solid experience with Python or R for advanced analytics, statistical analysis, and modelling. Hands-on experience with marketing performance tracking, ROI analysis, and attribution methodologies. Experience managing - This role will include 3 direct reports. Experience working in More ❯

gains from proposed improvements Analyse our routes to identify inefficiencies in routing models and algorithms, helping our team to operate with precision and maximise impact. Build models and produce analysis to optimise the daily operation Collaborate with engineers and scientists to deploy your algorithms and models into production Translate operational and commercial constraints into model or algorithm improvements Bring … thoughtfully What we're looking for Academic or Industrial experience in Operational Research, specifically combinatorial optimisation and/or graph theory Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in an office environment, or as part of a team Python & SQL Analytical and problem-solving skills, with More ❯

in Data Engineering! Responsibilities: Develop and lead cutting-edge advanced analytics solutions for complex business problems. Mentor junior data engineers, providing guidance and support in their professional development. Perform statistical analysis, data collection, data mining, and text mining. Design, build, and manage solutions for advanced analytics projects. Utilize predictive analytics tools (SPSS) to draw conclusions and present findings. … organization Required technical and professional expertise Extensive experience with data engineering principles and advanced analytics techniques. Proficiency in programming languages (Python, R, SQL). Experience with data manipulation and analysis tools (Pandas, NumPy, Dask). Strong leadership and communication skills. Ability to lead cross-functional teams and manage stakeholder expectations As an equal opportunities' employer, we welcome applications from More ❯

Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. As the R Programming Lead , you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements. Responsibilities • Develop internal and external R packages for clinical trial analysis ( ADaM … tables, figures, listings). • Validate R packages. • Lead implementation in R and train other Biostatistics team members. • Conduct statistical programming work of clinical data using R. • Identifies problems and develops global tools that increase the efficiency and capacity of the Statistical Programming group. • Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs … including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statistical analysis using R. Strong skills in data visualization and data wrangling using R. Proficiency in using R packages More ❯