1 to 25 of 43 Statistical Analysis Jobs in England with Remote Work Options

cross-platform and cross-media measurement approaches and learning agendas for our global clients - Conduct in-depth standard and custom ad effectiveness studies/analysis for our global advertisers to understand the relative impact of different marketing strategies across digital platforms and across media - Drive client, vertical, and industry … related field - An understanding of online advertising and familiarity with branding and performance advertising and marketing frameworks, including ad effectiveness measurement techniques - Experience with statistical analysis, including but not limited to experimental design, modelling, or advertising research - Experience building connections with customers and team members through effective communication more »

products, and partnerships.Requirements:Experience in research, analytics, or ad effectiveness.Understanding of online advertising, branding, and performance advertising frameworks, including ad effectiveness measurement techniques.Proficiency in statistical analysis, including experimental design, modelling, or advertising research.Excellent communication skills with the ability to explain complex topics to a non-technical audience and more »

quality and integrity Build, calibrate, and validate marketing mix models to assess the impact of different marketing channels on business outcomes Conduct in-depth statistical analyses to uncover patterns, trends, and opportunities for optimisation Communicate findings and recommendations to both technical and non-technical stakeholders through clear and compelling … reports Skills & Experience Experience in econometrics or marketing attribution Strong statistical knowledge Skilled in model development, particularly marketing mix models. Proficiency in statistical software such as R, Python, Eviews or similar Strong communication skills The Benefits £400-£450 per day, outside IR35 and an initial 3 month contract … please send your CV to Luke via the Apply Link on this page. Desired Skills and Experience - Experience in econometrics or marketing attribution - Strong statistical knowledge - Skilled in model development, particularly marketing mix models. - Proficiency in statistical software such as R, Python, Eviews or similar - Strong communication skills more »

services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »

services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »

on emerging trends and technologies in fraud detection and prevention Communicate findings and recommendations to stakeholders effectively Requirements: Strong background in data science and statistical analysis Ideally 3 years working in a data science role specifically within the fintech industry Experience working in the fintech industry, preferably with more »

analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers and business experts to scope and design the … Science tools and processes Experience with Azure, Amazon or Google cloud architecture Knowledge of the data landscape in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency more »

the proper quality standard/s and that safety requirements are met throughout the process. Analysing problems reported and developing improvements to overcome them. Statistical analysis of data and creation of reports for senior team based on quality documentation. Working closely with external partners and key stakeholders. Identify … and management. Good report writing and presentation skills, strong attention to detail and ability to present data effectively. Evidence of problem-solving root cause analysis and analytical skills. Proficient in MS Office software including Word, Excel, Outlook, PowerPoint & experience using Database/s. #LI-LB more »

As an international service provider for pharmaceutical research, Numerus provides high-quality statistical analysis as our contribution to improving healthcare through medicine. Headquartered in the UK, west of London, and with offices in Germany and Switzerland we are proud to be the analytical service provider of choice for … are actively looking to expand our team in Wokingham with a permanent position on a full or part-time basis. Your role: Applying innovative statistical approaches to solve novel data challenges Leading projects, ensuring efficient project management, compliance, and high-quality deliverables Analysing phase III clinical trial data in … order to support HTA submissions Providing statistical consultancy to internal and external customers Planning, analysing, and visualising observational and real-world data Supporting systematic literature reviews, data extraction, and analysis Critically appraising quality and reliability of data sources to support HTA decision-making Mentoring junior colleagues Contributing to more »

data modelling. A strong problem solving mindset. Experience working with Radar. Previous experience in the Insurance industry. Motor Pricing Knowledge. Responsibilities: Production of business analysis reports. Maintenance of analysis programs written in SAS, RADAR, and other software packages. Write new analysis code using SAS, RADAR, and other … EMBLEM, and other software packages. Monitor, maintain, update and improve existing predictive models. Produce timely and accurate information for management decision-making purposes. Apply statistical techniques including generalised linear modelling and non-linear methods to improve the performance of the company. Qualifications: Minimum 2:1 in a numerical undergraduate … discipline Strong background in statistical methods Experience of personal lines insurance analysis is an advantage Experience of SAS, Emblem, Excel and advanced statistical techniques Strong mathematical skills Strong problem-solving skills, with the ability to adopt a logical approach to solving problems Excellent data and statistical more »

/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and integrity of the data, detecting anomalies or discrepancies. • Your proficiency … in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical methods and algorithms tailored to project needs. • Prototype data models … to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel for data manipulation, analysis, and more »

currently in an exciting time of growth. THE ROLE As a Customer Analyst, some of your main responsibilities will be: Preparing and presenting compelling analysis findings to the senior management teams. Providing actionable insights of the back of analysis completed on customer and marketing data, using SQL. Own … projects end-to-end and manage the process. Work mainly on customer and marketing data sets looking at; customer LTV, churn, retention, marketing channel analysis, ROI etc. YOUR SKILLS AND EXPERIENCE A successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. … Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a STEM subject. THE BENEFITS A salary of £40,000-£45,000. Comprehensive benefits package. Lots of flexible working - remote first. Lots of ownership of projects. more »

sports betting models. Please do not apply if you don't have the experience* Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … MatPlotLib etc Experience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to more »

related field An understanding of online advertising and familiarity with branding and performance advertising and marketing frameworks, including ad effectiveness measurement techniques Experience with statistical analysis, including but not limited to experimental design, modelling, or advertising research Experience building connections with customers and team members through effective communication more »

to colleagues. Share your data insights with diverse audiences, adapting your communication style to match the stakeholder landscape. Person Specification: Essential: Develop effective data analysis specifications. Lead the design and analysis of intricate datasets, showcasing analytical skills. Possess a solid understanding of statistical principles, gained through qualifications … business context using various formats (reports, charts, infographics). Command advanced skills in Power BI for compelling data visualizations and/or SPSS for statistical analyses. Speak and write fluently in the language of data, effectively conveying complex analyses to diverse audiences. Foster relationships with internal and external stakeholders more »

Develop and implement data-driven solutions using machine learning, statistical analysis, and data visualization techniques. * Design, build, and maintain data pipelines and ETL processes to collect, process, and analyze large datasets. * Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. * Perform data … exploration and analysis to uncover insights and inform decision-making. * Create and deploy predictive models and algorithms to solve complex business problems. * Optimize and tune machine learning models for performance and scalability. * Develop and maintain documentation for data science processes, models, and code. * Stay up-to-date with the more »

the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee the collection, interpretation, and analysis of service performance metrics, such as response times, resolution rates, and customer satisfaction scores, to optimise service delivery and enhance customer experience. Develop and … and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations … of experience in a leadership role within a data-driven organisation, with expertise in service performance analytics and sales KPI monitoring. proficiency in data analysis tools and techniques, including SQL, Python, R, and statistical analysis software. experience in developing and implementing data strategies that drive business outcomes more »

solution delivery. The successful candidate(s) will be expected to: Lead commissions in area of efficiency & value identification, assurance & continuous improvement, construction economics research & analysis, and general data advisory services. Have experience in one or more of the following technical disciplines: Cost Model and/or Cost Estimate development … Statistical Analysis to support benchmarking and efficiency exercises Business Cases development and Cost Benefit Analysis Evaluation of strategic options to support investment decisions Design business models. Identify cost reduction opportunities through benchmarking and efficiency exercises Possess analysis capabilities which can be applied to client and industry … delivery Demonstrable experience and/or relevant qualification in one or more of the following: cost modelling, cost estimation, business case development, cost-benefit analysis or statistical analyses. Knowledge and interest in the infrastructure sector and its ongoing developments Strong capability in the Microsoft Suite of products Effective more »

shaping our data strategy, providing direction to our key products, and translating complex findings into compelling narratives.What you'll be working on:Leverage data analysis to inform decision-making and contribute towards improving Builder’s array of bespoke productsProvide insights across different business areas, contributing to the continuous improvement … BI tools (QlikSense, Tableau, Looker, or PowerBI) to develop and maintain dashboards, visualizations, and analytics support.Apply problem-solving skills to address challenges, using data analysis to arrive at effective solutions.Collaborate with cross-functional teams to align research, development, and execution initiatives with product priorities and goals.Requirements Strong Data Analysis … Google Analytics experience also beneficial) Proven understanding of website tagging and front-end development (e.g. Google Tag Manager, Segment, Snowplow)Proficiency with customer journey analysis and A/B testingKeen understanding for further data tooling and data sources that may complement understanding of relative product usage and performance (e.g. more »

services from Cloud providers (AWS, Azure, GCP). Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong more »

relevant field 1+ years experience Very strong Python and Python frameworks Ambitious, motivated, and excited to join a fast paced environment Prior experience with statistical analysis on clinical trials Data Scientist - Nice to Have Previous experience working in a start up (beneficial) Previous experience working in or knowledge more »

/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London - Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency … in statistical analysis, Datamodelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models to … tackle real-world issues and refine them as necessary. Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and modelling more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical more »

join a growing firm and be able to manage your own trading book. Responsibilities: Develop and implement quantitative trading strategies for equity markets Conduct statistical analysis, back testing, and optimization of trading models Collaborate other team members to optimize trading performance Monitor and manage trading positions and risk more »

services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong more »