1 to 25 of 34 Statistical Analysis Jobs in England with Remote Work Options

advise on approaches for translating system definitions into detailed design specifications through to system testing. Your expertise in system architectural design, modelling, simulation, systems analysis, testing, statistical analysis, and reliability engineering will be key to guiding product manufacturing and deployment processes. Responsibilities: Collaboration with Systems Team: Oversee … to contribute to the development of comprehensive system design specifications. Utilise advanced modelling techniques to enhance the accuracy and completeness of system representations. Systems Analysis and Testing: Conduct thorough systems analysis to identify potential challenges and opportunities for improvement in the design and deployment phases. Design and implement … system testing strategies to ensure the reliability and functionality of the developed systems. Statistical Analysis and Reliability Engineering: Apply statistical analysis methods to evaluate system performance and identify areas for optimisation. Utilise reliability engineering principles to enhance the robustness and longevity of the deployed systems. Documentation 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 »

leverage your data science expertise to drive positive business impact, demonstrating experience in data preparation and EDA. You will use machine learning tools and statistical techniques to solve business problems and collaborate with non-technical experts to propose data-driven solutions. You will confidently present complex subjects to non … technical stakeholders. The ideal candidate will have advanced analytics and data science experience, successfully delivering data science projects. They will excel in data manipulation, statistical analysis, and implementing machine learning algorithms. Proficiency in BI tools (e.g., Oracle Analytics, Tableau), Python, and SQL is essential. Additionally, you will have … and development in their career. The Role: Leverage data science expertise to drive positive business impact Demonstrate experience in data preparation and exploratory data analysis (EDA) Use machine learning tools and statistical techniques to solve business problems Collaborate with non-technical experts to propose data-driven solutions Confidently 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 »

teams to create and deliver MI reports, dashboards, and solutions. You will be involved in the production of a portfolio of reports, ad-hoc analysis, and projects that will help the business make better data-led decisions and streamline processes. On top of generating business insights and presenting analysis … their requirements and provide data-driven insights to support decision-making processes. Ability to mentor and guide MI analysts, providing technical expertise in data analysis methodologies, tools, and best practices. Ensure data accuracy, consistency, and integrity by assisting in the user of data governance best practices and conducting regular … quality assurance checks. Stay up to date with emerging trends and advancements in the field of data analysis, and proactively identify opportunities to leverage new techniques and technologies to enhance analysis capabilities. Designing and implementation of new data models. Proactively identify opportunities for process improvement. Automation of all 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 »

/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 »

including complex queries and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and the ability to handle 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 »

Strong experience in Dimensional Data modelling, data warehousing, data processing (Map Reduce) Team Lead/Mentoring experience Expert in SQL and at least one statistical analysis programming language (R, Python or Julia) Proficient in at least one BI tool (Power BI, Tableau, Qlik Sense). Key responsibilities Manage … SQL Analytical programming language (Python (preferred), R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident … presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an agile team This is a Hybrid role and will require at least 1 day week, ideally two in the HQ in Exeter If you are a highly motivated more »

We are seeking a highly skilled Quant Analyst to join the London team. The ideal candidate will bring a wealth of experience in quantitative analysis, a deep understanding of financial markets, and a passion for leveraging data to drive trading strategies. This role involves close collaboration with various teams … optimise trading models and strategies. Here's what you'll be doing: Developing, implementing, and maintaining quantitative models for trading strategies. Conducting rigorous data analysis to identify market opportunities and risks. Collaborating with traders and other analysts to enhance trading algorithms. Utilising statistical and machine learning techniques to … sets. Continuously monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills you'll need: Strong background in quantitative analysis, finance, mathematics, or a related field. Track record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python more »

ideally Azure) and modern reporting/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to more »

of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate … flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and 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 »

of consumer and commercial lending topics. How you fit into each project will be different each time, but will include: - Quantitative and qualitative data analysis, including financial modelling and forecasting - Supporting and driving the delivery of client projects through the use of analytical tools - Helping design and build processes … at Grade A (or above) in Maths - An inquisitive, analytical personality with outstanding numerical capability - Desire to learn and use coding languages, such as Statistical Analysis System (SAS), Python, R or Structured Query Language (SQL), prior experience is beneficial but not essential - Strong written and verbal communication skills 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-£50,000. Comprehensive benefits package. Lots of flexible working - remote first. Lots of ownership of projects. more »

that support short term incentives and annual bonus plans as well as associated payments that form part of the annual reward cycle. Provides guidance, statistical analysis, data modelling and cost analysis as and when required. Deliver regular data reports that hold up to date information on the more »

and reporting automation initiatives. Requirements: Experience in Star Schemas and Tabular Modelling. Hands-on experience in implementing Power BI solutions for financial reporting and analysis, including dashboard design and data visualisation.. Understanding of a broader range of Microsoft and other solutions for use-cases for finance processes Knowledge of … in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to completion By applying you more »

processes.. Analytical Skills: Excellent problem-solving skills and attention to detail. Ability to interpret complex data sets and translate them into actionable insights. Strong statistical analysis skills. This role is hybrid 3 days onsite in Carlisle. Please note this client can't provide sponsorship more »

and maintain stringent risk management protocols to monitor and control the risk exposure of managed accounts, adhering to fund policies and risk tolerance. Performance Analysis: Conduct in-depth analysis of traders and strategies to guide capital allocation and risk management decisions. Team Collaboration: Work closely with the investment … risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with more »

role in the firm's expansion into the HFT space. Key Responsibilities: Develop and maintain automated futures and broader market forecasting strategies. Implement advanced statistical and machine learning techniques to identify alpha signals. Engage in the entire research cycle, including data gathering, idea generation, signal implementation, back-testing, and … algorithmic trading, particularly in high-frequency futures (equity or FI). Proficiency in programming languages such as Python, C++, or Java. Strong expertise in statistical analysis, machine learning, and data mining. Excellent problem-solving skills and the ability to think creatively and strategically. Effective communication skills and the 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 »

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 »

future for generations to come. Requirements Graduate in STEM related subjects (Science, Technology, Engineering & Mathematics) Relevant experience working with large data sets to provide analysis and insight Knowledge of legislation/guidelines for presentation of data for compliance products Proven experience in statistical analysis Good communication skills more »