126 to 150 of 290 Statistical Analysis Jobs in the UK

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. … 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 … 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 More ❯

have: An ability to apply logical, analytical, and innovative thinking on a range of technical problems. A proven ability to apply pre-processing techniques, statistical analysis, linear regression, and time-series analysis to industrial data. Preferable experience in Python Ability to visualise data appropriately and in a More ❯

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 More ❯

scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights • Knowledge of data governance and metadata management • Experience More ❯

delivery Ability to thrive in fast-paced environments and manage multiple priorities effectively 15 years of experience with RMS products Proficiency in data manipulation, statistical analysis, and business analysis techniques Excellent analytical, communication and organization skills Job Info Job Identification 19185 Job Schedule Full time Regular or More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … You Will Need: Bachelor’s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … You Will Need: Bachelor’s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … You Will Need: Bachelor’s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

learning engineers. As an AI Evaluation Scientist, you will play a critical role in evaluating and improving our AI-enhanced capabilities. Your expertise in statistical analysis and AI evaluation will ensure that our next-generation assessment solutions meet the highest validity, fairness, and regulatory standards. This role is … enhanced assessment technologies to ensure their accuracy, fairness, and explainability. You will work closely with validation specialists and machine learning engineers to implement robust statistical analyses and help develop innovative evaluation methods to help shape the future of AI-powered second language learning. Key responsibilities include: Conducting statistical … models using a range of methods, including methods relating to the domain of explainable AI. Proficiency in either Python or R for conducting complex statistical analyses (Python preferred). An ability and willingness to learn and apply new statistical approaches for addressing particular evaluation challenges. An ability to More ❯

takes to succeed: Good coding skills in Python or equivalent (ideally Java or C++). Hands-on experience in open-ended and ambiguous data analysis (pattern and insight extraction through statistical analysis, data segmentation, etc). A craving to learn and use cutting-edge AI technologies. Understanding More ❯

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 … 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 … 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 More ❯

questions using SQL, Excel, and other data manipulation languages. Maintain data integrity, perform QA Audits and diligently troubleshoot issues. Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets. Generate daily, weekly, and monthly data reports for both internal … 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 More ❯

connect brands with their ideal audiences while delivering transparency and performance at scale. Their products and services rely on intelligent features, in depth data analysis, and trained AI models. They even partner with industry leaders like Warner Bros, Pokémon, & Asics. We’re looking for a Sr. Data Scientist who … making and build industry leading data products. Responsibilities: Build new solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis Maintain and build upon our existing ML models and solutions Influence the direction of the company’s product & data strategy Synthesize analytics … and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists Work closely with the wider data science and engineering team as well as supporting and presenting to multiple stakeholders What we’re More ❯

connect brands with their ideal audiences while delivering transparency and performance at scale. Their products and services rely on intelligent features, in depth data analysis, and trained AI models. They even partner with industry leaders like Warner Bros, Pokémon, & Asics. We’re looking for a Sr. Data Scientist who … making and build industry leading data products. Responsibilities: Build new solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis Maintain and build upon our existing ML models and solutions Influence the direction of the company’s product & data strategy Synthesize analytics … and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists Work closely with the wider data science and engineering team as well as supporting and presenting to multiple stakeholders What we’re More ❯

connect brands with their ideal audiences while delivering transparency and performance at scale. Their products and services rely on intelligent features, in depth data analysis, and trained AI models. They even partner with industry leaders like Warner Bros, Pokémon, & Asics. We’re looking for a Sr. Data Scientist who … making and build industry leading data products. Responsibilities: Build new solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis Maintain and build upon our existing ML models and solutions Influence the direction of the company’s product & data strategy Synthesize analytics … and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists Work closely with the wider data science and engineering team as well as supporting and presenting to multiple stakeholders What we’re More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL). Modelling & Statistical Analysis experience, ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track record of using More ❯

with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models for performance and accuracy. Understanding of statistical analysis and experimental design. Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in More ❯

with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in More ❯

and external data and intelligence. In this role, you will contribute to the development and delivery of data, as well as the creation and analysis of Management Information (MI). Your work will inform strategic decision-making and support the implementation and optimisation of cutting-edge counter-fraud controls … Collaborate with Underwriting, Fraud Investigators, Claims, and Pricing teams to achieve key objectives. Qualifications Creative problem-solving skills using data. Proven ability to perform statistical analysis, either through education or work experience. Ability to clearly communicate complex issues. Competence in conducting analysis and presenting findings to non … small team environment. Good knowledge of programming skills (Python/SQL knowledge desirable) Knowledge of the insurance industry and experience in data or pricing analysis (Desirable). We're always looking to recognise and reward our employees for the work they do. As a valued member of The AA More ❯

or emerging issues within an area of technology or business function and evaluate their potential impact on, or usefulness to, the organisation. Perform complex statistical analysis and utilise mining, modelling, and testing techniques to enable data analysis. Collect business requirements using a variety of methods, such as interviews … document analysis, workshops, and workflow analysis, to express the requirements in terms of target user roles and goals. Discuss and recommend more complex or innovative technical developments to improve the quality of the website/portal/application software and supporting infrastructure to better meet users' needs. We More ❯

candidate will have commercial experience leading a team or working independently. Responsibilities: Take a lead role in the design and development of machine learning, statistical algorithms and solutions. Help clients realise the potential of data science, machine learning, and scaled data processing within the Azure ecosystem. Ownership for the … Microsoft Azure expertise primarily using Azure Machine Learning. Extensive experience with Databricks, ML Flow, storytelling tools and techniques. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with large data sets (real time, storage, and geo-spatial data). 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: ASAP. Initial More ❯

Researcher . The role involves developing advanced research and trading strategies across global equities, futures, and systematic macro asset classes. Key Responsibilities: Conduct advanced statistical analysis on financial data to identify and develop predictive models for trading strategies across various asset classes. Lead full-cycle quantitative research and … Statistics, Computer Science, Engineering, or related field). Strong programming skills in languages such as Python , C/C++ , or R . Experience with statistical modeling, time-series analysis, and machine learning techniques applied to financial markets. Ready to leverage your quantitative skills and make an impact in More ❯

takes to succeed: Good coding skills in Python or equivalent (ideally Java or C++). Hands-on experience in open-ended and ambiguous data analysis (pattern and insight extraction through statistical analysis, data segmentation etc). A craving to learn and use cutting edge AI technologies. Understanding More ❯

with other support departments to discover and deliver projects that use data and statistics in identifying trends and optimisation to support decision making. Perform statistical analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue. Deliver insights to drive business decisions and … across the company. Design and build internal self-service analytics and experimentation tooling. Experience & Skills Required A Master's degree in a quantitative or statistical subject. An ability to articulate and interpret commercial-based questions, identifying and querying data (SQL) and using statistics to arrive at an answer. A … of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. Experience using statistical software and programming using R, SQL, Python or similar in datasets. Excellent communication skills to be able to understand business needs of cross-functional More ❯