1 to 25 of 92 Permanent Statistical Analysis Jobs in the UK excluding London

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … processing and analysis Create compelling data visualisations and reports to communicate findings to both technical and non-technical stakeholders Mentor junior data scientists and contribute to the overall growth of the data science team Stay abreast of the latest advancements in data science and machine learning, incorporating new techniques and technologies as appropriate Contribute to the development of best More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong More ❯

new role As a Business Intelligence Data Analyst, you will transform raw data into actionable insights to inform business decisions and monitor performance. You will lead the full data analysis lifecycle, from requirements analysis and data modelling to designing reusable metrics and front-end report development.A crucial part of your role is ensuring that key metrics and findings … Oversee and improve existing business insights reports, ensuring data accuracy and integrity. Design and build reports, dashboards, and analytical solutions using SQL, Power BI, and other tools. Perform advanced statistical analysis and interpret trends in large datasets. Extract and prepare data for regulatory submissions and external reporting. Provide expert guidance on data queries and support ad-hoc reporting … or DataBricks is preferred. Expertise in T-SQL to write complex queries and stored procedures. Understanding of database optimisation, data mining, auditing, and segmentation. Skilled in data visualisation and statistical techniques such as linear regression. Ability to conduct user acceptance testing and ensure data integrity. Confidence to challenge existing processes and recommend improvements. Effective communication skills and the ability More ❯

purpose of this role is to have a good grasp of the operational sectors to which you contribute to, as well as a high level of expertise in data, statistical analysis methods and data visualization. You wield IT tools, techniques and statistical methods to efficiently organize, synthesize and translate data and extract meaningful, actionable information from it … and agreeing solution options Creation and maintenance of data extracts, consolidation dashboards and reports to support key business use cases Building and monitoring of key performance indicators Carry out statistical analysis and data visualization Provide analytical support for the exploration and complex analysis of data Organize, summarize and translate information to facilitate decision-making Undertake analytical activities … equivalent relevant work experience Demonstrable experience in using SQL and other programming languages such as python and R Good working knowledge of Power BI or similar reporting and data analysis tools Good understanding of ERP tool concepts and the data used to support their operation Ability to manage and prioritise stakeholder expectations at all levels ranging from end user More ❯

powerful software suite used for advanced analytics, business intelligence, data management, and predictive analytics. Learning SAS is particularly valuable, as it is widely used across industries for advanced data analysis, enhancing your employability and career prospects. You'll also enhance your business acumen through engaging case studies and professional development workshops. R and Python each have their unique strengths. … R excels in statistical analysis and data visualisation, offering powerful libraries for complex modelling. Python, on the other hand, is versatile and integrates well with various technologies, making it suitable for data manipulation, machine learning, and automation. Power BI is an industry standard business intelligence solution widely adopted by organisations to enable the creation of interactive visualisations and More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

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 ❯

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 ❯

driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and … to both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day More ❯

PowerBI, Tableau or Looker). Building interactive data dashboards and reports using Power BI or Tableau. Extracting, cleansing and modelling data from multiple sources to develop clear data insights. Statistical analysis or predictive modelling experience preferred. Working with key stakeholders to scope data requirements + define data solutions. Driving continuous improvement in data analytics processes + data governance … policies. Mentoring junior data analysts, data governance + establishing best practices for data analytics. Advantageous: cloud platforms (AWS, Azure, GCP), Python/R data analysis, Rail industry experience. Benefits include: 20 days holiday (plus BHs) + pension + healthcare + bonus + More More ❯

stakeholders, you'll lead efforts to transform and standardise complex healthcare datasets, enabling high-quality analytics, research, and innovation. To succeed, you'll bring deep expertise in data engineering, statistical modelling, and SQL-based transformation frameworks, along with experience delivering actionable insights from real-world clinical data. Main duties of the job You will be responsible for delivering a … and mentor colleagues to help them reach their full potential, while ensuring data science activities are completed within agreed timescales. You'll take the lead on all aspects of analysis and reporting, including integrating, transforming, and consolidating data from various structured and unstructured sources into formats suitable for advanced analytics. You'll help stakeholders understand and explore data, building … a proactive, effective, and high-quality data science service. Ensure that the Data Science business is delivered to agreed timescales, taking the lead in relation to all aspects of analysis and reporting. Responsible for integrating, transforming, and consolidating data from various structured and unstructured data systems into structures suitable for building analytics solutions. Responsible for helping stakeholders understand data More ❯

maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell the story and let the … data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. Minimum Requirements: 3+ years of analyzing and 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 modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using 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 ❯

data visualisation platforms (e.g. Power BI, Looker) and also using AI tools and D3.js) • Strong programming skills in relevant languages (Python, DAX, SQL) with experience in data manipulation and statistical analysis • Solid understanding of data architecture principles and cloud-based analytics platforms • Knowledge of web technologies (HTML, CSS, React/Vue) for custom visualisation development Design & User Experience More ❯

This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or people … leadership position as the function scales. Key Responsibilities Analyse customer behaviour across the platform to support commercial growth and marketing optimisation. Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and … senior stakeholders to translate insight into business action. Support marketing measurement, frequency analysis, churn reduction and commercial opportunity assessment. Collaborate cross-functionally with data engineering, product, and commercial teams on high-impact projects. Present clear, actionable insight to both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced More ❯

and analyse clinical and performance data from gait lab assessments and prosthetic/orthotic devices as part of product trials and internal research studies. Using machine learning tools and statistical techniques to provide novel solutions to problems. Providing expertise in the creation of algorithms and machine learning models to support clinician use cases and improve clinical outcomes for patients … teams. Contributing to scientific publications, whitepapers, and conference presentations. Ensuring data handling is compliant with regulatory standards (e.g., GDPR, ISO 14155). Supporting internal product validation processes through robust statistical analysis. Participating in risk analysis and usability assessments where relevant. Writing documents and reports to provide insights and information to key stakeholders Applying appropriate controls on the access … skills BSc in Data Science/Biostatistics/Biomedical Engineering/Biomechanics Proven experience working with structured and unstructured data. Proficiency in Python, MATLAB, R, SQL or similar data analysis languages. Experience working with biomechanical or wearable data (e.g., gait analysis). Experience working within cross-functional teams. Strong analytical and problem-solving abilities. Ability to communicate complex More ❯

at Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that power … better outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and … of key business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations More ❯

Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: You'll use machine learning and statistical modelling tools to generate customer, marketing, and commercial insights, which in turn will inform marketing strategy, pricing & product development for the business. You'll identify efficiencies in the use … and models to understand how changes in metrics in one area of the business impact other areas. What you'll have: Experience in using R, Python, or a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and deploying predictive models More ❯

goals. Major responsibilities • Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic • Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering • Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap • Establish scalable, efficient … highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building - Strongly motivated More ❯

goals. Major responsibilities • Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic • Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering • Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap • Establish scalable, efficient … highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building - Strongly motivated More ❯

or GCP) Strong experience deploying and monitoring machine learning (MLOps), using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning Experience in relevant Data Manipulation, Machine Learning and Statistical Analysis coding packages (eg. in Python: NumPy, Scikit-Learn, Pandas, Matplotlib etc.) Strong skills in data exploration, cleansing, modelling and presentation Strong experience in testing data models and More ❯

Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy • Guide teams to develop metrics and run impactful A/B experiments • Partner with senior stakeholders to translate business … requirements into technical solutions Hands-On Technical Delivery • Build and maintain ad-hoc data analysis leveraging Excel, Python or SQL in accordance with the task size • Design scalable data processes to support business operations • Monitor and evaluate performance of existing models and drive continuous improvement • Own end-to-end lifecycle of data products from scoping to delivery and iteration … Data and Analytics experience in a similar role • Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous More ❯

Data & Analytics team and different business stakeholders Strategic Analytics & Insights • Improve and run advanced Python-based machine learning models utilised for prediction of customer engagement • Apply expertise in quantitative analysis and data mining to understand customer behaviour and inform strategy • Guide teams to develop metrics and run impactful A/B experiments • Partner with senior stakeholders to translate business … requirements into technical solutions Hands-On Technical Delivery • Build and maintain ad-hoc data analysis leveraging Excel, Python or SQL in accordance with the task size • Design scalable data processes to support business operations • Monitor and evaluate performance of existing models and drive continuous improvement • Own end-to-end lifecycle of data products from scoping to delivery and iteration … Data and Analytics experience in a similar role • Ideally 2 years in a team leadership role or similar mentorship experience • Strong proficiency in Python and SQL • Good understanding of statistical methods and machine learning techniques with an ability to create both proactive and reactive analytical solutions to cover all aspects of the data function with a view on continuous 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 ❯

AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to address business problems Present information using data visualization techniques Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted … lifecycle. Stay informed on new technology trends and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight More ❯