18 of 18 Statistical Analysis Jobs in the South East

Contract Data Analyst - Specialist in Behavioural & Statistical Analytics Location : Hybrid - Reading & London Day Rate : £450-£500 Outside IR35 Contract Length : 3-6 Months Start : ASAP A leading research and data-driven organisation is looking for a Specialist Data Analyst to join their behavioural insights function. This is not a junior or generalist role - they are seeking someone with deep … hands-on expertise in statistical analysis and behavioural analytics to support large-scale, human-centred research work. You'll play a pivotal role in uncovering complex patterns in behavioural data and translating them into meaningful insight. Key Responsibilities Lead sophisticated statistical analysis of large behavioural and marketing datasets (e.g. regression modelling, clustering, distributions). Apply behavioural … analytics frameworks to identify, explain, and visualise user trends and profile patterns. Use Python and SQL to automate analysis, build tools, and process complex datasets. Support research teams with data validation, insight generation, and hypothesis testing. Collaborate through in-person whiteboarding and analysis sessions in Reading and London. Essential Expertise Specialist-level experience in applied statistics - including modelling More ❯

work alongside world-class traders, technologists, and researchers to develop cutting-edge machine learning strategies. Responsibilities: Conduct advanced research to develop predictive models and high-frequency trading strategies. Apply statistical analysis, machine learning techniques, and mathematical modeling to large, complex datasets. Collaborate closely with trading and technology teams to implement and optimize models in live trading environments. Continuously … PhD in a highly quantitative field (e.g., Mathematics, Physics, Computer Science, Engineering, Statistics). Strong programming skills in C++ (Python experience is a plus). Solid background in data analysis, statistical modeling, and numerical methods. Proven ability to work with large datasets and develop innovative solutions to complex problems. Demonstrated interest or experience in machine learning applied to More ❯

management information (MI) reports and present as required both internally and to clients Communicate with stakeholders to understand data content and business requirements Apply tools and techniques for data analysis and data visualisation Create and deliver internal reports to analyse and report insights Perform statistical analysis of data Use data mining to extract information from data sets … Monitor and audit data quality Required qualifications/Profile Degree qualification or equivalent in a relevant field such as mathematics, economics, statistics or computer engineering In depth knowledge of statistical methodologies and data analysis techniques A strong understanding of data sources, data organisation and storage Knowledge of relevant relational databases such as SQL Excellent IT literacy; experience of More ❯

customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and … experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. Design and develop ETL pipelines and workflows for data pre-processing. Develop automated tests to validate the processes and models you create. Collaboration & Communication: Collaborate with stakeholders to define project goals, requirements, and deliverables. Actively participate in design meetings … data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming languages such as Python or R; knowledge More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Data Scientist - Category Management : Partner with the Data Team to measure and report on availability levels and their impact … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯

boundaries of predictive analytics, benchmarking, and machine learning in a purpose-driven environment, this role is for you. What You'll Do Lead data exploration, hypothesis testing, and advanced statistical analysis to drive product features and strategic decision-making. Design and implement robust benchmarking methodologies to compare performance across 200+ clinical and operational metrics. Build predictive insights that … the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills, plus experience building and deploying supervised and unsupervised models. Strong statistical knowledge, especially in benchmarking techniques and data normalization. Experience translating complex model outputs into clear, actionable insights for non-technical stakeholders. Familiarity with Power BI, ethical AI practices, and More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing 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 ❯

and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high 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 ❯

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 ❯

use them. Stay up to date with changes in the Brandwatch tools, competitors and research industry. Role requirements: 4+ years of brand or consumer research experience or data/statistical analysis, preferably with exposure to social media research. Business-, marketing- and social media-savvy Expert in creating data visualisations, data storytelling, and creating a compelling story flow of More ❯

Linux and embedded software development. Experience with machine learning software techniques and classification methodologies. Experience and understanding of C++. Experience with Python or another software scripting language. Mathematical and statistical analysis skills. More ❯

queries received by phone and email Extracting data from the PACS/RIS systems to Radiology data management Day-to-day administration of the CRIS and PACS systems Basic statistical analyses Production of regular formal and informal reports About us J At UHSussex, diversity is our strength, and we want you to feel included to help us always put More ❯

manual assembly into scalable, automated solutions. Build, test, and optimize automation machines-from CAD and prototyping to troubleshooting on the production floor. Lead refinement of legacy automation systems using statistical analysis, DOE methodologies, and production feedback. Work with software, firmware, and data science teams to integrate computer vision and machine learning into real-world production workflows. Requirements Prior More ❯

equipment for measuring product features and advises on new test equipment purchases. Develops coverage and process plans for outsourced testing, defining reporting formats for external partners. Uses data and statistical analyses to identify complex problems or flaws affecting product design changes, and proposes solutions. Qualifications Required Qualifications: Bachelor's Degree in Electrical Engineering, Computer Engineering, Applied Science, Mechanical Engineering More ❯

be included in relevant hardware designs by applying an understanding of how moderately complex features or products work under a variety of customer scenarios. - Develops and implement data and statistical frameworks using programming language and relational database structures to manage products, identifying complex problems or flaws that may affect a feature or product design change. - Identifies possible solutions and … brings them to the attention of other engineers or team leads, managing product changes through change requests. - Uses root cause analysis to identify complex problems or flaws that may affect a feature or product design change. Identifies possible solutions and brings them to the attention of other engineers or team leads. - Contributes input to a single project implementation schedule … . - Identifies opportunities to affect downstream execution of projects by resolving issues and implementing design tradeoffs within scope (e.g., performance vs. reliability and manufacturing concerns). - Uses data and statistical analyses to make recommendations to optimize existing processes, or creates new processes that can be used by own team. Identifies common project risks (e.g., external supplier or partner delays More ❯