1 to 25 of 32 Statistical Analysis Jobs in the South East

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

client issues, usability gaps, or additions to modelling features Define tests to ensure that model updates and features meet quality expectations before client release Apply advanced analytics techniques (e.g. statistical analysis, visualisation, sensitivity testing) to help interrogate, validate, and interpret model outputs Support internal and external clients by answering technical product queries, analysing model behaviour, and gathering structured … and evidence of strong academic performance (First, 2:1 or similar) in a quantitative or technical discipline 1-2+ years of experience in a role involving complex data analysis, modelling, or product development (e.g. in energy, software, finance, or consulting) Proficiency in at least one programming language commonly used for analysis (e.g. Python, R, MATLAB) Demonstrated ability More ❯

managing P&L responsibility, and driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement More ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data … Experience Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regression analysis including MMM and A/B Testing Strong verbal and written communication More ❯

design spaces, and deliver insights that directly influence our software, hardware, and optical roadmaps. This role sits at the crossroads of hardware architecture, software tooling and machine-learning workload analysis, perfect for an engineer who loves data-driven decision-making and fast iteration. Responsibilities Functional Simulator: Design, build, and maintain a functional simulator of the OPTU subsystem and full … pipeline. Performance Simulator: Design and maintain architectural & cycle-accurate models of the OPTU subsystems and pipeline. Identify throughput, latency and utilisation hot-spots; propose architectural, or scheduling fixes. Workload Analysis & Bottleneck Hunting: Instrument benchmarks (LLMs, diffusion, graph workloads) to collect detailed traces. Design-Space Exploration: Run massive parameter sweeps with your functional and to understand tradeoffs and guide the … software, hardware, and optical teams. Package results into clear, quantitative analyses and design recommendations. Tooling & Automation: Develop Python/C++ tooling for trace parsing, statistical analysis and visualisation. Integrate models into CI so that every RTL commit gets a performance smoke test. Skills & Experience 3+ years building performance or power models for CPUs, GPUs, ASICs, or accelerators Strong More ❯

using health-related observational and clinical trial data under one client portfolio. It is important for this individual to have knowledge in observational research and psychometric methodologies, a strong statistical programming skillset, and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and act as the stewards of the client … s best practices, standards, and methodologies underlying the use of real-world data (RWD). Essential Functions Develop statistical analysis plans for descriptive and complex statistics in studies using RWD and clinical trial data for PRO/COA psychometric endpoint research questions Mastery in both classical and modern test theories and PRO/COA validation to program analytics … Support integration of PRO clinical trial results into value dossier and regulatory submission packages Lead development of statistical programs using SAS for regulatory and non-regulatory submissions (pre-defined and post-hoc) Implement CDISC standards as required for project deliverables Conduct QC programming for descriptive and complex studies in RWD Contribute to writing study reports and use of visualization More ❯

and build out the systematic infrastructure within the business. Key Responsibilities: Quantitative Research & Strategy Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and … Economics, Finance, Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

and will be based at the client's site in Surrey, which is commutable from London, Oxford, Reading and Guilford. The purpose of the role is to perform bioinformatics analysis and software support for genomics/systems biology projects, assisting in development, test and maintenance of modular software pipelines, providing daily data analysis, preliminary interpretation of the data … of notebooks (R markdown/Jupyter) Experience in data mining, working with large datasets such as DNA- and RNA-sequencing, epigenomic, proteomic and protein-protein interaction data Experience in statistical analysis and handling of large data sets The ability to analyse and interpret bioinformatics data in the context of biological pathways and networks Ability to work in a More ❯

our client at conferences. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

qualifications, along with Team Management & Leadership experience preferred Demonstrable Data & Analytics market insight and expertise, alongside deep industry and sector knowledge Advanced analytics understanding and demonstrable expertise - predictive modelling, statistical analysis, and machine learning Experience conducting quantitative and qualitative analysis with visualisation and analytics techniques to solve defined business problems Strong communication skills including the ability to More ❯

audience would be highly desirable. § Google Analytics Individual Qualified (Valid GAIQ) § Google Adwords certified § Advanced GTM tagging and tracking knowledge (desirable) § Advanced Microsoft Excel experience. § Proven experience of advanced statistical analysis such as regression. § Foreign language skills are desirable Salary will dependent on skills but probably in the range of £30K - £40K plus benefits. Please send your CV More ❯

insights. - Stakeholder Engagement: Communicate effectively across technical and non-technical teams. - Data Engineering: Basic skills in SQL and big data tools (e.g., Athena). - Experimentation: A/B testing, statistical analysis, performance metrics. - Compliance: Knowledge of data privacy (GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps). Essential Skills & Experience More ❯

NHS Foundation Trust (UHSx) as a Workforce Planning & Deployment Specialist. You will be a key role within the workforce planning function and be responsible for providing high quality reporting, analysis and presentation of complex medical and non-medical workforce deployment information. You will utilise a variety of rostering and HR systems providing an integrated approach to workforce planning and … of the job • Responsible for supporting the medical & non-medical rostering & deployment teams by creating a suite of reports & dashboards for operational & clinical leaders, divisions & corporate teams • Provide data & statistical analysis relating to the management & deployment of our medical & non-medical workforce • Produce regular & ad hoc reports as required from a range of HR systems • Analysing & interpreting highly … the Trusts 5 year strategy. For full responsibilities please see attached JD & Person Specification Person specification Experience/Qualifications In-depth specialist knowledge of data manipulation, statistics and critical analysis acquired through an undergraduate degree or equivalent gained through qualifications and relevant experience In-depth, specialist knowledge of data (including data extraction, validation, manipulation, analysis and interpretation) in More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯

Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care. The Opportunity: We have an exciting opportunity for a Statistical Programming Lead to join our new hub Data Science team in the UK to work within our established Data Science/Statistical & RWD division on a global scale … alongside over 200 team members internationally. As a Statistical Programming Lead, you will be responsible for programming vendor oversight for assigned compounds and contributing to functional/departmental infrastructure projects. You will also be assigned to the most complex tasks, offer training/mentoring to other programmers, and lead assigned Statistical Programming and Data Science strategic objectives and … drive implementation of relevant functional objectives. Key Activities for this role: Is responsible for the production of high-quality, on-time statistical programming deliverables (such as datasets and tables/listings/figures (TLFs). Ensures that integrated programmed deliverables are ready to be used in regulatory submissions and follow Astellas, industry and regulatory standards. Directly leads the internal More ❯

ensuring that they meet defined optical specifications and quality standards. Establish testing protocols for various stages of development. Implement process control techniques to ensure production consistency. Collect and perform statistical analysis on metrology data to identify trends, variances, and correlations to performance metrics. Analyze measurement data and correlate results to key performance indicators (KPIs). Produce comprehensive reports … and production) to identify areas for performance enhancement. Propose and implement improvements in metrology techniques and testing procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. 3+ years of hands-on … experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis using JMP or Minitab. Familiarity with process control, quality control, and acceptance testing in a high-volume manufacturing environment. Excellent troubleshooting skills with the ability to diagnose issues with optical systems and testing equipment. Strong communication skills, including the ability More ❯

producing reporting suites to track performance Support the broader business and commercial and marketing programmes through thought leadership into organisational programmes of work Provide input and advice into company analysis strategy and the effective implementation of that strategy to meet company requirements Maintain an ethically sound workplace culture of inclusivity, openness, ownership, collaboration, ambition, innovation, agility, and respect Responsibility … managing a team and project leadership Experience developing and executing a best in market pricing vision Proven ability to produce outstanding results based on own initiative Strong background in statistical methods Experience of SAS, Emblem, Radar, Excel and advanced statistical techniques Skills: People and project management skills Ability to drive continued Capability development of a team Ability to … skills, both verbal and written, with experience dealing with senior stakeholders Strong problem-solving skills, with the ability to adopt a logical approach to solving problems Excellent data and statistical analysis skills Strong IT skills (including Excel, Emblem, Radar and programming skills) Knowledge: Strong knowledge of motor insurance products and the motor insurance industry Solid understanding of the More ❯

Your Role & Responsibilities Working in conjunction with Marketing, Sales & Supply Chain Managers to develop, progressively improve forecasting process, improve accuracy and reduce forecast volatility through co-ordinated innovation activity. Analysis of historical trends, PSI and market trends on a weekly basis using statistical analysis tools to generate weekly forecasts. Collect and review sales forecasts on a weekly … market changes: Promotional activity, national/international events. Monitor periodical performance measures and supplier/customer non-conformance to enable process improvement in the Supply Chain. Provide fact-based analysis with a corrective action plan Build on collaborative working relationships with key customers to drive forecast accuracy, process improvements, and free flow of information and generally enhance Sales Management More ❯