1 to 25 of 61 Statistical Analysis Jobs

inherent to real-world clinical data sources. Working closely with project managers, clinical leads, digital teams, and external partners, the postholder will provide expert statistical input across the full project lifecycle. The role will involve working with complex, real-world healthcare datasets, including routinely collected clinical data, digital health … outputs, and linked datasets within secure environments such as Trusted Research Environments (TREs). The postholder will be responsible for developing robust statistical analysis plans aligned to project objectives, applying appropriate quantitative methodologies, and ensuring outputs are accurate, reproducible, and compliant with relevant governance frameworks. This includes supporting ...

Experience Proficiency in programming languages such as Python. Hands‐on experience with machine learning frameworks such as TensorFlow or PyTorch. Strong background in statistical analysis, data structures, algorithms, and probability. Excellent communication skills. Key Skills Statistical Analysis Machine Learning Data Preparation & Cleaning Model Evaluation & Testing Collaboration ...

with silicon verification, and validation teams to guide successful product implementation • Undertake transistor level design and simulation using industry standard EDA tooling Data and statistical analysis Design methodology development and optimisation Identify and submit patents of patentable circuit/architectural design features Select and integrate IP blocks, working … strong scripting skills Experience of running commercial EDA tools and knowledge of potential issues Experience of taking designs into production Strong understanding of statistical analysis, strong analytical and problem-solving skills Ability to plan, coordinate and take responsibility for effective and on-time completion of project activities Self ...

closely with internal teams and stakeholders to embed analytics into consulting engagements Evaluate and improve existing models, ensuring accuracy, robustness, and usability Conduct advanced analysis, including statistical modelling and use of machine learning where appropriate Deliver clear, insight-led outputs to clients, ensuring methodologies and conclusions are well … across the business Act as a trusted advisor on analytics, supporting colleagues and promoting data literacy within teams Essential Criteria: Strong experience in data analysis, modelling, and visualisation in a professional environment Proven ability to design and deliver analytical models (e.g. forecasting, demand modelling, benchmarking) Advanced proficiency in Excel ...

existing single source of truth. Source Control GitHub (or equivalent): managing BI code, TMDL definitions, and deployment pipelines with branching, review, and release workflows Statistical Analysis R or Python for descriptive and inferential statistics, trend analysis, variance analysis, and data exploration in support of commercial insight … Construction Knowledge Working understanding of construction commercial processes: CVRs, cost-to-complete, revenue recognition, margin analysis, subcontractor accounts. Familiarity with programme management data: float, critical path, earned value, and how reported progress relates to reality on site. Awareness of how construction projects are financially structured: prelims, measured works, variations ...

role offers variety, visibility, and the chance to develop your skills across a broad range of projects and industries. The role: Deliver insight and analysis that supports data driven marketing and commercial decision making. Build and apply predictive models and machine learning techniques to optimise client strategies. Prepare, cleanse … manipulate data from multiple sources to ensure it is analysis ready. Translate analytical findings into clear stories for both technical and non technical audiences. Your Skills & Experience Strong commercial experience in data analysis or data science. Confident using Python or R for statistical analysis and modelling. ...

make a significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency … world-class operation to drive continuous improvement. Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you...... Minimum 2:1 within a numeric based degree i.e. Maths, Economics, Physics etc. Proficient ...

exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions. Job Responsibilities/Objectives This role is focused on supporting day-to-day analytical activities across customer portfolios … including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical ...

PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Experience in any aspects of the data analytics lifecycle, for example: Data Manipulation and ETL Data Analysis & Visualization Applying machine learning, statistical analysis, and other advanced analytics techniques to key business issues faced by our clients that can transform ...

driving data-backed decision-making in a high-impact environment. Key Responsibilities Collect, clean, and analyze structured and unstructured data Perform exploratory data analysis (EDA) to identify trends and patterns Build and maintain dashboards and reports for business insights Write efficient SQL queries to extract and manipulate data Assist … Preferred Qualifications Experience with real-world datasets or analytics projects Knowledge of business metrics and performance tracking Exposure to A/B testing or statistical analysis Familiarity with startup or fast-paced environments Key Skills Data Analysis & Interpretation SQL & Data Querying Dashboarding & Visualization Critical Thinking Communication & Storytelling ...

from you! Your new adventure: Support marketing channel leads (e.g., Paid Search, CRM, SEO) in understanding and improving individual channel performance through deep‐drop analysis and recommendations Develop statistical models to guide audience segmentation and lifecycle strategy Design and execute sophisticated experimentation frameworks, including incrementality testing, to validate … building models to tackle business problems, such as LTV modeling, multi‐touch attribution, or predictive scoring Experience with Python or R for advanced statistical analysis Expertise in building insightful data visualisations to enable self‐serve, with experience in Tableau or similar Ability to simplify complex technical concepts ...

driving data-backed decision-making in a high-impact environment. Key Responsibilities Collect, clean, and analyze structured and unstructured data Perform exploratory data analysis (EDA) to identify trends and patterns Build and maintain dashboards and reports for business insights Write efficient SQL queries to extract and manipulate data Assist … Preferred Qualifications Experience with real-world datasets or analytics projects Knowledge of business metrics and performance tracking Exposure to A/B testing or statistical analysis Familiarity with startup or fast-paced environments Key Skills Data Analysis & Interpretation SQL & Data Querying Dashboarding & Visualization Critical Thinking Communication & Storytelling ...

communicate best-practice methodologies internally and externally. Create technical documentation such as requirements, design, administration, and user guides. Interpret data and analyse results using statistical techniques, delivering ongoing reports. Identify, analyse, and interpret trends or patterns in complex datasets. Participate in product and solution training to maintain in-depth … experience. Knowledge of data management and visualisation tools. Expertise in data models, database design, data mining, and segmentation techniques. Advanced SAS programming and statistical analysis experience. Strong analytical skills with a high level of attention to detail. Experience with designing and developing data ingestion processes. Ability to work ...

analytics across research projects (segmentation, clustering, modelling) Run end-to-end research projects, mainly quantitative Analyse and interpret survey and external data sets Apply statistical methods (e.g. regression, factor analysis) Automate and improve recurring analysis processes Support proposals and contribute to new business work What They … Looking For 3+ years in analytics, research, or similar Strong statistical analysis experience Confident working with survey data Proficiency in R or Python Strong problem-solving and insight generation skills Able to manage multiple projects in a fast-paced environment Benefits Up to £60,000 salary Hybrid working ...

analytics techniques to deliver comprehensive portfolio insights that inform critical business decisions. The position requires strong analytical competencies to mentor team members, establish data analysis standards and best practices, and translate complex business requirements into effective data strategies and analytical solutions. A background in data engineering is highly valuable … help design proper data architecture for complex analytical solutions and guide the development of internal analytics infrastructure that enhances future analysis capabilities and data governance.**Responsibilities:*** Lead Global Data Analytics Team - Lead global, multi-time-zone team of data analysts, establishing analytical standards and best practices (including data architecture ...

Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into … Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic/Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills ...

Senior Information Analyst post holder will work to understand clinical pathways and the data collected, develop processes for collection where appropriate, analysis, validation, presentation and reporting of clinical and corporate business analytics data. This will include ensuring the Trust's information reporting obligations to the Department of Health … information software (e.g. SQL and Cognos) to extract and analyse the necessary data. The successful candidate will also have a solid understanding of statistical analysis techniques. Person Specification Qualifications Essential Educated to Degree standard or equivalent in a relevant subject or with equivalent experiential learning in the field ...

Analytics & Insights, Workplace Fairness you will play a central role in supporting the implementation of innovative workforce analytics strategies & tools and manage the collection, analysis, and interpretation of data, enabling the organization to leverage data, analytics and insights to guide strategic workforce decisions and attract, retain, and develop … include the following... Data Analytics & Insights Support the design of advanced analytics models, data visualization, and reporting tools to track workforce metrics Support the analysis of workforce data to uncover trends, risks, and opportunities that inform HR and business strategies. Partner the Director, Workforce Analytics & Insights, Workplace Fairness ...

data lakes, and modern data platforms Familiarity with advanced analytics or machine learning concepts Experience with Microsoft Power Platform for process automation Understanding of statistical analysis, reporting, and visualisation techniques What We Offer Industry aligned competitive salary 33 days annual leave, including bank holidays Access to learning resources ...

data into actionable insights and strategic recommendations. Collaborate with cross‐functional teams including consultants, engineers, and client stakeholders. Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs. Lead business development through proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists ...

data into actionable insights and strategic recommendations. Collaborate with cross-functional teams including consultants, engineers, and client stakeholders. Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs. Lead business development through proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists ...

experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical … clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining and enriching ...

organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product Architect and govern the marketing data … building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks (geo‐based, holdout, synthetic control) in a real business context Proficiency in applied statistical modelling, such as LTV modelling, predictive scoring and causal inference techniques Advanced Python or R for statistical analysis, modelling, and automation, with ...

functional teams to integrate data insights into marketing campaigns, product development, and commercial strategies. Utilize advanced analytics techniques, including machine learning, predictive modelling, and statistical analysis, to generate deeper insights. Establish and enforce data governance policies to ensure data quality, consistency, and compliance with regulatory requirements. Product Leadership … focusing on customer journeys. Define online product roadmaps for web/mobile platforms in line with the company's strategy. Conduct market and competitive analysis to identify trends, threats, and opportunities that inform product strategy. Stakeholder and Resource Management: Manage relationships with key stakeholders and ensure effective resource allocation. ...