1 to 25 of 44 Statistical Analysis Jobs

data warehouse data, to develop and maintain analytic datasets, clinical measures, reports, dashboards, and other data products. The position requires strong SQL and data analysis skills, an ability to understand complex clinical workflows and data structures, and the judgment to assess data quality and communicate limitations clearly to clinical … system characteristics, and known limitations to support reproducibility and appropriate interpretation of results. Support research and quality-improvement initiatives through data extraction, cohort development, statistical analysis, and analytic consultation. Identify opportunities to improve the availability and quality of clinical data, including collaboration with clinical informatics and data-management ...

will help ensure compliance with industry regulations while driving excellence in quality monitoring and reporting. Key Responsibilities Lead monthly product quality monitoring activities, utilising statistical analysis and trending methodologies to identify emerging quality signals and product performance concerns. Develop, maintain, and enhance Power BI dashboards and reporting tools … support quality monitoring and business decision-making. Conduct detailed complaint investigations, trend analysis, and ad hoc data reviews to support product improvement and risk mitigation programmes. Support post-market surveillance activities, including trending analysis, product monitoring, risk reviews, and safety reporting requirements. Ensure compliance with quality management systems ...

Process of Record (POR) to ensure robust, scalable manufacturing Plan and run experiments using DOE methodologies, then execute, analyze and document the results Perform statistical analysis and derive actionable conclusions Support root-cause investigations for stability and reliability issues Your profile Qualifications and skills to help you succeed … wide-bandgap technologies Solid understanding of semiconductor device physics (experience with GaN and HEMT structures is a strong plus) Experience in DOE and statistical analysis A structured, analytical problem-solving approach and ownership mindset Fluent English; German (or motivation to learn) is an advantage We offer competitive salaries ...

genomics. This is an exciting opportunity to work within a multidisciplinary environment, tackling complex biological data challenges and contributing to the development of advanced statistical and computational approaches that support scientific discovery and innovation. Key Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex … biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse, process, and interpret Next Generation Sequencing (NGS) and other high-throughput ...

reasonable and necessary on a temporary or permanent basis. Job description Job responsibilities Analytical & Judgmental Skills Makes judgements involving highly complex data, statistics and analysis and leverages knowledge and skills in analytical delivery to do this. Willingness to learn use of analytical toolsets to facilitate this process … choose an appropriate toolset and output method for the required situation. Learning to perform complex statistical analysis, including statistical techniques such as correlation and forecasting.Planning and Organisation Support team to manage daily workload by monitoring submission deadlines and other FOI and ad hoc information requests. Monitor inbox ...

maintain dashboards, reports, and data visualizations. Use SQL to extract, transform, and analyze data from multiple sources. Use Excel or Google Sheets for analysis, reporting, and data management. Partner with business and cross-functional teams to understand their data needs. Translate complex findings into clear, practical recommendations. Monitor … performance indicators (KPIs) and provide regular insights to stakeholders. Identify data quality issues and work with relevant teams to resolve them. Support forecasting, performance analysis, and other data-driven projects. Continuously improve reporting processes and analytical methods. What Were Looking For Bachelors degree in Data Analytics, Statistics, Mathematics, Computer ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...

Start ASAP 40 hrs week Must Have: Advanced SQL for high-volume customer, payment, loyalty and transaction analysis. Strong Python for statistical analysis, matching, weighting, cohort analysis and reproducible data products. Hands-on Databricks/Spark or PySpark experience for notebooks, Delta tables, workflows and scheduled analytical … idempotency and incremental processing. Experimentation or uplift-model validation experience. BNA or customer-decisioning exposure. MUST HAVE high-volume customer, payment, loyalty and transaction analysis Data Scientist Role Overview: Lead Data Scientist - Customer Intelligence, Incrementality & Value Measurement Primary focus: SCI/customer analytics, incrementality, CLV/RFM, customer ...

cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud ...

cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical … improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory ...

insights that influence strategy and drive measurable outcomes. Key responsibilities include: Leading advanced analytics and data science projects from concept through to delivery. Applying statistical modelling and analytical techniques to identify trends, drivers and opportunities. Developing prototypes, use cases and analytical frameworks to solve business challenges. Transforming complex datasets … Analytics Management roles. Excellent Python skills (essential). Experience with R and/or SAS is desirable but not mandatory. Strong understanding of statistical analysis, modelling and data-driven decision making. Experience within the pharmaceutical, biotechnology or life sciences Ability to communicate complex analytical findings to senior stakeholders. ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

experiments. Improve attribution and marketing measurement frameworks. Build and maintain Customer Lifetime Value (LTV) models to support acquisition strategy and budget decisions. Translate statistical analysis into clear commercial recommendations. Partner closely with marketing stakeholders to optimise spend and performance. Use AI tools to accelerate analysis, experimentation … insight generation. Your Skills & Experience Strong experience in marketing measurement, MMM, incrementality testing, or experimentation. Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design. Strong SQL skills with experience working in modern analytics environments. Experience with Python and tools such as Snowflake and dbt. ...

dashboards, robust datasets and analytical products using advanced SQL and other appropriate tools. Develop demand, capacity, activity and productivity models, forward trajectories and scenario analysis to support credible recovery plans. Identify emerging operational risks, bottlenecks and unwarranted variation, translating findings into clear options for clinical and operational teams. Work … basis. This must first be agreed with your current line manager. Person Specification Qualifications Essential Masters degree-level education in a relevant analytical, mathematical, statistical, computing or information discipline, or equivalent substantial professional experience; evidence of continuing professional development. Desirable Further Postgraduate qualification or specialist certification in analytics, data ...

actively encouraged. The Role You will be responsible for: Collecting, cleaning, and preparing data from multiple sources to ensure quality and accuracy. Applying statistical analysis and machine learning techniques to solve business challenges. Building, deploying, and maintaining predictive models that deliver tangible value. Developing and enhancing … Strong commercial experience delivering data science solutions. Excellent Python or R programming skills. Strong SQL capabilities for data extraction and analysis. Experience with forecasting, statistical modelling, and machine learning techniques. Knowledge of the full data science lifecycle from model development through to deployment and monitoring. Experience working with cloud ...

organisation's Marketing Mix Modelling (MMM) framework using tools such as Meridian, Robyn, or PyMC-Marketing Deliver actionable budget allocation recommendations through response curve analysis, saturation modelling, and marginal CAC insights Design, validate, and analyse incrementality tests including geo experiments, lift studies, holdouts, and causal impact analyses Measure … budget planning decisions Apply predictive modelling and uplift modelling techniques to optimise customer targeting and campaign performance Work closely with marketing stakeholders to translate statistical findings into clear commercial recommendations Champion robust experimentation standards and causal measurement methodologies across the business Leverage AI tools to accelerate analysis, experimentation ...

work confidently with large, complex datasets. Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar. Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development. Experience with data visualisation tools such as Tableau, Looker, or Power BI. Ability to communicate complex analytical findings … senior and executive stakeholders. Commercial mindset with a track record of using data to influence business outcomes. Python experience for analysis or automation would be advantageous. ...

enthusiasm for data-driven decision making Preferred vibe-coding and AI assistant knowledge Experience with SQL, Tableau, and project management methodologies Knowledge of statistical analysis and reporting concepts Excellent communication and stakeholder management skills in an international environment Very good English language skills; German is considered a plus ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they should ...

evaluation plans. Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments and apply statistical analysis, including ...

with a fantastic team of technology experts. Your primary focus will be designing, architecting, and deploying robust AI solutions and pipelines that enable advanced analysis and Generative AI capabilities, often in highly regulated environments. Either drawing on existing expertise, or with some development, you will be capable of advancing … frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare ...