126 to 150 of 375 Statistical Analysis Jobs

pricing outcomes for customers. Key responsibilities of the Lead Pricing & Modelling Analyst will include Develop, enhance and maintain General Insurance pricing models Undertake pricing analysis, performance monitoring and model validation Analyse complex data to support informed pricing decisions Work closely with Pricing and Underwriting stakeholders Support improvements to rating … qualifications of the Lead Pricing & Modelling Analyst position will include Experience working within Pricing, Data Science or a similar analytical environment Knowledge of pricing analysis, modelling techniques and statistical analysis Experience analysing, monitoring and validating complex data Experience using R, Emblem or Python Experience with ...

pricing outcomes for customers. Key responsibilities of the Lead Pricing & Modelling Analyst will include Develop, enhance and maintain General Insurance pricing models Undertake pricing analysis, performance monitoring and model validation Analyse complex data to support informed pricing decisions Work closely with Pricing and Underwriting stakeholders Support improvements to rating … qualifications of the Lead Pricing & Modelling Analyst position will include Experience working within Pricing, Data Science or a similar analytical environment Knowledge of pricing analysis, modelling techniques and statistical analysis Experience analysing, monitoring and validating complex data Experience using R, Emblem or Python Experience with ...

involved in the following: Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth. Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation. Build predictive models focused on areas such as customer churn, engagement scoring … Advanced Analytics environments. Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake. Expertise in Python or R for statistical analysis, machine learning, and predictive modelling. Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data. Ability to communicate technical findings clearly to both ...

negotiating buy‐in with various VPs, ensuring consistent follow‐through and concrete impact within agreed timelines. What you'll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis … requiring constant guidance. Understanding of business strategy and how data‐driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives. You'll need to have a prior experience as a data analyst and to hold a business or engineering degree. What ...

best practices (version control, testing, documentation).Experience with machine learning libraries such as scikit-learn, PyTorch, or Keras. Strong data visualization and exploratory data analysis skills. Ability to translate complex analytical concepts into clear, actionable insights. Strong collaboration and communication skills across multidisciplinary teams. Fluency in English (oral … Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

helping to managing a team of analysts and ensuring that insight is delivered consistently, at pace, and with strong commercial impact. Main Responsibilities Lead analysis across the full customer lifecycle, from acquisition through to retention and lifetime value. Go beyond "what happened" to understand why performance changes across acquisition … increase lifetime value through better engagement, targeting, and product experience. Develop and maintain customer segmentation models to better understand audience behaviour. Conduct cohort analysis to track performance over time and identify patterns in acquisition and retention. Identify high-value customer journeys and opportunities to improve performance across the lifecycle. ...

Translate complex business challenges into scalable data products and machine learning models Own projects from exploratory analysis through production deployment Write complex SQL and engineer features Deploy baseline models quickly and iterate toward more complex solutions Manage the complete model lifecycle, including data extraction, feature engineering, deployment, A/… Data Lifecycle Management Hard Skills Data Science Machine Learning Engineering Feature Engineering A/B Testing Performance Monitoring Model Deployment Exploratory Data Analysis Technical Documentation Algorithm Selection Statistical Analysis Soft Skills Technical Communication Collaboration Mentoring Problem-Solving Adaptability Industry Keywords Data Products Business Insights Customer Behavior Modeling ...

support programme progress reporting Track and report on waste diversion, landfill reduction, and recycling rate KPIs Support Bin It Right programme with data collection, analysis, and reporting Coordinate with FM teams on waste data completeness and quality Produce waste/soft services data outputs for client-facing governance updates … Building Performance & Energy (BPE) Data Management Manage BPE data collection and automation EUI gap analysis for top 41 EMEA sites BPE automation implementation and ongoing maintenance Support decarbonisation audit data preparation and scheduling Compliance & Governance Reporting Support corporate reporting objectives – management information on utilities and environmental impact ESG compliance ...

solutions within a regulated environment. Job Responsibilities: Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challengesConduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendationsContribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiencyApply … deploying machine learning or AI solutions using modern tools and techniquesWorking knowledge of large language models, agentic frameworks, or generative AI technologiesExperience with statistical analysis, experimentation, and model evaluation methodologiesProficiency in Python, SQL, and data science tooling used in enterprise environmentsStrong analytical, problem-solving, and communication skillsAbility ...

solutions within a regulated environment. Job Responsibilities Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute to model factories and evaluation frameworks that improve model quality, scalability … machine learning or AI solutions using modern tools and techniques Working knowledge of large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem‐solving ...

together to set the pace for unlocking new possibilities that better serve the property industry.Job Description:Design and implement sophisticated machine learning algorithms and statistical models to analyse large, complex datasets and extract actionable insights.Develop and program advanced methods, processes, and systems to consolidate and analyse unstructured, diverse … Mathematics, or related quantitative field required.3+ years of relevant work experience required.Strong programming skills in languages such as Python, R, or Java required.Expertise in statistical analysis, machine learning algorithms, and predictive modeling required.Experience working with big data technologies and unstructured data sources required.Proficiency with data manipulation and analysis ...

innovative environment. What you’ll do As a Senior Analyst, you will be at the forefront of delivering high-impact analytical support and project analysis to our external clients. Your responsibilities will include: Client-Focused Analytics: Addressing client queries related to CRA (Credit Reference Agency) data characteristics and scores … analytical projects, including credit strategy development, model development, and bespoke analytics tailored to solve specific client problems. Data-Driven Problem Solving: Performing in-depth analysis of multiple data sources, utilising statistical analysis and computer science techniques to address complex business issues. Insight Communication: Translating analytical findings into ...

lifecycle – from sourcing and cleaning datasets to uncovering patterns and presenting insights through clear, compelling visuals. This involves building reports in Power BI, conducting statistical analysis, or creating dashboards that highlight what’s working and where we can improve. You’ll gain in-depth knowledge of our enterprise … skills in data visualisation, cloud platforms, agile ways of working, and ethical AI. Depending on your placement, you may also explore areas like Business Analysis and Project Management, as well as using Python to build analytical models that analyse enterprise data and draw meaningful conclusions. There may also ...

strategy, design, and delivery of all global R&D resource analytics, dynamic dashboards, executive scorecard metrics, and enterprise portfolio reporting. Scenario Planning & Options Analysis: Lead quantitative scenario modeling for portfolio prioritization, operational trade-off analyses, budget cuts, pipeline expansions, and business development integration. Actuals vs. Forecast Analysis: Establish … including algorithm customization, resource driver setup, workload curve modeling, and system integration. Demonstrated mastery of quantitative business analytics, data visualization platforms (e.g., PowerBI, Tableau), statistical analysis, and practical implementation of AI/ML predictive tools in resource planning. Hands-on leadership in implementing Named Allocation, capacity planning ...

Proficiency in programming languages such as Python, R, and SQL.Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Expertise in data manipulation, analysis, and visualization tools (e.g., Pandas, Matplotlib, Tableau).Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing (e.g., Spark).Solid understanding of statistical analysis and hypothesis testing methods. Strong communication skills, with the ability to present complex data findings to non-technical stakeholders. Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment. Strong problem-solving abilities and a passion for driving data-driven decision-making ...

into scalable solutions. Skills: Python, C++, Rust or JavaScript Docker and cloud environments Software architecture and design CI/CD and Git Cybersecurity, malware analysis or statistical analysis You'll need to be comfortable working independently, tackling complex problems and taking ownership of your work. Python with ...

experience working with large datasets. Experience with BI and data visualisation tools. Strong knowledge of customer lifecycle, retention, LTV or churn analysis. Understanding of statistical analysis, experimentation and predictive modelling. Strong communication skills with the ability to turn analysis into actionable recommendations. Python or R and digital ...

other regulated environments. Experience supporting programme performance management, benefits tracking or evaluation activities. Knowledge of data governance and information management principles. Familiarity with statistical analysis techniques or analytical methodologies. Experience working within Agile delivery environments What Success Looks Like You’ll help deliver trusted business intelligence products that … adoption of self-service reporting and insight capabilities. Drive consistency in KPI reporting and performance measurement across policing. Identify opportunities for improvement through proactive analysis and insight. Contribute to a more data-driven culture across UK policing. ***Please see Candidate Pack for full details.*** Diversity, equity and inclusion ...

experimental data into meaningful insights, visualisations and scalable analytical workflows. The Data Scientist will: Develop tools and workflows to automate the extraction, processing and analysis of experimental data. Build and maintain data pipelines, databases and analytical frameworks. Generate meaningful features, visualisations and reports from complex datasets. Apply statistical analysis and machine learning techniques to support product development decisions. Present insights to both technical and non-technical stakeholders. Develop scripts, tools and automation solutions to improve business efficiency. Identify opportunities to enhance existing data methodologies and accelerate development cycles. The Data Scientist will have: A degree ...

solutions within a regulated environment. Job Responsibilities: Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute to model factories and evaluation frameworks that improve model quality, scalability … machine learning or AI solutions using modern tools and techniques Working knowledge of large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem-solving ...

SummaryThe RWE Analyst is a key member of cross-functional teams and RWE-CoE within GBDS. This role will perform the curation, transformation, and analysis of complex healthcare datasets to inform evidence generation, support developing clinical program design, clinical trial execution, and other data-driven decision-making activities. … perform data summary analytics to support real-world evidence (RWE) generation.* Participate in the design of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results.* Author or review study documents such as protocols, statistical analysis plans, study reports, publications, and study ...

Experience of Arm CPUs , System IP and debug tools Experience of AMBA protocols Understanding of ML applications and their workloads Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support Benefits and Inclusion In addition to a competitive salary, Graphcore offers flexible working, a generous … confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following questions will remain confidential and will not impact ...

UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. … 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 ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale ...

Compensation £50k-£70k, depending on experience, plus equity & benefits Location London Reports To Saif Ur-Rehman (Director, Data Engineering) Responsibilities Multi-omic data analysis and interpretation. You own the computational analysis of datasets generated by our wet lab (metagenomics, metabolomics, 16S), from QC and feature extraction through statistical analysis and biological interpretation. Computational studies. You run your own proof-of-concept investigations: microbiome-compound interactions, community dynamics, predictive biomarkers. You're a scientist with hypotheses, not a technician with a task list. Perturbation data quality. You own the validation layer between the bench and the models. ...