151 to 175 of 477 Statistical Analysis Jobs in England

algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Provide Thought Leadership within the service by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and … Hands-on experience with various machine learning techniques, including but not limited to: Regression Classification Clustering Dimensionality reduction LLM Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Data … a strong track record of end-to-end project execution Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels Desirable: Experience More ❯

colleagues. Advanced Data Solutions Experience And Expertise University degree or equivalent in data science, statistics, computer science, or related field. Expert knowledge in predictive modeling, machine learning algorithms, and statistical analysis. Experience with translating business problems into data science solutions. Hands-on experience with data science tools and programming languages (e.g., Python). Understanding of model development, validation, and More ❯

Fantastic career opportunity for individuals educated to degree-level in mathematics or a related discipline, who have detailed knowledge of statistical analysis and mathematical modelling. My client is an SME organization positioned within a niche market, they are a professional business of consulting engineers, software developers and data analysts. Their services focus on planning, monitoring, analysis, performance … wide range of analytical and digital services projects across the UK and overseas. Your duties will include, but are not limited to: Streaming and processing data to aid detailed analysis and reporting Providing statistical analysis of representative samples of data to produce cohorts of results for extrapolation Assessing the impacts of data improvements on regulatory reporting, driving … working days Opportunities for career development Great progression opportunities Requirements Educated to degree-level in mathematics or related disciplines such as computer science, physics, computing, engineering, etc. Knowledge of statistical analysis and mathematical modelling A highly analytical mindset Excellent communication and organizational skills Eager to learn, with a proactive and driven approach to work Although not essential, it More ❯

/Analyst Senior Quantitative Researcher/Analyst Get the Data (GtD) is a successful and growing company, both in London and in Atlanta USA. GtD’s exciting social impact analysis approach is helping organisations on both sides of the Atlantic to measure, learn and prove their social impact. At GtD we offer our employees an opportunity to gain extensive … could be looking for your first role or want to apply your analytical skills to something more rewarding. But you must be passionate about how high quality, well communicated analysis can improve social outcomes. You will be looking forward to influencing senior people in the police, courts, probation services and third sector organisations on both sides of the Atlantic. … most interested in your potential. Therefore you will be a self-starter, relish the opportunity to help a business grow and want to learn and apply advanced analytical and statistical techniques. You will provide quantitative analysis skills to our evaluation and social impact analysis practice in the areas of criminal justice, education and housing. Specifically you will More ❯

Job Description Summary - Understands complex and critical business problems from various stakeholders and functions, formulates integrated analytical approaches to mine data sources, employs statistical methods and machine learning algorithms to solve unmet medical needs, discover actionable insights, and automate processes to reduce effort and time for repeated tasks. - Manages the definition, implementation, and adherence to the overall data lifecycle … to facilitate decision-making. Provide technical expertise in data science and machine learning/AI to identify influencing opportunities and discuss white papers/regulatory policies. Perform hands-on analysis of integrated clinical trial and real-world data to generate evidence for decision-making in drug development. Your Experience Ph.D. in data science, biostatistics, or a related quantitative field … or equivalent). Over 6 years of experience in clinical drug development with extensive clinical trial exposure. Strong knowledge of statistical methods like time-to-event analysis, machine learning, meta-analysis, mixed-effect modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design. Proficiency in R and Python, with experience in More ❯

the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis … Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and … Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint More ❯

the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis … Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and … Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint More ❯

the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca’s Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca’s funding strategy. This includes input to meetings with debt and equity investors, and analysis … Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and … Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint More ❯

to build robust data aggregation platforms. • Support leadership reviews, Business Reviews, 1/3/5 Year planning exercises for the group, Manage sprint planning for basic/advance analysis requests across stakeholders. • Interfacing with multiple technology and partner teams to extract, transform, and load data from a wide variety of data sources and ability to use a programming … and/or scripting language to process data for analysis and modeling • Evolve organization wide Self-Service platforms. • Candidate should have basic understanding of a scripting language. Knows how to model data and design a data pipeline. Able to apply basic statistical methods (e.g. regression) for difficult business problems. A day in the life The ideal candidate relishes … intelligence tools and passionately partners with multiple Tech and Business to identify strategic opportunities for data-backed insights to drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter More ❯

Execute solution with scalable development practices in scripting, data extraction and data visualization 5) Triangulate data from multiple sources to ensure data fidelity 6) Responsible for deep-dive analysis on key metrics 7) Manage top notch communication with stakeholders and team members with include project progress, blockers etc. A day in the life 1) Solve analyses with well-defined … inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis 3) Derive recommendations from analysis 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Communicate analytical insights effectively About the … years of ecommerce, transportation, finance or related analytical field experience PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation More ❯

working on: Moloco Data Scientists contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through … models are trained with the most accurate engagement data. Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients. Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth. How Will You … Know if the Role is Right For You? Minimum Requirements: Bachelor's degree in a quantitative field with 4+ years work experience in data analytics using statistical packages (e.g., SQL, Python, R, SAS, Stata, MATLAB). Or Master’s degree with 2+ years data analytics work experience using statistical packages or a PhD in a quantitative field. Programming More ❯

the retail, financial, property, leisure and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member of our team. Are you … lead projects on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning …/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A strong communicator with the ability More ❯

Chief Credit Officer in the development and management of the business's credit risk appetite. Supporting the development of iwoca’s Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca’s funding strategy. This includes input to meetings with debt and equity investors, and analysis … Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and … Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint More ❯

further develop and enhance our Career business, which specializes in compensation and analytical solutions but may stretch across many subject matter domains. We will count on you to: Data Analysis and Interpretation : Utilize advanced analytical techniques to interpret compensation survey data, identifying trends and insights that inform strategic decision-making. R Programming and excel Proficiency : Develop and implement R … code for data manipulation, statistical analysis, and visualization to support compensation benchmarking initiatives. Utilize advanced capabilities of Excel to further develop and test our approaches. Collaboration with Data Scientists : Work closely with data scientists to design and execute analytical models that enhance the understanding of compensation trends and market positioning. Business Requirements Gathering : Engage with stakeholders to gather … stay informed about industry trends, compensation practices, and emerging analytical techniques relevant to compensation benchmarking. Build our methods : Provide discovery, validation, and knowledge sharing for best practices in data analysis, R programming, and compensation benchmarking. Continuous Improvement : Identify opportunities for process improvements within the data analysis workflow, leveraging technology and innovative approaches to enhance efficiency and effectiveness. What More ❯

the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis … Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and … Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint More ❯

experiences.This will allow the product analytics and experimentation and supporting data engineering teams to maintain accurate data sets, maintain data driven product decisions, and support an in house experimentation statistical engine.These data sets directly impact customer experience and are tied to business outcomes worth more than $200M of incremental value added per year. The successful candidate will need to … inform the scope and design of data needs, planning and being available for technical inquiries and support. Guide stakeholders through strategy, processes and create playbooks to support seamless product analysis (including experimentation). Own the design and enhancements of the product analytics mart which helps analyse and report on product analysis and experiment results in an automated manner. … NBCU's data governance standards and processes, ensuring fitness of data elements Qualifications Bachelor's degree in the field of computer science or engineering, or focus on data/statistical analysis or equivalent experience highly desired. Experience working as a Product or Data Engineering Manager role overseeing clickstream/product data. Experience operating in a large, complex organisation More ❯

a mission-driven organisation that values excellence and efficiency in all its endeavours. Job Description The key responsibilities of the Data and Insights Manager include: Lead high-quality data analysis and intelligence initiatives to support strategic and regulatory objectives. Produce and oversee intelligence products, such as reports and dashboards, on areas of risk and emerging trends. Leverage Microsoft SQL … from relational databases. Develop and oversee comprehensive data and intelligence monitoring strategies, incorporating new data sources to manage regulatory risks. Manage and support line reports in conducting high-quality analysis and presenting findings to stakeholders. Implement tools and techniques for data analysis and visualisation to enhance risk assessment processes. Assist with and lead change projects in data management … and other initiatives. Champion the integration of advanced risk analysis and intelligence across the organisation. Support the development and continuous improvement of the Regulatory Risk Framework. Deputise for the Head of Regulatory Risk and Insights when needed. The Successful Applicant The successful candidate for the Data and Insights Manager role will have a degree-level qualification or equivalent experience More ❯

impactful products and initiatives. This role is based in London with hybrid working flexibility. You will: Define and standardise experimentation strategy, including best practices in test design, allocation, and statistical analysis Collaborate with commercial, engineering, analytics, and product teams to ensure flawless execution and clean data capture Apply causal inference techniques when randomisation isn’t feasible Own the … to elevate experimentation maturity across the organisation What We’re Looking For Significant experience in data science and experimentation, ideally within consumer tech or digital commerce Strong foundation in statistical testing, power analysis, and causal inference methodologies Expertise in SQL and Python (or R) for data querying, preparation, and sophisticated analysis Exceptional communication skills - with a proven More ❯

within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access More ❯

and engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative insights, ensuring accuracy and usefulness Conducting advanced statistical analysis and clustering to uncover insights about student segments, motivations, and behaviours Collaborating closely with the Student Personas team to translate analytical findings into clear, actionable recommendations Creating … this role if: You have strong analytical skills, demonstrated by excellent academic results, research projects, academic papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or … similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools You are comfortable writing clear, efficient SQL for extracting, cleaning, and preparing datasets, demonstrated through coursework, internships, or personal analytical projects You have demonstrated initiative by independently exploring additional analytical and machine learning tools or frameworks, such as BigQuery, TensorFlow, PyTorch, or similar Progression This is More ❯

or Biotech industry or related field or industry! Knowledge of trial site operations and study execution Working knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated understanding of data analysis and familiarity with basic statistical concepts. Project, Issue, and risk management experience with ability to apply critical thinking & problem-solving skills, to drive solutions & helping to lead teams … to successful outcomes. Experience working with technology platforms and systems used for the collection, analysis and reporting of data. Ability to effectively collaborate in an environment of cross-functional stakeholders, plan and coordinate tasks effectively. Strong ability to communicate effectively (written and verbal). Good written and verbal communications skills (in English). Knowledge of clinical drug development processes. … Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Knowledge of Risk-based Quality Management (RBQM)/Risk-Based Monitoring (RBM)/Quality by Design (QbD 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 ❯

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 ❯

management skills, research skills and bolster your financial knowledge. The Role As an entry level Data Analyst, you’ll play a key role in providing the numbers, algorithms, and analysis that make Bloomberg data the most sought-after data source in the world. You will enhance and report financial markets content for the Bloomberg Professional service (the Bloomberg terminal … that inspires news and analysis that empowers our clients to make better-informed decisions. Data Analysts also provide unparalleled customer service and solve complex issues, while building relationships with key market players in the financial industry. Your role starts off with the Global Data Training Program and then you will be placed into one of the following teams as … to adapt in a fast paced changing environment Ideally we are also looking for candidates to possess at least one of the following skills: – Knowledge in information technology or statistical analysis or computer programming (for example VBA, SQL, MATLAB, Python) – Effective project management skills and ability to prioritize tasks accordingly – Experience in Customer Service or Client Relationship Management More ❯

deliverables and in parallel, be comfortable with prioritizing efficiently and communicating progress and blockers in an effective manner. Key job responsibilities • Manage a portfolio of BI solutions (Data Products, Analysis, Dashboards) related to supplier management (performance & risk management, diversity & inclusion etc. ), work with multiple stakeholders and communicate effectively progress and blockers with the project team and sponsors. • Develop ETL … to align on requirements and solutions. Develops and maintains strong networks and partnerships across organizations, builds trusted relationships. Keeps customers and stakeholders up to date. Innovates in data engineering, analysis, statistics and visualization. About the team The BI & Analytics team enables metric-driven capabilities for the Procurement leaders through secure, performant, scalable & sustainable reporting & analysis products. We make … the data speak. Providing Amazon-standard customer experience is in our core. We build trust with leaders and provide analysis they need and we do that on a timely and top-quality manner. BASIC QUALIFICATIONS - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience with AWS solutions such as EC2, DynamoDB More ❯