101 to 125 of 262 Permanent Statistical Analysis Jobs

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 ❯

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 ❯

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 ❯

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 ❯

science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development More ❯

gains from proposed improvements Analyse our routes to identify inefficiencies in routing models and algorithms, helping our team to operate with precision and maximise impact. Build models and produce analysis to optimise the daily operation Collaborate with engineers and scientists to deploy your algorithms and models into production Translate operational and commercial constraints into model or algorithm improvements Bring … thoughtfully What we're looking for Academic or Industrial experience in Operational Research, specifically combinatorial optimisation and/or graph theory Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in an office environment, or as part of a team Python & SQL Analytical and problem-solving skills, with More ❯

analysis. - Excellent written and oral communication skills including an ability to communicate with cross functional teams (technical and business) and senior stakeholders. - Strong proficiency in SQL, Microsoft Excel and statistical analysis tools. PREFERRED QUALIFICATIONS - MBA or advanced degree. - Strong organizational and multitasking skills with ability to balance competing priorities. - Core Program and Project Management skills (regular updates, Program … flashes, data audits, review meetings, process audits). - Demonstrated experience in leading analysis, customer segmentation, and/or product behavior analysis. - Pricing Experience - An inherent learn and be curious nature, willing to jump into unexplored topics. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions 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 ❯

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 ❯

/year WHAT YOU'LL DO As a Data Scientist III, you will: • Extract insights from large datasets using math, stats, computer science, and domain knowledge • Apply analytic modeling, statistical analysis, and programming techniques • Evaluate data of varying format and quality • Translate mission needs into technical requirements • Communicate findings to non-technical audiences • Stay current on NSA/… CSS data capabilities and limitations KEY SKILL AREAS (must have experience in at least 2) 1️ Foundations: Mathematical, Computational, Statistical 2️ Data Processing: Data curation, visualization, workflow, reproducibility 3️ Modeling & Prediction: Data modeling, domain-specific assessment QUALIFICATIONS Bachelor's with 10 years relevant experience OR Associate's with 12 years Degree must be in: • Mathematics, Statistics, Machine Learning, Data … unless paired with a Certificate in Data Science from an accredited institution ️ Relevant Experience Must Include One or More of the Following: • Machine Learning Design/Implementation • Data Science & Analysis • Analytical Algorithm Development • High-Level Programming (e.g., Python) • Statistical Modeling (e.g., hypothesis testing, EDA, linear models) • Data Cleaning/Transformation • Data Mining • Data Modeling & Assessment • Artificial Intelligence • Software More ❯

science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and … reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning … and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure More ❯

sits within the Consultancy side of their business who work in partnership with the defence sector, national government bodies, international institutions and global prime contractors on enterprise transformation, feasibility analysis, systems engineering, programme delivery and support. As an Analytical Consultant, you will be providing the evidence to help the MOD/Government to make better decisions. This may be … support procurement decisions or supporting workshops with customers and stakeholders to improve polices and planning. Our client’s recent successes within UK MOD mean that the company’s Operational Analysis team are looking for consultants who can help them grow and deliver the business. They are interested in people who engage customers technically and personally, with the ability to … provide analytical insight. Responsibilities for the Senior Operational Analyst Consultant will include: Delivering technical consulting projects. · Experience on qualitative and quantitative analysis Identifying and winning work within the MOD/Defence sector. Developing and using a variety of analytical tools and techniques Writing reports and presenting to customers Building new relationships and maintaining the relationships they have with their More ❯

Description Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/ More ❯

for data-driven decision-making. The Level 3 Data Scientist shall possess the following capabilities: Employ some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical Data Processing: Data management and curation, data description and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate … principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature … in National Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Qualifications: Bachelor's Degree with 10 years of relevant experience, Associates degree with 12 years of experience More ❯

involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making. The Level 3 Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning … and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure … inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing More ❯

This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making. The Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning … and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure … inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing More ❯

great work culture and environment Working with stakeholders across various teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Senior Analyst More ❯

We're searching for talented individuals who provide intelligence, statistical analysis and programming expertise for the Government. This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us! Job Description … The Level 2 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or More ❯

We're searching for talented individuals who provide intelligence, statistical analysis and programming expertise for the Government. This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us! Job Description … The Level 2 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or More ❯

We're searching for talented individuals who provide intelligence, statistical analysis and programming expertise for the Government. This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us! Job Description … The Level 3 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or More ❯

and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. Building dashboards that is able to tell a story and provide the business with key … insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process. Supporting the team … of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an More ❯

and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. Building dashboards that is able to tell a story and provide the business with key … insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process. Supporting the team … of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an More ❯

and connection with our customers while having a positive impact on millions of people around the globe. About the Role: We are looking for someone who can combine rigorous statistical analysis with strong business judgement and ownership to help us deliver and execute on pricing strategies across EMEA/APAC regions and enhance overall customer lifetime value. Reporting … leader for pricing choices and merchandising throughout Remitly, partnering with Business Management, Marketing, Finance, and Product to build the strategies and products that power our pricing engine. Conduct profitability analysis of our pricing strategies and critically assess price optimisation opportunities Provide insightful statistical and econometric analyses that extract value from complex datasets and achieve targeted outcomes Build tools More ❯

around the world, to develop models to further the desk's understanding of short- and medium-term fundamental dynamics for Global and European markets Develop trading ideas based on analysis of fundamentals, statistics and option pricing Maintain a superior level of quantitative rigor in analysis and closely monitor accuracy of analytical output over time. Develop tools to monitor … experience in an energy commodities role, ideally with a strong understating of European gas and LNG markets Experience from working on a trading desk would be ideal Knowledge of statistical analysis and other quantitative techniques Technical requirements Advanced degree in engineering, sciences, math, finance, or economics or equivalent experience or relevant real world experience Advanced skills in a More ❯