1 to 25 of 88 Statistical Analysis Jobs

fraud, not customers. See what others can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support … data-driven decision-making across the organization. Responsibilities Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in … the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure More ❯

Role: Statistical Data Analyst Bill Rate: $93/hour C2C Location: Austin, TX Duration: 12+ months/long-term Interview Criteria: Telephonic + Skype Direct Client Requirement Necessary position providing expert statistical analysis and modeling to support business decisions. Essential Functions Providing expert statistical analysis and modeling to support business decisions. Ensuring data integrity and … validity through appropriate statistical methodologies. Interpreting complex data sets and presenting findings in an accessible manner. Developing predictive models and conducting hypothesis testing as required. Supporting our projects in improving data collection and analysis processes. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume More ❯

Consultant, you will have the opportunity to: Solve complex client problems using a variety of data analytics technologies and techniques including but not limited to: data processing and engineering, statistical analysis, data visualisation, machine learning, simulation and optimisation techniques Develop solid and insightful analytics products using data engineering and data science techniques across a variety of industries and … business problems Lead the development of analytical work packages directly with Manager, Director or Managing Director support Support the development of complex data analytics tools and analysis' across the whole analytics project life cycle: Scoping, Design, Develop, Test and Deliver Work within a team of data analytics experts and collaborating closely with a range of industry leading specialists across … technical expertise across a number of technologies and techniques, covering at least 3 of the following Data Manipulation and ETL Data visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure or More ❯

additional years of related experience beyond the minimum required may be substituted in lieu of a degree). Minimum 6 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering … Computer Science, or Related Field with Core Quantitative Curriculum and 4 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research. Experience driving communication verbally and in writing quantitative/technical concepts and conclusions to non-technical audiences, senior leadership, auditors, and/or regulators. Strong programming skills in R, Python … development including setting model specifications, assumption testing, data quality assessments, variable selection, back-testing, benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees More ❯

additional years of related experience beyond the minimum required may be substituted in lieu of a degree). Minimum 6 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering … Computer Science, or Related Field with Core Quantitative Curriculum and 4 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research. Experience driving communication verbally and in writing quantitative/technical concepts and conclusions to non-technical audiences, senior leadership, auditors, and/or regulators. Strong programming skills in R, Python … development including setting model specifications, assumption testing, data quality assessments, variable selection, back-testing, benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees More ❯

annum Location: UK Hybrid - With occasional travel to a hub Contract Type : Permanent (full time) Our Team IFRS9 and Stress Testing team work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money's Model Risk and Analytics function. We use data to support the business through model building used for regulatory reporting or providing actionable … insights from the data. We draw on statistical modelling techniques to produce the best possible predictive models. What you'll be doing Operate as a modelling expert across all modelling projects and wider business development within IFRS9 and ST team. Lead the scoping, design, development, validation and implementation of credit risk models for unsecured Retail portfolios, in line with … Bank standards and regulatory compliance requirements. Independently leading statistical analysis to ensure the unsecured Retail portfolios loss provision models currently in operation remain robust and fit for purpose. Leading key discussions and presenting analytical findings and solutions to a range of stakeholders both within and external to the modelling area. Provide first-class model documentation and recommendation papers More ❯

model performance and ensure accuracy. Extract and prepare data for model training and analysis. Collect, clean, and analyze data for program complexity estimation and forecasting. Develop and implement data analysis methods for determining program complexity drivers. Conduct meta-analysis studies to estimate actual work effort based on program complexity. Collaborate with cross-functional teams to ensure project success. … Strong analytical and problem-solving skills to understand complex data sets and derive actionable insights. PREFERRED EXPERIENCE: 3+ years of combined experience in machine learning model development, data analysis, and statistical modeling. Strong understanding of machine learning algorithms, model evaluation metrics, optimization techniques, and statistical analysis techniques. Demonstrated ability to implement, validate, and improve supervised and … machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or related frameworks. Experience in evaluation metrics, model selection, and validation techniques such as cross-validation, bootstrapping, and assessing the statistical significance of model improvements. Excellent knowledge of data analysis, visualization, and preprocessing techniques. Familiarity with tools such as Pandas, NumPy, and Matplotlib. Experience deploying Classical and Modern Time More ❯

and future business intelligence roadmap of XCM • Work closely with owners of data source systems to gain insights into their capabilities and limitations • Deliver minimally to moderately complex data analysis to support business needs • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications • 5+ years of analyzing and … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git Basic qualifications • 5+ years of analyzing and interpreting … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git If you are interested please apply or send More ❯

and future business intelligence roadmap of XCM • Work closely with owners of data source systems to gain insights into their capabilities and limitations • Deliver minimally to moderately complex data analysis to support business needs • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications • 5+ years of analyzing and … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git Basic qualifications • 5+ years of analyzing and interpreting … such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code review and version control tools, such as git If you are interested please apply or send More ❯

This position is expected to work 20 hours a week. Required Skills At least 2 years of experience as a Data Analyst Statistical Analysis/Data Science experience Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Preferred Skills Military service experience or background in working with veteran populations Communicate and Present projections … analyze datasets to identify trends, patterns, and insights to inform veteran homelessness plan development. -Ability to collect, clean, and validate data to ensure accuracy and reliability. -Ability to employ statistical analysis to predict future resource needs to end veteran homelessness. -Ability to clearly communicate findings and projections to the program coordinator, department director, project team and all other More ❯

customers, relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner.The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … customers and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues.Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance.*Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement.*Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy.*Responsible for producing, visualising, and More ❯

relating to data integrity, reporting accuracy, and performance insights are satisfied in a timely and efficient manner. The Data Analyst will lead and facilitate the use of various data analysis processes and tools, striving toward standardised data management and reporting practices across the business. The role supports forecasting, performance modelling, data-driven decision-making, and reporting for key business … and internal teams through accurate reporting, proactive analytics, and early identification of performance or process issues. Skills and Responsibilities *Support key business portfolios through the use of appropriate data analysis and problem-solving techniques to provide regular performance and trend reporting for products, services, or platforms, using data from multiple sources, with strong attention to detail and analytical rigor. … Perform statistical analysis including data categorisation, trend analysis, variance analysis, and identification of significant factors affecting business performance. *Monitor key metrics through dashboards and early warning systems to identify risks, inefficiencies, or opportunities for improvement. *Standardise data analysis and reporting methods across the business to drive simplicity, efficiency, and accuracy. *Responsible for producing, visualising, and More ❯

address business problems by understanding the characteristics of data sets, identifying patterns, and training end users on completed solutions to drive adoption. Analyze large and complex data sets using statistical methods and data visualization tools to support storytelling. Continuously monitor and evaluate data sources and analysis methods to ensure accuracy and reliability. Develop and maintain an understanding of … well as external sources, as needed to support analytic efforts. Work with stakeholders across functional departments to answer data-related questions and assist with ad hoc reporting and data analysis projects. Support the creation and maintenance of high-quality data at all phases of the lifecycle by contributing to decisions impacting data creation, transformation, storage, and governance. Stay up … Bachelor's or Master's degree in a relevant field (e.g. data science, statistics, communication, marketing) or equivalent experience. Experience: Required: Minimum of 7 years of experience in data analysis, visualization, and storytelling. Proven ability to explain complex concepts to non-technical audiences. Desired: Experience working in consulting, legal, or other professional environments that require continuous learning and regular More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

reporting and evaluation. The opportunity We are seeking an experienced Data Analyst to join the team The primary role of Data Analyst is to generate business intelligence, through the analysis of data, to convey insight and to measure and optimise the effectiveness of marketing. The Data Analyst will own strategic reporting and ensure KPIs, forecasts and targets are data … the best digital and CRM data Performance reporting and insight Drive the interpretation of cross-channel performance to support decision-making and campaign planning Support campaign leads with performance analysis, identifying variances from forecasts and recommending corrective action Collaborate with Analysts and Marketing to ensure reporting accuracy and data consistency Communication and collaboration Communicate effectively and professionally with internal … and support our Digital Analyst and Data Executives in forecasting, reporting and performance evaluation Data management Data manipulation and pre-processing: Acquire, extract, organise, deduplicate and transform data for analysis and reporting Data quality: Measure and manage data quality in the database to ensure data is kept updated and gaps addressed Segmentation: In conjunction with the Data Executive, ensure More ❯

databases, surveys, interviews, and digital analytics tools. Monitoring and capturing information about market trends, competitor products, pricing strategies, and promotional activities. Cleaning and organizing raw data to prepare for analysis using statistical software and tools such as Excel, SPSS, R, Python, or Tableau. Analyzing data sets to identify patterns, trends, correlations, and opportunities within the market. Interpreting findings … meetings, webinars, or workshops as needed. Key Skills and experience: Bachelor’s degree in business, economics, statistics, marketing, or a related field. Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Excellent written and verbal communication skills for presenting complex data in accessible terms. More ❯

databases. Proven experience with Informatica Cloud, including strong knowledge of Informatica Data Quality (IDQ) for data profiling, cleansing, and monitoring. Strong analytical and problem-solving skills, with expertise in statistical analysis and data modeling. Proficiency in data visualization tools (e.g., Tableau, Power BI). Experience with ETL processes, data warehousing, and data pipeline development. Excellent communication skills, with More ❯

Parquet, Avro, Apache Iceberg, Delta Lake), Orchestration and DevOps Business Intelligence and analytics solutions such as Tableau, Power BI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques such as time series analysis, Advanced SQL, and statistical analysis (e.g. Linear regression, variance analysis, modelling, and forecasting) AI/ML fundamental understanding of key concepts such as classification, regression, clustering More ❯

and optimize SQL queries for data extraction, manipulation, and analysis. Collaborate with cross-functional teams (business, product, operations, and technology) to define data needs and deliver actionable insights. Apply statistical techniques and data modeling to evaluate business performance and forecast future outcomes. Ensure accuracy, integrity, and security of datasets by implementing proper data governance practices. Present clear, concise, and … field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving skills with attention to detail. Strong communication … skills to explain complex data in simple terms. Preferred Qualifications Experience working with large datasets and relational databases. Knowledge of data warehousing concepts and ETL processes. Background in business analysis or domain-specific data analytics. What We Offer Pre job Industrial Training to prepare you for the job. Certification, resume preparation will be done. Employer's Confirmation Letter/ More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilitie sLead data analysis initiative s across the subscriber lifecycle, from acquisition to retention and lifetime value .Define and maintain report s to track KPIs, providing actionable insights to stakeholders across the business … in a subscription-based busine s s.Strong commercial acum en, with the ability to translate data insights into business strategie s.Advanced analytical and quantitative skil ls, with expertise in statistical analysis and predictive modelin g.Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studi o.Excellent stakeholder management skil … non-technical audience s.Knowledge of data science and machine learning techniqu es applied to subscription-based businesses, including churn prediction and lifetime value modelin g.Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM ). Example proje cts The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilitie sLead data analysis initiative s across the subscriber lifecycle, from acquisition to retention and lifetime value .Define and maintain report s to track KPIs, providing actionable insights to stakeholders across the business … in a subscription-based busine s s.Strong commercial acum en, with the ability to translate data insights into business strategie s.Advanced analytical and quantitative skil ls, with expertise in statistical analysis and predictive modelin g.Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studi o.Excellent stakeholder management skil … non-technical audience s.Knowledge of data science and machine learning techniqu es applied to subscription-based businesses, including churn prediction and lifetime value modelin g.Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM ). Example proje cts The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using More ❯

Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines. Review and Feedback: Provide detailed, constructive feedback on model and other outputs Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices. Data Validation: Validate and correct datasets to ensure high … JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection) Game AI (Specific AI for intelligent opponents, understanding game states, actions, rewards) Data Science & Engineering Data Analysis & Manipulation (including Pandas, Matplotlib, Seaborn, NumPy … statistical analysis, general data processing, visualization libraries) Database Management (SQL, NoSQL, SQLite, data storage Algorithms & Mathematics Algorithms (General and specific like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems) Software Engineering Practices & Tools Version Control (Git/GitHub) Coding Best Practices: A solid understanding of clean code principles, software design patterns, and More ❯

as internal databases, external APIs, and third-party tools. Clean, validate, and transform raw data into usable formats. Maintain and update databases to ensure data integrity and accuracy. Perform statistical analysis to identify patterns, trends, and correlations. Conduct deep dives into specific business problems to provide recommendations based on data insights and solutions. Create dashboards, reports, and data … technical problems to a variety of audiences Ability to manage multiple projects and meet deadlines. Programming skills in Python, R, or other analytical tools (nice to have) Familiarity with statistical methods and machine learning algorithms (nice to have) Why you’ll love life at Veran Veran Performance offers a dynamic and inclusive work environment that fosters growth, collaboration, and More ❯

as internal databases, external APIs, and third-party tools. Clean, validate, and transform raw data into usable formats. Maintain and update databases to ensure data integrity and accuracy. Perform statistical analysis to identify patterns, trends, and correlations. Conduct deep dives into specific business problems to provide recommendations based on data insights and solutions. Create dashboards, reports, and data … technical problems to a variety of audiences Ability to manage multiple projects and meet deadlines. Programming skills in Python, R, or other analytical tools (nice to have) Familiarity with statistical methods and machine learning algorithms (nice to have) Why you’ll love life at Veran Veran Performance offers a dynamic and inclusive work environment that fosters growth, collaboration, and More ❯

enforce standard practices around delivery processes with version and change control. Stay current with emerging trends, techniques, and technologies in data science to drive innovation within the company. Data Analysis and Modelling Employ diverse data sources to conceptualise and construct advanced models and algorithms, addressing intricate business challenges. Transform business issues into machine-learning problems, using domain knowledge to … informed decision-making. About You Ph.D. or master’s degree in data science Proven track record of leading data science projects Strong expertise in data engineering, NLP, machine learning, statistical analysis, data mining, or data visualisation techniques. Strong experience with Git-based version control (GitHub/GitLab), including branching, merging, and collaborative code management. Proficiency in programming languages More ❯