76 to 100 of 114 Permanent Statistical Analysis Jobs

solutions. Requirements: - Strong experience in machine learning and deep learning techniques - Proficiency in programming languages such as Python, R, or Scala - Solid understanding of statistical analysis and data mining techniques - Experience working with large datasets and data preprocessing - Strong communication and problem-solving skills - A passion for continuous more »

prepare descriptive epidemiology, contribute to the production of outbreak reports, investigate exceedances and interview cases and controls. Undertake complex analytical tasks and use common statistical, database and mapping software and tools to support analysis such as producing tables, graphs, maps etc. and developing advanced queries. Maintain and improve … surveillance data including use of automated routines and through audit and produce and update Standard Operating Procedures. Have knowledge of, apply and interpret basic statistical tests,conduct statistical analyses of surveillance data, produce reports and outputs using common statistical/database/mapping tools such as Stata … R, ArcGIS, network analysis, SQL, etc, respond to routine and more complex data requests and produce routine surveillance reports, including basic descriptive analysis and interpretation of results. For a full list of duties and responsibilities please refer to the attached job description document. About us We pride ourselves more »

e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently more »

other financial institution Strong programming skills in languages such as Python and experience with Rest API Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable High levels of motivation and continually seeking to improve the performance of self and supportive of more »

including the ability to define and drive the delivery of project plans including developing of service transition plans.modern agile software development including Agile Business Analysis, prototyping, APIs, architecture patterns, test automation and DevOps.executing full lifecycle of AI and Analytics implementations from planning to deployment. , including data modelling, machine learning … statistical analysis, data reporting, and visualisation.Focused on accuracy and attention to detail; providing developers and/or data engineers with a clear understanding of specifications/requirements.Client care and relationship development; will work to understand business’ structure and objectives. This will include regular meetings, backlog prioritisation with product more »

years of experience as a data scientist with a proven track record in operations research and optimization problems. You possess a deep understanding of statistical analysis, optimization techniques, and the inner workings of deep learning and reinforcement learning algorithms. You hold specific expertise in dynamic pricing, resource allocation more »

format Utilize software to develop automated reporting solutions where applicable Regularly liaise with Senior Managers and support their requests for information through ad-hoc analysis or automated reporting. Conduct validation and quality assurance procedures for all programs developed and information produced, identifying any inconsistencies with data integrity or incomplete …/incorrect data, and recommending necessary actions. Main duties of the job The post holder will ensure the Data function (capture, analysis and reporting) for the service aligns with the Governance framework and fits the model of practice for the service and will;Take a lead role in planning … and understanding of mandatory reporting requirements, NHS data standards and definitions Knowledge of NHS administrative systems Experience Essential Experience within a health informatics environment Statistical analysis of complex information including the use of advanced statistical packages (e.g. R, SPSS) Experience in transforming data into a meaningful and more »

you are. We are looking for a Junior MI Analyst to be responsible for the management and production of small-scale business information and analysis providing insight and recommendations to analysis and senior analysts on improvements and development. Evri is leading the way in creating responsible delivery experiences … reporting requests and work through in priority order as directed. Providing regular progress updates via workflow tools (Kanban/JIRA) as necessary. Ensuring that analysis activity and day to day tasks undertaken are in line with relevant legislation such as GDPR and user the personal data is fully compliant … changes/fixes meet the requirements of data services governance. To be successful in this role you will require the following… Relevant qualification demonstrating statistical analysis/maths/data advantageous. Highly computer literate with knowledge of MS office package. Highly numerate and comfortable with working with multiple more »

s capabilities and educate stakeholders. Required experience: Master's or PhD in Math, Statistics, or relevant field with a strong focus on machine learning, statistical analysis, and data manipulation. Proven experience in developing, maintaining, and deploying predictive and forecasting machine learning models. Strong background in data clustering (correlation … bring structure to problems. Ability to manage and prioritize multiple projects and change direction quickly. Ability to gather strategic insights beyond the paradigm of statistical significance testing. Desirable experience: Familiarity with energy data, smart grids, demand response, or related fields is a plus. Experience with Airflow and/or more »

Science, Financial Engineering, Financial/Applied/Pure Mathematics, Physics, or a related discipline. Academic skills: probability theory (including stochastic processes) statistics (time series analysis, process estimation) numerical methods (interpolation, integration, regression, root-finding, optimization, linear algebra, Monte-Carlo) Fixed Income financial mathematics Experience: 4-6+ years of … experience in pricing complex derivatives and performing advanced statistical analysis on underlying risk factors. Very strong expertise (3+ years) with Bond Mathematics, Fixed income Pricing and Risk modeling as well as with team management 3+ years in developing risk models (e.g. Historical VaR, Monte Carlo VaR, Multi-Factor … Risk Models, Stressed VaR, and Liquidity Risk models) as well as model evaluation techniques (backtesting, sensitivity analysis, coverage statistics, etc.) Experience providing theoretical justifications of risk models, for internal as well as external stakeholders. Also experience in developing risk model transparency and what-if analytics for risk managers, end more »

Description About this role Title: Trading & Securities Lending Market Risk Manager, ASO/VP Job Description Business Overview The Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock s fiduciary and enterprise risks. RQA s mission is to advance the firm s risk management practices and deliver independent … constructive challenge to drive better business and investment outcomes. RQA s risk managers play a meaningful role in BlackRock s investment process, using quantitative analysis and a multi-disciplinary skillset to tackle real-world problems and provide tangible solutions in the investment management process. RQA is committed to investing … continued development of risk measurement frameworks employed to assess and monitor trading risks at both the platform and asset class level. Deliver impactful quantitative analysis to assess how trading and lending strategies impact client portfolios. Conduct statistical analysis of large datasets to identify meaningful trends and emerging more »

role in the firm's expansion into the HFT space. Key Responsibilities: Develop and maintain automated futures and broader market forecasting strategies. Implement advanced statistical and machine learning techniques to identify alpha signals. Engage in the entire research cycle, including data gathering, idea generation, signal implementation, back-testing, and … algorithmic trading, particularly in high-frequency futures (equity or FI). Proficiency in programming languages such as Python, C++, or Java. Strong expertise in statistical analysis, machine learning, and data mining. Excellent problem-solving skills and the ability to think creatively and strategically. Effective communication skills and the more »

with regulatory and industry standards Monitor model performance tests and assess the appropriateness of models in order to demonstrate policy adherence Conduct mathematical/statistical analysis to calibrate and enhance risk models Collaborate with colleagues on key policy and methodology development Documentation of risk polices and models to more »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »

s unique access to a global pool of verified participants. What you'll be doing Set and execute the data strategy, both for internal analysis and external products. Identify and prioritize high-impact data science projects, such as ML models to improve data quality/fraud detection, optimizing marketplace … environment Strong strategic thinking skills and the ability to align data initiatives with business goals Deep understanding of data science techniques, machine learning, and statistical analysis Experience building and deploying data products and embedding data-driven decision-making across an organization Excellent communication and stakeholder management skills, with more »

services from Cloud providers (AWS, Azure, GCP). Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong more »

Science or a related discipline or relevant professional experience Years of software development experience designing scalable systems related to machine learning or more general statistical analysis Strong software development skills with proficiency in Python or C++ Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink more »

inspections and audits of manufacturing processes, equipment, and products to identify areas for improvement and ensure adherence to quality standards. Analyze data and perform statistical analysis to monitor process performance and identify opportunities for process optimization; to identify the trends for quality improvement targets. Collaborate with cross-functional … investigate and resolve quality issues, implementing appropriate corrective and preventive actions, conduct 8D investigations. Drive continuous improvement initiatives by actively participating in root cause analysis, process capability studies, and process improvement projects. Lead or participate in quality-related training programs to educate employees on quality standards, procedures, and best … Proven experience as a Quality Engineer in a manufacturing environment. Strong knowledge of quality management systems, tools and methodologies (e.g., Six Sigma, Lean Manufacturing, Statistical Process Control, and 8D). Excellent problem-solving and analytical skills, with the ability to identify root causes and implement effective corrective actions. Proficient more »

and site use. Production of computer generated Purchase Orders. Issuing orders to enable waste management systems to be implemented on sites. Collating and submitting statistical analysis as required. Experience, Qualifications and Skills Experience Previously held Buying role with knowledge of take offs, schedules and budgets required. Qualifications and more »

and site use. Production of computer generated Purchase Orders. Issuing orders to enable waste management systems to be implemented on sites. Collating and submitting statistical analysis as required. Experience, Qualifications and Skills Experience Previously held Buying role with knowledge of take offs, schedules and budgets required. Qualifications and more »

externally (white papers, speaking panels, etc.). Partner with other ML groups inside the company to find hybrid solutions and benchmarks. Additional Requirements: Performing statistical analysis on financial, climate and other type of data. Predictive analytics Conceptual modelling Creating examples, prototypes, demonstrations Have the ability to work in more »

Technical front-line support of test processes within the manufacturing cells Investigate product failures and/or process problems in support of root-cause analysis as well as implement recommended robust corrective action(s) within challenging deadlines Perform analysis of process performance data to justify improvement actions Perform … of either support or development of electronics test processes, i.e. Flying Probe, ICT, functional testing Desirable requirements Successful application of structured problem solving and statistical analysis techniques (e.g. Six Sigma) Practitioner of lean manufacturing tools and techniques and an understanding of production metrics (productivity, efficiency, waste) Practical application more »

areas of the business, monitored against key manufacturing KPIs such as yield loss, scrap, and customer complaints. Reduce manufacturing equipment downtime by route cause analysis and driving the implementation of corrective and preventative actions. Evaluate current production activities with the use of statistical analysis tools to identify more »

requirements. Key Responsibilities Batching modelling to support Service Delivery operations and strategic decision making up to 72 hours in advance. Leverage the use of statistical analysis to drive performance Provide insight on future growth potential and impact Drive continuous improvement with new systems Developing new batching templates through … Excel that gives KPI and cost modelling to drive efficiency. Analysis of demand and capacity to gain long-term capacity requirements to maximize growth opportunities. This list is not exhaustive, accountabilities may vary dependent on locality or role complexity and may include any other duties considered reasonable by the … line manager. What youll have: Logical thinking skills with an aptitude for problem-solving An understanding of Data analysis and good numeracy skills Ability to prioritize and work at pace Ability to build good relationships and influence across the functions Good team working skills. You'll enjoy working in more »

data-specific roles. Business Acumen and Strategic Insight, with the ability to translate business needs into technical specifications. Proficiency in data preparation, mining, and statistical analysis The agility to develop custom BI solutions that cater to specific organizational or functional needs. Strong stakeholder management and ability to lead more »