1 to 25 of 29 Statistical Analysis Jobs with Remote Work Options

knowledge to independently perform the Programming tasks. Main Job Tasks and Responsibilities: Responsible for protocol development including study design, sample size calculation, randomization, and statistical analysis plan for assigned studies. Provide statistical oversight to studies and assure adequate quality and consistency with project requirements. Responsible for assuring … that data for statistical analyses are complete, accurate and consistent. Responsible for statistical analysis plans and the accuracy and timeliness of statistical input into reports or decisions. Responsible for validity of analysis and explore alternative analysis strategies as needed. Demonstrates extensive understanding of statistical concepts and methodologies. Recognizes and corrects flaws in scientific reasoning and statistical interpretation. Responsible for accuracy and consistency of statistical tables, figures, and data listings, accuracy of report text, and consistency between summary tables in the body of reports and the corresponding source tables and listings. Responsible more »

using virtual and serveless hardware, deployment quantitative models to production. The systems include market data loading, pricing, sensitivity based risk analytics, historical back-testing, statistical analysis of relevant market data, numerical implementations of analytical modules in Python. Barclays is one of the world's largest and most respected … cutting-edge machine learning and artificial intelligence methodologies to enhance Market and Counterparty credit risk monitoring and management Developing computational methods and mathematical and statistical models, including VaR/CVaR, stress-VaR to be used for risk management applications Researching, formulating, and implementing quantitative models and solutions to optimize … to facilitate counterparty risk management, including cash usage, balance sheet, liquidity, and regulatory capital What we re looking for: Natural language processing and sentiment analysis Attention based transformer architectures, e.g. Google s open-source BERT Experience in supporting machine learning models in production Hands-on programming skills in Python more »

using virtual and serveless hardware, deployment quantitative models to production. The systems include market data loading, pricing, sensitivity based risk analytics, historical back-testing, statistical analysis of relevant market data, numerical implementations of analytical modules in Python. Barclays is one of the world's largest and most respected … model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production Experience in development and support of quantitative development process, including statistical and machine learning models Analytic skills: financial mathematics, time series, statistical analysis, numerical analysis, etc Where will you be working? Our more »

Responsibilities Client engagements Lead day-to-day activities of multiple evidence synthesis projects with the support of junior team members, including the development of statistical analysis protocols (SAP) and conduct of feasibility assessments, evidence synthesis by means of meta-analysis, indirect treatment comparison or network meta-analysis (frequentist or Bayesian) with patient-level and/or aggregate data from RCTs Provide senior technical and statistical leadership and effective ad hoc problem-solving support to the delivery of diverse evidence synthesis projects Edit, review, and develop scripts to ensure accurate and efficient implementation tailored to specific … JAGS and R is required, and knowledge of Stan is desirable Provide technical guidance, input and quality control for key deliverables (e.g., draft protocols, statistical analysis plans, reports, manuscripts) Support project implementation including overall project management and client engagement Business development Conceptualize evidence synthesis engagements in response to more »

and/or professional experience in analytics and modelling. Extensive hands-on R and version control experience. Extensive experience in manipulating large datasets, performing statistical analysis, running machine learning models, and visualising results using the R ecosystem. Confidence in extracting practical insights from large data sets against a … broad range of business questions. Outstanding communication skills, with the ability to convey complex statistical concepts to non-technical audiences. Curiosity about analysing human and consumer behaviour, or in brands and how they can grow. Proven experience managing a project workload effectively and delivering work to deadlines. Whilst not … and/or professional experience in analytics and modelling. Extensive hands-on R and version control experience. Extensive experience in manipulating large datasets, performing statistical analysis, running machine learning models, and visualising results using the R ecosystem. Confidence in extracting practical insights from large data sets against a more »

analysts, utilizing your expertise in Python, R, SQL, MATLAB, and other relevant technologies. Responsibilities: Collaborate with stakeholders to understand business requirements and identify data analysis needs. Conduct data analysis to identify patterns, trends, and insights that drive business decisions. Develop and maintain data visualizations and dashboards to provide … clear and actionable insights to stakeholders. Assist in the optimization of sales funnels and forecasting models through data analysis and statistical modelling. Collaborate with cross-functional teams to improve data quality, integrity, and governance. Work within the marketing function to enable growth using Data Analytics and Insights. Skills … paced environment. Strong proficiency in Python, R, and MATLAB, Experience with data visualization tools such as Tableau, Power BI, or D3.js. Solid understanding of statistical analysis and predictive modelling techniques. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills to more »

solution delivery. The successful candidate(s) will be expected to: Lead commissions in area of efficiency & value identification, assurance & continuous improvement, construction economics research & analysis, and general data advisory services. Have experience in one or more of the following technical disciplines: Cost Model and/or Cost Estimate development … Statistical Analysis to support benchmarking and efficiency exercises Business Cases development and Cost Benefit Analysis Evaluation of strategic options to support investment decisions Design business models. Identify cost reduction opportunities through benchmarking and efficiency exercises Possess analysis capabilities which can be applied to client and industry … delivery Demonstrable experience and/or relevant qualification in one or more of the following: cost modelling, cost estimation, business case development, cost-benefit analysis or statistical analyses. Knowledge and interest in the infrastructure sector and its ongoing developments Strong capability in the Microsoft Suite of products Effective more »

/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £70,000 Location: London Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency … in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models … to tackle real-world issues and refine them as necessary. Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and more »

expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »

expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »

expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. … of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning more »

training centre. Job description Job responsibilities Please refer to the Job Description for full details. As a Clinical Scientist (Bioinformatics) key duties include: Data Analysis & Interpretation : Conduct comprehensive analysis of genomic data using bioinformatics tools and methodologies. Interpret results in the context of rare diseases and cancer to … experience of successful project management Experience in IT, applications, developments, processes and organisation Knowledge and skills Essential Knowledge of Next Generation Sequencing approaches and statistical techniques used in manipulation of large data analysis Knowledge of bioinformatic tools, resources and techniques applied to medical genetics Proven experience of working … suitable for pipeline development and ad hoc scripting Knowledge of SQL database design, development, and administration Desirable Programming skills in a language suitable for statistical analysis (for example R or Python) Experience using bioinformatics workflow languages (such as Nextflow or WDL) Experience in LINUX administration Disclosure and Barring more »

Strong experience in Dimensional Data modelling, data warehousing, data processing (Map Reduce) Team Lead/Mentoring experience Expert in SQL and at least one statistical analysis programming language (R, Python or Julia) Proficient in at least one BI tool (Power BI, Tableau, Qlik Sense). Key responsibilities Manage … SQL Analytical programming language (Python (preferred), R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident … presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an agile team This is a Hybrid role and will require at least 1 day week, ideally two in the HQ in Exeter If you are a highly motivated more »

We are seeking a highly skilled Quant Analyst to join the London team. The ideal candidate will bring a wealth of experience in quantitative analysis, a deep understanding of financial markets, and a passion for leveraging data to drive trading strategies. This role involves close collaboration with various teams … optimise trading models and strategies. Here's what you'll be doing: Developing, implementing, and maintaining quantitative models for trading strategies. Conducting rigorous data analysis to identify market opportunities and risks. Collaborating with traders and other analysts to enhance trading algorithms. Utilising statistical and machine learning techniques to … sets. Continuously monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills you'll need: Strong background in quantitative analysis, finance, mathematics, or a related field. Track record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python more »

We are looking for a talented machine learning engineer to join the team and be part of the early journey of building a proprietary analysis tool based on predictive machine learning models that aim to identify attractive investment opportunities by valuing financial, environmental and social metrics. This is a … as optimising existing machine learning libraries and frameworks. Developing ML algorithms to analyse huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Skills/Experience You believe in Bageera s vision (and you re willing to 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 »

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 »

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 »

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 »

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 »