76 to 100 of 167 Statistical Analysis Jobs

diagnostics that will improve the lives of people with unmet medical needs. You will report directly to the VP of population genetics as a Statistical Geneticist to help make healthcare more personalised, preventative and predictable. This rapidly growing company is headquartered near Oxford, UK. What will you be doing … engineers whilst analysing and interpreting internal product experiments Communicating findings with your team and project partners in a collaborative style Requirements: Ph.D. in biostatistics, statistical genetics, population genetics, genetic epidemiology or MSc with 3+ years' experience in relevant fields. ??In-depth understanding of genetics, genetic variation, and analytical techniques … such as GWAS and PRS Strong programming skills in Python ??Proficiency in resolving statistical analysis challenges using structured workflows ?? Comfortable with handling and analysing complex, large-scale datasets using a variety of statistical, Al, and Machine Learning methods Clear and actionable communication of intricate quantitative analyses ?? Valuable more »

Proven experience liaising with key stakeholders and handling accounts in a media setting. Excellent experience and ability building models in Marketing Effectiveness ( MMM , Econometric Analysis , Statistical Analysis ). Ability to lead and mentor the analytics team, as well as knowledge of media data systems and disaggregate data more »

analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers and business experts to scope and design the … Science tools and processes Experience with Azure, Amazon or Google cloud architecture Knowledge of the data landscape in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency more »

new and ongoing projects, providing actionable insights to clients, and harnessing data to enhance decision-making processes. You'll spearhead data mining endeavours, conduct statistical analyses, implement state-of-the-art machine learning methodologies, and derive insights while constructing predictive models from both structured and unstructured data sets. You … data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets Familiarity with software engineering principles and collaborative programming more »

fundamentals, and geopolitical factors, to enhance model performance and profitability. Optimize models for execution efficiency, liquidity management, and risk control. Conduct backtesting and simulation analysis to assess model performance under various market conditions and refine model parameters. Requirements: Advanced degree (Ph.D. or Master’s) in quantitative finance, mathematics, statistics … skills in in either Python or C++ Solid understanding of financial markets, trading strategies, and risk management principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving 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 »

PoC, Assets) We are looking for passionate and driven individuals with: Proficiency in R Programming: Mastery of R programming language, including data manipulation, visualization, statistical analysis, and package development. Advanced Shiny Development: In-depth understanding of Shiny framework, including reactivity, modules, layouts, and custom input/output components. more »

Trader will play a pivotal role in executing trading strategies, managing positions, and optimizing profitability in the gas and power markets. Key Responsibilities: Market Analysis: Conduct in-depth analysis of gas and power markets, including supply and demand dynamics, infrastructure constraints, regulatory developments, and market trends to identify … understanding of gas and power markets, including physical and financial products, market structures, trading protocols, and regulatory frameworks. Excellent quantitative skills, including proficiency in statistical analysis, quantitative modeling, and risk management techniques. Strong communication and interpersonal skills, with the ability to interact effectively with clients, colleagues, and stakeholders … in a fast-paced trading environment. Proficiency in trading systems and software, including experience with electronic trading platforms, market data analysis tools, and risk management systems. Knowledge of energy derivatives, options pricing, and volatility trading strategies is a plus. more »

research papers to populate and expand a unique Social Value Database and Simulator for public health Providing necessary quantitative and data gathering, collation and analysis support to progress COVID-19 related health economics and modelling work, as well as expand to other priority areas Strengthening capacity to develop innovative … Welsh and/or English speakers are equally welcome to apply. Person Specification Qualifications Essential Educated to degree level or equivalent in a mathematical, statistical, health economics, computer-science or similar discipline Desirable A Masters degree in relevant discipline or equivalent Experience & Knowledge Essential Experience of verbal and written … projects delivering against targets Understanding of health economics and economic evaluation methodology Knowledge and experience of manipulating large and complex datasets Experience in conducting analysis in a field related to public health, and understanding the application of different types of data Desirable Understanding of health economics and economic evaluation more »

engagement tools. Building predictive and personalization models and deploying products at scale. What should my background look like? You’ll come from a strong statistical analysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have more »

customer-facing role. Foundation in Data Engineering, understanding of databases, data retrieval via SQL or Kusto and experience with data management, data visualization and statistical analysis. Previous experience with cloud platforms such as Azure, AWS or GCP, with a focus on AI/ML services. Relevant networking and security more »

paced environment. Data Scientist Qualifications: Bachelor's degree/MSc in Data Science, Statistics, Computer Science, or a related field. Proven experience in data analysis, reporting, and visualization. Proficiency in data analysis tools, database management, and statistical analysis. Strong problem-solving and critical-thinking skills. Effective communication 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 »

models and pipelines for the clients devices. Implementing and optimising pre-processing pipelines. Collaborating with software engineers to integrate models into production systems. Conducting statistical analysis/modelling on clinical trial data to assess device performance. Drafting technical documentation for regulatory compliance. Ensuring best practice in regard to … data management, version control and model documentation. You will bring the following: Strong statistical expertise. Image processing/computer vision skills. Proficiency in modelling multivariate problems. Ability to develop algorithms from data analysis. Proficient in Python programming for data manipulation. Desirable - Commercial software development experience. Desirable - Exposure to the more »

Information Analyst. You will be assigned to one of our workstreams specialising in a work area whilst supporting our information officers. You will provide analysis and deliver and maintain key information outputs, as well as being proactive and supportive to all work and information requests. You'll generally oversee … to detect data anomalies. Highly developed organisational and time management skills. Ability to analyse multiple and complex data sources to provide information reports and statistical analysis. Ability to interpret information requirements. Ability to work accurately under pressure and to respond to unplanned requests for support and information. Desirable Advance … Computing or Informatics qualification. MOST Excel qualification or equivalent knowledge/experience. Experience Essential Experience of using Microsoft Office applications to carry out data analysis, manipulation, use of access and reporting writing. Experience in the use of SQL to process, arrange and manipulate data. Experience in the use of more »

Senior Stakeholders alongside creating general reports. Requirements: Proficiency with Power BI and DAX or similar data visualisation and ETL tools. Proven experience in data analysis, minimum 2 years Advanced Expertise in Excel, including modern functions, Power Query and data visualisation Proven track record in computational modelling & or statistical analysis, and Machine Learning Having a working knowledge of using SSRS would be an advantage Responsibilities: Data Management: Work along with our team to engineer the best solutions for reports from a 'Single Source of the Truth'. Data Analysis and Modelling: Utilise ETL tools to analyse more »

NoSQL database technologies. Experience with AWS technologies are required. Strong analytical and problem-solving skills with an understanding of common mathematical principles used in statistical analysis. Proven ability to work independently designing, developing, and deploying solutions with minimal direction. Experience designing and developing platform level components including event architectures more »

ensure understanding of total project schedule needs. • Identifies schedule considerations and problems resulting from inter-discipline or functional restraints and interfaces. • Conducts project schedule analysis and studies of problem areas to determine the criticality of schedule activities. • Responsible for leading, when requested, the development and review of schedule recovery … plans, including evaluation of additional resources/costs required to affect such plans. • Responsible for cost engineering and cost analysis/control activities for projects with significant non-routine requirements or for discipline/projects/proposal cost activities that require a high degree of technical skilled experience. Qualifications … 12+ years of professional experience. Additional Qualifications • Experience in performing, monitoring, and reviewing cost engineering functions, which include cost estimating, cost control, and cost analysis, in the field and the home office. • Advanced level of proficiency in using PC operating systems and software applications such as Excel, Word, and more »

our Self-Service Analytic Initiatives. In addition, you will play a crucial role in generating prescriptive insights through the gathering of data and conducting statistical analysis. This role is 100% on-site in Indianapolis. Primary Responsibilities Develop, implement, and maintain Self-Service Analytic Initiatives Gather and analyze data to … identify trends and patterns Conduct statistical analysis on various data types and test to generate prescriptive insights Collaborate with cross-functional teams to translate data into actionable recommendations Stay up-to-date with industry trends and advancements in data Identify data gaps, find data sources to fill these … recommendations for additions to our data environment Design, implement and maintain reporting dashboards and KPIs with emphasis on automation Create decision support tools and analysis related to pricing initiatives and program changes Complete periodic variance analysis including researching POS level data for insights Prepare and deliver presentations describing more »

Data Reports utilising data visualisation tools, improving the current reporting systems and providing solutions for replacements where needed. Responsibilities: In the realm of data analysis and modelling, one's responsibilities include utilising SQL for the extraction, transformation, and analysis of data from diverse sources. This also encompasses the … creation of data models and the execution of statistical analyses to unearth trends, patterns, and anomalies. Expertise in Excel is demonstrated through proficiency with advanced formulas, pivot tables, and data visualisation techniques. This expertise is further applied in collaboration with stakeholders to develop and maintain intricate spreadsheets that serve more »

Description: NOT A REMOTE POSITION The IT Data Analyst is primarily tasked with designing, generating, and analyzing ad hoc reports using statistical methodologies to bolster Prime Health Services' medical bill reduction products. This entails a keen focus on improving data quality and consistency, supported by in-depth statistical analysis. The role involves analyzing process controls, establishing common vocabulary, and conducting root cause analysis to fulfill program data requirements. The findings derived from statistical analysis are communicated to the Client Services Team for dissemination to current and prospective Clients. Moreover, the IT Data Analyst is … expected to possess a robust understanding of the claims adjudication process and apply statistical techniques when recommending courses of action, leveraging proprietary Prime Health Services (PHS) technologies. Reporting to the IT Data Analytics Manager, the IT Data Analyst collaborates extensively with Client Services, Sales, Account Management, and other departments more »

in collaboration with key stakeholders to identify the root cause of product performance issues and optimise processes. Review, assess, and, where required, perform suitable statistical analysis on data generated due to, or in relation to, a technical investigation. Interpret, summarise, and present results to the required standard. Comply … have extensive relevant industry experience. You will also require the following: Relevant transferrable skills through experience in a manufacturing environment with knowledge of data analysis tools and techniques and statistical software packages. Demonstrable experience with immunoassay, problem-solving and troubleshooting. Multidisciplinary laboratory skills and practices. We have great more »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … successful candidate will have the following skills and experience: Strong SQL/R/Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator more »

you will play a crucial role in supporting the financial operations of our catering and client services, ensuring accuracy and efficiency on all data analysis and subsequent recommendations. If you have a previous background in finance, excellent analytical skills, and previous experience within the hospitality or catering industry , we … including catering orders, sales records, customer feedback, and operational reports. Data Processing: Clean, pre-process, and organise data to ensure accuracy and consistency. Data Analysis: Utilize statistical techniques, data mining, and predictive modelling to extract meaningful insights from the data. Performance Tracking: Monitor key performance indicators (KPIs) such … as sales trends, customer preferences, order volumes, and profitability. Trend Analysis: Identify patterns and trends in catering data to anticipate customer demand, seasonal variations, and market trends. Forecasting: Develop forecasting models to predict future catering demands and optimize inventory management. Reporting: Prepare comprehensive reports and dashboards to communicate findings more »

Clinical Statistical Programmer; Global Pharma, Oncology - Remote - Permanent Proclinical is seeking a dedicated Clinical Statistical Programmer with a focus on Oncology. This is a remote permanent position. Primary Responsibilities: In this role, you will apply your biostatistics skills and experience to support the development of scientifically based arguments … part of our Global Biostatistics department, collaborating with multiple functional areas across the company. Skills & Requirements: Advanced degree (MSc or PhD). Proficiency in statistical programming, particularly SAS. Detailed knowledge of CDISC standards (SDTM, ADAM). Excellent communication skills, both written and verbal, with the ability to communicate complex … statistical concepts to non-statistical audiences. Ability to work effectively in a team environment and to manage multiple projects simultaneously. Attention to detail and the ability to prioritize tasks and meet tight timelines. The Clinical Statistical Programmer will: Support analysis and reporting on clinical projects. Collaborate more »