trends related to analytics and product development. - Ability to work effectively with management and other groups or project teams. - Computer literacy and experience in statistical analysis. - Excellent communication skills. - Good organisational skills. Are you interested or know someone who might be? Reach out to Danielle Hull using the following 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 statisticalanalysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have more »
test and characterization methodologies for silicon carbide power semiconductor devices to understand their reliability and failure mechanisms in operation. Design experiments and co-ordinate statistical studies to determine device reliability, for example gate oxide lifetime marathon test, time-dependent dielectric breakdown. Develop screening and burn-in procedures for SiC … the field of semiconductor technology; Experience in reliability testing of SiC MOSFETs and diodes, both at wafer- and package-level; A good understanding of statisticalanalysis and design of experiments; Knowledge of semiconductor TCAD tools for device simulation, i.e. Synopsys Sentaurus, Silvaco Victory; Background in electronics engineering for 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 statisticalanalysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have more »
and cyber security applications to safeguard users data · Prepare a report log on daily occurring queries to the development team · Monitoring data quality, performing statisticalanalysis of data Desirable Requirements · Strong knowledge about SQL data and Excel skills · ¾ years’ experience as a help desk Qualifications and Experience: · A more »
advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statisticalanalysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their … business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis more »
thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates Consumer Credit Review report to summarize analysis and issues identified based on assessment on asset quality and credit risk management practices. This position will closely monitor performance of credit strategies and … thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statisticalanalysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their … business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and more »
leader in Product & Operations Analytics through developing an understanding of our customers (including customer lifetime value), products, and features. This includes developing reporting, automation, analysis, and modeling for a wide variety of customer experiences from the customer's initial onboarding through customer attrition, as well as all experiences in … thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statisticalanalysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their … business needs, formulate, and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design, and implement tests to drive strategy enhancement and more »
of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners. Operates as a subject matter expert on statisticalanalysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Establishes and maintains effective performance tracking; identify improvement more »
be varied, and because of the relatively small size of the company, means your work will include a variety of project types including: Product analysis looking at player behaviour in games. Identifying how changes and game updates are affecting player behaviour. Whether its improving user experience, driving enhancements to … monetisation, or answering business related questions which arise from time to time about the player base Providing statisticalanalysis through the application of advanced analytics and data science techniques looking at customer churn prevention strategies and prediction, pricing and reward strategies and mechanics. With a firm understanding of … statistical significance Commercial analysis and game analytics deep diving into game performance and providing actionable insight around player and commercial objectives. Including recommendations based on those insights. Design and carry out testing through split run analysis experiments on the player base Providing data visualisations to bring the 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 statisticalanalysis as required. Experience, Qualifications and Skills Experience Previously held Buying role with knowledge of take offs, schedules and budgets required. Qualifications and more »
UK. The role is based in the UK and Ireland with the opportunity to be office based or fully remote. What youll be doing: Statisticalanalysis of marine mammals and modelling of population and habitat use data. Tender preparation including costing and writing of technical sections. Provide advice more »
Development team, you will play a pivotal role in leveraging data to drive innovation and solve real-world problems. Utilising you're expertise in statisticalanalysis, data modelling and problem solving in order to shape the direction of product and services. THE ROLE The successful Statistician responsibilities will … use this to highlight problems with customers, they then use this data to build a model to fix the issue Data crunching unstructured data, analysis, finding out the problems, utilising exploratory and statisticalanalysis Working on real life production data, solving real life business problems, including financial … they think will work as a solution. Working closely with the C-Suite on a daily basis YOUR SKILLS AND EXPERIENCE SQL & Python for statisticalanalysis within a product environment BSc or MSc in mathematical/stem based subject THE BENEFITS Up to £70,000 + benefits Hybrid more »
learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statisticalanalysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct … statisticalanalysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data … science group. Responsibilities Building and testing credit and fraud risk statistical models to be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes more »
and manage data requirements collaboratively with business partners. • Develop, maintain, and optimize data models and databases to improve data accuracy, accessibility, and reliability. • Apply statisticalanalysis methods to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI … techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate hypotheses for testing. • Design and implement data visualization techniques to present complex data insights in a user-friendly and intuitive manner. … solving business challenges. • Provide technical guidance and mentorship to junior team members and contribute to knowledge sharing within the organization. • Maintain documentation of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need • Bachelor's degree in computer science, data, statistics, mathematics, or a more »
NJ, USA and presence in other 20+ countries-India, Denmark, UK, Singapore etc. (www.tech-observer.com) We are hiring for following roles on FSP: a. Statistical programmers : 5-8 years of exp in clinical SAS Programming Senior Statistical Programmers : 8-12 years of exp in clinical SAS Programming b. … Principal Statistical programmers : 12+ years of exp in clinical SAS Programming Location -United Kingdom (candidates eligible to work in UK shall be considered) Work Timings : US Timings (EST -3 days and PST -2 days) Job Responsibilities- 1.Compliance with working SOPs within the framework of the Quality Management System and … guidelines. 2. Implement and follow the latest versions of CDISC, FDA Guidelines, GCP and other industry standards. 3. Participate in and co-ordinate the Statistical Programming review of Case Report Forms (CRFs), annotated CRFs, database structures and study related documentation (e.g. data validation guidelines). 4. Review and interpret more »
large datasets from multiple sources to ensure data integrity and reliability. Develop machine learning models and algorithms to optimize user engagement, customer segmentation, cohort analysis and pricing strategies. Conduct exploratory data analysis to uncover patterns, trends, and correlations that inform product development and marketing initiatives. Build and deploy … in programming languages such as Python or R, along with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Pandas. Strong knowledge of statisticalanalysis, hypothesis testing, and experimental design. Experience with SQL databases, data warehousing, and big data technologies. Familiarity with data visualisation tools such as 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 statisticalanalysis, 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 »
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 statisticalanalysis (for example R or Python) Experience using bioinformatics workflow languages (such as Nextflow or WDL) Experience in LINUX administration Disclosure and Barring more »
and dashboards for the project and external clients. Data Organisation : Structure data to ensure compliance with WBS, CBS, and OBS for consistent reporting. Trend Analysis : Use data to predict trends and perform statisticalanalysis, visualising data in user-friendly formats. Digital Reporting : Implement digital reports and dashboards … using data from the Data Lake. Support Monthly Reports : Provide intelligent information and analysis for monthly report production. Training and Support : Develop training materials, conduct sessions, and provide user support. System Administration : Manage system configuration, testing, user administration, and licence management. Innovation : Attend industry events to innovate and advance more »
Effectively communicate findings to both technical and non-technical stakeholders through presentations, reports, and visualizations. Provide actionable insights and recommendations to stakeholders using data analysis, to help them make informed decisions and drive business growth. Stay updated with the latest industry trends across data & analytics leveraging technologies to improve … business capabilities. Requirements: Background in leading teams and driving stagey across Data Science and Analytics. In-depth knowledge of statisticalanalysis techniques and methodologies Proven experience in data analysis and visualization tools, such as SQL, Tableau, Power BI, or similar tools Excellent communication skills, presentation skills and more »
of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statisticalanalysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate … flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and more »
Leeds/Newcastle upon Tyne (Hybrid), United Kingdom Hybrid / WFH Options
UK Health Security Agency
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 statisticalanalysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently more »
impact on the commodity markets. You will work closely with data engineers focusing on the analytics and modelling side of the platform being built. Statisticalanalysis, weather mapping and visualisation reports will be required to show the impact of the prices on the commodities markets. This is a more »