76 to 100 of 168 Permanent Statistics Jobs in the UK excluding London

required for the role of Connected Car Analyst include : • Ideally Degree qualified or equivalent in a relevant engineering discipline • Proficient in MySQL, Tableau and Statistics • Experience of Power tools ie Power Query, Power Pivot, Power Automation, Power apps • Knowledge of Data visualisation tools • Competent with PC applications including Microsoft Office more »

for assistance from users of the e-learning software within client companies identify problems, bugs, database or user errors provide data analyses, reports and statistics to co ordinators of the e-learning programmes within large prestigious organisations worldwide liaise with colleagues in sales, customer success, development to provide excellent customer more »

level or equivalent SKILLS AND ATTRIBUTES: Essential – of the MS Office suite (Work, Excel, PowerPoint) academic background in numerical related fields such as maths, statistics etc. in data gathering and proposal write-ups thinking with the ability to pick up new ideas and subject matter quickly and methodical working practices more »

Provide training and support to colleagues on data processes and tools Qualifications/Skills Required A background or aptitude in mathematics and/or statistics Proven experience with intermediate Excel skills, including pivot tables, IF statements and VLOOKUP Desirable VBA knowledge Experience in data manipulation, statistical analysis, and process creation more »

to secure reimbursement. In total, the IGES Group employs more than 200 experts from the fields of medicine, economics, natural and social sciences, pharmacy, statistics and informatics. Today, the IGES Group comprises 14 companies at locations in Germany, the United Kingdom, France, Sweden and Switzerland. To strengthen and complement our more »

comprehensive recommendations in solution design, business process design, business policy setting, and business metric definition. Quantitative and analytical skills (financial analysis, mathematical modelling, and statistics, etc.) Ability to “dive into” the data to determine root-cause. Desired ability to understand statistical forecasting models. Desired ability to understand complex manufacturing arrangements more »

such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning more »

such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning more »

updating of the siteand divisional workforce dashboards. Develop statistical reports from existing data sets for use in planning and report writing Use data/statistics/intelligence from multiple sources to determine a course of action orintervention. To produce business plans, and service development within resourcing and deployment,where appropriate more »

Head of Modelling Hybrid £100K The world of statistical modelling plays a huge part in the development of life saving treatments. This is an opportunity to work along side some of the world's largest drug development companies as the more »

Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »

Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »

Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »

driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages such as Python and C++ NEXT STEPS: If more »

/Prince2 or equivalent methodologies, ability to work under pressure and lead a team. Education/Qualification: Degree in Computer Science/Maths/Statistics or related field. Other: Flexible approach to supporting business needs outside regular hours. Job Type: Full-time Salary: Up to £45,000.00 per year Benefits more »

oEvidence of ongoing personal development - this will include educated to degree level, or relevant equivalent experience servicing information. Experience may be in analytical techniques (statistics, numerics or informatics). Desirable oStatistics Qualification Specific Requirements Essential oAbility to work as part of a team oProblem solving skills - ability to focus on more »

quality management, delivery of laboratory services, national initiatives for laboratory improvement. Expert knowledge of EQA as part of laboratory quality assurance Knowledge of medical statistics Experience Essential Extensive experience in the provision of EQA services in laboratory haematology Experience in haematology experience in a senior laboratory position, with responsibility for more »

Experience in budget management. Familiarity with at least some of the following: workflow managers, data warehousing technology, high- performance computing platforms, data visualisation, curation, statistics, and data mining. A track record in leading scientific projects. Experience designing databases, developing websites and/or working with big data. Participation in multi more »

Analysis: analyse user acquisition and retention data, identifying weaknesses and bugs in existing models for resolution. Analytics and Machine Learning : run analytics to extract statistics, patterns, and eventually craft machine learning models to improve existing technologies. Work closely with the development team, contributing to data/statistics tasks for improving … mining/wrangling, analysis, and reporting. Strong proficiency in SQL, with the ability to read, write, and query effectively. A keen curiosity about data, statistics, machine learning, and data science is essential. Strong problem-solving skills with an emphasis on product development, logical thinking, and critical analysis. Experience with statistical more »

to the planning team. Documenting methodologies, modelling specifications and results diligently. Providing and communicating data for capacity planning and recruitment. Converting model outputs and statistics into valuable insights for departments. The closing date for applications is 24/06/2024. To apply send a copy of your CV with more »

who: Is a degree-calibre engineer, technologist, scientist or mathematician. An educational background, or suitable experience in operational research, business, industrial, logistics, manufacturing, mathematics, statistics, physics, computational science or engineering is preferred. Must have strong logical reasoning and analytical skills. You will be able to think, plan and execute strategically. more »

suggestions on design, embedding and review planning processes and procedures to ensure effective implementation based on impact to areas. Compile plan vs actual data, statistics and reports, evidencing challenges to operational teams to ensure plans remain effective. Provide cost analysis on potential new transport activity and model business change for more »

ehaat.org/about-us/careers-employment/Person Specification Qualifications Essential Degree in a discipline with a substantial data science, data analytics or statistics component. Desirable MSc in a discipline with a substantial data science, data analytics or statistics component. PhD in a discipline with a substantial data science … data analytics or statistics component. Experience Essential Experience using web-based database applications such as REDCap. Skills in advanced statistical analysis. Expertise in data manipulation using Microsoft Excel (VBA would be desirable). Expertise in the use of statistical software packages such as SPSS, R or Stata. Expertise in using more »

any necessary workarounds. Form part of an on-call rota, supporting the business outside of core hours for critical and service-related incidents. Produce statistics, KPIs and Management Reports relating to application and service outages. About You This Application Support Analyst role will suit an individual passionate about customer service more »

of the relationship between the Department of Health, the NHS England and individual provider and commissioning organisations High level of understanding of epidemiology and statistics, public health practice, health promotion, health economics and health care evaluation Knowledge of methods of developing clinical quality assurance, quality improvement and evidence based clinical more »