12 of 12 Permanent Statistics Jobs in Wales

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯

and scientific rigour to an exploratory environment, helping Future stay ahead in an AI-powered media landscape. Experience that will put you ahead of the curve An understanding of statistics A proficiency in python for data science skills Experience with cloud compute platforms, like GCP Experience deploying data science solutions is desirable but not essential Experience with SQL to work More ❯

develop new skills as part of a fast-growing team. Your day-to-day role will require you to have a vast array of skills in areas including analytics, statistics, data visualisation, negotiation and communication to deliver high-profile projects that meet the team's objectives. Where applicable, you will be given a range of responsibilities which may include developing More ❯

and confident Experience with data modelling, data warehousing, and ETL processes Excellent problem-solving and critical thinking skills High attention to detail and accuracy Qualification in Data Science, IT, Statistics, Maths, or similar Also Important Proven experience in a Data Analyst or similar role Hands-on skills with SQL, Power BI, DAX, Excel Experience working with NetSuite, Salesforce, or other More ❯

and confident Experience with data modelling, data warehousing, and ETL processes Excellent problem-solving and critical thinking skills High attention to detail and accuracy Qualification in Data Science, IT, Statistics, Maths, or similar Also Important Proven experience in a Data Analyst or similar role Hands-on skills with SQL, Power BI, DAX, Excel Experience working with NetSuite, Salesforce, or other More ❯

Skills & Qualifications Proven experience developing desktop applications using C# and the .NET platform Experience with WinUI 3 , DirectX , and performance-critical rendering or visualization Strong background in numerical computing , statistics , and vector mathematics Understanding of low-level programming techniques and experience working with data from custom hardware Familiarity with unit testing frameworks (preferably xUnit ) and version control tools (e.g. Git More ❯

to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding … and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new … trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding More ❯

CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We More ❯

drainage from conceptual layout to detailed design. Familiarity with hydraulic design software, 3D design tools and BIM. Ability to prepare reports and specifications and to collect other data and statistics necessary for the preparation of progress and technical reports. Ability to identify and respond to our clients' values in a competitive market sector. Candidates are required to be self-motivated More ❯

Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your More ❯

is expected Manchester will move to 40% in . The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is the UK's largest producer of official statistics, covering a range of key economic, social, and demographic topics. These include measuring changes in the value of the UK … inflation, employment, earnings, crime and migration. Data Growth and Operations (DGO) provides the statistical infrastructure (in the broadest sense) and underpinning frameworks necessary to enable the Office for National Statistics (ONS), the Government Statistical Service (GSS) and the wider research community to make better use of data. DGO is structured into three divisions: Data Architecture, Location and Integration (DALI) ensure More ❯