1 to 25 of 89 Statistics Jobs in England with Remote Work Options

data quality, and analytical methodologies. Stay current with industry trends and best practices in data analysis and visualization techniques. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred. Proven experience as a Data Analyst or similar role, with a strong track record more »

market. Undertake and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a more »

drive continuous improvement initiatives. Generate actionable reports and visualisations to communicate findings and recommendations to key stakeholders. Qualifications: Bachelor’s degree in Data Science, Statistics, Operations Research, or a related field. Previous experience not required but preferred. Proficiency in SQL, Python, or R for data manipulation and analysis. Strong analytical more »

up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and visualisation more »

digital marketing analytics, preferably in a fast-growing B2B tech/SaaS business. Bachelor's or Master’s degree in data analytics, marketing analytics, statistics, or a related field. Strong proficiency with marketing analytics tools such as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital more »

data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis more »

A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data Desirable more »

By supporting sales leadership with strategic initiatives and projects to optimize sales performance Required Experience: Bachelor's degree in a numeric field (e.g., Mathematics, Statistics, Economics) required; advanced degree preferred Strong experience in a similar analytical role within a demanding environment Proficiency in BI and Data Science tools such as more »

branching and pull requests. Proven track record of translating complex technical findings into actionable business insights. Degree or equivalent in a relevant field, e.g., Statistics, Mathematics. Bonus points for: Experience in the energy retail sector. Proficiency with Databricks. Senior Data Analyst/Data Modelling/SQL/Tableau/Python more »

Degree in a relevant subject such as mathematics or statistics. Training Desirable Any relevant further training/personal development in computer languages/tools, statistics, consultancy skills Experience Essential Experience of data extraction, analysis and management information reporting Takes responsibility for workload management and prioritisation of key pieces of work more »

accuracy, availability, granularity, and overall robustness Collaborate with fellow data and finance professionals to achieve successful outcomes Who you are Ideally from a mathematics, statistics, econometrics, physics, or similar numerically-focused background, you possess a natural curiosity and numerical acumen A team player with a sense of ownership, you take more »

and confidently present complex findings to non-technical audiences. The ideal candidate will have experience with: Machine learning, Forecasting, Discrete Event Simulation, and multivariate statistics Demand and capacity planning in a healthcare environment Analytical approaches to performance management Excellent teamworking and communication The job is specialised in terms of the more »

record of senior stakeholder management, with high quality communication and influencing skills Have a PhD, MSc or strong quantitative degree ideally from a Mathematics, Statistics, Computer Science or related subject Our Customer First behaviours are all about putting customers and members at the heart of how we work together. You more »

experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work experience more »

the hands on aspect in conjunction with the long term management of the function. - Hold a relevant degree in one of Data & Analytics, Mathematics, Statistics, Computer Science or BI - Have detailed experience and knowledge in the creation, development, and maintenance of data repositories, data warehouses, data lakes, cloud platforms (ideally more »

resident, citizen or Visa that allows you to work in the UK Degree educated with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics) 5 years+ experience in a Business Analyst role Experience in using LEAN, AGILE and PRINCE2 methodologies Previous experience of delivering value from change management Experience more »

about industry developments, emerging technologies, and best practices in digital advertising analytics. Requirements: Bachelor's degree in a relevant field such as Business, Marketing, Statistics, Economics, or a related discipline. Proven experience in data analysis, preferably within the digital advertising or marketing industry. Proficiency in analytical tools and platforms such more »

in data analysis, reporting, and dashboard creation. understanding of data visualisation and data manipulation tools. or Master’s degree in Business Analytics, Data Science, Statistics, or a related field. of 3+ years of experience in a business intelligence or data analysis role, preferably within a technical, retail operations or R more »

working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently more »

and mentor more junior team members. Calm and empathetic approach to working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL more »

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion more »

junior team members, and drive innovation through cutting-edge data solutions. Required skills & Experience: Bachelor or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience as a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Programming languages such more »

in Scrum/Agile development environments. Familiarity with IT service management software (ITSM), PaaS, and SaaS. A Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. Due to the volume of applications received for positions, it will not be possible to respond more »