26 to 50 of 230 Statistics Jobs in the UK excluding London

date with emerging technologies, analytical techniques and industry developments. Skills and Experience A degree in a quantitative or analytical subject, such as Mathematics, Statistics, Computer Science, Physics, Engineering or a related discipline. An interest in data science, statistical modelling and using data to solve problems. Some experience with programming languages ...

machine learning, or supervised modelling approaches. Experience developing automated data workflows or reporting tools. Qualifications Degree (or equivalent qualification) in Data Science, Computer Science, Statistics, Mathematics, Chemistry, Analytical Chemistry, Chemical Engineering, or a related scientific or quantitative discipline. MSc or PhD qualifications are advantageous but not required. Suitable for recent ...

reports. • Exceptional communicator and influencer at all levels, from data engineers to board members. Desirable • A degree in Data Science, Business Analytics, Computer Science, Statistics, or a related field. • Certifications such as CBIP or Microsoft Certified Power BI Data Analyst Associate are a bonus - but not a dealbreaker if your ...

interpersonal skills. Exceptional problem-solving abilities, with the ability to resolve ambiguous, complex issues independently. Education and Experience Bachelor's degree in data analytics, statistics, accounting, computer science, or a related discipline (advanced degree desirable). 7+ years of relevant experience in data analytics, reporting and visualisation, including experience ...

e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chainforecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering ...

required occasionally for client meetings or project needs, including domestic or international engagements. What We Are Seeking Master's degree in Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, Cognitive Science, or a related quantitative, technical, or natural science discipline. Relevant experience in financial services, fintech, insurance, consumer ...

with a view to becoming hybrid thereafter. The role is paying £80,000-£100,000 DOE plus benefits. Required Qualifications Degree in data Analytics, Statistics, Computer Science, Economics, or a related field 10+ years of experience in data analytics, business intelligence, or insights roles 5+ years in a senior leadership ...

decision-making. Monitor service, production and other operational metrics, identifying issues, patterns and areas for improvement. Produce daily, weekly and monthly reports, including performance statistics, KPIs and progress updates for management review. Analyse reporting outputs and present key insights, conclusions and recommendations to relevant stakeholders. Work closely with process owners ...

which you can discuss with Talent Acquisition. Your skills & experience: Master's degree or equivalent in a numerical field like data science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these ...

which you can discuss with Talent Acquisition. Your skills & experience: Master's degree or equivalent in a numerical field like data science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these ...

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 Demonstrate a commercial mindset when on projects to grow accounts organically with senior ...

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 Demonstrate a commercial mindset when on projects to grow accounts organically with senior ...

cloud-based data platforms. Ability to translate analytical findings, assumptions and uncertainty clearly for non-technical audiences. A degree in Data Science, Statistics, Mathematics, Economics, Computer Science or a related discipline, or equivalent relevant experience. Why Join Us? At Somerset Council, we're a progressive organisation committed to improving lives ...

Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization. Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. Ability to identify and address AI/ ...

exploited by attackers Using machine learning to identify broader phishing trends and how to protect against them Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Physics or a related quantitative field Strong working knowledge of SQL for data extraction and manipulation Demonstrated ability to write clean, efficient ...

risk coverage related to money laundering and terrorist financing. Familiarity with the current regulatory landscape within financial crime compliance. Background in mathematics or statistics, including areas such as probability, machine learning, and AI. You may be assessed on the key critical skills relevant for success in role, such as risk ...

work, such as coding assistants and LLMs, with the judgement to verify their outputs Image or signal processing, ideally on data from scientific instruments Statistics applied to measurement data: uncertainty, repeatability, noise and drift Machine learning methods, and how to validate them properly Clear, reproducible code and reports Explaining results ...

Person Specification To succeed in this role, you’ll typically have: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. 3-5 years as an ML engineer. Good understanding of core data science principles and understanding of challenges of migrating ...

understanding of SQL and relational and non-relational databases Experience with AWS cloud services (S3, Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra, or signal processing Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others Understanding of software ...

with data science. Transform data and build models to optimise customer experience, profit revenue generation, cost reduction and other business outcomes. Be passionate about statistics and machine learning, and AI. Be able to convey a thorough understanding of the benefits and use cases of these across the business ...

Background & Desirable Qualifications Required Academic Background Bachelor's degree in a relevant analytical, technical or business discipline (e.g., Engineering, Computer Science, Information Systems, Mathematics, Statistics, Business Administration or Economics). Desirable Academic Background Relevant certification or practical training in SQL, databases, configuration management, quality assurance or test automation. Educational background ...

engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud platforms and large-scale data environments. Knowledge of LLMs, evaluation frameworks, prompt engineering and RAG architectures is advantageous. ...

engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud platforms and large-scale data environments. Knowledge of LLMs, evaluation frameworks, prompt engineering and RAG architectures is advantageous. ...

collaboration across research and technology teams. Essential Experience and Qualifications To be considered for this role, you must demonstrate: A proven track record in statistics, biostatistics, bioinformatics, genomics, or a related scientific discipline. Strong experience in machine learning, deep learning, and statistical modelling. Advanced programming skills in at least ...

querying data warehouses (BigQuery ideally) Experience creating dashboards and reports in Power BI, Looker Studio or a similar tool A good grasp of the statistics behind testing, including significance, confidence intervals and sample sizes Clear, confident communicator, both written and spoken Well organised, and able to keep several client projects ...