76 to 100 of 230 Statistics Jobs in the UK excluding London

cybersecurity. Software engineering and project practice: requirements analysis, software lifecycles, project planning, architecture and design notation, quality assurance, collaborative development, deployment and professional practice. Statistics, data science and artificial intelligence: probability, statistical inference, regression, data preparation, data visualisation, supervised and unsupervised learning, model validation and interpretation, and critical consideration ...

early career researchers in the planning and delivery of project objectives. Collaborate with local and international multidisciplinary colleagues across genomics, clinical medicine, data science, statistics, software engineering and compute infrastructure to deliver impactful research and project objectives. A PhD in health informatics, bioinformatics, genomics, computational biology, data science ...

South West Water in discussions with regulators, industry bodies and external stakeholders. What we're looking for: Degree qualification in Mathematics, Engineering, Data Science, Statistics or a related discipline. Strong analytical and problem-solving skills with experience working with complex datasets. Ability to communicate technical findings clearly and effectively ...

Want to accelerate the future of AI-led life sciences innovation? So do we. At BioXcelerate AI, we combine specialist health data science, advanced statistics, machine learning, bioinformatics and software engineering to help life sciences organisations solve complex research and development challenges and generate actionable insight at speed. Through platforms ...

scientific codebase. Provide advice and explain core ML concepts to customers and partners. Core Skills & Experience: A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well ...

Publisher Responsibilities into precompute data creation workflows and achieving Data Health indicators for precompute artifacts Who You Are B.S., M.S., or Ph.D. in Mathematics, Statistics, or similar numerate field (or equivalent practical experience). Extensive background in software engineering or data platform roles, with significant experience in performance engineering under ...

fraud detection systems. Hands-on experience working with large and complex data sets. Some other highly valued skills may include: A background in statistics or mathematics, with fraud experience. Familiarity with BB Plc businesses. You may be assessed on the key critical skills relevant for success in role, such ...

design and deliver enterprise-level analytical approaches that meet the evolving needs of the institute. The ideal candidate will have a strong background in statistics, data analysis and visualization and the ability to translate complex, multi-omic datasets into clear, actionable insights that inform research and decision-making across ...

apply. If this role excites you, we'd like to hear from you. Machine Learning Engineer: A strong grounding in the maths and statistics behind machine learning Hands on experience training, evaluating and tuning deep learning models using frameworks such as PyTorch or TensorFlow A solid grasp of model evaluation ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype ...

This will involve working with other data scientists or ML Engineers and business stakeholders. This role requires good cross disciplinary skills across databases, analytics, statistics, and modelling. The person should be able to work independently in a DevOps environment, often collaborating with stakeholders from other technical teams as well … improvement with a focus on latest trends, techniques, and best practices in Data Science and Machine Learning. Qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in Data Science, Data Analytics, Machine learning, or a related field. Proficient in Python and working ...

improvement with a focus on latest trends, techniques, and best practices in Data Science and Machine Learning. Qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in Data Science, Data Analytics, Machine learning, or a related field. Proficient in Python and working … Azure. Knowledge and implementation of advanced data visualisation techniques. Excellent communication and teamwork skills. Nice to have: Masters in a specific field such as Statistics, Data Science, Machine Learning, or AI. Familiarity with ML experiment tracking, model versioning, and lifecycle management tools such as MLflow. Familiarity with containerization and orchestration ...

quantitative findings Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Data Analytics Nice If You Have: Experience with Palantir Foundry, such as Pipeline Builder or AIP, or similar platforms for application develop ment … quantitative findings Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Data Analytics Nice If You Have: Experience with Palantir Foundry, such as Pipeline Builder or AIP, or similar platforms for application develop ment ...

audiences. Work with data scientists, analysts and other departments on shared projects. Person Specification A master's degree or equivalent industry experience in maths, statistics, physics, computer science or a related subject. Experience designing and training complex statistical models. Strong Python skills for analysis and model development. Experience with structured ...

interest in the transformation of energy markets and infrastructure Desirable attributes: Hands-on experience building LLM-based systems Experience testing non-deterministic systemsUnderstanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental ...

Minimum Qualifications Agentic Coding proficiency to achieve data-science, data collection and visualisation tasks Good understanding of metrics, crowd science, data collection, annotation analysis, statistics Ability to work independently and cross-functionally to integrate in partner team reporting systems and pipelines Excellent communication skills and the ability to thrive ...

wishing to work part-time or flexible hours will also be considered. About you You will hold a PhD in Machine Learning, Computer Science, Statistics, Computational Science or a related area (or be close to completion), prior to taking up the appointment. You will have experience of designing and conducting ...

across the team A strong bias for action, with a passion for shipping rapidly and iterating with feedback BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience [Preferred] Specific experience with LLMs and agentic systems [Preferred] Hands‐on experience with technologies in the modern ...

with Purchasing and Partner Management to work through complex commercial negotiations. Can build strong relationships with named suppliers. Can produce and analyse appropriate Group statistics/KPI’s/SLA’s and customer reporting where required. Can suggest and implement process improvements. Can work across multiple geographies to support Group ...

Required: Profound understanding of a broad range of relevant fields: algorithms, networks, computer architectures, compilers, programming languages, mathematical logic, linear algebra, combinatorics, probability and statistics, etc. Extensive industry experience in algorithm design and computer architecture. Quick learner, capable of familiarizing oneself with new areas through academic research, conferences, and discussions ...

quantum low-density parity-check (qLDPC) codes. Experience with decoding methods for erasure and Pauli noise, including matching-based approaches, belief propagation or ordered-statistics decoding. Strong understanding of fault-tolerant logical operations, such as lattice surgery, code switching, transversal gates or magic-state preparation and distillation. Experience with circuit ...

Experience: 10+ years of experience in consulting, technology, or digital transformation within energy or industrial sectors. Education: Bachelor’s degree in computer science, engineering, statistics, or related field. Advanced degrees in AI, data science, or business are a plus. Why This Role This is an opportunity to operate ...

projects. Communicate technical decisions, risks and concerns clearly to non‐technical audiences. Knowledge, Experience and Qualifications – Essential PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. Extensive years of experience in machine learning engineering, software engineering, or a related technical ...

flow creation activities, including data standards. Basic Qualifications Relevant degree-level education (eg; BS/MSc/PhD (or equivalent) in Computer Science, Mathematics, Statistics or a related subject). Relevant experience/knowledge of translating business needs into technical data requirements and processes, ability to quantify and provide insights ...