1 to 25 of 66 Statistics Jobs in the South East

Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python ...

intended and produce accurate and consistent outputs. The successful candidate will have: Degree-level qualification in Computer Science, Information Technology, Data Analytics, Mathematics, Statistics, Finance or another relevant quantitative or technical discipline, or equivalent relevant professional experience. Relevant professional certifications in data analytics, database management, programming or business intelligence, such ...

GCSE's including Maths, Science and English GCSE, grade 5/C or above (Essential) 2 or more A-Levels, including Maths and Statistics A Level, grade BBC or above with B in Maths (Essential) About the Employer Cogent Ssc Limited As the specialists in skills for science and technology ...

experience is not necessary to get the role. Degree and/or post graduate qualification in a relevant discipline, such as Computer Science, Mathematics, Statistics, or equivalent experience. Significant practical experience in descriptive/predictive modelling and visualisation methods and techniques. Strong skills and practical experience in Machine Learning ...

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 ...

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 ...

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 ...

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 ...

promote adoption of emerging technologies aligned with enterprise guardrails. Qualifications Essential Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Technology, Mathematics, Statistics, Engineering, or a related discipline. • Industry certifications (e.g. TOGAF, AWS/Azure Architect, CISSP, ArchiMate). • Demonstrable interest in IT architecture and software engineering. Desirable Qualifications ...

partner organisations to understand real technical constraints, not just theoretical ones. Knowledge, Experience and Qualifications A Master's or PhD in Computer Science, ML, Statistics, Maths, or equivalent experience, plus 5+ years in applied ML/AI research or development. A genuine track record in privacy-preserving ML, generative ...

technical trade‐offs, risks and progress clearly to both technical and non‐technical stakeholders. Knowledge, Experience and Qualifications Essential Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. 5+ year work experience in relevant field. Strong software engineering capability in Python, including ...

procedures that may contain a significant amount of business logic before changing or replacing them. Troubleshoot slow or unreliable SQL using execution plans, indexing, statistics, blocking/waits and query-level diagnostics. Refactor high-risk or difficult SQL pragmatically, preserving business behaviour while improving maintainability, performance and testability. Support data ...

modelling, analysis and lightweight prototyping. Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principles Solid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour in a consumer-facing context. Strong product sense and commercial instinct ...

What We Are Looking For: Strong proficiency in the MS Office suite (Excel, PowerPoint, Word). Strong academic background in numerical fields (e.g., Mathematics, Statistics). 2+ years of experience evaluating and querying datasets to provide reporting metrics. Structured, methodical working practices with strong analytical thinking and problem-solving skills. ...

being advantageous Strong analytical skills with the ability to communicate findings to a range of stakeholders Degree in a quantitative discipline such as Mathematics, Statistics, Economics, Physics, Engineering, or Computer Science How to Apply To learn more about this Pricing Data Scientist/Principal Pricing Analyst opportunity, please apply with ...

mentoring, pastoral care, and an annual review cycle. Knowledge, Experience and Qualifications 10+ years of commercial software experience. A degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least two of: Python ...

technical stakeholders. Knowledge, Experience and Qualifications What you'll bring 5+ years of commercial software experience. A degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least two of: Python, TypeScript, relational ...

LangChain/LangGraph), tracing and evals (Langfuse), memory design, and latency and cost trade-offs Embeddings, vector search and hybrid search Solid grounding in statistics and ML theory across supervised and unsupervised learning, NLP (entities, intent), recommendation, prediction and uplift modelling Full model lifecycle and MLOps: containerisation (Docker/ ...

progress clearly to both technical and non‐technical stakeholders. Knowledge, Experience and Qualifications Essential Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a closely related discipline, or equivalent research or industry experience. Established work experience in relevant field. A strong and demonstrable track record ...

solutions from concept to production; experience in customer-facing or conversational AI is strongly preferred (Required) **Education:** * Undergraduate degree in Computer Science, Data Science, Statistics, Engineering or a related field, or equivalent work experience supported by professional certification/licences (Required) **Languages:** * English (Required); Spanish or experience working across international ...

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 ...

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 ...

Machine Learning Python Data Science Industrial Analytics Predictive Modelling Process Optimisation Imagine using advanced analytics to predict problems before they happen, improve manufacturing performance and help industrial plants operate more efficiently. Not through hypothetical datasets ...