26 to 50 of 2,690 Mathematics Jobs in the UK

apply data science to solve real-world problems Secret Clearance Preferred Qualifications Familiarity with DoD Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Familiarity with Envision Top Secret clearance with SCI eligibility Salary Range ...

QUALIFICATIONSBachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fieldsUpto 2 years of professional experience applying machine learning and data mining techniques to real-world problems with substantial data setsProgramming experience (focus on machine learning): R and/ ...

will be confirmed by your Hiring Manager.QualificationsEducation & Professional Qualifications:Degree educated (2:1 or above preferred) in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Engineering.Professional qualification preferred: CIMA, ACA, ACCA, CFA, or MBA.Technical & Analytical Skills:Advanced proficiency in Excel, VBA, PowerPoint, and Power BI; working knowledge ...

confirmed by your Hiring Manager. Qualifications Education & Professional Qualifications Degree educated (2:1 or above preferred) in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Engineering. Professional qualification preferred: CIMA, ACA, ACCA, CFA, or MBA. Technical & Analytical Skills Advanced proficiency in Excel, VBA, PowerPoint, and Power BI; working ...

Statistical analysis and predictive modelling AI-enabled analytics and automation solutions Qualifications Qualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience Ideally, You'll Also Have Experience of financial, operational, and commercial reporting and relevant performance metrics An understanding ...

technologies. Share knowledge and best practices across the research and technology teams. Required Qualifications Education MSc or PhD in Machine Learning, Statistics, Mathematics, Physics, Computer Science, Econometrics, Economics, or a related quantitative discipline. Equivalent practical experience demonstrating significant quantitative and machine learning expertise. Professional Experience 3 to 5 years ...

quantitative concepts to both technical and non-technical stakeholders, including senior management. Education: Bachelors/Masters in a quantitative field such as Financial Engineering, Mathematics, Physics, Computer Science, or equivalent. Professional Certifications (AI, OpenShift, Agile, Architecture) – Advantageous. Deep understanding of fixed income markets, interest rate derivatives (swaps, bonds, and loans ...

others, sharing knowledge and raising engineering standards across the team. Qualifications & experience A degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline would be beneficial. Google Cloud, dbt or other relevant data engineering certifications are also welcomed, although practical experience ...

others, sharing knowledge and raising engineering standards across the team. Qualifications & experience A degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline would be beneficial. Google Cloud, dbt or other relevant data engineering certifications are also welcomed, although practical experience ...

technically rigorous environment, while staying current with emerging developments What You Bring A post-doctoral degree in a quantitative field such as Physics, Engineering, Mathematics, Computer Science, Statistics, or a related STEM discipline, or equivalent professional experience supported by a Master’s degree Familiarity with modern approaches such as CNNs ...

solutions using modern cloud technologies and MLOps principles. Qualifications Necessary education and experience Education : A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Project & Team Leadership : Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks ...

whiteboarding and collaborative problem-solving to build high-performance data products.What We're Looking ForAcademic Background: Degree, Master's, or PhD in Data Science, Mathematics, Operational Research, Physics, Statistics, or a related quantitative field.Core Technical Stack: Hands-on proficiency with Python, SQL, and Excel, alongside exposure to platforms like Databricks ...

experience in Python development, or a relevant MS degree with 0–2 years of experience Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a similar field Experience with a wide range of data sources, including multiple ERP systems and legacy environments Advanced skills in Microsoft Office, including ...

business and technology leadersThe Essential Requirements of the Job Include:1. Bachelor’s or master’s degree in data Analytics, Statistics, Computer Science, Engineering, Mathematics, Business Analytics or related field.2. Seven plus years of experience in Data Analytics, Business Intelligence, Value Realisation, Strategy Analytics, Financial Analytics, or Program Analytics roles.3. ...

scope of projects requiring detailed analysis, creative/practical problem solving, and sound judgement._________________________________________________________________________________Essential Criteria:Bachelor’s degree in computer science, Data Science, Mathematics, or a similar technical discipline, or equivalent practical experience in a data/analytics product role.4-7 years’ experience working with data visualization and reporting ...

technologies in AI and analytics Requirements Bachelor’s or Master’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics or Mathematics Proven experience in technical consulting or client-facing data science roles with strong stakeholder engagement skills Proficiency in Python and SQL; familiarity with ...

Experience working with large, complex datasets and deriving actionable insights Strong academic background in a quantitative or analytical field (e.g., Computer Science, Engineering, Statistics, Mathematics, Economics, or similar) Experience developing analytics that are reproducible, traceable, and methodologically robust, particularly in environments subject to external scrutiny A structured and rigorous approach ...

inclusion in the Companys hybrid work from home policy. Qualifications Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such ...

inclusion in the Companys hybrid work from home policy. Qualifications Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such ...

qualified MEng/MSc at 2:1 or higher in a relevant Engineering or Science discipline (such as but not limited to Computer Science, Mathematics, Software Engineering, Physics). Relevant industrial experience extracting insights from high-volume manufacturing, process engineering, operational or quality datasets, including analysis of continuous time-series ...

work collaboratively within cross‐functional technology teams delivering data products and services Essential Degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics or a related discipline; or equivalent practical experience Desirable Relevant certifications in Spark, cloud technologies, data engineering or software engineering practices Why should you apply ...

QUALIFICATIONSBachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields2–5+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data setsProgramming experience (focus on machine learning): SQL and Python ...

appreciation of how AI, data, and emerging technologies can drive business outcomes within a large, complex organisation. A degree in Computer Science, Engineering, Mathematics, Data Science, or a related discipline, or equivalent practical experience. Relevant certifications in AI, Machine Learning, Cloud Technologies, Data Engineering, or MLOps would be advantageous. ...

QUALIFICATIONSBachelors, Master's or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7-8+ years of experience in software development, with significant full-stack web application development experience strongly preferred Experience working collaboratively with technical and non-technical team members ...

platforms and multi-layer solutions A team player with excellent communication skills Qualifications University Degree or ideally Masters’ Degree or higher in Computer Science, Mathematics, Statistics, Finance, Actuarial Science, Engineering, Physics, or a related field Knowledge & Experience Essential Product knowledge: Individual Annuities and Bulk Purchase Annuities Programming experience e.g. Python ...