276 to 300 of 2,497 Mathematics Jobs in the UK

professional standard, paying due regard to safety, efficiency, cost effectiveness, time scales and the needs of the Company Background & Experiences A Master’s or higher degree in Electronics, Physics, Mathematics, Computer Science or related discipline. An equivalent period of industrial experience may be substituted Proven skills in compiling, deploying, profiling and optimizing latency and quality models on embedded devices (NPU More ❯

will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team. BASIC QUALIFICATIONS - Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications More ❯

functional and technical specifications aimed at our development team Test and validation of new developments Ensure the highest software quality is provided for our clients Requirements: MS degree in Mathematics, Engineering, Computer Science or other related fields Results-oriented, analytical approach with strong entrepreneurial problem-solving skills Experience and understanding an object-oriented programming code (C#) – the ability to read More ❯

functional and technical specifications aimed at our development team Test and validation of new developments Ensure the highest software quality is provided for our clients Requirements: MS degree in Mathematics, Engineering, Computer Science or other related fields Results-oriented, analytical approach with strong entrepreneurial problem-solving skills Experience and understanding an object-oriented programming code (C#) – the ability to read More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

delivery of high-quality code and successful project outcomes Line manage and provide career mentorship to other software engineers REQUIRED SKILLS: Degree in a quantitative field such as engineering, mathematics, finance Experience of leading meetings and presenting technical concepts to stakeholders Experience of successfully leading complex software projects Experience of mentoring and managing software teams Experience of leading the design More ❯

engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift More ❯

an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms An honest approach to problem-solving, and ability to collaborate More ❯

experience in an analytical role using SQL. Data visualisation skills using Tableau/PowerBI/Excel is also essential, any consulting or modelling experience is desirable. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics, Data Science etc. You should have a strong enthusiasm for problem solving and a passion for data. You will be expected to provide analytical expertise, seek More ❯

exchange options franchise through new business initiatives with global impact. Qualifications Excellent academic record with a Bachelor's, Master's, or Ph.D. in a quantitative or engineering field (e.g., mathematics, finance, physics, computer science, engineering). Strong analytical and programming skills. 1-3 years of experience in quantitative financial modeling; experience with foreign exchange derivatives preferred. Creative problem-solving skills More ❯

engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift More ❯

experience in an analytical role using SQL. Data visualisation skills using Tableau/PowerBI/Excel is also essential, any consulting or modelling experience is desirable. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics, Data Science etc. You should have a strong enthusiasm for problem solving and a passion for data. You will be expected to provide analytical expertise, seek More ❯

tools Your Skills & Expertise 3-5 years experience working as a Business Analyst or equivalent role ideally for a B2B software product You have a degree in Computer Science, Mathematics, or any stem subject You have demonstrated experience working on investor reporting platforms, client portals, or performance dashboards You have strong analytical skills, preferably with demonstrable experience in financial modeling More ❯

computer models, and synthesising the results. You will be required to take a methodical approach to problem solving and be comfortable with IT. Joining the company with an engineering, maths or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical detail internally and to external clients who do not necessarily have technical knowledge of the More ❯

design proving plans and conducting design proving testingand subsequent data analysis S kills and qualifications required from the following: Degree qualified in a technical subject such as Physics, Electronics, Mathematics, Mechanical or Aerospace Engineering. Essential Skills Design and development of control algorithms for digital control systems. Experienced user of the MATLAB/Simulink toolset and Embedded Coder for the generation More ❯

computer models, and synthesising the results. You will be required to take a methodical approach to problem solving and be comfortable with IT. Joining the company with an engineering, maths or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical detail internally and to external clients who do not necessarily have technical knowledge of the More ❯

risk-adjusted returns. Stakeholder Collaboration : Working with internal teams, including operations, product, finance, and compliance, to align risk management objectives with business goals. A degree in Finance, Statistics, Economics, Mathematics, or a related field. Proficient in SQL. Experience in Credit Risk Strong understanding of credit risk metrics (PD, LGD, EAD) and financial modelling. Experience with data visualization tools and techniques. More ❯

events. Mentoring colleagues in research or Machine Learning/Data Science. Working away at partner locations as required. WHAT YOU'LL NEED A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or related field, or equivalent experience. A PhD/DPhil is highly valued but not essential. Experience with state-of-the-art ML libraries. Fluency in Python , ideally More ❯

research outcomes - Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company - Practical experience in several of the following areas: machine learning More ❯

pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field. Personal projects are a key differentiating factor and hold more weight than other requirements. Compensation & Benefits Competitive salary and stock options in a rapidly growing AI More ❯

pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field. Personal projects are a key differentiating factor and hold more weight than other requirements. Compensation & Benefits Competitive salary and stock options in a rapidly growing AI More ❯

pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field. Personal projects are a key differentiating factor and hold more weight than other requirements. Compensation & Benefits Competitive salary and stock options in a rapidly growing AI More ❯

development qualifications through continual learning; Fluent in English with excellent written, verbal communication, and presentation skills; A positive "can do" attitude; GCSEs at C or above, or equivalent, in Maths and English; Foundation degree with computing as the core discipline; OR Level 5 qualification with computing as the core discipline; OR First two years of bachelor's degree with computing More ❯