1 to 25 of 351 Permanent Mathematics Jobs in the UK with Remote Work Options

and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial Services more »

data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in more »

analytics and data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point more »

knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data more »

team building, motivational skills, innovation, delegation, collaboration, emotional intelligence. Key Qualifications: A degree or equivalent practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field. Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets. more »

Requirements European energy & utility market knowledge and expertise, preferably experience in a retail energy setting. Bachelor’s or Master’s in Data Science, Statistics, Mathematics, Economics, or a related field. Experience in data analysis, statistical modeling, and forecasting experience is considered an asset European energy & utility market knowledge and expertise more »

numerate discipline, computer science or an equivalent subject requiring very high levels of statistical analysis Desirable Master's Degree with Computer Science, Data Science, Mathematics or Statistics, or a subject requiring very high levels of statistical analysis Evidence of continuous professional development Certificate of Sponsorship Applications from job seekers who more »

quality, and analytical methodologies. Stay current with industry trends and best practices in data analysis and visualization techniques. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred. Proven experience as a Data Analyst or similar role, with a strong track record of more »

under pressure. Person Specification Qualifications Essential Educated to degree level or equivalent (or equivalent work experience) Desirable Degree in a relevant subject such as mathematics or statistics. Training Desirable Any relevant further training/personal development in computer languages/tools, statistics, consultancy skills Experience Essential Experience of data extraction more »

cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems more »

Stay up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and more »

and cli facing teams Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability 5+ years of experience in catastrophe more »

and review reports What do you need to succeed? Strong academic background: educated to at least Masters degree level in a quantitative subject, preferably Maths, Physics, Engineering or Finance. Relevant professional qualifications/experience will also be considered. Experience/knowledge of option pricing techniques including normal and log-normal more »

industry. Strong academic background with a 2:1 degree (or equivalent) or higher in a relevant technical field such as computer science, software engineering, mathematics, or physics. Strong mathematical, analytical, and problem-solving skills. Good communication skills for effective collaboration with software engineers, artists, animators, QA, and production staff. Self more »

members and upskilling the team.Experience: Cloud development and architecture experienceA team player with excellent communication skillsAdvanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.)Applied programming skills - Python, Rust, C++ or other major languages.Hybrid working model from their office in central London. Paying up more »

the team. Experience: Cloud development and architecture experience A team player with excellent communication skills Advanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.) Applied programming skills - Python, Rust, C++ or other major languages. Hybrid working model from their office in central London. Paying more »

Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors Degree in Data Science, Mathematics, Economics or similar 4+ years working experience working in the world of Data Science You're more than capable with SQL & Python You have exposure more »

be self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages such as Python and C++ BENEFITS: Hybrid more »

and data engineering teams to deploy and integrate deep learning models into our trading infrastructure. Qualifications: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks more »

relevant teams to resolve them, ensuring accuracy and reliability of data Ideal Skills, Knowledge and Experience: • A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field is desirable • Proven experience working as a Data Analyst or in a similar role Skillset: • Strong analytical skills with the ability more »

completeness, and integrityStay up-to-date with emerging trends and technologies in data analysisRequirementsBachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer ScienceProven experience in data analysis or a related roleProficiency in SQL and data queryingExperience with data analysis and visualisation tools (e.g. more »

features to continuously improve customer satisfaction. Lead Hardware IOT Product manager Responsibilities Qualifications Bachelor's or Master's degree in Computer Science, Physics, Applied Maths, Engineering, or related technical field. Proven track record of 5+ years in technical product management roles, preferably in hardware or IoT industries. Preferably 5+ years more »

integration By supporting sales leadership with strategic initiatives and projects to optimize sales performance Required Experience: Bachelor's degree in a numeric field (e.g., Mathematics, Statistics, Economics) required; advanced degree preferred Strong experience in a similar analytical role within a demanding environment Proficiency in BI and Data Science tools such more »

Foster a collaborative and inclusive work environment that encourages innovation, knowledge sharing and continuous improvement. Background Skills & Experience A degree in data science, statistics, mathematics, economics, or a related field is preferred. Proven experience implementing and using data modelling tools. Proven experience in data analysis and data management. Proven experience more »

at engaging with colleagues and clients and negotiating mutually beneficial solutions to project requirements • comfortable working on cross-functional project teams Desirable: • degree in Mathematics or a related subject • experience using website tagging software like Google Tag Manager • experience using SQL, Python or R • familiarity with Agile working • familiarity with more »