1 to 25 of 350 Mathematics Jobs in the UK with Remote Work Options

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

science and financial modelling.Qualifications: At least 5 years of experience as a data scientist or quantitative risk modeller. Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field (advanced degrees preferred). Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL 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 »

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 »

training and guidance at appropriate levels on the use of data, data systems and the interpretation of information Person Specification Qualifications Essential Degree in mathematics/statistics/finance or subject requiring high levels of numeracy, or equivalent qualification or experience Desirable Computing related degree or equivalent Personal Qualities, Knowledge 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 »

solutions that are reliable, scalable, and operate in compliance with firm-wide processes. Qualifications Either a PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field) with 3+ years of professional experiences or An MS degree in a quantitative field plus 5+ years of 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 »

and decision-making abilities Exceptional attention to detail and accuracy Effective communication and interpersonal skills Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, or related field 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 »

Capture, document and prioritise feature builds within an agile environment. Essential Criteria Second Class Honours Degree as a minimum in Computer Science, Software Engineering, Mathematics, Electronic Engineering or another related discipline 1-4+ years of experience and familiarity with development and delivery Python development experience Proven experience of development more »

and non-technical audiences through compelling presentations. You are a perfect fit if you have: 🎓 A degree in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related field (or equivalent experience). 💻 Strong programming skills in Python (NumPy, Pandas), SQL, and Excel. 🧩 Excellent analytical and problem-solving skills. 🗣 Effective 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 »

non-technical stakeholders. Proven track record of driving business results through data-driven decision-making Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) Benefits : Pension Office has a good vibe and good communication, growing all the time. Holiday entitlement - 25 days plus public/Bank more »

skills and advanced knowledge of Excel; Python/R experience desired but not essential Degree or work experience in a numerate or analytical subject (Mathematics, Statistics, Computer Science, Economics, Physics, Engineering, Accounting, Finance or similar) Methodical, logical approach with a commercial aptitude Additional requirements: Where possible this will be done 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 »