1 to 25 of 218 Permanent Mathematics Jobs in England 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 »

ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering more »

engineering practices (CI/CD, containerization) Comfortable working independently and handling ambiguity Skills and Experience: Desired University honours degree qualification preferably in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience Domain experience/demonstrable interest in economics-related fields Experience or familiarity with AI model evaluation 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 »

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 »

impactful changes, working closely with credit analysts, data scientists, senior management, and other stakeholders. What We’re Looking For: A strong Mathematical background in Maths, Physics, Statistics, Computer Science, or a related field. Excellent ability to analyze and interpret data to support decision-making. A team player with a balance more »

technical solutions. Stay updated with the latest advancements in machine learning and data science. Candidate Requirements: Bachelor’s degree in Data Science, Machine Learning, Mathematics, Computer Science, or a related field. Master’s degree preferred. Minimum of 3 years of industry experience in a related role. Experience working in a 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 »

technical solutions. Stay updated with the latest advancements in machine learning and data science. Candidate Requirements: Bachelor’s degree in Data Science, Machine Learning, Mathematics, Computer Science, or a related field. Master’s degree preferred. Minimum of 1 year of industry experience in a related role. Strong technical proficiency in 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 »

knowledge sharing. Experience in fostering a collaborative and innovative work environment.Education and Additional Skills: A degree or equivalent experience in a quantitative field (e.g., Mathematics, Computer Science, Engineering). Experience with scheduling platforms like Kubeflow and an understanding of advanced programming principles are highly desirableLet’s talk about what’s more »

and integration of quant analytics libraries.· Experience supporting a production risk engine managing a portfolio of Fixed Income cash and derivative products.· Degree in Mathematics/Computer Science or a related field.· Project management and leadership skills.· Experienced with management responsibilities - performance reviews and feedback.Desirable skills/Preferred Qualifications:· Experience 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 Visual SLAM 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, C++ and Lidar Benefits 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 »

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 »

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 in Model Validation and Model life-cycle management. • Experience/knowledge more »

creativity. Proven ability to coach and mentor more junior team members. Calm and empathetic approach to working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the more »

Data Engineering team.Key Requirements:Extensive experience working with Azure Data Engineering tools and other cloud platforms.Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field.Experience leading or mentoring a team of Data Engineers.8+ years of experience in Data Engineering or a related field.Strong experience with data modelling more »

usability testing, and market research to understand user needs and perceptions. Qualifications Bachelor’s or Master’s degree or equivalent experience in Computer Science, Mathematics, Physics, or an equivalent. Sophisticated knowledge of Machine Learning, Analytics or Data Science preferred. Minimum of 8+ years in product management, with at least more »

learner – you have a drive to learn and continually develop your skills and abilities • Degree or work experience in a numerate or analytical subject (Mathematics, Statistics, Computer Science, Economics, Physics, Engineering, Accounting, Finance or similar) desirable • Comfortable identifying and raising issues, particularly where driving good outcomes for customers are concerned more »

facilitate alignment on main issues and opportunities Recommend and implement new systems to enhance team productivity Requirements Bachelor’s degree in business, engineering, finance, mathematics or a relevant quantitative field. MBA a plus 7+ years of experience in business/strategic planning, revenue operations and/or relevant experience in more »

and well-being benefitsUnique employee events and programs including a 14er challengeComplimentary beverages, snacks and all employee Happy HoursMust have skills Computer Science, Engineering, Mathematics, or related field of educationExpertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAIStrong programming skills in Python, R more »

Digital and Data Profession Capability Framework for the role. This will draw on your skills and experience in the area(s) detailed below ● Applied Maths, Statistics and Scientific Practices ● Programming and Build (Data Science) ● Data Science Innovation ● Data Engineering (Data Science) For more details, please click the link: Data scientist more »