1 to 25 of 141 Mathematics Jobs in London with Remote Work Options

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

non-technical audience. Self-awareness, tenacity and stamina to relentlessly focus on driving improvements. A degree, Masters or PhD from a leading university in Mathematics, Physics, Economics or Computer Science incorporating Data Science or Analytics based modules. Excellent attention to detail, with high quality written and verbal communication. Experience 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 in Model Validation and Model life-cycle management. • Experience/knowledge 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 »

on onsite and offsite campaigns across their growing media network. Skills and experience required: Educated to degree level or higher in a numerate subject; Mathematics, Statistics, Economics, Operational Research, Physics, Chemistry, Engineering or Computer Science). Previous analytical experience showing application of insight which address business questions. An advanced user 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 »

determine root cause. Any additional duties as assigned. Role Requirements Bachelor’s degree or equivalent in an engineering/numerate subject (e.g. Engineering, Stats, Maths, Computer Sciences) Experience in full-stack development and applying it to build science products (E.g. could include some or all Python/R, Linux scripting more »

high-performance computing, by using Design Patterns and SOLID Principles. Essential: Experience working on the .Net Framework as a Software Engineer, particularly .NET 5+. Mathematics skills such as dealing with matrices, probabilities, and statistics. Familiarity with SQL and experience working with relational databases. Experience using Kafka or equivalent distributed event more »

high-performance computing, by using Design Patterns and SOLID Principles. Essential: Experience working on the .Net Framework as a Software Engineer, particularly .NET 5+. Mathematics skills such as dealing with matrices, probabilities, and statistics. Familiarity with SQL and experience working with relational databases. Experience using Kafka or equivalent distributed event more »

capabilities, and support others development. Build strong relationships with managers, peers, and stakeholders. What we're looking for: 2.1 degree or higher in a mathematics related discipline or evidence of equivalent proficiency. Experience in a related Insurance Pricing role is essential. Excellent numerical mathematical skills. Understanding of machine learning techniques. more »

postgraduate experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work more »

working with distributed systems such as Spark Experience supporting and working with cross-functional teams in a dynamic environment. Degree/MSc in Applied Mathematics, Computer Science or equivalent Experience in the energy industry from the supply or trading side is desired but not required Skills required: Natural curiosity for more »