1 to 25 of 558 Master's Degree Jobs in London

domain roadmaps. Support the selection and implementation of enterprise architecture tools to accelerate and govern technology initiatives. Experience: Bachelor’s or Master’s degree in a relevant field. 15 years of SAP experience. 5 years of SAP S/4 HANA architecture experience. … user adoption and ensure project success. Ensure adherence to project management best practices, methodologies, and quality standards. Experience: Bachelor’s or Master’s degree in a relevant field. Minimum of 5 years of experience in SAP project management roles. Proven track record of successfully more »

most recent developments and advancements in technology. Communicate regularly with internal and external stakeholder presenting clear and insightful findings. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Excellent communication skills with proven experience working more »

projects, driving both innovation and strategy targeting business problems Regularly interact and present to both technical and non stakeholders. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in customer-driven modelling, with more »

agile environments (OKRs), excellent communication and collaboration skills, passion for data science and mentoring, and a desire to share knowledge. PhD/Master's in CS, ML, or related field (preferred), innovative problem-solving skills, proficiency in Python and TDD practices, and a proactive learning mindset. If more »

of innovative tools. Deliver quantitative analytics to the desks that promote decision making. Maintain adequate control functionality. Required Qualifications, Capabilities and Skills Advanced degree (Masters, PhD, or equivalent) in Math, Sciences, Engineering or Computer Science; Software design and development skills, particularly in Python or C++; Experience with complex more »

provide valuable feedback. Building data visualisation insights and reports, explaining the commercial impact and value of the technical work Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in NLP, regression, clustering Excellent more »

of data literacy and data-driven decision-making across the ICE exchanges organization Knowledge and Experience Strong quantitative and analytical background -- bachelor’s degree in finance, mathematics, engineering, physics, applied statistics, data science, or similar numerate discipline (master’s degree preferred) Extensive more »

Contribute to a culture of innovation, striving for excellence and setting new benchmarks in systematic fixed income trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machine learning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python more »

Some familiarity with Python Ability to architect and implement code to address high-level requirements Experience implementing high-performance algorithms & grid computations Master’s/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university Excellent communication and interpersonal skills. Full more »

take ownership of projects and 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 more »

PhD from a top-ranked institution Experience with common Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable interest in audio recognition algorithms and related programming paradigms is more »

products are chosen. To apply for this Enterprise Architect role, your soft skills, expertise and experience should include: A Bachelor's/Masters degree in Computer Science, Software Engineering or related degrees. 5+ years of experience in enterprise architecture or similar roles. At least 2 years of more »

term investments.Drive continued scientific innovation and advance the team's engineering craftsmanship as a practitioner and thought leader.What we’re looking for… Masters degree with Applied Research experience (Phd in Computer Science or related field with a focus on Machine learning is a strong plus).Experience in more »

and across the full development lifecycle You have strong analysis and problem solving skills You have excellent communication and collaboration skills You are degree educated in Computer Science or closely related discipline and will likely have studied to MSc or PhD level What's in it for more »

of technical work and leadership. Providing proof of concepts, proving value, and creating scale-up solutions more robust. Lead Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in stakeholder management with effective communication skills. Technical capability of LLMS and NLP more »

the QR teams Provide periodic model monitoring 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 more »

company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. more »

complex quantitative concepts and findings to non-technical stakeholders, fostering a collaborative and informed decision-making environment.Required Qualification/Skills1. Educational Background:* Master's in a quantitative discipline such as Computer Science, Finance, Economics, Statistics, or a related field (preferred).2. Professional Experience:* Minimum of more »

leadership meetings to 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 more »

ownership of projects and be self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, 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 more »

on the Global Commodities space Preferred Technical Skills Strongly skilled in Python Experience programming in C is a plus Bachelor, Masters, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field Excellent communication, analytical, and problem-solving skills Preferred Experience 2-4 years of more »

machine learning You should have at least 1 year of professional experience in data science and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture more »

ideally some of this being in Equity derivatives with experience in vanilla and exotic products (flow products experience also desirable). 1st class degree with MA/PhD in a numerate field from a top university. Excellent maths intuition. An intuitive understanding of derivatives and market knowledge. Experience more »

during construction and O&M – ensuring progress against technical specifications including time, quality and cost. Job Requirements: Relevant engineering degree: Master’s degree in addition will be preferable 5+ years of professional experience as a in engineering consultancy in offshore wind due diligence more »

Innovation strategy. Training and Support: Create training materials and support users in new technologies. Qualifications and Experience Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience: Proven experience in data science, AI, or machine learning, preferably in more »