1 to 25 of 933 Master's Degree Jobs in London

feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Requirements Bachelor's degree or Master's degree with several years of experience. Several years of experience building models for business applications. … learning. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Practical experience in solving complex problems in more »

results and exceeds clients' expectations. Leads and supervises, persuades and influences, creates and innovates, presents and communicates. Level 6 qualifications (or equivalent). Degree apprenticeship, degree with honours - for example bachelor of the arts (BA) hons, bachelor of science (BSc) hons, graduate certificate, graduate diploma, level … NVQ. You'll also have: GIS tools. Adobe products. Values sustainability and social responsibility, acts inclusively. Level 7 qualifications (or equivalent) integrated master's degree, for example master of engineering (MEng), level 7 award, level 7 certificate, level 7 diploma, level 7 NVQ … master's degree, for example master of arts (MA), master of science (MSc), postgraduate certificate, postgraduate certificate in education (PGCE). Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do more »

engineering efforts with machine learning requirements. Participate in team meetings and contribute to project planning and strategy discussions. Education & experience: Bachelor or Master's degree in data science, data engineering, or Computer Science with a focus on math and statistics/Master's degree is preferred. 3+ years experience as data engineer building data pipelines with Python, Spark or similar. Strong foundation in computer science principles and statistical methods. Strong experience with cloud technology (AWS or Azure). Strong experience with the creation of data ingestion pipelines and ET processes. more »

find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. - Relevant experience … Fluency in written and spoken English. PREFERRED QUALIFICATIONS - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue). - PhD or Master's degree in Computer Science, or related technical, math, or scientific field. - Proven knowledge of Generative AI and hands-on experience building more »

using modern statistical methods like GLM, machine learning and where applicable, Knowledge Graphs and Large Language Models. Minimum Requirements: Degree, Master's degree or Ph.D. in a relevant field such as Computer Science, Statistics, Economics or Applied Mathematics. Several years of experience in more »

Investments and Quantitative Methods. Consistently demonstrates clear and concise written and verbal communication skills. Bachelor's/University degree, Master's degree preferred. This job description provides a high-level review of the types of work performed. Other job-related duties may more »

and development of compensating controls. Contribute to strategic, cross-functional initiatives within the model risk organisation. What we'll need from you: Master's Degree or equivalent in STEM or other quantitative fields required (Mathematics, Statistics, Financial Engineering, Quantitative Finance etc.) with demonstrated Quantitative experience. … of relevant experience will be considered for candidates with higher academic qualifications and/or certifications such as a PhD, a second master's degree, CPA or CFA. Some experience in a quantitative role in risk management at a financial institution with experience in either more »

using modern statistical methods like GLM, machine learning, and where applicable, Knowledge Graphs and Large Language Models. Minimum Requirements: Degree, Master's degree, or Ph.D. in a relevant field such as Computer Science, Statistics, Economics, or Applied Mathematics. Practical experience in statistical modelling more »

issues, work allocation but especially mentoring/coaching. Data Analysis capabilities (Database or Spreadsheet), with extensive experience using Excel required. Education: Bachelor's degree/University degree or equivalent experience. Master's degree an advantage. Graduate in STEM (Science, Technology … Engineering and Mathematics) or Finance disciplines. FRM/CFA or other Financial mathematics degree or certification is an advantage. Competencies: Excellent verbal and written English. Ability to collaborate effectively in a large global team. Ability to take ownership and proactively follow up on issues. Ability to work well more »

evaluate product performance post-launch, gather feedback, and iterate on features to continuously improve product quality and user experience. Qualifications: Bachelor's degree in Computer Science, or related field; MBA or equivalent experience preferred Proven experience (5+ years) in product management, preferably in a SaaS environment or more »

what makes UCLH a great place to work, visit: Why Choose UCLH? Person Specification Knowledge and Qualifications Essential 1st or 2nd class honours degree in computer science, a physical science, engineering, or equivalent Relevant PhD or equivalent (MSc/MEng with additional specialist training or research experience) State more »

the investment team to improve data solutions. Proactively investigate new data science methodologies and technologies to benefit team objectives. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to more »

the investment team to improve data solutions. Proactively investigate new data science methodologies and technologies to benefit team objectives. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to more »

leadership materials Build effective relationships and work closely with our deal team colleagues on diligence and value creation projects Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to more »

scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our more »

systems to replace complex decision-making with simple solutions and facilitate end-to-end operational control of fulfillment execution. BASIC QUALIFICATIONS Completed Bachelor Degree (Math, Engineering, Science, Business). Large scale, cross-functional project management experience. Thorough understanding of all aspects of Lean Six Sigma (define, measure, analyze … Ability to negotiate, persuade, and build relationships based on trust with internal customers and stakeholders PREFERRED QUALIFICATIONS Advanced degree/Master's Degree (Math, Engineering, Science, Business) Lean six sigma Black Belt (Master black Belt preferred) Certified Demonstrable experience of hands more »

methodologies, and shaping platform features to ensure the platform remains at the forefront of the maritime SaaS space. Skills and experience Education Master’s or Ph.D. in Data Science, Maritime Studies, Economics, Finance, or a related field. Experience Experience data analysis, market research, or maritime analytics. Expertise more »

methodologies, and shaping platform features to ensure the platform remains at the forefront of the maritime SaaS space. Skills and experience Education Master’s or Ph.D. in Data Science, Maritime Studies, Economics, Finance, or a related field. Experience Experience data analysis, market research, or maritime analytics. Expertise more »

Work with 3 rd party providers of AI products to evaluate and implement solutions achieving Investcloud's business objectives. Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional more »

your expertise in scorecard modelling, decision models, and fraud model development. Continuously monitor and refine models for optimal performance. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong background in credit & lending, fintech How more »

to enhance hedging strategies . Collaborate with trading, structuring, and technology teams to drive innovation in pricing and risk solutions. Key Requirements: Advanced degree (MSc/PhD) in Mathematics, Physics, Engineering, Quantitative Finance, or Computer Science . Strong programming skills in Python , with some exposure to C++ . more »

explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression more »

able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. We are an equal opportunity employer more »

success. The organisation comprises product managers, technical product managers, BIEs, data engineers, data scientists, and vendor-facing teams. BASIC QUALIFICATIONS - At least a Masters degree in computer science, physics, statistics, mathematics, or a similar quantitative discipline. - 5+ years of experience in using multiple data science methodologies to solve more »

R Already have an understanding of profitability and the key drivers of commercial performance in a lending business Have at least a numerate degree, preferably a masters, and be a confident practitioner of statistical techniques you are A problem-solver with excellent analytical skills A broad thinker who more »