for help where necessary iM Qualified Because I Have A Master's or Ph.D. degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure More ❯
examples and projects that illustrate what we need, we're happy to have a conversation. Technical requirements: Bachelor's degree or higher degree in statistics, data science, computer science, economics, or another quantitative field. 7+ years' experience applying data science/machine learning in a commercial setting. Track record of More ❯
planning. Create data visualization dashboards, handle ad-hoc data requests, and independently complete analytical reports. Requirements Bachelor’s degree or above, preferably in Mathematics, Statistics, Computer Science, Information Management, or related fields. Proficient in English for professional communication; experience in internet-based international business is a plus. Familiar with data More ❯
planning. Create data visualization dashboards, handle ad-hoc data requests, and independently complete analytical reports. Requirements Bachelor’s degree or above, preferably in Mathematics, Statistics, Computer Science, Information Management, or related fields. Proficient in English for professional communication; experience in internet-based international business is a plus. Familiar with data More ❯
Services Programming experience in one or more of the following; Python, R, VBA, SQL Strong proficiency in Tableau and Excel Relevant degree subject (Maths, Statistics, Data Science or another Science related subject) An interest in finance and the investment management industry Exposure to machine learning Excellent communication skills and business More ❯
scientist function in a B2B environment. Programming experience in one or more of the following: Python, R, VBA, SQL, Alteryx. Relevant degree subject (Maths, Statistics, Data Science or another Science related subject). An interest in finance and the investment management industry. Exposure to machine learning. Excellent communication skills and More ❯
machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. More ❯
machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. More ❯
Process raw data and build a model to predict revenue (2-4 hours). A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving. More ❯
Process raw data and build a model to predict revenue (2-4 hours). A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving. More ❯
to stakeholders and users, and strong communication skills are essential. What we’re looking for: Advanced degree in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science or similar At least 5 years of experience in a front office development role at a major investment bank Experience of designing, building More ❯
to stakeholders and users, and strong communication skills are essential. What we’re looking for: Advanced degree in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science or similar At least 5 years of experience in a front office development role at a major investment bank Experience of designing, building More ❯
and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment bank. Essential Skills: Proven More ❯
and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment bank. Essential Skills: Proven More ❯
teams, including clinicians, data scientists, and regulatory experts. Contribute to scientific publications, presentations, and reports . Requirements: Master's degree or PhD in Biostatistics, Statistics, Epidemiology, or a related field. Minimum of 2 years industry experience Experience or coursework in real-world data analysis (e.g., claims data, electronic health records More ❯
to-end product, from the idea to real-time trading Required qualifications, capabilities, and skills You have an advanced degree (or equivalent) in mathematics, statistics, or computer science. You demonstrate strong programming skills in Python, Java, or similar languages. You have hands-on experience processing with large tick datasets and More ❯
and maintain analytical tools and dashboards Participate in process improvement initiatives Qualifications 2:1 or above degree in one of the following: Data Science, Statistics, Mathematics, or a related analytical field Strong numerical and analytical abilities Experience with coding languages Valid UK driving license Problem-solving mindset Ability to explain More ❯
of IRB models (as a developer or validator), with a degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics, and a high level of competence in SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g. More ❯
data-driven and technical focus. About You: Recently graduated (or graduating) with a strong degree (2:1 or above) in a quantitative discipline (Mathematics, Statistics, Actuarial Science, Data Science, Engineering, or similar) from a top-tier university . Achieved A or A in Mathematics at A-Level (or equivalent). More ❯
UK employee hire and will play a critical role in EMEA expansion Experience with a degree in Mathematics, Economics, Computer Science, Information Management or Statistics Strong knowledge of and experience with reporting packages, databases, and programming Adept at queries, report writing and presenting findings Experience in using statistical tools for More ❯
perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and More ❯
perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and More ❯
Microsoft Azure ✅ Good knowledge of optimisation techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!) What’s in It for You? 🌟 Flexible remote working, must be UK based. 🌟 Work on cutting-edge Gen AI projects More ❯
papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications: Master's or PhD in computer science, statistics, or a related field. 2-7 years of experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a More ❯
and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 5 years of experience in a front office development role at a major investment bank. Essential Skills: Experience More ❯
