126 to 150 of 464 Statistics Jobs in London

role. For more information on our Analytics Career Map and levelling structure, click here.QualificationsWHAT YOU’LL BRINGQuantitative Foundation. Ideally, you have a background in statistics, maths, physics, engineering, economics, or another scientific field. You apply first-principles thinking to break down complex operational problems.A Statistical Mindset. You have a natural ...

presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Who you are: Bachelor's, Master’s, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience ...

software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Strong analytical and problem solving skills using math, statistics, and programming Demonstrated ability to learn technologies and apply Excellent communication skills including experience speaking to technical and business audiences and working globally Strong programming ...

collaborate in a globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering ...

similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics, signal research, backtesting or factor modelling; full stack familiarity (Flask, Django, FastAPI); SaaS build/deploy on cloud (Docker, AWS or similar); an understanding ...

full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise Preferred Qualifications: 0-to-1 Execution: Experience taking the very first machine learning models ...

pipelines. Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring ...

build for the love of it. An interest in economics, forecasting, financial services, or research‐led businesses. A degree in Computer Science, Mathematics, Statistics, or equivalent practical experience. What success looks like In your first 3 months You’re set up and contributing. Your first pieces of AI‐enabled software ...

Learn and grow through mentorship from experienced technical leaders. Requirements: Bachelor's degree (or expected graduation) in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or another quantitative field. Minimum expected classification equivalent to a UK 2:1 degree. Experience with Python through coursework, personal projects, or internships. Understanding ...

futures trading. Exposure to CICD-style implementation/release methodologies with a large complex codebase. Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field. Additional Relevant Experience Prior role as a quantitative developer supporting a multi-asset systematic trading business. Experience with ...

signals for trading strategies Back-test hypotheses, build predictive models, and produce systematic strategies Requirements Must have Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, Quantitative Finance Experience developing software systems an in object-oriented language is a plus Python/R/MatLab, highly skilled ...

including the ability to explain technical concepts to non-technical audiences.Beneficial Skills & QualificationsPhD preferred in a STEM discipline, including but not limited to Mathematics, Statistics, Physics, Computer Science, Data Science, Machine Learning, Artificial Intelligence, Operations Research, Quantitative Finance, Econometrics, Engineering, or a related quantitative field.Master’s degree required ...

discouraged when the path forward isn’t immediately clear. You hold at least a Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field. Where You'll Be This role is based in London We offer you the flexibility to work where you work best! There ...

/Edge AI/TensorFlow/scikit-learn/Linux/Git/Machine Learning/Artificial Intelligence/Computer Science/Mathematics/Statistics RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role isn't of interest, please visit our website ...

learning and AI. Required Skills: Education: BSc/MSc in a technical degree, including but not limited to Mathematics, Quantitative Finance, Physics, Computer Science, Statistics or Engineering. Machine Learning and AI: Experience with machine learning and AI techniques, or a strong ability and willingness to learn new techniques quickly. Python ...

datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression, causal inference fundamentals. You know when a statistical method fits and, more importantly, when ...

function grows, and keep up with developments in data science and AI so we can bring the best ideas into underwriting. Statistics and machine learning. You have applied statistical and machine learning methods, to real business problems, and can design analyses and experiments that measure impact. Python and SQL. ...

participate in social events, learning programs, and development workshops alongside industry professionals. Qualifications Currently pursuing an undergraduate degree in Business, Economics, Data Science, Statistics, Computer Science, or a related discipline. Strong analytical and problem-solving skills, with proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Looker). Excellent ...

strong portfolio demonstrating clear editorial judgement and narrative structure across data-driven projects. Nice-to-haves: Degree/MSc in Locational Analytics, Design, Statistics, Computer Science, or a related discipline. Existing interest in or familiarity with global commodities, energy markets, trading, or maritime transportation. Strong desire to experiment with ...

datasets Strong problem-solving skills, technical judgment, and a collaborative working style Education Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field, or equivalent practical experience Additional Information All your information will be kept confidential according to EEO guidelines. Optimizely is committed ...

market data structures and how they are used in pricing and risk calculations.PhD preferred in a STEM discipline, including but not limited to Mathematics, Statistics, Physics, Computer Science, Data Science, Machine Learning, Artificial Intelligence, Operations Research, Quantitative Finance, Econometrics, Engineering, or a related quantitative field.Master’s degree required ...

Finance Specialist, you should have the following experience: Undergraduate or equivalent degree in a numerical or technical discipline (e.g., Mathematics, Statistics, Computer Science, Engineering, Economics) Understanding of Finance workflows and ability to identify and deliver automation opportunities using AI technologies Deep knowledge of Machine Learning and Generative AI principles, data ...

shape our roadmap and product. What you’ll need to be successful MSc or BSc in a relevant field (e.g., Computer Science, Engineering, Physics, Statistics), or equivalent practical experience. Hands-on experience developing data science or data engineering solutions. You’re comfortable writing production-grade code, not just notebooks. Solid ...

related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

skills. Nice to Have: Experience measuring the productivity or operational impact of GenAI tools like developer copilots or customer service agents. Familiarity with advanced statistics, including regression, causal inference, and control group design. A background in economics, econometrics, behavioural economics, or experience working in aviation and travel. Understanding of modern ...