426 to 450 of 464 Statistics Jobs in London

build role at the intersection of risk, data, product, engineering and operations. What you’ll do: Work hands‐on with SQL (Snowflake, dbt), Python, statistics and modern AI‐assisted tools to explore data, test hypotheses, prototype controls and evaluate results. Map the end‐to‐end seller risk system, its data … transaction laundering and self‐dealing show up in the data. Strong hands‐on analytical ability, fluency in SQL (Snowflake, dbt or similar), Python and statistics, plus experience using LLMs on unstructured data such as website content or support tickets, with measured accuracy. Experience working with decision flow systems such ...

qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing … models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands‐on experience in implementing distributed/multi-threaded/scalable applications ...

mindset in a fast-paced, high-impact environment. Required Qualifications, Capabilities, and Skills: Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands-on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep … expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders ...

data analysis and trading Developing, augmenting, and calibrating exchange simulators Qualifications A bachelors, masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree Experience in high-frequency trading or quantitative trading is preferred but not a requirement A strong background in mathematics … statistics Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data Familiarity with signal generation and statistical models Strong programming skills in Python and/ ...

looking for? A strong academic record, including a minimum 2:1 degree or equivalent in a quantitative subject such as mathematics, statistics, computer science, physics or engineering A combination of strong software engineering and data skills Solid knowledge of algorithms, data structures and software fundamentals Experience building production data pipelines … with strong Python data processing skills Comfort applying probability and statistics to real-world data problems Motivation from seeing your work deliver measurable value A preference for highly collaborative environments that value innovation, proactivity and flexibility Hands-on experience of LLM-based agents and workflows is desirable ...

setting up or scaling an experimentation function, is an advantage. Agency-side experience, or experience working closely with agency partners, is an advantage. Experimentation & Statistics Deep, hands-on experience building hypotheses, implementing tests and analysing results across A/B, multivariate and personalisation testing. A strong grasp of experiment design … statistics, including sample size, power, significance and the common pitfalls in reading results. Working knowledge of CRO platforms such as Optimizely, VWO, Adobe Target, Monetate or Glassbox Optimize. Data, Analytics & Measurement Strong analytics skills across GA4, Adobe Analytics, Contentsquare and similar tools. Experience working with CRM, ecommerce and revenue data ...

design, reproducibility, documentation, and guidance for other engineers building the harness. What we're looking for BSc, MSc or PhD in Computer Science, Mathematics, Statistics, Physics or a related field, or the equivalent in the form of experience. Strong Python. 4+ years in ML engineering, writing production code and owning … calling tools, planning across steps and acting on the results. A chat interface over retrieval is not enough on its own. Strong foundation in statistics, experimental design and research: you can tell a statistically significant improvement from noise. Designed and shipped evals for outputs that can't be checked automatically ...

Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline 3+ years of hands‐on experience with Machine Learning and Statistics on large, unstructured, data sets Experience writing production code for multi‐client systems serving model results is a great plus Ability to clearly communicate research … other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments Experience with scientific computing, statistics, optimization, time series, panel data, etc. Comfortable handling multiple projects to solve varied problems working with multiple teams Detail‐oriented mindset Sense of ownership ...

engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders … Grafana App Platform:Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels.Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps ...

roles in sales operations, sales strategy, finance, business development, or other related fields Bachelor's degree or above in computer science, engineering, analytics, mathematics, statistics, IT or equivalent, or Master's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent Speak, write, and read fluently ...

Campus Quantitative Researcher (Full-Time) Graduate quant research role building predictive models and automated trading algorithms with training in markets, statistics, R, Python, C++, machine learning, and signal research. In-house training covers trading and market mechanics, statistics, R, Python, C++, machine learning, and the research process used to generate … software development as needed. What Jump looks for Undergraduate or graduate study in a technical field. Strong analytical, mathematical, and programming ability. Skills in statistics, data mining, mathematics, machine learning, or related areas. Strong drive to learn and an entrepreneurial mindset. Reliable and predictable availability. No prior finance or trading ...

Quantitative Researcher – Maths/Statistics/Machine Learning Hikaros Quant Lab (HQL) is a quantitative research and technology lab focused on solving difficult problems in financial markets through mathematics, statistics, machine learning and computation. We are assembling a small, highly selective research team and are looking for exceptional problem-solvers … quantitative research. You do not need a background in finance or trading. We are particularly interested in people whose expertise comes from mathematics, statistics, machine learning, physics, computer science, scientific computing or other research-intensive disciplines. We believe exceptional research ability is transferable: the financial domain can be learned; rigorous ...

Managers and the wider investment team What we're looking for Strong Python development skills Experience with quantitative research and backtesting Strong understanding of statistics and working with large datasets Strong software engineering fundamentals Experience building reusable research/data pipelines Strong academic background in Computer Science, Mathematics, Statistics, Physics ...

have experts from around the firm who will teach you advanced skills in a variety of areas such as Trading/Market Mechanics, Statistics, R, Python, C++, Machine Learning, and our research process. You will later be coached to successfully apply those skills to build predictive models, leveraging … programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.). No prior knowledge of finance or trading is necessary. We’ll give you the training that ...

deep learning and share relevant research with the team Your Skills and Experience A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Currently in your final year of study, graduating in 2027 A minimum of an MSc (PhD preferred … Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field Demonstrated experience in deep learning research or applied machine learning. For PhD candidates, we expect a record of research contributions in your area published at leading ML venues (e.g., NeurIPS, ICML, ICLR). For Bachelor’s and Master ...

decisions affect each courier, today and over time. Shape how Relay experiments across a live, two-sided marketplace. Adapt advanced techniques across causal inference, statistics and machine learning to Relay's problems, and see them through to production. Partner with Operational Research to embed your insights and models into Relay … Bring deep expertise in causal inference, experimentation and machine learning, whether from a PhD, publications, or years at the frontier in industry. Come from statistics, an experimental science such as biology or psychology, or quantitative research. Have applied advanced techniques to real marketplaces or products, and owned the outcome. Think ...

coaching a specialist team in automation, privacy‐enhancing technology and responsible data practice. Basic Qualifications Bachelor’s degree in data management, Computer Science, Statistics, Biostatistics, Life Sciences or a related field. Broad working knowledge of clinical development processes and the R&D data lifecycle. Proven experience in data governance, data … communication. Demonstrated ability to drive continuous improvement and innovation in an operational process environment. Preferred Qualification Master’s degree in Data Management, Computer Science, Statistics, Biostatistics, Life Sciences or a related field Certification in data governance or data management frameworks (e.g. DAMA/DMBOK, DCAM, EDM Council) preferred. Exposure ...

seeking professionals with the following required skills and qualifications to help us achieve our goals Bachelor's degree in data management, Computer Science, Statistics, Biostatistics, Life Sciences or a related field. Broad working knowledge of clinical development processes and the R&D data lifecycle. Proven experience in data governance, data … operational process environment. Preferred Qualification If you have the following characteristics, it would be a plus Master's degree in Data Management, Computer Science, Statistics, Biostatistics, Life Sciences or a related field Certification in data governance or data management frameworks (e.g. DAMA/DMBOK, DCAM, EDM Council) preferred. Exposure ...

benefiting from joint supervision, collaborative meetings and access to world-leading expertise, datasets, computational infrastructure and scientific networks. Applicants from machine learning, computer science, statistics, mathematics or related quantitative disciplines are encouraged to apply – prior genomics experience is not essential, and structured training and support will be provided. What … publications, conference presentations and dissemination of research findings. About you Essential: (Minimum criteria) PhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline. Experience developing and applying deep learning or AI/ML methods to complex scientific datasets. Strong programming and scientific computing ...

Analyse and resolve complex technical problems and roadblocks around data and tools access.Identify opportunities to optimise and automate workflows across a wide variety of projects.Work closely with Product Managers and Software Engineers to improve or ...

developer – so our internship program is designed to train you in a variety of areas. Topics include Machine Learning, trading/market mechanics, C++, statistics, and our research process for signal generation. Applying lessons from training, you will first work with fellow interns to develop your own predictive models … programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.). No prior knowledge of finance or trading is necessary. We’ll give you the training that ...

Overview We are looking for a Quantitative Analyst to join our team to develop our quantitative risk library. The role requires a mathematics and statistics background, with an understanding of financial fundamentals and enthusiasm for coding. While at WSD, you will further learn how to code and develop interactive libraries … requests from any service desk at WSD. Be a team player and actively communicate and cooperate with other teams. Qualifications Degree in Mathematics/Statistics/Computer Science, or any quantitative subject. Experience in coding in any programming language (preferably in JavaScript and Java). Experience in building software architecture ...

Agentic AI, orchestration, and adaptive systems (continuous feedback, dynamic reasoning, self-optimisation)AI methods for mining, classifying, and forecasting from heterogeneous data sourcesSpatial-temporal statistics/modelling from heterogeneous data (Bayesian hierarchical models, autoregressive models, random fields)Sequence/time-series modelling and language models, particularly transformer architecturesExplainable AI methodsCausal … this role, we are looking for candidates to have the following skills and experience: Essential criteriaPhD (or close to completion) in Computer Science, AI, Statistics, or a closely related fieldMachine learning and deep learningGenerative AI (text and numbers; excluding image, audio, video generation)Agentic AI, orchestration, and adaptive systems (continuous ...

Research Scientist (Machine Learning), London London Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. ...

Overview: We are looking for a Quantitative Analyst to join our team to develop our quantitative risk library. The role requires a mathematics and statistics background, with an understanding of financial fundamentals and enthusiasm for coding. While at WSD, you will further learn how to code and develop interactive libraries … requests from any service desk at WSD. · Be a team player and actively communicate and corporate with other teams. Qualifications: · Degree in Mathematics/Statistics/Computer Science, or any quantitative subject. · Experience in coding in any programming language (preferably in JavaScript and Java). · Experience in building software architecture ...