376 to 400 of 464 Statistics Jobs in London

management responsibility dependent on the candidate’s experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest ...

ideas into scalable solutions. You will own development from prototype through daily use, designing data pipelines, backtesting, and monitoring while applying strong Python and statistics foundations to energy markets. #J-18808-Ljbffr ...

Holdings, LLC. invites talented students to join its Quantitative Research Internship in London. You will tackle challenging problems in a trading environment using statistics, ML, and derivatives pricing theory, with access to the team’s research infrastructure for back-testing and validation. Day-to-day work includes modeling, data analysis ...

London-based proprietary trading firm, seeks researchers who can transform messy data into robust trading signals. You will work at the intersection of statistics, machine learning, and market microstructure, building strategies that operate in live markets. The team is small and highly collaborative, valuing rigorous applied research over backtests. Candidates ...

latency systems. The role is hybrid—3 days on-site per week with 2 days off-site—requiring a BS in Mathematics or Statistics and 2–7 years of software development experience, ideally in a trading environment. #J-18808-Ljbffr ...

have generated 8 mil in net revenue per employee. They are looking for this new QD to help them scale. Requirements BS in Mathematics, Statistics or similarly related. 2-7 years of experience with software development (ideally with modeling, quantitative analytics/development or execution). Experience working ...

negotiable. GA4 and Tag Manager implementations you did yourself, including the debugging. Working SQL or a scripting language for pulling and joining data. Enough statistics to know when a test result means nothing. Useful, not required BigQuery exports from GA4. Experience with heatmaps and session recording tools. #J-18808-Ljbffr ...

attack. We are a global market leader in ransomware post-breach remediation and cyber-attack first response. We deliver results that far surpass market statistics for cyber-extortion and ransomware events. Our team of cybersecurity professionals works with prominent global insurance carriers, leading law firms, and Fortune 1000 businesses. ...

dataset you wish existed, rather than wait for someone else to give you one. Establisher of evals You think from first principles about statistics and evaluating ML systems. You're suspicious of benchmarks that don't match reality. Builder of agent systems You understand deep-learning, agent tools, context management ...

/OS performance and scalability Deep practical experience investigating: table and index growth; index design and access-path performance; RUNSTATS, REORG and statistics strategy; access-path regression; buffer-pool performance; GETPAGEs and I/O; locking, timeouts and deadlocks; high-cost SQL and packages; data archival/lifecycle strategies; performance ...

team of Direct and Channel Sales Development Representatives Oversee the followup and qualifying of direct and partner leads by SDRs Monitor the daily statistics of the Sales Development Representatives and identify any discrepancies in reporting Support Channel Sales Development Representatives by assisting with partner escalations Ensure all procedures and policies ...

existing models, processes and analytical techniques. Communicate complex analytical findings clearly to technical and non-technical stakeholders. Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets ...

existing models, processes and analytical techniques. Communicate complex analytical findings clearly to technical and non-technical stakeholders. Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets ...

honestly, whilst providing solutions and options You keeps abreast of the latest advancements in data science, machine learning and generative AI. Deep grounding in statistics, data science, and applied ML . Strong experience with computer vision and generative/LLM systems . Proficiency in Python, NoSQL (MongoDB), and frameworks such … valuation models. Background in Proptech, Fintech, insurance, or financial services data ecosystems. Bachelor’s, Master’s or PhD in a quantitative field. For example, Statistics, Computer Science, Data Science, Mathematics, or a related STEM subject degree. What We Offer Competitive compensation package Staff share options pool. 29 days annual leave ...

combine strong quantitative skills with genuine experience developing new computational methods.You should have:A PhD (or equivalent experience) in Computational Biology, Computer Science, Mathematics, Statistics, Physics, Machine Learning, Bioinformatics, or a related quantitative disciplineProven experience developing novel algorithms, computational methods, or machine learning models, preferably within genomics or other large … position, please contact us for a confidential discussion on your career. Keywords: Computational, Genomics, Scientist, Research, Algorithm, Development, ML, Machine, Learning, AI, Bioinformatics, Statistics, Python, Maths, Sequencing, Modelling, Analytics, Computational, Software, Data, Biology, Quantitative, Programming, Cloud, Innovation, Biotechnology, Research, NGS, Pathogen, Bacteria, Virus, Disease, Oncology #4829052 - Ben Van Zwanenberg ...

personally delivering reliable, maintainable, well-documented production solutions using modern testing, CI/CD, logging, and source-control practices. Strong quantitative grounding in mathematics, statistics, numerical methods, or a related discipline, with the ability to work effectively alongside quantitative researchers and distinguish research questions from implementation decisions. Hands-on expertise … across distributed teams and global locations while maintaining accountability for technical quality and business outcomes. Qualifications Bachelor's degree in computer science, engineering, mathematics, statistics, physics, or a related quantitative or technical field, or equivalent experience. 10+ years of relevant software, data, quantitative, or analytics engineering experience. Demonstrated experience leading ...

personally delivering reliable, maintainable, well‐documented production solutions using modern testing, CI/CD, logging, and source‐control practices. Strong quantitative grounding in mathematics, statistics, numerical methods, or a related discipline, with the ability to work effectively alongside quantitative researchers and distinguish research questions from implementation decisions. Hands‐on expertise … across distributed teams and global locations while maintaining accountability for technical quality and business outcomes. Qualifications Bachelor’s degree in computer science, engineering, mathematics, statistics, physics, or a related quantitative or technical field, or equivalent experience. 10+ years of relevant software, data, quantitative, or analytics engineering experience. Demonstrated experience leading ...

contribute to reports, publications and presentations Person Specification Essential A PhD or equivalent experience in a quantitative field, such as computer science, machine learning, statistics, physics, computational neuroscience or quantitative psychology, and a track record of high-quality, well-tested and reproducible technical work you have delivered yourself. Strong Python … learning and NLP, including large language models, to real‐world free text, and turning the results into clear, practical findings. A strong grounding in statistics and research design, and experience designing and running evaluations of AI models or systems, including validation against human judgement. Sound judgement about when ...

business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation … experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready ...

About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely ...

lead causal inference and experimentation across a live two‐sided marketplace. You will measure how decisions affect couriers and customers, adapt advanced causal inference, statistics and ML techniques, and partner with Operational Research to embed insights into network‐wide optimisation. The role combines rigorous research with production‐ready delivery, within ...

causal inference initiatives across a live two-sided marketplace. You will measure effects on couriers over time and shape experiments, applying advanced ML and statistics to production systems. Ideal candidates bring PhD-level or equivalent experience, a track record in causal inference and production-ready tooling, and a collaborative mindset ...

merchant-level impacts, and translate insights into production-quality models and optimisations that shape Relay’s network decisions. You’ll collaborate with teams across statistics, machine learning and operations research, ensuring rigorous experimentation, clear signal extraction, and robust, scalable solutions that drive real-world #J-18808-Ljbffr ...

tools that communicate insight clearly. Work cross-functionally to embed data science into products, workflows and decision-making processes. Keep up with developments in statistics and data science and bring the useful ones into our analytics. Provide trusted expert guidance to internal and external stakeholders. What we're looking … deep statistical expertise, strong commercial awareness and a track record of helping others succeed. Essential A minimum of 8 years of industry experience applying statistics, mathematics and machine learning to real-world problems. Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred). ...

collaborative, working closely with NGS vendors, and internal and external stakeholders to analyse, interpret and present results and overall conclusions. Strong skills in programming, statistics, and knowledge of genetics are essential, with a focus on accuracy, quality control, and data integrity. NGS experience in the drug discovery field is advantageous. ...