601 to 625 of 700 Statistics Jobs in London

process documents are created to support training across the team Collaborate with Actuaries, Underwriters, Data Engineers and Data Analysts to conduct analyses and apply statistics to answer specific day-to-day questions or support larger initiatives. Develop data-driven stories to answer some of the toughest questions in insurance through … Reserving and Underwriting practices Experience in Insurance Accounting, or familiarity with London Market specialty business lines for Insurance coverages and data. Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry experience. Expert programming and data manipulation skills using SQL and Python Strong data visualization skills ...

Your new department Computational Real-World Evidence (cRWE) is part ofData Science within the AI & Digital Innovation organisation. The team applies causal inference, advanced statistics, machine learning and artificial intelligence to population-levellongitudinal datasets, including electronic health records, claims data, disease registries and large human cohorts. Our work focuses … skills and a passion for solving complex healthcare challenges. We are looking for candidates with: A PhD or equivalent research experience in data science, statistics, mathematics, physics, computer science, computational biology or another quantitative discipline. Strong expertise in statistical modelling, machine learning, AI or a related discipline, with demonstrated ability ...

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 ...

robust game engine framework and tools for game simulation and RTP calculations. The role requires strong Java development skills, a mathematical mindset for statistics and probability, and experience with agile methodologies within a gaming context. #J-18808-Ljbffr ...

Jump Trading Group in London seeks Quantitative Researchers to analyze vast data sets and extract insights for predictive trading models. You will apply statistics, machine learning, and data engineering across forecasting tasks and live markets to drive results. You will collaborate with researchers, traders, and tech teams to push methodological ...

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. Skills & Experience 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). ...

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. Skills & Experience 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). ...

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). ...

feedback to your line manager on the Quality process on site and issue improvement recommendations. Generate and close out punch lists and generate quality statistics for tracking and monitoring purposes. Use of the project Web based quality application to generate reports and close out actions. Co-ordinate with the client ...

agreed IT Infrastructure changes and following maintenance routines Network Support – Uses Network Management tools where applicable to investigate and diagnose network problems, collect performance statistics, and create reports Customer Service - Liaise with customers regarding fault correction progress and circuit installations Maintain customer equipment manuals, network drawings and circuit databases accurately ...

have a strong understanding of the Housing Ombudsman’s Complaints Handling Code and know how to apply it practically.Data-Driven: You are confident using statistics and feedback to identify trends, and you aren’t afraid to challenge heads of service or directors to drive real improvements.A Calm Communicator: You possess ...

tools such as Azure DevOps Experience working within healthcare, insurance or other highly regulated industries is desirable Bachelor's degree in Computer Science, Mathematics, Statistics or another quantitative discipline is desirable Master's degree in Data Science, Statistics, Epidemiology or a related field is desirable Core Competencies Demonstrates expertise ...

evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. Responsibilities Partner with PhD researchers to design, implement, and productize machine … ownership, execution, and prioritization Foster engineering consistency, standards, and best practices within Research Requirements Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design) Demonstrated mathematical maturity — comfort ...

statisticians – to align on methodology and develop your expertise across acquisition. The requirements Essential: Statistical foundations. You have a background in probability and statistics from a quantitative field – typically a degree (or recent/final-year Master's) in Statistics, Mathematics, Physics, or similar. You reason about uncertainty and calibration ...

Apply professional judgment to ensure methodological rigor, clinical relevance, regulatory sensitivity, and statistical accuracy . Required Qualifications Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Mathematics, or a related quantitative discipline . Strong experience in biostatistical analysis, clinical research, healthcare research, or pharmaceutical research . Expertise … analytical, problem-solving, written, and verbal communication skills . Ability to work independently in a fully remote environment . Preferred Qualifications PhD in Biostatistics, Statistics, Epidemiology, Public Health, or a related field . Experience working with clinical trials, pharmaceutical research, medical research, or regulatory submissions . Familiarity with ...

QUALIFICATIONSMaster's or PhD degree2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in researchProven experience applying machine learning techniques to solve business problemsProven experience in translating technical methods to non-technical stakeholdersStrong programming experience in Python and the relevant analytics libraries (e.g., pandas … learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub)ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer visionAbility to write production code ...

process documents are created to support training across the team Collaborate with Actuaries, Underwriters, Data Engineers and Data Analysts to conduct analyses and apply statistics to answer specific day-to-day questions or support larger initiatives. Develop data-driven stories to answer some of the toughest questions in insurance through … Reserving and Underwriting practices Experience in Insurance Accounting, or familiarity with London Market specialty business lines for Insurance coverages and data. Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry experience. Expert programming and data manipulation skills using SQL and Python Strong data visualization skills ...

Purpose We’re looking for an exceptional Data Scientist with a strong background in human genetics and genomics, and advanced skills in data science, statistics and computational analysis. You might be a great fit for this role if you’re a methods-oriented domain specialist within the broad field … Prior experience working in a team, ideally in an industry setting. A PhD or postgraduate degree in genetics, genomics, computational biology or bioinformatics, or statistics and machine learning applied in these fields. Your Package We are committed to providing a transparent, supportive, and rewarding work environment. Compensation & Growth Competitive Salary ...

We are looking for a full-time data scientist to work with us on the following areas: Product deployment – creating, deploying, and maintaining new KPI trackers. Research – finding, collecting, and evaluating new data sources, developing ...

technology, and data specialists to optimize pricing, hedging, and trade analysis. The role requires extensive programming experience and a strong grasp of modern markets, statistics, and governance. You will work across multi-language stacks and align with Firm risk and compliance standards. #J-18808-Ljbffr ...

real-time trading, pricing, risk management, and PnL from day one. You will design, back-test, and implement systematic trading strategies, apply advanced statistics and ML, and participate in full lifecycle from research to deployment. Collaboration with senior traders and software engineers is key in a fast-paced, agile #J ...

closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations. Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science ...

analytics, product data science, or a similar role, ideally in a consumer subscription or digital product business. A strong grounding in data science methods - statistics, experimentation and machine learning - ideally with a postgraduate qualification in data science, statistics or a related quantitative field. Strong SQL and Python. This is core ...

outside experts scrutinize our approach and trust the results. What you should bring 6+ years in a commercial, high-performing product organization doing applied statistics and data science - not solely academic or research-lab experience. Strong statistical and probabilistic reasoning , with hands-on fluency in confidence intervals, hypothesis testing, power … modeling, behavioral analysis, etc) This role isn’t for you if... You've only worked in academic or research settings and haven't applied statistics to real commercial product decisions. You prefer narrow, well‐scoped analytical problems over work that spans statistics, regulation, product, and customer context. You need complete ...

individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets. Principal Responsibilities Efficiently monitor data flows across various systems, ensuring accuracy, completeness, and timeliness. Maintain and enhance the functionality and efficiency … provide high quality support on solving the issue both internally or with vendors. Qualifications/Skills Required Masters or bachelors in computer science, mathematics, statistics or other field with good coding skills 2 + years of financial industry experience preferred Programming expertise in Python or similar language Experience working with ...