251 to 275 of 464 Statistics Jobs in London

target Learn more about benefits at our client. Minimum qualifications: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences, or equivalent practical experience. Experience in one area of computer science (e.g., Natural Language Understanding, Human ...

particularly interested in candidates who bring experience in some of the following areas: Developing and deploying machine learning models in production environments. Applying statistics, analytics and machine learning techniques to solve complex business problems. Experience in one or more of the following areas: Developing and applying machine learning solutions ...

strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture with an owner mentality A data enthusiast – You enjoy working ...

with data from complex domains (FinTech, Fraud Detection or Payments Processing are a significant plus)A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering) is considered a plus.Additional InformationBring all of you to workWe create the conditions for high performers to thrive, through ...

with data from complex domains (FinTech, Fraud Detection or Payments Processing are a significant plus) A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering) is considered a plus. Additional Information Bring all of you to work We create the conditions for high performers ...

years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems. Deep understanding of frequentist and Bayesian statistics, plus supervised and unsupervised modelling techniques. Proven experience modelling complex interactions (e.g., cluster or network effects). Expertise in model explainability to tune feature engineering ...

modern data or experimentation platform (e.g. Sigma, Mixpanel, Amplitude, Statsig, Optimizely). Hands‐on experience building or scaling an experimentation programme, with solid statistics: power analysis, variance reduction, sequential testing, and common pitfalls. Strong data modelling: dimensional modelling, SCDs, event schema design, dbt, and SQL at a high level. ...

looking for the following education, experience, and skills:You have a degree in data science, computer science, clinical informatics, life sciences, technology, statistics, or a related field.You bring experience in clinical development, biometrics, clinical data management, or a related pharmaceutical research and development discipline.You have led large-scale business transformation ...

concurrent, high‐throughput, low‐latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175k to $225k, depending on the candidate’s experience, qualifications ...

algorithms, tuning, and performance evaluation. Experience with a range of feature engineering techniques (e.g. target encoding). Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. Experience in writing clean, production-grade Python code for both model training and inference. Excited to leverage LLMs for coding support ...

facilitating discussions with senior leadership regarding technical/architectural trade‐offs, best practices, and risk mitigation BS degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Experience with software development lifecycle, or experience in agile/scrum or related collaborative workflow Experience leading engineering discussions around technology decisions ...

such as NumPy, SciPy, pandas or Polars,Pydantic,Plotly, or equivalent technologies. Experience with time‐series or sensor data, data validation, numerical optimisation, simulation, statistics, or uncertainty analysis. Familiarity with typed Python, developer and user documentation, linting and formatting tools, and modern Python project tooling. Experience verifying scientific software against ...

complex topics Keen attention to detail Strong verbal and written communication Demonstrable experience working with Python and good Python knowledge A good understanding of statistics A strong understanding of algorithm optimisation A strong foundation of working with command‐line tooling and knowledge of unix What you will gain ...

scale Preferred Qualifications Experience with training and deploying machine learning systems to solve large-scale optimizations PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) Experience with Large Language Model fundamentals, including architecture, training/inference lifecycles, fine‐tuning, continuous pre‐training and optimization of model execution, or experience ...

platform (SimcorpOne), helping improve functionality and implementation approach What we value Essential: Degree in a quantitative or technical field such as Mathematics, Statistics, Physics, Finance, Computer Science, Engineering, Econometrics, or related discipline 5+ years of experience delivering SaaS solutions Solid technical foundation with practical programming experience in Python, Java ...

project and can explain what it helped you do, how you checked its output and what you learned. Some familiarity with databases, data visualisation, statistics or cloud-based data tools. You do not need to meet every point or have experience with our exact technology stack. We are more interested ...

effective manner Participate in the development of an inclusive, helpful, fun environment About You Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, or related technical fieldpreferred A professional with 5+years experiencewith Python. Knowledge of NumPy, Pandas, Scikit-learn, andNetworkxis an extra bonus! Experienced working directly ...

teams as much as building models- You care about real customer and business impactYou must haveCredit and machine learning- Strong knowledge of machine learning, statistics, and decisioning systems- Deep experience in credit risk and lending- Experience building, deploying, and iterating credit models in production- Experience pushing the innovation frontiers ...

risk and P&L implementation and production support. Experience in trading application development. Advanced degree in a quantitative field such as Mathematics, Financial Engineering, Statistics, Engineering, Physics or Computer Science. Knowledge of Fixed Income products is a plus. Strong communication skills (the role requires effective collaboration across a range ...

based .NET/C# technologies and tools. • Experience with object-oriented design and implementation, design patterns, SOLID principles. • High numeracy skills, passion for maths, statistics and complex algorithms. • Line management experience. • General knowledge of the Insurance Industry. • Degree-educated with Computer Science, Engineering, Mathematics or relevant discipline. What we offer ...

scientific rigor while guiding them through applied ML and production constraints. Skills & Experience Education: Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field. Experience: 5+ years of industry experience developing, validating, and deploying large-scale ML models in production environments. Algorithmic Expertise: Strong ...

metrics Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights Role Requirements B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields Demonstrable proficiency with analytics-relevant AI-tooling 4+ years experience in a centralized data analytics teams in close partnership with ...

part of a product team on a customer-visible surface, ideally having owned an insights, analytics or intelligence feature yourself A quantitative background (statistics, CS, physics, econometrics or equivalent) applied to real data problems Comfort in a polyglot codebase and a willingness to pick up a second language ...

high-calibre data scientist and data leader with strong technical depth — advanced Python and/or R, SQL, data engineering and pipeline building, applied statistics/ML, and modern dashboards/BI — with the judgement to architect systems, not just analyse data. Demonstrable experience at the frontier of AI , using ...

flows. Proficiency in risk management. Experience in continuous improvement initiatives to enhance the user experience. Working in high-pressured projects to tight timescales. Producing statistics and reports through PowerBI, ServiceNow and MS Products, as required. Maintaining appropriate, accurate and robust templates, processes and documentation. Experience of using ServiceNow ...