226 to 250 of 716 Statistics Jobs in London

on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the ML model More ❯

comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications : Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or people-focused business intelligence. Advanced proficiency More ❯

transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience More ❯

team. Ad-hoc analysis: Perform ad hoc analyses to support various departments and provide venue-specific insights for strategic decisions. Qualifications Degree in a relevant discipline (e.g., STEM, Maths, Statistics, Physics) or equivalent experience. Experience in an analytical role, preferably within the gambling or gaming industry. Proficiency in SQL and at least one of Python, R, or SAS. Knowledge of More ❯

You have excellent communication skills, with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences. You are familiar with statistics, A/B testing, and data storytelling principles. A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred. You are proactive and thrive in a More ❯

solutions to ensure ease of use and maintainability - Handle data in accordance with Amazon policies and security requirements BASIC QUALIFICATIONS - Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - 3+ years of data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Knowledge of distributed systems concepts from data storage and More ❯

team Collaborate with software developers to maintain or productionize risk tools Required Experience and Skills: Bachelor's Degree in a technical or quantitative field (Financial Engineering, Mathematics, Financial Math, Statistics, Computer Science) 3-5 years of work experience Knowledge of financial markets and financial instruments; exposure to related risk analytics and pricing preferred Previous programming or scripting experience (using Python More ❯

technical and non-technical. Learn quickly and continuously - from new tools and techniques to client domains and business challenges. What You'll Bring Must-Have: A strong foundation in statistics, probability, and machine learning fundamentals - either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. More ❯

current processes, suggest solutions to improve efficiency and accuracy, and track performance Who you are Bachelor's degree in a relevant field such as Data Science, Mathematics, Computer Science, Statistics, or a related discipline 3-5 years of professional experience in data analytics, ideally with gaming or consumer-facing product experience Strong SQL skills and fluency in data modeling and More ❯

their implications. What We are Looking For: Basic Qualifications: 3-5 years of experience in a data science role. Degree in a highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

specialists in data science & engineering to strategy, insights and analytics experts WHAT WE'RE LOOKING FOR Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline Experience designing, developing, evaluating and optimising data science models and NLP solutions 3+ years' experience with Python, with strong code design skills, and More ❯

Markets Front Office CCR RWA across multiple asset classes by leveraging a wide variety of mathematical and computer science methods and tools. Develop pricing models using advanced financial mathematics, statistics and probability, numerical techniques such as Monte Carlo Methods and partial differential equation solvers. The implementation uses primarily Python and C++ programming languages. Support and collaborate closely with trading desks More ❯

or advertising experience with a top advertiser (agency or client side) - Experience with advertising publishers and marketing/creative agencies - MBA, Master's or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience - Experience in ad measurement, predictive analytics, experimental design, A/B testing - Experience and familiarity with AWS stack - Fluent in French or More ❯

with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. - A passion for solving problems with data More ❯

libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective More ❯

looking to advance their career in a globally renowned research environment. Ideal candidates will hold an undergraduate degree, master's, or equivalent in a quantitative subject such as bioinformatics, statistics, computer science, or a related field. Applicants must possess strong coding and data analysis skills, particularly in R, Python, and other relevant scripting languages. Experience working with large biological datasets More ❯

metrics Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics Minimum Qualifications Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 4+ years More ❯

Technical Reserving; and to ensure continuous improvements in stakeholder satisfaction with our outputs. What you'll bring: Bachelor's or Master's degree in Actuarial Science, Computer Science, Mathematics, Statistics, or a related field. Relevant experience in P&C insurance reserving, with a strong focus on data management and system development. Strong programming skill in SQL. Experience, or an aptitude More ❯

mining, utilities, transportation, consumer goods, or capital markets. You have a flair for breaking down problems into logical parts and constructing clear reasoning and analyses, using quantitative analysis methods, statistics & data-driven thinking. You have energy and drive, a passion for continuous learning and mastering new topics, and an understanding of how forces like digital and the energy transition will More ❯