201 to 225 of 557 Statistics Jobs in London

clients use Python, R or similar tools in research and data-engineering workflows. A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline. Python proficiency is valuable but is not the principal requirement for this leadership role. The candidate should ...

knowledge of C# Operation of Kubernetes Clusters Building cloud native applications (AWS) Front-end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Data Engineering skills Experience in building production grade software with Agentic AI What we expect from our co-workers Curiosity and strong desire to learn ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

conception to delivery while aligning with business objectives.· Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies)· Have experience of leading ...

drive realistic customer expectations. You will embody our culture and values. QualificationsRequired QualificationsBachelor's OR Master's OR Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results ...

have a view on where it helps and where it doesn’t. The requirements Essential: Statistical foundations . Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference . Experience separating signal from noise in observational ...

ignore.Desired Experience & Qualifications8+ years in an analytics, data science, or decision science role at a consumer tech companyAdvanced degree in a quantitative field (economics, statistics, quantitative social science, operations research) or equivalent practical experienceDemonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity ...

quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge … collaborating across teams and promoting analytical best practices. What We\'re Looking For: Required: Master\'s degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related ...

making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders … promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science ...

Microsoft Fabric to develop practical, production-ready machine learning solutions. We are looking for a Data Scientist with a solid background in Machine Learning, Statistics and Predictive Analytics to join NTT DATA UK's Data Practice. You will contribute hands-on across the model development lifecycle, from data understanding … modern cloud data or analytics platform, such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS or GCP. · MSc or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Artificial Intelligence, Physics, Engineering or a related quantitative discipline. · Experience with Spark or distributed data processing frameworks. · Experience preparing data pipelines or analytical ...

recurring workflows, and scale insight delivery.What You Need to SucceedThe ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.Significant experience in data science … analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.Demonstrated experience applying advanced analytical methods—including machine learning, causal inference, synthetic controls ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

support to analysts and key stakeholders. You will need to have the following: A PhD or equivalent advanced qualification in Machine Learning, Data Science, Statistics, Mathematics or another quantitative discipline. Experience building and deploying production-grade machine learning models, with a solid understanding of MLOps, Git and CI/ ...

exposure to interest rates swaps, fixed income futures, interest rate options and foreign exchange. Experience in interest rates curves construction methodologies• Knowledge of statistics, including time series analysis and regressions• Strong organization skills with the ability to present results clearly and iterate with PMs accordinglyThe ideal candidate will be someone ...

modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience. Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University. Expert in Python (KDB/Q is a plus). Demonstrated knowledge of quantitative finance, mathematical modelling, statistical ...

analysis of vital theoretical values What you bring to the team... Currently pursuing a bachelor’s, master’s, or PhD in mathematics, economics, physics, statistics, computer science, or an engineering‐related field with an expected graduation date between December 2027 and August 2028 Advanced quantitative, analytical, and problem‐solving skills ...

industry presentations and research publications Skills/Must Have Strong quantitative background with excellent analytical and problem-solving skills Python programming experience Understanding of statistics and experimental design Experience working with data science or machine learning workflows Interest in LLMs, generative AI and agentic systems Ability to analyse data ...

experience in model validation or front office in an area of electronic trading (either agency or market making) Excellence in probability theory, stochastic processes, statistics, and numerical analysis. Strong understanding of option pricing theory and quantitative models for derivatives. Excellent communication skills (written and verbal) Risk and control-oriented mindset ...

derivatives.Employ technical proficiency in SQL, Python, Snowflake, and/or Oracle, along with data quality frameworks.Hold a Bachelor’s degree (or higher) in mathematics, statistics, engineering, computer science, finance, or a related quantitative field.Bring 3+ years of experience in global data operations or support teams within peer firms, with ...

working within a modern data stack; direct experience with BigQuery and Looker is a strong advantage.Analytical acumenStrong understanding of measurement approaches, data analysis and statistics — you think carefully about what a metric actually means before you build it.Able to hold both the technical and business context simultaneously, ensuring every data ...

complex concepts. Willingness to work independently and in an energetic, fast‐paced, team‐oriented environment. BS or BA degree in computer science, math, physics, statistics, or a related field. Experience in a relevant financial domain is a plus. Equal Opportunity Employer Wellington Management is an equal‐opportunity employer. All qualified ...

external partners and internal departments including Engineering, Product and Sales on strategic product development and executionDefine, measure and manage impact of your work using statistics and data visualization toolsBuild quality data workflows to verify and validate third party dataCommunicate with impact, ensuring relevant information is articulated in a meaningful ...

team leadership skills: mentoring, cross‐functional collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting ...

Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. ...

NSFR.Drive continuous improvement of analytics tools and methodologies, incorporating industry best practices and emerging technologies. Required Qualifications Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Engineering, or a related quantitative discipline. Advanced degree preferred. Significant experience (typically 5+ years) in liquidity risk analytics, treasury functions, or financial risk management within ...