1 to 25 of 34 Statistics Jobs in the City of London

storytelling skills, ideally using Power BI or similar tools. Experience working with large, complex, and imperfect datasets. Degree in Data Science, Computer Science, Mathematics, Statistics, or a related discipline, or equivalent commercial experience. What's on Offer Opportunity to work on a modern enterprise data platform with significant datasets ...

Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes. Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.) Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra. Experience conducting hands-on analytics projects ...

data analysis team. Assist with calculating business performance and provide training to colleagues. Requirements: Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, Marketing, or a related field. Strong interest in data analysis, market research, business intelligence, and data-driven decision-making. ...

side or sell-side with a genuine interest in sustainable investing Undergraduate degree in a quantitative discipline such as finance, economics, mathematics, statistics, computer science or a related field Strong programming skills, particularly in Python and SQL, with experience manipulating and analysing large datasets Experience using modern generative AI tools ...

programming (Gurobi, CPLEX, OR-Tools). Experience with network optimisation, routing, scheduling, pricing or revenue management. Advanced degree (MSc or PhD) in Data Science, Statistics, Mathematics, Computer Science, Operations Research ...

engage effectively with both technical and non-technical stakeholders. Strong documentation skills and attention to detail. Degree in Computer Science, Data Science, Mathematics, Statistics, or a related discipline, or equivalent commercial experience. What's on Offer Opportunity to work on a modern cloud-based data platform. Exposure to analytics ...

Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills and experience working with relational databases. Sound understanding of statistics, predictive modelling and machine learning techniques. Experience working with geospatial datasets using GeoPandas, QGIS or similar technologies. Ability to work with large and complex datasets ...

standard for technical execution, design thinking, and engineering rigor You’ll need to have: A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field or degree‐equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows ...

modelling are used across the audit lifecycle. Essential Requirements: Degree (Bachelor’s, Master’s or PhD) in a quantitative field (e.g. mathematics, physics, statistics, computer science, finance or engineering), or equivalent experience. 2-5 years of experience in analytics or modelling within financial services. Strong attention to detail with experience ...

Oracle, with hands-on experience in data quality frameworks and automation tools. Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality ...

production execution Review research reports and articles that examine recent developments in the energy markets Qualifications: Pursuing Bachelors or Masters in Mathematics, Engineering, Finance, Statistics, Business, Economics, Energy, Computer Science, Physics or a related field of study Expected graduation date in 2028 Prior internship/exposure to the commodities markets ...

Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences Qualifications Skills we're looking for: Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding ...

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 ...

looking for PhD completed or nearing completion (within next 12 months max) from a leading global university Strong academic background in Mathematics, Statistics, Physics, Computer Science, Machine Learning, Econometrics, Operations Research or a related quantitative field Evidence of exceptional research ability, such as publications, academic awards or work on technically ...

optimize model performance in live trading environments. Basic Qualifications Education: Ph.D. or Master’s degree in Machine Learning, Computer Science, Physics, Applied Mathematics, Statistics, or a closely related quantitative discipline from a top-tier academic institution. Programming Expertise: Advanced proficiency in Python and C++ within a Linux/UNIX environment. ...

platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy ...

gathering skills. Excellent communication and documentation abilities. Experience supporting solutions through testing, deployment and production support lifecycles. Degree in Computer Science, Data Science, Mathematics, Statistics or a related discipline, or equivalent commercial experience. This is an excellent opportunity to join a growing Data & AI function and play a key role ...

screen and data designs Competent at understanding and extracting data in relational databases for assessment and testing(SQL) Competent a data analysis and basic statistics Competent at understanding JSON data structures and being able to visual data manipulation. Ideally some experience in Machine Learning/Artificial Intelligence and/ ...

/CD pipelines Familiarity with Microsoft Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote ...

technical integration and migration of new, complex data source systems into our existing data pipelines and model ecosystems Develop and evolve platform reporting statistics/data to monitor ongoing model success Engage key stakeholders to understand needs and requirements Provide guidance on usage and translating needs for changes/ ...

efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor’s/Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful … Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning ...

launch Partner with product and commercial teams to shape strategy Your Skills and Experience Strong experience in experimentation and causal inference Background in Economics, Statistics, or a related field Solid grounding in econometrics and A B testing Experience with counterfactual analysis or simulation methods Proficiency in Python ...

NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience ...

Networks, and Transformer architectures. Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment. Good foundation in statistics, probability, optimization, experimentation, and applied machine learning. Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel … community through publications, patents, conference presentations, research, or open-source projects. Education Bachelor’s degree or equivalent experience in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning, or a related quantitative field. Master’s or equivalent experience or PhD preferred. What you’ll get in return ...

ability — and confidence — to interrogate data, draw insights, and share outcomes with clarity. Whether your background is Computer Science, Software Engineering, Data Science, Applied Statistics (or a closely related field), what matters most is your depth of understanding and passion for building great software . Most importantly, you’re excited ...