1 to 25 of 82 Statistics Jobs in London

data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Physics, Computer Science, or a similar quantitative discipline The Senior Data Scientist will ideally have the following attributes: Experience working with large-scale transactional, behavioural ...

markets and securities (focus on cash bonds/rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time-series analysis, asset-pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying ...

Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event‐driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production AI/ML systems, including monitoring and governance. Solid understanding of secure system design, data privacy ...

senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least ...

markets and securities (focus on cash bonds/rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time‐series analysis, asset‐pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying ...

processes across sites, and contributing to org‐wide mechanisms that raise the performance ceiling for peer sites. Basic Qualifications Bachelor's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field Experience as an acting operations manager, or experience managing large teams across multiple ...

game and provide a competitive advantage to the club. Person Specification Skills & Experience Essential Masters or higher degree in a quantitative field (Mathematics, Statistics, Computer Science, or related fields). Demonstrable experience as a Data Scientist or combined experience with a related role within data science or research. Extensive technical ...

Capabilities, and Skills Demonstrated quantitative and problem-solving skills, including research abilities Strong understanding of advanced mathematics in financial modeling (probability theory, stochastic calculus, statistics) Hands‐on experience with data analytics, large data sets, and tools for analysis and visualization Proficiency in code design and programming, primarily Python and C++ ...

warehouse and relational database design and object management Qlik platform administration and maintenance (including Qlik Cloud) Ability to use data science techniques and statistics, including use of Python/R Ability to manipulate data in data lakes using PySpark/Experience with cloud-based data architectures and scalable data solutions ...

Practical experience with Machine Learning problems and Large Language Models Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering with Python, including experience with production ML infrastructure (model serving, data pipelines ...

Practical experience with Machine Learning problems and Large Language Models. Ph.D. in ML, NLP or a relevant field; or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience. Proficiency in software engineering with Python, including experience with production ML infrastructure (model serving, data pipelines ...

with internal policies for model risk management and data governance. Required Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 5+ years of front‐office quant experience supporting trading/risk in F&O and/ ...

cloud environment Experience with BI tools (Tableau, Power BI or Looker) Solid experiment design skills — A/B, multivariate, incrementally testing Degree in statistics, mathematics, computer science or related field Strong stakeholder management — able to present findings clearly in trade and senior business meetings Excellent reporting skills — translating complex data ...

research rigor, code quality, and reproducibility. Required Qualifications, Capabilities, and Skills Master’s degree in a STEM field (Computer Science, Engineering, Mathematics/Statistics, Physics) or equivalent practical experience. Solid relevant experience in quantitative execution research, TCA, algorithmic trading, or closely related electronic trading analytics roles. Demonstrated expertise ...

Person Specification Education and Qualifications Essential Educated to Masters Degree level or equivalent in an appropriate field to analytics (e.g. numerical/quantitative - Mathematics, Statistics, Physics, Engineering or Computer Science) or significant experience of working at a similar level in specialist area. Experience Essential Extensive experience in leading on collecting ...

analytics solutions rather than reporting alone Strong stakeholder management and communication skills Experience explaining insights to non-technical audiences Understanding of statistics, predictive analytics or modelling techniques Python experience would be highly beneficial Experience working within complex operational environments would be advantageous A pragmatic approach with the ability to work ...

business audiences. Curious, hardworking and detail‐oriented, and motivated by complex analytical problems Preferred qualifications, capabilities , and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning ...

your team as you solve challenging problems together. Minimum (essential) Requirements A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval‐augmented generation (RAG), model evaluation ...

extraordinary curiosity about business and industry Knowledge of time‐value of money concepts, risk return frameworks, asset allocation models highly desirable Good applied statistics skills, such as distributions, statistical testing, regression, etc. Proficiency in using query languages such as SQL desirable Experience with common data science toolkits, such … experience, Solid 1+ Year experience in Machine learning development projects Job Skills & Responsibilities: Experience in machine learning Exposure to machine learning models and corresponding statistics like K‐means, Bayesian, Clustering Strong technical skills with Python along with NumPy, Pandas, Scikit‐Learn Machine learning experience -> predictive and prescriptive modelling Data wrangling ...

data science and machine learning Expert‐level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end‐to‐end data science solutions into production Leadership and mentorship capabilities to elevate team performance ...

highly collaborative teams. Motivated by complex analytical problems; curious, hardworking, detail‐oriented. Preferred Qualifications, Capabilities, and Skills Strong background in Mathematics and Statistics and familiarity with financial services industry and continuous integration models and unit test development. Knowledge of graph integration with LLM, reinforcement learning or meta‐learning. Experience with ...

SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation, continuous ...

scale datasets to extract precise, detailed market insights. Advanced experience using Microsoft Excel for complex data modelling and reporting. An educational background in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field. Exceptional communication skills demonstrated by the ability to translate complex statistical data into clear, actionable business strategies ...

launches. Basic Qualifications Experience directly managing scientists or machine learning engineers. Master’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or PhD. Knowledge of ML, NLP, Information Retrieval and Analytics. Experience building complex highly‐scalable systems that involve predictive models ...

test Graphcore’s next generation of AI hardware. About you Essential: Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation ...