51 to 75 of 147 Statistics Jobs in London

Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write More ❯

using KDB+/q Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role, such as risk and More ❯

consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for More ❯

be a data domain expert and facilitate data informed decision making within EBRD's HROD department. The role holder helps support decision makers by visualising data, analysing trends, applying statistics and finding insights using the Bank's suite of business intelligence tools - Cognos, Tableau and Alteryx. Accountabilities & Responsibilities Deliver Improvements to the HR Reporting Capability Responsible for understanding relevant Bank More ❯

a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field 5+ years of experience required Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Stakeholder More ❯

working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field Knowledge of Python or R or other scripting language Experience in building quantitative solutions as a scientist or science manager Experience directly managing scientists More ❯

additional languages. Education: Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as an More ❯

AI engineering and Machine Learning Excellent software engineering skills with a strong knowledge of Python A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms, linear algebra. Advantageous Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine-tuning generative models Experience building tools and technologies within More ❯

the Analytics team and help answer the most difficult business challenges. Key requirements Experience in the London or Lloyd's insurance markets is essential Have an Advanced degree in Statistics, Computer Science, Mathematics or a related field or relevant industry industry experience Have knowledge of programming and data manipulation skills such as SQL and Python, and version control (Github) is More ❯

years of hands-on experience as a Machine Learning Engineer or similar role. Proven track record of designing and deploying machine learning models in production environments. Solid understanding of statistics, data mining, and algorithm design. Experience in collaborating within agile teams to deliver project objectives and meet deadlines. Excellent analytical skills, with the ability to troubleshoot and optimize complex machine More ❯

data science community Are we the perfect match? You have 7+ years of experience as a hands-on Data Scientist You hold a degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Machine Learning) You're confident in Python (production-level) and SQL, and at home with modern ML libraries such as Pandas, scikit-learn, and TensorFlow You have practical More ❯

Tableau, Looker, PowerBI). Team contribution: Mentors others, shares knowledge, and strengthens analytics delivery through collaboration. Education & Experience: You have a degree in a quantitative field such as Geography, Statistics, Engineering, or Economics, and 4–6 years of experience in analytics—preferably with exposure to property, space, or store planning. Benefits Wellbeing & Lifestyle Benefits Health Cash Plan Life Assurance Incentive More ❯

environment Willingness to work with a geographically distributed team structure in an extremely fast-paced and challenging environment. Graduate degree in Computer Science, Mathematics, Operational Research, Information Science, Engineering, Statistics is preferred. Hands-on experience in analytics delivery with exposure to either Visualization tools, Advanced Analytics or cloud data tech will be an added advantage. Self-driven individuals with an More ❯

business impact. Demonstrated ability to balance long-term strategic goals with immediate client needs, driving both growth and operational excellence. Deep expertise in data science methodologies, including machine learning, statistics, modeling, predictive analytics, multivariate analysis and data visualisation. A strong proficiency in Python, R, or similar languages, along with experience in cloud-based data platforms like GCP, Azure, or AWS. More ❯

new markets/opportunities Perform post-trade analysis of strategies. Collaborating with quant developers to implement trading strategies and system features. Job Requirements Master's, or PhD in mathematics, statistics, engineering, computer science, or related quantitative analytical field. 5+ profitable trading experience on a leading trading desk in a bank, proprietary trading, or market making environment in any asset class. More ❯

data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

NLP/LLM projects into production. Solid understanding of model deployment, pipelines, and software development fundamentals. Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and data analysis. Experience working in Agile environments. Familiarity with technologies such as AWS, GCP, Kubernetes, Ray Serve, and Kubeflow is desirable. ---------------------------------------- Professional Values Growth: Demonstrates curiosity, adaptability, and continuous More ❯

learning models for business application - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree - Experience in building Computer Vision (CV) systems. Our inclusive culture empowers Amazonians to deliver the best results for our More ❯

data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production More ❯

of SaaS software sales experience. You're bright. Bachelor's Degree Required. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or Operations Research considered a plus. You’ve already proven your sales expertise exceeding your quota for other SaaS-based technology solution providers. You’ve done More ❯