326 to 350 of 507 Statistics Jobs in London

communication and collaboration skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current practices More ❯

communication and collaboration skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current practices 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 ❯

to enhance depth and breadth of coverage Experience working with large datasets to quantify trends impacting the industry Ability to demonstrate qualitative and quantitative evidence to drivemercial decisions Use statistics and data visualization skills to report on results of ongoing operations and projects, as required Strategic vision to align team goals around providing outstanding service to the business and other More ❯

CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We More ❯

cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere More ❯

upon existing client relationships to maximize the value added to each customer and explore cross-sell opportunities within the StoneX Group. Track and evaluate client feedback and payment performance statistics to identify client challenges, gather insights, and introduce product improvements. Work closely with internal teams, such as regulatory compliance, trading, risk, client services, operations, and technology, to guarantee seamless integration More ❯

enhance depth and breadth of coverage Experience working with large datasets to quantify trends impacting the industry Ability to demonstrate qualitative and quantitative evidence to drive commercial decisions Use statistics and data visualization skills to report on results of ongoing operations and projects, as required Strategic vision to align team goals around providing outstanding service to the business and other More ❯

causal coherence, mechanistic fidelity, and utility in guiding real-world interventions. Communicate findings clearly across disciplinary boundaries, and contribute to high-impact publications. Professionally, you have PhD in ML, statistics, computer science or a related quantitative field. Deep expertise in causal inference, such as causal graphical models, counterfactual reasoning, or invariant representation learning. Strong background in one or more of More ❯

fill rate of our hardware-based trading strategy Reduce incidence of cancel-reject responses Investigate and report details of various latency-sensitive exchanges Skills Proficiency in data analytics including statistics, data visualization, and working with large data sets Basic understanding of TCP and UDP network protocols Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy) Some familiarity More ❯

Learning solutions that expand financial access What You Need Hands-on experience or Academic Publication in generative models (VAEs, GANs, diffusion models, or related methods) Advanced expertise in mathematics, statistics, and theoretical computer science Experience with deep learning, reinforcement learning, or specialised Machine Learning domains Experience with structured or unstructured data Proven ability to translate research into scalable algorithms Ideally More ❯

structural biology, physics, biophysics, bio/chem engineering, synthetic biology or a related field. You are an experienced molecular data analyst. As a data analyst, you use techniques from statistics, molecular dynamics and molecular visualization to generate insights on biomolecular problems. You are a skilful developer. You write software that is robust, tested and easy to maintain. You have experience More ❯

record in delivering GenAI applications using LLMs and orchestration frameworks. Strong Python skills and a solid grasp of modern backend and cloud-native architectures. Deep understanding of machine learning, statistics, and data-driven decision-making. Experience leading engineering teams and working with external partners or vendors. A commitment to responsible AI, including fairness, transparency, and security. Additional information Benefits Were More ❯

teams. The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning More ❯

teams. The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning More ❯

exposure management Expert-level coding skills in a language such as Python, C#, or C++ Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related. Please reach out for further info More ❯

exposure management Expert-level coding skills in a language such as Python, C#, or C++ Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related. Please reach out for further info More ❯

ll be able to commute to London on a full time basis and be a UK Resident. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial Engineering and have solid UK based experience in a Bank or FI. There will be a 2x stage interview process, initially Teams then face to face. We More ❯

ll be able to commute to London on a full time basis and be a UK Resident. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial Engineering and have solid UK based experience in a Bank or FI. There will be a 2x stage interview process, initially Teams then face to face. We More ❯

operational practices. Proficiency in Python is essential, and experience with cloud platforms like AWS, Azure, or GCP is highly valued. A background in a quantitative field such as mathematics, statistics, or physics is key, especially if you can connect technical insight to business needs. Success in this role depends on your ability to lead people, mentor teams, and communicate clearly More ❯

operational practices. Proficiency in Python is essential, and experience with cloud platforms like AWS, Azure, or GCP is highly valued. A background in a quantitative field such as mathematics, statistics, or physics is key, especially if you can connect technical insight to business needs. Success in this role depends on your ability to lead people, mentor teams, and communicate clearly More ❯

management, threading, memory allocation; - Experience working with Git, CI/CD, Kubernetes, Docker - Basic understanding of financial markets and concepts, prior experience working in the industry; - Basic understanding of statistics, stochastic processes and discrete math. - Experience in reactive programming frameworks and dependency injection frameworks. - Experience in optimizing software for efficient memory usage and cache-friendly data structures. Prior applicants - If More ❯

of SQL query optimization, memory management, and workload distributionin SAP HANA. Proven experience with performance trace toolslike ST12, ST05, SAT, HANA Studio PlanViz. Experience in analysing dump logs, database statistics, and job performance metrics. Excellent troubleshooting, RCA (Root Cause Analysis), and optimization mindset. Secondary Skills (Desired): Familiarity with SAP Business Technology Platform (BTP), AWS, or Google Cloud Platformfor performance analysis. More ❯

initiatives and investment • Present financial summary and business insights to senior management • Drive short- and long-term financial planning • Tighten internal controls BASIC QUALIFICATIONS - Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance) - Experience in tax, finance or a related analytical field - Experience in multiple More ❯

full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on More ❯