76 to 100 of 112 Statistics Jobs in Central London

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

development Produce high-quality insurance proposals and policy documentation Requirements 4+ years’ experience in a data science, actuarial, or underwriting environment Strong quantitative background with a degree in maths, statistics, physics, or similar Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling Interest or prior experience in parametric insurance and/or climate risk modelling Track record More ❯

development Produce high-quality insurance proposals and policy documentation Requirements 4+ years’ experience in a data science, actuarial, or underwriting environment Strong quantitative background with a degree in maths, statistics, physics, or similar Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling Interest or prior experience in parametric insurance and/or climate risk modelling Track record More ❯

right approach Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision Comfortable working with AWS services (e.g. SageMaker, Lambda) Strong grasp of statistics and modelling, with the ability to turn raw data into actionable insight Willingness to learn the basics of backend development (Python/Django or Go) to support end-to-end More ❯

manipulate complex datasets. Background in R&D, start-up, or consulting environments where innovation and adaptability are key. Experience working with marketing and customer journey data. Solid understanding of statistics, experimentation, and data-driven storytelling. Confident communicator who can work independently and deliver results quickly. More ❯

and able to serve multiple users. Converting structured, unstructured, and semi-structured data into actionable insights for a business. Educational Criteria : Bachelor’s degree in computer science, Maths, IT, statistics or physics related field. You should be entitled to work in the UK with legal work authorization status. Must be willing to travel within the UK as per project/ More ❯

and able to serve multiple users. Converting structured, unstructured, and semi-structured data into actionable insights for a business. Educational Criteria : Bachelor’s degree in computer science, Maths, IT, statistics or physics related field. You should be entitled to work in the UK with legal work authorization status. Must be willing to travel within the UK as per project/ More ❯

outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under pressure. Comfortable working in a digital-first, fast-moving environment . Must hold SC More ❯

outcomes with a self-starter mindset , ensuring pace, quality, and client satisfaction. About You Strong background in Machine Learning , Deep Learning , and Large Language Models Solid understanding of mathematics , statistics , and data modelling fundamentals. Proven consulting experience – able to engage clients, manage ambiguity, and deliver under pressure. Comfortable working in a digital-first, fast-moving environment . Must hold SC More ❯

support the use of new data techniques, best practices, and tools standardized by the Data Center of Excellence you’d need to succeed: Background (6-8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field In-depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity More ❯

support the use of new data techniques, best practices, and tools standardized by the Data Center of Excellence you’d need to succeed: Background (6-8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field In-depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity More ❯

you... Educated to undergraduate level with a preference for top-tier universities. Keen to see candidates with a degree in Risk Management, Risk Management and Insurance, Business Administration, Economics, Statistics, Engineering, Law, or other related fields Desirable to have a relevant MSc or MBA. Ideal candidates will have at least 5 years’ experience in professional services/consulting firm/ More ❯

systems. Translate emerging research into practical, deployable prototypes. What we’re looking for: Strong Python skills, with experience in PyTorch, TensorFlow, scikit-learn, and LLM frameworks Solid grounding in statistics, probability, and machine learning fundamentals. Experience with cloud (AWS/GCP/Azure), Docker, and API development What our client offers: Up to £75,000 salary Hybrid working in London More ❯

systems. Translate emerging research into practical, deployable prototypes. What we’re looking for: Strong Python skills, with experience in PyTorch, TensorFlow, scikit-learn, and LLM frameworks Solid grounding in statistics, probability, and machine learning fundamentals. Experience with cloud (AWS/GCP/Azure), Docker, and API development What our client offers: Up to £75,000 salary Hybrid working in London More ❯

driven systems in production environments. Requirements 6+ years of professional software development experience, ideally in a quantitative or trading environment. Strong Python programming skills and a solid foundation in statistics and machine learning. Proven experience delivering production-grade AI/ML applications, including LLMs and anomaly detection models. Familiarity with cloud infrastructure (AWS preferred), container orchestration (Kubernetes), and workflow tools More ❯

driven systems in production environments. Requirements 6+ years of professional software development experience, ideally in a quantitative or trading environment. Strong Python programming skills and a solid foundation in statistics and machine learning. Proven experience delivering production-grade AI/ML applications, including LLMs and anomaly detection models. Familiarity with cloud infrastructure (AWS preferred), container orchestration (Kubernetes), and workflow tools More ❯

Clear and elegant writing style • Logical reasoning and ability to explain complex ideas simply • Curiosity, precision and a high personal standard for accuracy • A background in psychology, neuroscience, biology, statistics or a related research heavy field You do not need to have experience in beauty or cosmetics. You simply need to be exceptional at thinking, learning and communicating. What this More ❯

Clear and elegant writing style • Logical reasoning and ability to explain complex ideas simply • Curiosity, precision and a high personal standard for accuracy • A background in psychology, neuroscience, biology, statistics or a related research heavy field You do not need to have experience in beauty or cosmetics. You simply need to be exceptional at thinking, learning and communicating. What this More ❯

email marketing, social media, and META. Proven ability to optimise marketing, fundraising, and conversion strategies through comprehensive performance analysis. Highly proficient in statistical analysis techniques, including: Descriptive and comparative statistics A/B testing Data modelling to identify trends and support performance improvement Advanced knowledge of digital performance tools and frameworks, including: Google Analytics 4 (funnel analysis, segmentation, e-commerce More ❯

email marketing, social media, and META. Proven ability to optimise marketing, fundraising, and conversion strategies through comprehensive performance analysis. Highly proficient in statistical analysis techniques, including: Descriptive and comparative statistics A/B testing Data modelling to identify trends and support performance improvement Advanced knowledge of digital performance tools and frameworks, including: Google Analytics 4 (funnel analysis, segmentation, e-commerce More ❯

second. The company is made up of some of the very best software developers and mathematicians. Each brings their unique perspective from their backgrounds in computer science, physics, mathematics, statistics and engineering. Essential Skills 6+ years commercial experience in software engineering. Demonstrable experience building high-quality and scalable digital products and features. Strong project management and communication skills with the More ❯

substantial experience in MuleSoft integration development (often 5+ years), but we welcome applicants with a range of backgrounds and relevant skills. Degree in a relevant field (e.g. Computer Science, Statistics) or equivalent practical experience. Eligible for SC clearance (requires 5 years’ residency in the UK; citizenship is not mandatory). Able to adapt to changing priorities and client needs. More ❯

substantial experience in MuleSoft integration development (often 5+ years), but we welcome applicants with a range of backgrounds and relevant skills. Degree in a relevant field (e.g. Computer Science, Statistics) or equivalent practical experience. Eligible for SC clearance (requires 5 years’ residency in the UK; citizenship is not mandatory). Able to adapt to changing priorities and client needs. More ❯

end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural More ❯

end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural More ❯