1 to 25 of 248 Statistics Jobs in London

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯

feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related fields, with at least 5 years in a More ❯

feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related fields, with at least 5 years in a More ❯

and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelors degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Masters degree or MBA preferred. 10+ years of experience in data management, analytics, or related fields, with at least 5 years in a leadership More ❯

and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelors degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Masters degree or MBA preferred. 10+ years of experience in data management, analytics, or related fields, with at least 5 years in a leadership More ❯

. Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI . Proven More ❯

. Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI . Proven More ❯

. Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI . Proven More ❯

. Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI . Proven More ❯

to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in More ❯

with CRM systems and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity More ❯

with CRM systems and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity More ❯

with CRM systems and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity More ❯

with CRM systems and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity More ❯

business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical excellence More ❯

business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical excellence More ❯

business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical excellence More ❯

business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical excellence More ❯

role in applying for grant funding for research as appropriate to discipline Skills Essential A PhD qualification or equivalent expertise/experience in a quantitative scientific discipline (eg mathematics, statistics, engineering, physics, computational biology, computer science or a relevant discipline). Knowledge Essential Knowledge of appropriate procedures for information governance, especially when using patient data Qualifications Essential Expertise building statistical More ❯

bachelors or masters program. We love folks with varied coursework, but you must possess an analytical mindset, passion for business, and a desire to innovate. Computer Science, Data Science, Statistics, Mathematics, Engineering majors, a plus. Experience with Python, SQL, and Excel; familiarity with machine learning libraries. A history of tackling projects with a quantitative lens, and a desire for data More ❯

do not need prior experience, but you should have a strong interest in data and a willingness to learn. You will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial More ❯

Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong More ❯