1 to 25 of 169 Statistics Jobs in London

integrity principles Some other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly More ❯

in production environments. Knowledge Transfer: Document processes and share insights to enable continuity post-contract. Skills & Experience Required Advanced degree (Master’s or PhD) in Data Science, Machine Learning, Statistics, Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python More ❯

in production environments. Knowledge Transfer: Document processes and share insights to enable continuity post-contract. Skills & Experience Required Advanced degree (Master’s or PhD) in Data Science, Machine Learning, Statistics, Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python 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 ❯

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 ❯

delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL More ❯

delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL More ❯

Shape and consult on broader data strategy and infrastructure. - Mentor and coach junior team members while staying ahead of emerging trends in AI and machine learning. Requirements - Degree in Statistics, Computer Science, or a related field. - 5+ years in data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/ More ❯

Shape and consult on broader data strategy and infrastructure. - Mentor and coach junior team members while staying ahead of emerging trends in AI and machine learning. Requirements - Degree in Statistics, Computer Science, or a related field. - 5+ years in data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/ More ❯

dashboards to communicate findings effectively Contribute to the automation and optimisation of analytical workflows What we’re looking for Master’s degree (or higher) Data Science, Computer Science, Mathematics, Statistics, Physics, or Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts More ❯

dashboards to communicate findings effectively Contribute to the automation and optimisation of analytical workflows What we’re looking for Master’s degree (or higher) Data Science, Computer Science, Mathematics, Statistics, Physics, or Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts 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 ❯

metrics. Demonstrated ability to drive strategic impact and influence at senior level. Experience scaling analytics capabilities through automation and self-service. Outstanding leadership, mentoring, and collaboration skills. Degree in Statistics, Mathematics, Data Science, Engineering, Economics, or a related field. A Masters or equivalent advanced degree is desirable. Nice to have Experience with applied AI, such as NLP, LLMs, or Agentic More ❯

metrics. Demonstrated ability to drive strategic impact and influence at senior level. Experience scaling analytics capabilities through automation and self-service. Outstanding leadership, mentoring, and collaboration skills. Degree in Statistics, Mathematics, Data Science, Engineering, Economics, or a related field. A Masters or equivalent advanced degree is desirable. Nice to have Experience with applied AI, such as NLP, LLMs, or Agentic More ❯

love to see: Appreciation of the wider data science technology landscape Curiosity and willingness to learn new techniques, programming languages and software tools Awareness of global trade, economics and statistics Working at Clarksons Research: Clarksons Research is the leading global provider of intelligence and research across shipping, trade, offshore and energy. Respected worldwide, the Clarksons Research team of over More ❯

love to see: Appreciation of the wider data science technology landscape Curiosity and willingness to learn new techniques, programming languages and software tools Awareness of global trade, economics and statistics Working at Clarksons Research: Clarksons Research is the leading global provider of intelligence and research across shipping, trade, offshore and energy. Respected worldwide, the Clarksons Research team of over 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 ❯

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 ❯

Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and non-technical stakeholders Lead More ❯

Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and non-technical stakeholders Lead More ❯

prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and More ❯

lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable scalable decision-making. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per More ❯

lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable scalable decision-making. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per More ❯