1 to 25 of 61 Statistics Jobs in the City of London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. How to Apply: Please register More ❯

and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business problems into analytical solutions using advanced modelling techniques. More ❯

and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business problems into analytical solutions using advanced modelling techniques. More ❯

and transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or More ❯

lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. 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 ❯

role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to More ❯

PowerBI, Tableau, or similar tools. Excellent project management and team leadership skills. Strong problem-solving, attention to detail, and client communication skills. Degree in Computer Science, Data Science, Mathematics, Statistics, or related field (Master’s preferred). Why Apply: Work on high-impact projects with leading organisations. Access to cutting-edge technologies and platforms. Opportunities for career growth and professional More ❯

providing guidance, feedback, and opportunities for growth. YOUR SKILLS: Extensive experience (5+ years) in analytical or data-focused roles. Strong academic background in a quantitative field such as Mathematics, Statistics, Engineering, or another STEM discipline. Advanced proficiency in SQL and Python for data extraction, analysis, and modelling. Proven experience applying forecasting and time series modelling techniques to business problems. Background More ❯

environment, we’d love to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern More ❯

extensive practical experience of using innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences would be desirable Please see attached Job Description and Person Specification for further details. About Us: Victim Support (VS) is More ❯

Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution 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 1–2 days onsite More ❯

applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization Proficiency More ❯

AI research, including LLMs and generative AI, and provide thought leadership across projects. Requirements for the Senior AI Engineer Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, Statistics or a related STEM field. 5+ years of practical AI or data science experience in industry or engineering. Proven track record delivering AI solutions from concept to deployment. Hands-on More ❯

adoption internally and contribute to a GenAI champions group. Own and improve deal origination processes and models . What we’re looking for Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field . Strong hands-on analytics experience , including working with millions of rows of data . 3+ years of demonstrable proficiency in SQL, Python, and Power BI More ❯