24 of 24 Statistics Jobs in the City of London

roles. Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data). Experience applying intermediate statistics to business problems. Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis. Experience with data visualization tools such as Tableau ...

roles. Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data). Experience applying intermediate statistics to business problems. Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis. Experience with data visualization tools such as Tableau ...

solving complex, real-world problems using data science and analytics Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics Deep understanding of machine learning methods and their practical applicati on.Experience delivering multiple end-to-end data science projects across varied data types and business ...

data analysis team. Assist with calculating business performance and provide training to colleagues. Requirements: Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, Marketing, or a related field. Strong interest in data analysis, market research, business intelligence, and data-driven decision-making. ...

experience in a quantitative analytics, quantitative research, or derivatives-focused role. MSc, PhD, or equivalent degree in a quantitative discipline such as Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related field. Strong understanding of derivatives markets, including futures and options pricing, volatility surface construction, Greeks, and curve modelling ...

skills able to explain technical concepts to varied audiences Qualifications Bachelor's degree (Master's or PhD preferred) in Computer Science, AI, Data Science, Statistics, Engineering or a related technical field Advanced certifications in AI, machine learning, cloud computing or data engineering highly advantageous Professional accounting qualification desirable ...

your career within an AI-led organisation. What They’re Looking For Degree in a quantitative or technical field (e.g. Computer Science, AI, Mathematics, Statistics, Physics, Engineering) Strong Python skills with experience building machine learning models and scalable algorithms Proven experience working with large, complex datasets to optimise performance ...

engineering, testing, and documentation Work with large datasets and implement efficient numerical methods Required Qualifications PhD in a quantitative discipline , such as: Mathematics Physics Statistics Financial Engineering Computer Science Strong academic background with focus on applied mathematics or computational methods Essential Experience Proven experience working within investment banking or financial ...

engineering, testing, and documentation Work with large datasets and implement efficient numerical methods 🧠 Required Qualifications PhD in a quantitative discipline , such as: Mathematics Physics Statistics Financial Engineering Computer Science Strong academic background with focus on applied mathematics or computational methods 💼 Essential Experience Proven experience working within investment banking or financial ...

Linux environments; familiarity with modern deep-learning frameworks (PyTorch, TensorFlow); proficient with version control, containerisation and reproducible-research practices. Strong applied knowledge of statistics, validation methodology (analytical, clinical, technical), and study design. Excellent written and verbal communication; able to translate between scientific, regulatory and commercial audiences. Single-point accountability mindset ...

Linux environments; familiarity with modern deep-learning frameworks (PyTorch, TensorFlow); proficient with version control, containerisation and reproducible-research practices. Strong applied knowledge of statistics, validation methodology (analytical, clinical, technical), and study design. Excellent written and verbal communication; able to translate between scientific, regulatory and commercial audiences. Single-point accountability mindset ...

Required Skillset & Education 5+ years of research experience, including research design, data analysis & reporting Master’s degree or equivalent experience in research, data science, statistics, psychology, sociology, political science or other relevant fields Experience working driving to outcomes in highly cross-functional roles Solid understanding theories of consumer behavior Demonstrate ...

ability to drive change in a large, complex organisation. Requirements include: Educated to at least degree level in a numerate subject such as Mathematics, Statistics, Engineering, Physics, Chemistry, Machine Learning etc. Extensive experience leading teams of Data Scientists within consumer environments; retail experience is essential for this role. Deep expertise ...

ability to drive change in a large, complex organisation. Requirements include: Educated to at least degree level in a numerate subject such as Mathematics, Statistics, Engineering, Physics, Chemistry, Machine Learning etc. Extensive experience leading teams of Data Scientists within consumer environments; retail experience is essential for this role. Deep expertise ...

your work and translate complex ideas into simple insights. Strong Python skills, with the ability to write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used ...

data and processes are ready. During market – sporadically monitoring behaviour and performance of strategies. Qualifications Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills Programming proficiency with at least one major programming or scripting ...

NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience ...

Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into ...

challenge Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software ...

take models from development to production, ensuring they perform reliably on live customer data. What We're Looking For MS or higher in statistics or machine learning, or equivalent experience (3-5 years in the industry). Experience building and evaluating predictive models — you care about accuracy and know ...

take models from development to production, ensuring they perform reliably on live customer data. 🎯 What We're Looking For MS or higher in statistics or machine learning, or equivalent experience (3-5 years in the industry). Experience building and evaluating predictive models — you care about accuracy and know ...

accurately and are communicated transparently to your squad. Who you are Undergraduate qualifications in Business Systems, IT, Engineering, or a quantitative discipline (e.g., Mathematics, Statistics, Economics) preferred. 2 - 5 years of relevant work experience as a Product Owner or in product management. Experience working in a high-velocity product team. ...

Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working … broad knowledge of statistical/mathematical techniques Ideally possessing the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with ...

across the business, for which research is a key part of their business. Key Responsibilities: Manage a large and complex database of Soft commodity statistics ensuring that production data is up to date and accurate. With focus on exports, imports, trade flows, stocks, local prices/differentials and consumption trends. ...

long-term AI and discovery strategy across Elsevier platforms. Requirements: Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP, or a related quantitative field. Significant experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI. Significant experience leading … balance strategic leadership with pragmatic execution in rapidly evolving AI environments. Preferred qualifications PhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or related field. Experience leading search, ranking, recommendation, or AI evaluation organizations at scale. Experience building evaluation systems for LLM-powered applications and AI assistants. Familiarity ...