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 ...

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. ...

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 ...

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 ...

model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area. Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google ...

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 ...

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 ...

STEM major (mathematics, computer science, engineering) Excellent knowledge of data science (Python, SQL) and production tools A deep understanding of probability and statistics fundamentals Big-picture thinking to correctly diagnose problems and productionise research Excellent communication and collaboration skills to partner with Product Owners and business heads Nice to have ...

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 ...

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 ...

tools. The Candidate Key attributes of a suitable Data Scientist or Senior Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

tools. The Candidate Key attributes of a suitable Data Scientist or Senior Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

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 ...