26 to 50 of 101 Statistics Jobs in London

processes are ready. During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++ ...

. Skills 5+ years of experience working in markets science or data analytics teams or other relevant roles. B.Sc in a quantitative Economics, Statistics, Mathematics, Data Science). SQL: Advanced level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems. Experience with Marketing Mix Models ...

technical and non-technical audiences Mentor junior data scientists and help shape AI best practice Requirements Strong experience in AI, machine learning and statistics Python expertise (e.g. pandas, NumPy, scikit-learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly ...

build automated BI solutions. Communication: Ability to translate complex statistical models into plain language for non-technical senior stakeholders. Academic Background: Degree in Statistics, Mathematics, or Data Science (or equivalent proven analytical experience). Job Offer Competitive salary between £38,000 and £46,000 per annum. Good benefits package ...

Experience working with marketing and performance data Understanding of paid media metrics and optimisation principles Experience analysing customer behaviour and segmentation Degree in mathematics, statistics, or a closely related quantitative discipline Comfortable working in fast-paced, marketing agency Strong communication skills, with the ability to explain insights clearly WHY APPLY ...

Deep experience working with survey data, including cleaning, merging, weighting, and wrangling Experience working with large or publicly available datasets (e.g. census or national statistics) Strong proficiency in R or Python for data analysis and visualisation Nice to Have Experience using both frequentist and Bayesian approaches Understanding of the full ...

assessed during the recruitment process. Person specification Essential qualifications: Hold a degree or equivalent qualification in a subject containing formal mathematical training (e.g. Statistics, Mathematics, Economics, Sciences, Business Studies etc). You will be required to provide evidence that you hold any essential qualifications at some point during the recruitment ...

. Skills 5+ years of experience working in markets science or data analytics teams or other relevant roles. B.Sc in a quantitative Economics, Statistics, Mathematics, Data Science). SQL: Advanced level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems. Experience with Marketing Mix Models ...

users. Converting structured, unstructured, and semi-structured data into actionable insights for a business. Educational Criteria : Bachelor's degree in computer science, Maths, IT, statistics or physics related field. You should be entitled to work in the UK with legal work authorization status. Must be willing to travel within ...

guide junior team members, fostering professional development and collaboration across regional finance teams. What we are looking for Bachelors degree in Economics, Finance, Statistics, Marketing, or a related field (Masters degree preferred) Multiple years of experience in corporate, advisory, or structured debt financing roles, ideally within data centers, digital infrastructure ...

business; Ideally a previous experience (internship) in data science, insurance or climate modelling. SKILLS Keen interest in climate related topics; Highly skilled in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required; Proficiency in Python ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...