13 of 13 Statistics Jobs in the City of London

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 ...

analytics solutions rather than reporting alone Strong stakeholder management and communication skills Experience explaining insights to non-technical audiences Understanding of statistics, predictive analytics or modelling techniques Python experience would be highly beneficial Experience working within complex operational environments would be advantageous A pragmatic approach with the ability to work ...

complex findings into clear explanations for business stakeholders Your Skills and Experience Strong academic background with a Master’s or PhD in Economics, Econometrics, Statistics or a similar field Solid understanding of causal inference, experimentation and statistical reasoning Experience in research led or analytical environments such as behavioural insights, strategy ...

segmentation Take data governance and ethical AI seriously, not as an afterthought Strong candidates will come from a background in data science or applied statistics, with hands-on ML experience and the Python/SQL depth to match. Experience with Azure tooling is useful; the ability to think clearly about ...

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 ...

them on deliverable quality and accuracy. What experience you need: Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering). Solid experience in data analysis, machine learning, and AI development in a UK Credit Risk environment. Hands‐on experience with cloud‐based … Passion for data science, data mining, machine learning and experience with big data architectures and methods. A Master's degree in a quantitative field (Statistics, Mathematics, Economics). #J-18808-Ljbffr ...

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 ...

launch Partner with product and commercial teams to shape strategy Your Skills and Experience Strong experience in experimentation and causal inference Background in Economics, Statistics, or a related field Solid grounding in econometrics and A B testing Experience with counterfactual analysis or simulation methods Proficiency in Python ...

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 ...

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 ...

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 ...

work within the multidisciplinary Clinical Evidence team, which is a mix of medical and technical personnel, on the following workstreams: Statistical analysis Perform descriptive statistics for value dossiers, papers, presentations, proposals, and marketing materials Calculate performance (e.g., AUC, sensitivity, specificity) and clinical utility measures Handle study power and sample-size … excited to work in a healthcare setting and who has strong communication skills with both technical and clinical colleagues/collaborators. Knowledge of medical statistics : you have a grasp of statistical techniques and terminology, and are familiar with sensitivity/specificity, ROC and AUC analysis, power calculations, etc. Written ...