101 to 125 of 157 Statistics Jobs in London

be involved with include, Full Body Inverse Kinematics, Motion Matching, Skeleton Retargeting, Data Pipeline and Compression, Events Editor, Real-Life Match Data 3D Viewer, Statistics and Generative AI. Collaborate with other disciplines, including animations, artists, QA, producers, and other engineering teams, on both development and future planning. Work closely with more »

to achieve revenue growth objectives with targeted customers and prospects. Key Requirements: Graduate degree in a quantitative/applied field with good academic credentials - Statistics, Mathematics, Physics, Operational Research, Engineering or Economics. 4+ years experience in similar Analytical/Consultant role - ideally using SAS (Base, Stat, Enterprise Miner), SQL and more »

s degree in Human-Computer Interaction, Psychology, Cognitive Science, Sociology or a related field is desirable, with further education also beneficial Strong understanding of statistics in data analysis to avoid statistical errors in quantitative methods Preferred Qualifications: Experience working in a startup, scaleup or highly innovative environment Familiarity with AI more »

C++ (at least C++17, ideally later) Deep-level understanding of financial markets (equities, derivatives, options, futures) is crucial Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory Knowledge of options and products traded by volatility traders, e.g. Equity Options, Index Options, Variance/Volatility Swap At least a bachelor more »

some exposure to logistics or supply chain management Excellent communication and collaboration abilities Demonstrated history of innovation in relevant fields PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field While we think the above experience could be important, we re keen to hear from people that believe they more »

working within high-performing technologyteams. Have at least two years of managementexperience. Have a degree (undergraduate or graduate) in a quantitative discipline such as statistics, physics, maths, economics, or computerscience. Optionally have served as founders or early employees of high-growthstartups. Apply Now Full Name Email Phone Number Website Upload more »

Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »

Product strategy through creating impactful tools for customers/members. Mentor junior engineering & data science hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying more »

models and work with relevant groups to address material deficiencies Qualifications What we re looking for: Degree, or equivalent, in a quantitative subject, mathematics, statistics or engineering Minimum 6 years of industry experience with a minimum of 4 years of experience in the commodities markets, particularly in energy (Oil, Power more »

data review and reporting tools. Provides programming support to the regulatory submissions including data submission package and define.xml development. Requirements: Bachelor s degree in Statistics, Mathematics, Computer Science or related discipline, advanced degree preferred. 10+ years (5+ years for advanced degree) experience in a pharmaceutical industry, CRO or another clinical more »

who have a deep understanding or experience in most of the following; Programming skills (python and java highly desirable) Solid theoretical background in Algebra, Statistics and Machine Learning Specific Natural language Processing knowledge including: Large language models training and fine-tuning RAG search pipelines. Working with Linux systems Service architectures more »

to champion the reputation of the department across Sky. What You ll Bring A numerate degree such as Computer Science, Economics, Econometrics, Maths or Statistics A passion for using advanced statistical techniques to convert observable data into actionable recommendations Self-motivation, an enthusiastic attitude, and the adaptability to work in … Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution) Desirable but not essential is experience of GCP/AWS and Bayesian Statistics Consumer Strategy We see the big picture across the Consumer Group; creating insight-led strategies which deliver great value for consumers and drive sustainable long more »

spans all clinical phases (Phase I to IV) Demonstrated auditing experience across all types of clinical audits (phase I, investigator sites, systems, data management, statistics, labs and CROs Broad understanding of international regulations and guidance documents, with a focus on FDA & EMA regulations Excellent interpersonal, verbal, and written communication skills more »

identifies high-performing staff and provides them with mentorship and opportunities for career growth Other duties as assigned Qualifications MS or PhD in Biostatistics, Statistics, or Epidemiology Typically has 12+years' experience with a PhD or 15+ years experience with a MS degree in a biostatistics environment Management experience including interfacing more »

deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and more »

Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical more »

best supporting MOPAC and ensuring evidence is at the centre of policy to make London safer. Read more about the team hereMOPAC data and statistics London City Hall . We are assembling a Data Science team at MOPAC and seeking talented individuals to fill multiple roles. This is an exciting … key role in developing the data science organisational capability within MOPAC. Expertise in data science techniques and capabilities (i.e., data mining, visualisation, predictive analysis, statistics, time series, large language models, geospatial analytics). Ensuring data science is a key aspect within MOPAC decision making in terms of oversight of the more »

the room for all things analytics and data science. Capabilities University degree or equivalent experience in a mathematical/scientific field, preferably with a statistics element. A Masters-level degree in a closely related field (statistics, data science, etc.) and/or professional experience in analytics and modelling. Extensive hands … the room for all things analytics and data science. Capabilities University degree or equivalent experience in a mathematical/scientific field, preferably with a statistics element. A Masters-level degree in a closely related field (statistics, data science, etc.) and/or professional experience in analytics and modelling. Extensive hands more »

to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity. Responsibilities Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; Develop dashboards and … initiatives; and Participate in training and development of more junior team members. Qualifications Master s degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred Advanced computer programming skills (preferred language: R); Analytical thinker with great attention to detail; Ability to prioritize multiple projects more »

are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS Bachelor s degree in Business, Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science, or related field or equivalent experience Robust data management skills, including the ability to be hands-on and dive … for large, cross-functional projects Has relentlessly high standards in your deliverables (eg. documents, codes, etc.) PREFERRED QUALIFICATIONS Master s degree in Business, Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science, or related field or equivalent experience Hands-on experience of scaling products and/or teams from grounds up more »

clients and their position in the industry Eager to expand the company with new sales, clients, and territories Able to analyze data and sales statistics and translate results into better solutions 4-5 years previous work experience in sales, management, key account management, or relevant experience Proven results of delivering more »

the Laudrup room, or Save some Docker containers in the Schimichael lounge (the founders are Danish). The company are changing the way football statistics are collated and using the information to sell to media outlets and football clubs. The difference is rather than just numbers (ie Inestia completed more »

delivery teams Serve as a line manager for junior staff members Qualifications, experience, technical and personal skills Essential qualifications Master s degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or a related discipline PhD in a subject related to health services research or statistics is desirable Essential … decision support packages desirable), ability to provide evidence of this applied in a business or academic setting Strong quantitative skills and experience with Bayesian statistics, generalized linear models, feasibility assessments, direct and indirect treatment comparisons, population-adjustment (MAIC, STC, ML-NMR), surrogate endpoint evaluation, structured expert elicitation, survival analyses Excellent more »

contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time more »

methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional data. Ability to extract, clean, and combine data from a variety of more »