226 to 250 of 463 Statistics Jobs in London

will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure More ❯

digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production or DCO campaigns Strong numeracy and analytical skills with a good grasp of statistics Experience in Microsoft Excel and PowerPoint for data analysis and storytelling Interest in digital marketing and creative performance We Are Aspire Ltd are a Disability Confident Commited employer More ❯

will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure More ❯

will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure More ❯

will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure More ❯

for Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field. Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while working More ❯

for Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field. Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while working More ❯

learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

for Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field. Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while working More ❯

for Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field. Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while working More ❯

are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. More ❯

are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. More ❯

learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. More ❯

sophisticated pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data More ❯

are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. More ❯

data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in More ❯

data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in More ❯

staff sponsored by their employers, and will range in experience/level (groups will be slit accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday More ❯

staff sponsored by their employers, and will range in experience/level (groups will be slit accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday More ❯

is also beneficial). Excellent communication and stakeholder management skills. Experience working in a UK banking or financial services environment. Degree in a numerate or analytical subject (e.g. Maths, Statistics, Economics, Engineering). THE BENEFITS Salary up to £75,000. Remote-first policy (team gathers occasionally throughout the quarter). 25+ days holiday and excellent additional leave options. Strong focus More ❯

trading Experience with linux-based, concurrent, high-throughput, low-latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience More ❯

segmentations and root cause analyses. Deliver optimal customer intelligence data products/providing powerful insights that empower data-driven decision-making. Experience conducting A/B experiment and leveraging statistics to deliver results Experience working in a fast-paced environment to deliver high-quality analysis Actively mentor and coach junior data analysts, fostering a culture of innovation, best practices, and More ❯

stakeholders and translating research into practical solutions for predictive analytics. Experience in solution design, architecting and outlining data analytics pipelines and flows. Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience. Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe. The perks A flexible environment More ❯

modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. - Experience with large scale distributed systems such as Hadoop, Spark, etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting research in a corporate setting - Experience in patents or publications at top-tier peer-reviewed conferences or journals. More ❯