Job offers for Applied Statistics jobs in the United Kingdom

Reason, it is an imperative that the right candidate has a very strong mathematics background. This could be Applied or Pure, but as you'll be thrown into the deep end, you'll need to know your statistics to be the right person for us. Our current tech stack is a strong mix of Python and PHP, so we'd

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Mathematical Finance or Mathematics, Physics, Engineering. Experience in credit models and analysing data. A good understanding of econometrics and applied statistics is a strong plus. Understanding of model development including model design and implementation. Good Excel knowledge Experience managing the

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Can be applied to new and old problems. Based in London, you will join a friendly and collaborative team who provide the opportunity for a high degree of ownership, flexible working and a generous holiday package. Requirements *PhD level education in a quantitative field (Machine Learning, Deep

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20/04/2018 | Fulltime | 100000.00

Overview A leading global travel management company are looking for an experienced Data Science Engineer to join their established team in Paddington. Key Requirements & Qualifications PhD/MSc in Computer Science, Applied Math, Statistics or related areas. Proven experience in machine learning

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Consideration of new and emerging opportunities. Experience and Education - BSc or MSc in computer science, mathematics, statistics or quantitative methods (or equivalent years’ experience) - Strong interest in applied modelling, analytics and machine learning - Experience of working in a research or

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20/04/2018 | Fulltime

Predictive analytics/forecasting space and have solved real-world problems - You have familiarity with Python/R. - You are familiar with SQL and other data manipulation tools and packages. - You have solved various Kaggle problems and are one among the top performers. - PhD in Maths, Applied Math, Statistics

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Relationships with other senior IT and business leaders and stakeholders - Delivery of analytics using Agile methodology - Experience in demand management - Expertise in data management - Understanding of statistics and previous experience having applied statistical modelling - Understanding of data

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20/04/2018 | Fulltime |

Cultural environments and build effective working relations. - A good understanding of business insight and how to communicate analytical results. - Predictive analytics skills. - An interest in mobile games (desirable). - Strong analytical skills in applied statistics or econometrics and prior experience

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Top Job | Fulltime

Through build and change analytic solutions - models - dashboards - reports within the Data Science Operating Model. Skills - Graduated from a top-tier university in applied mathematics, Statistics, Machine learning, quantitative finance or related scientific area. - Deep understanding of the theoretical

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Techniques and machine learning models to build and improve real-time decision making. - A Masters Degree or Phd in a quantitative field such as Applied Mathematics, Computer Science, or Statistics. - An enthusiastic and positive personality with the ability to collaborate and work well with others. - A true

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19/04/2018 | Fulltime | 70000.00

Requirements - Graduated from a top-tier university in applied mathematics, Statistics, Machine learning, quantitative finance or related scientific area. - Deep understanding of the theoretical grounds of machine learning and of the corresponding mathematical framework. Strong statistical knowledge is an

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Years experience working on research related to political issues - Masters or PhD in macroeconomics or political science preferred - Excellent English language verbal and written communication skills; other language skills a plus - Strong quantitative skills and fluency in applied statistics - Deep

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Degree with Honors in Statistics (Master 2, ENSAI ISUP .) *At least 5 years' of experience in the field of statistics applied in medical research (pharmaceutical, CRO .) *Expertise in SAS *Strong MS Windows experience; Capture System of knowledge is a plus *Strong English language skills *Knowledge of

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Problem presented through applied analytics. The Senior Data Analyst demonstrates thorough statistical and/or digital technology knowledge and the ability to solve low to medium complexity problems. He or she demonstrates very good communication skills, being able to explain conclusions to customers with

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