1 to 25 of 63 Permanent Statistical Modelling Jobs in London

informed choice making to improve the performance of the business Proactively working with business executives and various departmental heads to provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is … not be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such … or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and statistical modelling that positively impact business performance Practical experience of building and implementing machine learning models to solve business problems Able to disseminate business more »

informed choice making to improve the performance of the business Proactively working with business executives and various departmental heads to provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is … not be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such … or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and statistical modelling that positively impact business performance Practical experience of building and implementing machine learning models to solve business problems Able to disseminate business more »

a key role in planning and delivering models and analysis that underpin the prices that go to market. You will need to understand both statistical modelling methods and machine learning techniques. Skills & experience needed: Solid knowledge of relevant statistical modelling methods – in particular GLMs Knowledge of more »

will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of geospatial machine learning more »

about you • 7+ years of experience in data science with at least 2 as a people manager • Strong experience in Python • Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics. • Highly structured and organized with the ability to plan work to maximize the team's productivity and more »

of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate flexibility … agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and more »

Sector delivering Data Centric solutions for some of the most energy-intensive businesses globally. Looking for someone with strong experience of data analysis, data modelling, data visualisation, reporting, and creating algorithms. The successful hire will be contributing to a highly complex and data centric platform build, generating insights and … making and improve overall business performance. Required technical skills: Proven experience as a Data Scientist or similar role. Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Proficiency in data science toolkits and programming languages such as Python, R, SQL, and SAS. Previous project experience more »

Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. in SQL. Ability to write more »

cognizant. Proficient with Data concepts and handling variety of datasets, good with hypothesis formulation, data preparation and model building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees more »

to improve customer engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in more »

innovative models, as well as enhancing existing ones. Implement and enhance existing data pipelines required by our various models/workflows. Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books. Devise solutions for systematic book more »

on behavioural, transactional, and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft … working with CRM systems. Prior experience in the fashion industry or luxury retail sector is a plus. Inquisitive and curious with a passion for statistical modelling. Details 12-month FTC Start date: ASAP Hybrid working - 3 days in central London office Salary more »

working on Motor or Home insurance products. As a Senior Pricing Analyst in the Pricing R&D Motor or Home Team, you will use statistical modelling, machine learning techniques and insurance market knowledge to develop and implement price optimisation across our Motor and Home insurance product range. You … your career! Knowledge , Skills & experience required: years’ experience in Pricing Optimisation in the Financial/Regulated industry (ideally Insurance). knowledge and experience using statistical methods, predictive models, and machine learning techniques to achieve business objects. This should include GLMs (Generalised Liner Models) and tree-based GBMs (Gradient Boosting more »

BettingJobs.com are currently recruiting US Sports Data Scientist based in London for a leading sports betting forecasting company. Responsibilities: Create statistical and machine learning models for different US Sports predictions Integrate your brand new models into production in our odds engine and maintain it Implement innovative algorithms to allow more »

as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious mindset and ambition to add value more »

understanding of Market Risk domain including processes, methodology, market & reference data and governance & controls Ability to work with data, analyze complex information, and use statistical and mathematical models to assess risk Understanding of regulatory requirements and standards related to risk management is important, including Basel III, Dodd-Frank, and more »

Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »

tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets Prior experience in the investment management industry, with good knowledge more »

Strong numerical proficiency and a detail-oriented approach to problem-solving. Expertise in Excel & SQL, with a bonus for experience in Python, R, or statistical modeling tools. Why Join Us: Four-day work week with no reduction in salary. Flexible hours and the option to work remotely multiple days more »

or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience with C++ is a plus Ability to adapt more »

part of a high-performing and collaborative team. Responsibilities: Conduct in-depth research and analysis to develop and optimize quantitative trading strategies. Utilize advanced statistical and mathematical models to identify market patterns and trends. Collaborate with cross-functional teams to implement and monitor trading strategies. Work closely with technology more »

. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and very collegiate fund with a progressive and positive working culture more »

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

Development/Research experience is ideal Proficient programming skills (Ideally Python or Rust) Strong mathematical background Experience with data science, creating features and improving statistical models. BS or Masters in Computer Science, Engineering, or related quantitative discipline To discuss the role in confidence, please reach out to Rhys at more »

into execution quality. Responsibilities: Design, develop, and maintain TCA analytics and tools to assess and optimize trade execution performance across various asset classes. Implement statistical models and algorithms to analyze transaction costs, market impact, and liquidity dynamics. Collaborate with traders and quantitative researchers to identify areas for improvement in more »