26 to 50 of 67 Permanent Statistical Modelling Jobs in London

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 »

Responsibilities include: · Interacting with and influencing business and finance customers to gather, calculate and present data. · Supporting with input forecasting using trend analysis and statistical modeling to drive decision making. · Be responsible for the Production Planning as well as cost and service optimization · Building short/medium and long 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 intellectually curious mindset and ambition to add value 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 »

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 »

at ease with working with databases, ability to highlight trends and use complex data to support decisionsBeing proficient in Excel and VBA; SQL, python, statistical modelling, other programming would be an advantageYou are a true and kind team player, quick learner, and able to work with short deadlines more »

on the broad spectrum of customer analytics, and we have 30 million known customers to play with… In CVU we do our most complex modelling, forecasting, tool building, and insights-generation and we use agile working methodologies to make sure we’re prioritising the right outcomes.This Analytics Manager role … of efficiency and best practice in how code should be written - and an ability to install this in the wider team.Excellent analytical skills and statistical understanding including predictive modelling, clustering, time series analysis and experience of applying these for decision makingHigh level understanding of data architecture/governanceExperience more »

the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics. Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis. Collaboration and Influence … Extensive experience in advanced analytics and data science, preferably in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points for more »

My client is committed to sizable increases on any base salary alongside market-leading bonuses. Key Responsibilities will include: · Develop and maintain the risk modelling, pricing, and analytics suite to enable effective decision making by Risk, Portfolio Managers, and the Investment Committee · Assist Risk Managers to identify, evaluate and … other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of others more »

ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product more »

to build new capabilities.Job requirements:Experience in pricing optimisation and demand forecasting.Analytical skills to transform complex data into actionable insights aligned with business KPIs.Strong statistical and modelling skills, including time series and ensemble models.Experience in manipulating and interpreting data from disparate sources.Proficient in Python coding and core data 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 »

large cap credit books and is a leader in the space. The team are seeking someone with between six and nine years of quantitative modelling and statistical analysis within the Credit space. Perhaps an individual in retail banking or an individual with co-mingled banking and fund experience … critical in decision making both from a due diligence perspective ahead of investment decisions and post acquisition of credit portfolios. Dissecting the portfolios through statistical analysis to assess revenue streams, risk identification, adjusting payment structures within the portfolio blocks and ongoing regular monitoring of that performance to pre determined … or leading financial institution A strong experience working both on analysis but also execution of credit loans deals/lending within your institution Advanced statistical modelling skills that can achieve optimisation, multi dimensional regression along with having data set modelling skills for ongoing valuation and performance Portfolio 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 »

proven track record of successfully shipping applied research to productionExcellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scaleStrong people leadership skills to influence others, with the ability to understand team dynamics 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 »

Designer, Alteryx Server, Tableau Desktop, and Tableau Server. Strong background in ETL processes, database management, APIs, SQL, and preferably Snowflake. Advanced analytical skills, including statistical modelling and analysis. Experience working in sustainability and familiarity with the GHG Protocol and carbon accounting principles Line management experience Experience operating within 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 »

risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with proven more »

anomalies, and opportunities in financial markets. Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance … in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial more »

in data processing, alpha generation, and strategy implementation, contributing to profit generation across a range of trading strategies. Key Responsibilities: Conduct research using classical statistical methods and modern machine learning techniques to identify and develop new trading strategies. Analyze large datasets to uncover patterns and insights that can drive … or finance-related discipline is a strong bonus. Strong programming skills in languages such as Python, R, or C++. Experience with data analysis and statistical modeling. Familiarity with machine learning frameworks and techniques. Excellent problem-solving abilities and attention to detail. Ability to work both independently and collaboratively in more »

marketing performance of our client’s business more strategically. Efficiently query and analyse data across multiple SQL databases. Initiate impactful analytics projects, generate actionable statistical insights and translate them into business recommendations. Collaborate closely with the clients and wider team of strategists, account managers, and other specialists. Support and … while collaborating closely with the clients and wider team. Query and manipulate data from a variety of sources, and explore the data with rigorous statistical methods (including building models where needed). Conduct regular reporting, automate processes and create reproducible code and documentation. Support the business in implementing solutions … Skills . Query, manipulate and join data from databases with reproducible code (e.g. SQL, Python, R, etc) Conduct rigorous exploratory data analysis with appropriate statistical methods in code (e.g. Python or R) – knowledge of linear models is a bonus. Listen to clients deeply to understand the business problem first more »

Science function. We don’t need someone to have already worked within the Private Equity space, but a clear interest in Investing and strong statistical background (which has been utilised in a commercial setting for a few years) are necessary. Responsibilities Develop and deploy innovative ML & statistical models … conduct wider research into market impact. Requirements Several years working in a commercial setting as a Data Scientist. MSc/PhD in a highly statistical subject area. Production level Python coding skills. End to End Data Science experience is preferable, ideally including algorithmic deployment on the Azure cloud stack … serverless). Strong communication skills Time Series knowledge is a big advantage Previous Private Equity, Investment, or Financial Modelling experience is a bonus. If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include more »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »

Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London - Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency in statistical analysis … role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models to tackle real-world issues and refine them as necessary. Utilise Python (and SQL … to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and modelling at a professional level. Proven track record of collaborating within cross-functional product more »