51 to 75 of 172 Statistical Modelling Jobs in London

years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical … related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create … marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked on projects such as: Customer Lifetime Value (CLV) modelling. Propensity modelling and lead scoring. Budget allocation and bidding optimisation. Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM). Advanced More ❯

standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical … related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create … marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked on projects such as: Customer Lifetime Value (CLV) modelling. Propensity modelling and lead scoring. Budget allocation and bidding optimisation. Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM). Advanced More ❯

marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA , R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the commodity trading industry More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯

implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that More ❯

implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that More ❯

business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis … in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale data projects and implementing BI solutions. Excellent communication skills with the ability to More ❯

coding skills such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a More ❯

one or more of these areas: Computational social science Machine learning (research engineer/research scientist) Data Science, especially including Natural Language Processing Advanced statistical modelling and experimental design. Required Skills and Experience We select based on skills and experience regarding the following areas: Writing production quality code More ❯

computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and … PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). More ❯

provision. You will work closely with key business stakeholders to identify opportunities to drive value from data and lead the development of advanced analytics & modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify behaviour … with data protection law and that we are upholding our values and ethics in how we use data. Nature of the Role: Data Analysis & modelling Clean, preprocess, and validate behaviour and health data to ensure accuracy and reliability of analyses. Produce and present insightful analysis from multiple large data … T-SQL, SSIS, SSRS, Power BI). Experience At least five years' experience of working as a Behavioural Scientist or equivalent role, in applying statistical models and machine learning algorithms to behaviour and health-related data sets. Experience and ability to respond to business needs by identifying appropriate statistical More ❯

the organizations systems and processes. The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical/non-data teams as our success comes … GCP • Experience with Terraform • Strong Python skills • Experience with version control for data models (e.g., dbt testing frameworks, data documentation) • Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) • Experience writing efficient and optimised SQL for large-scale data transformations • Understanding of data warehouse design principles and … working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights • Knowledge of data governance More ❯

and deliverables, anticipate risks, and resolve issues. Create dashboards to monitor operational metrics and KPIs. Support global FinOps teams with reporting, ad hoc analysis, statistical inference, and predictive modeling. Analyze data trends and operational statistics to provide meaningful insights. Interpret data and relate findings to business and operational contexts. More ❯

Tableau/Power BI. Leading by example and rolling up sleeves to get things done. Deep conceptual and technical understanding of Credit Risk, Analytics, Statistical Model deployment and use demonstrated prior analytical/first-line risk experience in the Card industry. Deep conceptual and commercial understanding of New Business More ❯

game theoretic concepts. Level 3 (PhD Level): Expert-level understanding of advanced mathematical concepts, including theorem proving, complex analysis, abstract algebra, topology, and advanced statistical modeling techniques. Experience with research and the ability to explain complex mathematical concepts clearly. For all levels: Excellent problem-solving skills and analytical thinking More ❯

game theoretic concepts. Level 3 (PhD Level): Expert-level understanding of advanced mathematical concepts, including theorem proving, complex analysis, abstract algebra, topology, and advanced statistical modeling techniques. Experience with research and the ability to explain complex mathematical concepts clearly. For all levels: Excellent problem-solving skills and analytical thinking More ❯

You'll work cross-functionally with marketing and brand teams to deliver strategic insights that drive value and support trade and brand targets. From statistical modelling to process optimisation, you’ll be a go-to expert for uncovering opportunities and delivering business impact. Key responsibilities include: Leading and … with strong technical and leadership credentials Proficiency in tools such as Python , SQL , and/or R Proven experience delivering advanced analytical projects and modelling techniques Ability to turn complex insights into compelling stories that influence non-technical stakeholders Strong project management skills, from scoping through to delivery A More ❯

You'll work cross-functionally with marketing and brand teams to deliver strategic insights that drive value and support trade and brand targets. From statistical modelling to process optimisation, you’ll be a go-to expert for uncovering opportunities and delivering business impact. Key responsibilities include: Leading and … with strong technical and leadership credentials Proficiency in tools such as Python , SQL , and/or R Proven experience delivering advanced analytical projects and modelling techniques Ability to turn complex insights into compelling stories that influence non-technical stakeholders Strong project management skills, from scoping through to delivery A More ❯

architecture. Own entire data ecosystem and be the SME for all the different datasets, existing dashboards and cross functional solutions/applications. Work on statistical modelling techniques for various analysis using state of the art GenAI methods (LLMs) Metric generation/standardization and logic building Cross functional collaboration More ❯

a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether that's deep learning, statistical modelling, or classical ML methods. Your toolkit includes Python, SQL, and you're comfortable working in a cloud-first (AWS) ecosystem. Experience with More ❯

of experience as a data scientist. Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. Strong statistical and modeling skills. Strong communication and collaboration skills. Experience in the energy industry is a plus. Benefits: Competitive salary and a stock options sign More ❯