201 to 225 of 742 Statistical Modelling Jobs in the UK

in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong More ❯

and presenting findings to stakeholders. We value self-motivated individuals who enjoy working on small teams in a dynamic and fast-changing environment. Qualifications Experience integrating advanced mathematics and statistical models into business applications Strong capabilities to visualize and analyze data as well as ability communicate your results to both technical and non-technical audiences Demonstrated background in problem More ❯

Java). First author in research publications in peer-reviewed conferences or journals. PREFERRED QUALIFICATIONS Experience designing and leading complex research projects from ideation to implementation. Deep understanding of statistical modeling, optimization, and algorithm development. Excellent communication skills, with the ability to convey complex technical information to diverse audiences. Amazon is committed to a diverse and inclusive workplace. Amazon More ❯

data begins with you—we need your expertise to help power the next generation of AI. We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering More ❯

The role involves developing and 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 drive trading decisions in cash More ❯

gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem-Solving Skills: Excellent analytical and problem-solving abilities. Communication Skills: Strong ability to communicate More ❯

with optimization tools and frameworks (Pyomo, GAMS, Gurobi, etc.). Experience with discrete-event based simulation. Developing and/or applying data modeling and machine learning methodologies. Experience with statistical and mathematical modeling environments (R, Python, MATLAB, etc.). Experience with programming languages such as Python, Java, C#, C++. A working knowledge of systems, software packages, and languages is More ❯

scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) - Fluency in a modeling language such as Python or R - Experience with one or more of the statistical modeling languages/toolboxes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment More ❯

across all areas of the firm. SKILLS AND RELEVANT EXPERIENCE Preferred Master's Degree in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering. Deep knowledge in statistical modeling, such as regression, time series analysis, machine learning etc. Strong programming skills and experience with languages, such as C++, Python, R, Matlab. Familiar with options and derivatives pricing More ❯

meet tight deadlines. Background in interpret coding multiple forms of data and creating honest and compelling stories about the progress and impact of investments. Experienced in analytical programming and statistical modeling. Dedicated to challenging the status quo in school quality data analytics. Proficiency in SQL and Excel; knowledge of Python, Stata, R, PowerShell, AWS, Linux, HTML. Familiarity with K More ❯

meet tight deadlines. Background in interpret coding multiple forms of data and creating honest and compelling stories about the progress and impact of investments. Experienced in analytical programming and statistical modeling. Dedicated to challenging the status quo in school quality data analytics. Proficiency in SQL and Excel; knowledge of Python, Stata, R, PowerShell, AWS, Linux, HTML. Familiarity with K More ❯

term extension – project roadmap spans 3–4 years) Start Date: ASAP We are partnering with a global FMCG brand who are searching for an experienced Econometrician/Marketing Mix Modelling (MMM) Specialist to join their London-based team. This is a hybrid role offering long-term growth potential and the opportunity to work on a major MMM initiative spanning … multiple markets and business units. As an Econometrician, you will lead key modelling and data activities that drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models … MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or More ❯

term extension – project roadmap spans 3–4 years) Start Date: ASAP We are partnering with a global FMCG brand who are searching for an experienced Econometrician/Marketing Mix Modelling (MMM) Specialist to join their London-based team. This is a hybrid role offering long-term growth potential and the opportunity to work on a major MMM initiative spanning … multiple markets and business units. As an Econometrician, you will lead key modelling and data activities that drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models … MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or More ❯

This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or … Responsibilities Analyse customer behaviour across the platform to support commercial growth and marketing optimisation. Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and senior stakeholders to translate insight into business action. … both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced analytical modelling. Hands-on experience using Python for statistical analysis and modelling. Advanced SQL skills for data extraction and manipulation. Experience applying statistical methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract, manipulate, and analyze datasets to prepare for modelling … models for accuracy, suggest and test improvements. Required Skills & Experience: Proven experience with MMM development and implementation. Strong Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical More ❯

The Cloud and Data Engineering team is looking for data science engineers who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed … data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape our data … scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.). Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity. A track record of building relationships with More ❯

Role Summary Aubay UK is seeking an experienced Quantitative Analyst/Researcher to join our team. The ideal candidate will bring extensive expertise in energy commodities trading and quantitative modelling, paired with an advanced academic background in a quantitative discipline. This role involves contributing to cutting-edge projects, pricing complex option structures, and building robust models to drive analytical … regarding travel requirements will be discussed during the interview process. Required Skills and Experience Previous work experience working as a quant in an energy commodity trading organisation Experience in modelling spot/forward price processes, building Monte Carlo simulation tools, multifactor models, gas storage models, and commodity option pricing (spread and exotic), modelling stochastic volatility and correlation in … C#, or C++ Desired Skills and Experience Proficiency in programming (Python, C++, etc.) and data analysis tools Strong understanding of financial markets, trading strategies, and risk management Experience with statistical modelling, machine learning, and algorithm development Ability to work with large datasets and perform complex quantitative analysis Excellent communication and teamwork skills Education: PhD or MS (PhD ) in More ❯

min 2 days a week + onsite at London Bankside Key Responsibilities Participate in creating, evolving, and developing data science models for Marketing and Consumer Insights teams (Marketing Mix Modelling, Attribution Models, Personalisation, Digital and non-Digital marketing measurement etc) Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science powered solutions … promotions and pricing to key stakeholders and specifically for joint business operations Drive marketing automation, e.g. audience targeting and profiling, content production, digital marketing campaigns optimization... Conceive and implement statistical models and Multi-Variate Tests to measure the impact of business decisions and market disruptions to surface empirical insights Teamwork Contribute to a highly collaborative team with a culture … responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. At least 2-5 years of industry experience with developing machine learning models and creating software pipelines to build and make predictions with those models Strong More ❯

with cross-functional teams (e.g., Marketing, Operations, Finance) to understand business needs and provide data-driven recommendations. Identify key performance metrics (KPIs) and monitor performance against business goals. Use statistical methods and data modelling techniques to analyse trends and forecasts. Automate repetitive data processes to improve efficiency and accuracy. Present findings and insights clearly to both technical and … Required Skills and Experience Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and Excel. Strong SQL skills for querying and analysing data from relational databases. Experience with statistical analysis tools (e.g., Python, R, SPSS) is a plus. Solid understanding of data structures, data cleaning, and transformation techniques. Exceptional problem-solving skills and attention to detail. Ability to More ❯

collaborating with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret results … and budget optimization. Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills … Ability to explain complex concepts to non-technical stakeholders. Business Acumen: Ability to translate data insights into actionable strategies. Additional Skills: Experience with Marketing Mix Modelling (MMM) and campaign optimization techniques. If this sounds like the role for you, please apply through our retained recruiters, Datatech Analytics . More ❯

rates Analyse net loss ratio and implement changes to achieve target position. Perform detailed analysis of sales data and customer demographics to identify trends and opportunities for improvement Use statistical and machine learning techniques to refine pricing models and ensure alignment with market conditions Prepare regular reports and presentations for senior management, highlighting performance trends and recommending pricing adjustments … data analysis tools such as SAS, SQL, Python, R etc... Proficient in pricing software (e.g. Earnix, Akur8, Emblem, Radar etc...) and rating engines is a strong advantage Understanding of statistical modelling techniques Strong analytical mindset with the ability to interpret complex data and make data-driven decisions Excellent attention to detail and the ability to identify trends and More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role More ❯

related field - Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - In depth understanding of advanced statistical techniques and methodologies as well as simple linear regression analysis, multivariate regression analysis and model building - Advanced in SQL with the ability to write complex queries from scratch from … multiple tables - Fluency with Python (or R) – ability to run advanced statistical modelling PREFERRED QUALIFICATIONS - Consulting experience with a major consulting firm or advertising experience with a top advertiser (agency or client side) - Experience with advertising publishers and marketing/creative agencies - MBA, Master’s or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media More ❯

London. Purpose of the role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and … risk management across various financial products and markets. Working closely with sales teams to identify clients' needs and develop customised solutions. In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics. Provide front office infrastructure support through ownership and maintenance of analytical libraries. Provision of expertise on quantitative methodologies, technological More ❯

Creating technical reports Teaching colleagues Developing educational materials Maintaining your knowledge through training Performing other duties as required The Person Knowledge, Skills and Experience Proven experience in areas like Statistical Modelling, AI, Machine Learning, Data Analytics, Data Engineering, or Data Visualization Experience in cleaning, processing, and modelling data with R or Python Experience analyzing datasets to address More ❯