26 to 36 of 36 Statistical Modelling Jobs in Central London

fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights … Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment … into actionable insights for coaches, analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for More ❯

Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team to build base models according to project specifications and ensure the robustness and … and previous experience with R programming and ideally with MMM models. Strong experience with Pymc is essential. Experience with Regression based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This is a 6 month contract position More ❯

in a subscription-based busine s s.Strong commercial acum en, with the ability to translate data insights into business strategie s.Advanced analytical and quantitative skil ls, with expertise in statistical analysis and predictive modelin g.Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studi o.Excellent stakeholder management skil ls … of data science and machine learning techniqu es applied to subscription-based businesses, including churn prediction and lifetime value modelin g.Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM ). Example proje cts The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the last 12 months More ❯

Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team to build base models according to project specifications and ensure the robustness and … and previous experience with R programming and ideally with MMM models. Strong experience with Pymc is essential. Experience with Regression based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This is a 6 month contract position More ❯

Introduction to team: As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group’s experimentation platform. Your work will ensure that every feature change on our website—from button colors to booking flows—is rigorously tested to maximize business impact. This role blends research … improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting-edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide. In … this role, you will: Lead the development and validation of advanced statistical methodologies to support Expedia Group’s experimentation platform, ensuring robust and reliable A/B testing across the website’s features and user experiences Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform’s capabilities More ❯

and work closely with data engineering and business stakeholders to ensure data is leveraged effectively to drive growth and operational performance. Lead forecasting and analytical projects: Develop and implement statistical and time series models (e.g., ARIMA, regression) to predict demand, usage, and operational trends. Support pricing and revenue initiatives: Use modelling and scenario analysis to assess price elasticity … field such as Mathematics, Statistics, Engineering, or another STEM discipline. Advanced proficiency in SQL and Python for data extraction, analysis, and modelling. Proven experience applying forecasting and time series modelling techniques to business problems. Background in pricing or optimisation, including dynamic pricing, revenue modelling, or scenario analysis. High-level data storytelling and visualisation skills, with the ability to … present complex findings in a clear and actionable way. Experience with experimentation methods (e.g., A/B testing, uplift modelling) is advantageous. Familiarity with energy demand analysis or load forecasting—including understanding of consumption trends and grid dynamics—is beneficial. Leadership experience, with a track record of mentoring or managing data analysts or junior team members. HOW TO APPLY More ❯

Scientist to play a key role in turning complex data into clear, actionable insights. You'll be responsible for the full data lifecycle - from collection and cleaning to analysis, modelling, and communication of findings - ensuring all work aligns with project objectives and timelines. This is a highly collaborative role, working closely with our existing team to deliver high-quality … pipelines for model-ready datasets in collaboration with data engineering teams. Apply feature engineering and selection techniques to improve model accuracy and interpretability. Develop and validate machine learning and statistical models for prediction, classification, clustering, or optimization. Apply supervised and unsupervised learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch. Implement NLP, time-series forecasting, or optimization More ❯

wrangling and model development to delivering insights that shape strategic decisions. What you’ll do Collect, clean, and analyse large datasets from a variety of sources Build and deploy statistical and machine learning models to solve complex business problems Collaborate closely with data engineers and stakeholders to deliver high-impact insights Develop data visualisations and dashboards to communicate findings … Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis Strong problem-solving and critical thinking skills Excellent communication and presentation abilities What’s on offer Competitive salary and clear progression path Hybrid working (2–3 days a More ❯

experience with Python, including scientific libraries (especially SciPy). Master’s degree in Mathematics, Computer Science, or a closely related quantitative field. Very strong background in mathematics, analytics, or statistical modeling. Proven ability to understand and implement complex mathematical concepts and models. Experience in developing analytic and optimization solutions in a product environment. Valuable: Experience with marketing mix modeling … forecasting, or econometric/statistical modeling. Valuable: Familiarity with NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, CI/CD tools. Excellent communication, teamwork, and problem-solving skills. What we offer The opportunity to shape the analytics engine that drives marketing decisions for global brands. Collaborate with a highly skilled, international team. Opportunity to mentor junior engineers or take technical More ❯

research into production-ready systems. Key challenges you’ll help tackle: Transform large, messy datasets from legacy systems into structured, usable formats Design, run, and evaluate experiments using rigorous statistical methods Prototype ML models for forecasting, optimization, and recommendation across sales, inventory, and operations Explore and fine-tune LLMs for practical use cases within industry workflows Partner with engineers … using it to uncover insights that drive business value You bring a scientific mindset (Bachelor’s/Master’s/PhD in a quantitative discipline) with strong experimental and statistical reasoning 2+ years of hands-on experience in data science, ML engineering, or applied research Skilled at designing and evaluating experiments with proper baselines, controls, and metrics Excited to More ❯

Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯