20 of 20 Permanent Statistical Modelling Jobs in London

data-driven models and insights that directly support product development, customer experience, and commercial decision-making. The successful candidate will have strong experience in statistical modelling, machine learning, and experimentation , with the ability to work closely with product and engineering teams to deliver practical, scalable solutions. Key Responsibilities … Data Science & Modelling Develop, test, and deploy statistical and machine learning models to support product features and business decision-making. Apply predictive modelling, classification, and optimisation techniques to real-world problems. Perform exploratory data analysis to identify trends, patterns, and opportunities for improvement. Experimentation & Insights Design ...

implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Strong data analysis, statistical modelling, and experimentation skills. Experience with data visualisation tools and techniques. Proficiency in programming languages such as Python, R, or similar. Knowledge of data ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

cleaning, and preparing both structured and unstructured data Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights Build, test, and evaluate basic statistical and machine learning models Develop dashboards, visualisations, and reports to clearly communicate findings Support data-driven decision-making across multiple teams Document processes, methodologies … years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data visualisation tools such as Matplotlib, Seaborn, Power ...

work independently, not just with AI-assisted coding). Strong skills in: Data wrangling/manipulation (e.g., dplyr, pandas) Visualisation (e.g., ggplot2, matplotlib) Statistical modelling (e.g., multilevel models, Bayesian methods, machine learning) Experience working hands-on with real-world datasets: cleaning, validating, and interpreting results (including uncertainty … statistical significance). Ability to turn analysis into a clear narrative , producing client-ready outputs with effective charts and explanations. A strong interest in electoral politics, political science and public opinion . Confident communication skills and a strong client service ethic . Nice to have: Familiarity with MRP concepts ...

SciPy + Pandas). Master’s degree in Mathematics, Computer Science, or a closely related quantitative field. Very strong background in mathematics, analytics, or statistical modelling with a proven ability to implement these using Python and its associated libraries Experience in developing analytic and optimization solutions … product environment. Valuable: Experience with marketing mix modeling, forecasting, or econometric/statistical modeling. Valuable: Familiarity with NumPy, 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 ...

SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying: Proficiency in SQL for extracting, manipulating … question, and challenge assumptions. Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems. Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations. ...

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced football metrics (possession ...

visualisation tools Knowledge of data governance, security, and compliance principles Skills & Abilities Essential Python and/or R SQL Data wrangling, cleaning, and preparation Statistical analysis and modelling Machine learning frameworks and optimisation techniques Desirable Cloud-based data and analytics services Data visualisation tools Machine learning platforms Version ...

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 … 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 ...

strong software design skills Proven experience building cloud-based platforms e.g. Azure Strong background in containerised environments using Docker and Kubernetes Excellent understanding of statistical modelling, machine learning theory, and data-driven decision making Experience leading technical projects and mentoring engineers Comfortable working in fast-moving, client-facing ...

build systems that generate accurate scores alongside clear, actionable feedback for learners and educators. There's a strong focus on quality, fairness, auditability, and statistical rigour in model evaluation. You should want to work here if you're motivated by meaningful AI problems, real-world impact, and technical ownership. ...

role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply … them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement ...

client challenges with structured and pragmatic approaches. Quantitative and Qualitative Analysis: Strong experience delivering rigorous quantitative analysis using proprietary, primary, and secondary data, including statistical analysis, modelling, and scenario-based approaches, complemented by structured qualitative analysis to draw actionable conclusions. Deliverable Preparation: Ability to write and create compelling ...

large datasets for trends and actionable insights, and present your findings in ways that inform and influence key business decisions. Your expertise in Python, statistical methods, causal modelling (such as Chain Modelling), and data visualisation will be integral as you collaborate with HR, business leaders, and cross … resilience and sustainability of the UK's energy infrastructure. If you have hands-on experience with Databricks, GitHub, and a background in data-driven modelling within a corporate environment, all the better. We're seeking someone with a degree in Maths, Economics, Data Science, Statistics, Computer Science ...

sustainable subscriber growth. THE TEAM You'll join the newly established Marketing Analytics function; a specialist group focused on advanced measurement, marketing mix modelling, experimentation, and campaign performance evaluation. Sitting within the wider Analytics organisation (which includes content analytics, local analytics, and subscriber growth), this team partners closely with … influence investment decisions. Contributing to the development of measurement methodologies across a scaling analytics organisation. SKILLS & EXPERIENCE REQUIRED Essential: Proven experience in Marketing Mix Modelling and marketing effectiveness frameworks. Strong SQL skills (high bar - candidates must be comfortable scoring 10-11 out of 15 on SQL assessments). Hands ...

ground/court/track/pitch): Python programming. Practical experience working with sport data (either professionally or within personal projects). Exposure with statistical methods , sports modelling and machine learning , with the ability to apply them to real-world sporting problems. Genuine passion for Cricket, Tennis, Horse ...

Manager – Marketing Mix Modelling (MMM) CL7 Location: London/UKWork Model: HybridOrganization: Accenture Song Data & AI Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining deep industry expertise with advanced analytics, AI, and machine learning, we help our clients across more than … industries make smarter, faster, and more impactful decisions. We are looking for a Manager – Marketing Mix Modelling (MMM) to join our growing Song Marketing Data & AI team. In this role, you’ll lead the delivery of data-driven marketing effectiveness solutions, helping clients understand and optimize the impact ...