76 to 100 of 104 Statistical Modelling Jobs in the UK

drive to build production-grade solutions that scale. The Senior Python Software Engineer – Analytics & Optimisation will: – Design and maintain well-structured Python modules for modelling and forecasting – Build optimisation algorithms to solve real-world marketing challenges – Implement scalable data pipelines using cloud-native tools – Champion high coding standards with … 5+ years' experience with Python and scientific libraries (especially SciPy) – A Master's in Maths, Computer Science, or similar quantitative field – Strong grasp of statistical modelling and numerical optimisation – Experience with scalable data/analytics architecture in a product setting – Familiarity with CI/CD, Docker, Kubernetes ...

. Hands on experience with a modern deep learning framework, preferably PyTorch. Strong theoretical understanding of machine learning principles, including deep learning and classical statistical models. Knowledge of the inner workings of LLMs and VLMs, the ability to gut them and work with them past just surface-level functionality. ...

Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk selection, pricing, aggregation monitoring, catastrophe response and portfolio management. Partner with Product Design and Decision Science teams ...

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use). Familiarity with ...

learning, and the chance to make a difference. About the Role As a Data Scientist, you’ll work end-to-end across data pipelines, modelling, and insights — helping the business make smarter decisions every day. You’ll collaborate with product, engineering and senior stakeholders, with full support from … team. If you love solving problems, asking questions, and building useful things with data, this role is for you. Key Responsibilities ✅ Build predictive and statistical models using Python ✅ Develop end-to-end data pipelines and automated workflows ✅ Analyse behavioural, financial or operational datasets ✅ Create dashboards and visualisations ...

Familiarity with syndicated data sources (e.g., Nielsen, IRI/Circana, Kantar) and retailer point-of-sale data. Preferred Skills Analytics Proficiency: Strong grasp of statistical concepts (Regression, Clustering, Elasticity). Ability to guide data scientists on modeling approaches. Tools: Advanced proficiency in Excel, Powerpoint is non-negotiable. Experience with … developer, but must have some understanding of the code logic and capabilities). Functional knowledge (prefer some hands-on experience) of data analytics, statistical models (MMM, Price-Promotions etc.), retail audit data (e.g. Nielsen, IRI) is strongly desirable. Soft Skills: Exceptional storytelling and presentation skills. Ability to manage ambiguity ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. … complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured ...

challenges Design and implement predictive models, machine learning algorithms, and AI-driven solutions Build and optimize data pipelines for advanced analytics Deliver insights through statistical analysis, visualization, and storytelling Advise clients on data strategy, governance, and best practices Collaborate with multidisciplinary teams to deliver impactful outcomes Your Profile Experience … data science or analytics to Principal-level leadership Proficiency in Python, R, SQL, and familiarity with Spark, TensorFlow, PyTorch Strong knowledge of machine learning, statistical modeling, and data engineering principles Experience with cloud platforms (AWS, Azure, GCP) Excellent communication and client-facing skills Active SC or DV Clearance ...

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 … 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 ...

predict outcomes! Operations research: handling constraints, finding optimal arrangements for fastest packing. Stochastic simulation: accounting for variability in machine speeds and conveyor setups. Techniques: statistical simulation, stochastic modeling, linear optimization. Tools & Platforms Expertise: Databricks for data workflows. GitHub for CI/CD and version control. Package management for reproducibility. ...

predict outcomes! Operations research: handling constraints, finding optimal arrangements for fastest packing. Stochastic simulation: accounting for variability in machine speeds and conveyor setups. Techniques: statistical simulation, stochastic modeling, linear optimization. Tools & Platforms Expertise: Databricks for data workflows. GitHub for CI/CD and version control. Package management for reproducibility. ...

data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. … Data modelling experience and understanding of the Kimball methodology Desirable Expertise: DP-600 – Fabric Analytics Engineer Associate PL-300 – Power BI Data Analyst Associate DP-700 - Fabric Data Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build ...

high-impact solutions Stay ahead of healthcare trends and use data to inform strategic decision-making Technical Development & Delivery Build and deploy advanced analytics, statistical models, and machine learning solutions Ensure solutions are robust, scalable, accurate, and production-ready Collaborate with data engineers on scalable pipelines and cloud infrastructure … deploying models and software using cloud platforms and containerisation Deep understanding of data privacy, governance, and access requirements Advanced proficiency in Python and core statistical/machine learning techniques Excellent understanding of statistics and analytical best practice Experience with relational databases Ability to translate business problems into technical solutions ...

requirements: Preferably some 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 ...

focused environment. Proficiency in SQL and Python or R, with experience using BI tools such as Power BI, Tableau, or Looker Studio. Confident with statistical analysis, predictive modelling, and translating insights into clear recommendations. Comfortable working in a fast-paced setting where collaboration and initiative are key. Interview ...

performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them … will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters ...

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 ...

cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models … Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna → filters → mixers ...

cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models … Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna ? filters ? mixers ...

influence strategy, game-economy design, and commercial performance. As a Senior Data Scientist, you’ll work across player behaviour, game-economy optimisation, and predictive modelling, helping to scale automated decision systems across the organisation. Your work will be highly visible, with frequent opportunities to present directly to senior leadership. … strategic decision-making. Collaborate across data science, engineering, product, and commercial teams to deliver end-to-end solutions. Improving player retention and engagement using statistical modelling. Enhancing automated decision systems across the gaming ecosystem. Evaluating reward effectiveness and game-economy balance. Driving experimentation and structured multivariate testing across product ...

approach. You will join Central Test’s Research & Development department , working alongside occupational psychologists, psychometricians, data scientists, and researchers, contributing to the creation and statistical validation of psychometric tests and HR tools. 🎯 Your role You will contribute to the development, revision and validation of our psychometric tools. Your main … responsibilities will include: Data collection, analysis, quality control, and statistical validation of psychological models and HR frameworks Keeping up to date with industry advancements and applying these to our processes Quality control of Central Test’s platform, including standardisation and scoring Contribution to technical platform conception and redesigns , such ...

Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business. The environment … collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement. Role: Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical ...

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 … 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 ...

Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows. You will play a key role in enabling fast, reliable and scalable delivery of ML driven solutions across the business. The environment … collaborative, fast paced and engineering focused, with a strong emphasis on high standards, automation and continuous improvement. Role: Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical ...