26 to 38 of 38 Statistical Modelling Jobs in the UK excluding London

similar role, ideally within a SaaS or data-driven environment Strong hands-on expertise in data science tools and techniques (e.g. Python, machine learning, statistical modelling) Experience delivering data-driven solutions with measurable commercial impact Exposure to or experience with Elastic (Elasticsearch) is highly desirable Demonstrated experience managing ...

significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency and produce world ...

significant difference within a well-established and rapidly growing organisation. Your day to day will consist of...... Proactively and collaboratively develop Analysis and Insight Statistical analysis and modelling Report making to help deliver optimal management decisions Identify, quantify and prioritise opportunities to enhance operational efficiency and produce world ...

looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning ...

Develop and maintain software tools for tolerance analysis, variation simulation, and robust design, enabling engineers to evaluate product performance under real-world variability. Implement statistical models and algorithms (e.g., Monte Carlo simulation, Design of Experiments) to analyse variation, predict risk, and support data-driven design decisions. Integrate ...

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 ...

entire ML lifecycle , working hands‐on and strategically: Design, build, and optimise ML models across: Natural Language Processing (NLP) Computer Vision Predictive/statistical modelling Own solutions from data preparation → training → evaluation → deployment Design and maintain robust MLOps pipelines (CI/CD for ML, model versioning, monitoring) Work ...

largely remote role with on average just 1 day a month required in the office. The Data Scientist (Machine Learning) will apply statistical and machine learning techniques to real commercial datasets, producing outputs such as impact analysis, ROI modelling, forecasting, and anomaly detection. The emphasis is on practical … could be a great opportunity for you. You should have experience of: Experience as a Data Scientist or advanced Data Analyst Strong analytical/statistical skills Practical Python modelling experience Good SQL for data exploration Clear communication of results to non-technical teams Initially this ...

largely remote role with on average just 1 day a month required in the office. The Data Scientist (Machine Learning) will apply statistical and machine learning techniques to real commercial datasets, producing outputs such as impact analysis, ROI modelling, forecasting, and anomaly detection. The emphasis is on practical … could be a great opportunity for you. You should have experience of: Experience as a Data Scientist or advanced Data Analyst Strong analytical/statistical skills Practical Python modelling experience Good SQL for data exploration Clear communication of results to non-technical teams Initially this ...

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 ...

Radio, SDRangel, SoapySDR, ZMQ Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi, LTE, LoRa) Ability to design machine learning or statistical models for signal classification, anomaly detection or emitter identification MUST be eligible for SC Clearance due to the nature of the work Responsibilities … Classification/Electromagnetic Signal Analysis/Wireless Spectrum Monitoring/Signal Intelligence/Drone Detection Systems/RF Machine Learning/RF System Modelling/RF Detection Engineer ...

impact the scale up of manufacturing operations. Machine Learning Engineer Skills you will use: Strong Mathematical/Statistics background Coding in Python Probabilistic modelling You will learn: To develop Machine Learning models for statistical process control To model and predict performance of high tech manufacturing systems The role ...

risk, and product to shape the future of our lending strategy. What You'll Do As Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle (data, features, modelling, validation, deployment, monitoring) Develop monitoring frameworks and performance ...