51 to 70 of 70 Statistical Modelling Jobs in England

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 ...

deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable systems. Support cloud deployments … into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition ...

Lead 🚨 I’m working with a global consultancy/data analytics organisation that urgently needs a Data Science Lead to drive advanced causal inference, statistical modeling, and experimentation strategies across complex datasets . This is a senior, hands-on role working in a fast-paced, highly collaborative environment. What … apply conformal prediction frameworks to provide reliable uncertainty estimates for machine learning models Identify and control for confounding variables in observational studies Create robust statistical methodologies for causal effect estimation Collaborate with cross-functional teams to translate business questions into rigorous experimental designs Present technical findings to stakeholders ...

This isn't your typical Machine Learning role focussed on LLMs. They are looking for talented engineers with a quantitative background and experience with statistical models. What you’ll be doing: • Building and deploying scalable ML models powering mobile apps and internal tools • Designing data architecture for efficient storage … data scientists, engineers, and business stakeholders • Monitoring, maintaining, and improving production ML systems What they’re looking for: • Strong foundations in maths, statistics, and modelling • Experience building production-grade ML systems (e.g. forecasting, optimisation, CV) • Solid ML Ops and data engineering experience • Proficiency in Python & SQL (Airflow, PyTorch, Spark ...

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 ...

Responsibilities: Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights. Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact. Design and run experiments (A/B tests, hypothesis tests, simulations … ideas, quantify outcomes, and guide decision‐making. Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well‐defined modelling tasks. Build end‐to‐end ML pipelines—from feature engineering and preprocessing to deployment‐ready model outputs. Essential skills/knowledge/experience: Hands ...

required to: Produce high quality increments to the team's model library - working both individually and collaboratively. Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation. Provide support to Trading & Origination on model usage and behaviour. Leverage the teams cross-asset expertise … strong plus. Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable. Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems. Familiarity or high level of interest in Energy/commodity markets. Strong Communicator and fluent ...

Reporting Analyst - SQL - Tableau - Qliksense - statistical Analysis - Contract - London - Hybrid Location: London, Victoria Pay Rate: £280 per day Inside IR35 Duration: 12 Months Working situation: 3 days per week in the office My client who are leaders in their field are looking for a BI Reporting Analyst to join … skills for presenting analysis and insights to non-technical stakeholders. Ability to manage time effectively and prioritize tasks to meet project deadlines. Knowledge of statistical analysis and predictive modeling. Experience working in a fast-paced, dynamic environment. ...

data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data … Lead R&D projects focused on drivers of US healthcare behaviour at scale Design and run behavioural measurement approaches (survey + digital signals) Build statistical and predictive models (regression, segmentation, behavioural modelling) Translate findings into benchmarks, insights and recommendations Partner with PM/DE to productise outputs into ...

focus sectors Demonstrated strong analytical and interpersonal skills Expertise in Data engineering: Relational databases, big data technologies, and data pipeline development. Data analytics: Statistical analysis, geospatial modelling, machine learning, and visualisation. Ability to communicate findings to multiple audiences Track record of independently managing workstreams/projects Self-driven ...

SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca’s data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real … commercial teams. The role As the Head of Data Science, you’ll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You’ll set direction, shape team structure, and ensure the function’s work is grounded in commercial ...

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 ...