1 to 25 of 245 Statistical Modelling Jobs in the UK excluding London

health conditions and infectious diseases. Work across directorates and with external stakeholders to identify and develop opportunities for product automation and reproducible analyses (includes the automation of epidemiological and statistical models). A background of working with clinical or epidemiological data would be advantageous. All Hazards Intelligence-Global - An all-source intelligence assessment team accredited by the Professional Head … address complex problems and to inform strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight Essential Criteria A first or second-class honours degree … in a numerate discipline, computer science or IT equivalent which demonstrates core statistical skills; OR have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques More ❯

Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop … the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with … Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and More ❯

Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop … the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with … Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and More ❯

Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop … the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with … Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and More ❯

selection to optimize model performance. • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. • Train, evaluate, and optimize models using machine learning and statistical techniques. • Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. • Develop and apply data science methodologies to extract insights from large-scale … retrain or refine models as needed. • Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. • Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. • Stay updated on the latest advancements in AI/ML and data science technologies. • Lead and mentor junior team members. • Develop and maintain … NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency in working with large datasets, data wrangling, and data preprocessing. • Experience in data science, statistical modelling, and data analytics techniques. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from inception to deployment. More ❯

meet future needs. Working with technical and non-technical users to understand user requirements and then mine through unknown databases to locate critical data for advanced analysis such as statistical prediction models Working with Lumentum IT and/or non-IT database owners to establish automated data pipelines that quickly and efficiently extract & transform from multiple sources to create … to factory floor personnel, enabling faster and better-informed decision and actions. Explore, understand and assimilate new data sets from wide variety of sources & systems to support ad hoc statistical analysis, integration into automated data analysis/reporting systems and development of predictive modelling and anomaly detection systems. Communicate results and ideas to key decision makers - ability to … dissect complex analytical models and create understanding with wide array of stakeholders; from customers to design teams. Research and develop statistical learning models and algorithms. Use Lean/Kaizen methods to analyse and improve data and business processes. Minimum Qualifications Bachelor of Science either Computer Science, Applied Mathematics, Statistics or related majors (Masters preferred) 5+ years hands on experience More ❯

analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue optimisation. Collaborate with … data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise with data visualisation tools (e.g., Tableau). Exceptional analytical and creative problem-solving skills, with meticulous attention to detail. Excellent More ❯

tools such as Tableau or Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you’re passionate about leveraging data to create meaningful impact, thrive in collaborative environments More ❯

to the planning, execution and delivery of data science projects in a collaborative environment. We expect the role holder to bring relevant expertise and experience in data analysis, including statistical modelling and machine learning, to communicate effectively on progress and results to a variety of audiences. In addition, we expect the job holder to advocate for data-driven … scientific research and technology. What are we looking for? PhD or master's degree with equivalent relevant experience in Statistics, Computer Science, Mathematics or a related field Experience in statistical modelling and machine learning and their practical applications, driving positive change through data-driven decision making and their applications. Understanding of statistical principles related to sampling, bias … and through written materials to a variety of audiences. What will be your key responsibilities? Execute data science projects in a collaborative environment, taking responsibility for data analysis, including statistical modelling and machine learning, and data management and reporting with a repeatable, interpretable and scalable approach. Work with key stakeholders across the organisation to deliver value-adding data More ❯

If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their move to the … driven analytics, making this an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational … insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based analytics. Lead data More ❯

quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models (nice to have skill) to drive business decision-making. Train, evaluate, and optimize models using statistical techniques Key Skills: 5+ years of experience in AI/ML … years experience in data science Data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science More ❯

tools such as Tableau or Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you’re passionate about leveraging data to create meaningful impact, thrive in collaborative environments More ❯

a mission-driven Data Scientist to join our team supporting high-impact initiatives in the Defence and National Security sector. You will apply advanced analytical techniques, machine learning, and statistical modelling to solve complex operational challenges. Working within a secure, multidisciplinary environment, you'll help deliver data-driven insights to support decision-making, threat detection, intelligence analysis, and … national defence strategies. Key Responsibilities Develop and deploy data models, machine learning algorithms, and statistical analyses to support defence and national security operations. Work with structured and unstructured data from diverse sources such as sensors, ISR feeds, satellite imagery, communications, cyber threat logs, and intelligence reports. Collaborate with domain experts, analysts, and engineers to understand mission needs and translate … Active EDV/UK*C security clearance. Proficient in Python and/or R, with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong statistical, mathematical, and data modelling skills. Experience with data visualisation tools (e.g., Power BI, Tableau, matplotlib, Plotly). Familiarity with big data tools and cloud platforms (e.g., Hadoop, Spark More ❯

selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale … retrain or refine models as needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Lead and mentor junior team members. Develop and maintain … NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. More ❯

analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue optimisation. Collaborate with … data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise with data visualisation tools (e.g., Tableau). Exceptional analytical and creative problem-solving skills, with meticulous attention to detail. Excellent More ❯

AI/ML methods, processes and systems to extract knowledge or insights to drive the future of artificial intelligence. What you will be doing: Applying and/or developing statistical modelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques Converting data into practical insights Analysing and investigating data quality More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

throughout the business. The team has grown to 30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work with data from a wide … optimization, machine learning, artificial intelligence, statistics, or other aspects of the data science process. • Strong familiarity with programming in Python. • Strong theoretical background in and practical experience using optimization, statistical techniques, and AI/ML, preferably shown through academic publications or open-source code. • Ability to work within a team environment, and to collaborate and communicate across cross-functional More ❯

working in a growing team, and who loves sport. What you’ll do: Lead data science workstreams on client projects, managing analysts and collaborating with consultants. Develop and deploy statistical models and core IP. Build reusable tools to streamline analysis and visualisation. Communicate insights clearly to all audiences. Mentor junior team members and support capability growth. Work with engineers More ❯

oriented professional with expertise in time series forecasting to help us predict key business metrics, drive strategic decision-making, and optimize operations. In this role, you'll apply advanced statistical methods and forecasting models to uncover trends and inform high-impact business strategies. What You'll Do: Develop and implement time series forecasting models to predict demand, sales, and More ❯

Python or R, SQL, and data visualization tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt More ❯

and visualisations to support strategic and operational decision making Design, build, test and maintain analytical data management systems, making sure they meet business requirements and user needs Build credible statistical models from the data and follow best coding practices Develop analytic insight based on functional designs and user requirements communicating findings via data visualisation to a range of technical More ❯