1 to 25 of 98 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support for … their analytical skills Qualifications - Experience in customer data/analytics, ideally within the retail industry. - Strong predictive analytics background, preferably in customer marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence More ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … best practices and standards for data science workflows within the organisation Qualifications Minimum of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise More ❯

out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in … shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that … based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise … in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other More ❯

heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset revenue forecasting, power dispatch modelling, or power markets data, the … enhancing the company's global asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems, gathers feedback, and solves them effectively. Defines hypotheses and appropriate analysis approaches. Ensures statistical validity of results while avoiding common pitfalls. Develops deep technical expertise and emerging domain knowledge in forecasting or dispatch modelling. Provides specialist skills in data analysis, visualisation, and data … evolving their skills. Impact Performs defined and repeatable tasks with limited guidance. Independently formulates new analyses and project components. Carries out independent analysis on specific areas of forecasting or modelling projects. Delivers high-quality outputs on time, recognised for accuracy and reliability. Demonstrates strong proficiency in SQL or Python for data handling. Supports data governance and quality assurance activities. More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

to deliver value-adding projects. Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning … solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research More ❯

candidate brings a proven ability to develop data-driven pricing models, proficiency in analytical tools like Excel, SQL, Python, PowerBI, and experience with ERP or pricing. Key skills include: Statistical modelling, forecasting, customer segmentation, and pricing strategy optimisation. Strong communication, collaboration, and problem-solving abilities are essential, along with sharp attention to detail and the capability to manage More ❯

teams, handling diverse situations with independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. Work with various datasets, utilizing … tools like R, Python, SQL, and statistical software to derive actionable insights. Contribute to data visualization efforts and support decision-making by translating data into business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to the team Enthusiastic expertise in machine learning, data science, AI, and a passion for innovative … technologies, with experience in R, Python, or similar tools being a plus. Familiarity with relational databases and intermediate-level SQL knowledge. A solid understanding of a broad range of statistical techniques and data analysis methods. Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. Personal attributes that align with UiPath's More ❯

Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯