26 to 50 of 689 Statistical Modelling Jobs in England

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 ❯

large datasets from various sources to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products Build predictive models for various business applications (e.g., Research Pricing, recommendation … technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via APIs More ❯

years of experience in a data science role, preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve financial inclusion and access to fair 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 ❯

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 pricing. Deep knowledge of data strategy frameworks, data governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent 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 ❯

work with a variety of data sources, analyze trends, and support decision-making through your insights and expertise. This role will involve collaborating with project teams, managing datasets, performing statistical analysis, and presenting findings in a clear and concise manner to both technical and non-technical stakeholders. Key Responsibilities: Collect, clean, and organize large datasets from various sources related … energy consumption, emissions, environmental factors, and sustainability metrics. Conduct in-depth analysis of energy usage trends, carbon footprints, and environmental data to support clients in their sustainability goals. Apply statistical techniques and models to identify patterns, correlations, and forecasts relevant to energy transition and environmental management. Develop data visualizations, dashboards, and reports to communicate findings and recommendations to clients … in geospatial data analysis (e.g., GIS tools). Understanding of energy transition frameworks such as net-zero goals or carbon offset projects. Knowledge of machine learning techniques or advanced statistical modeling. What We Offer: Competitive salary and benefits package. Flexible working hours and hybrid/remote working options. Opportunity to work on cutting-edge projects within the energy and More ❯

deliver transformational analytical solutions, business intelligence reports and advanced models to drive key business decisions and strategies. The role requires a strong technical understanding of data platforms, visualisation tools, statistical methods and machine learning techniques. You’ll need to be adaptable, flexible and resourceful in delivering a challenging roadmap whilst our data landscape is transforming. This is a crucial … Data Governance policy. Collaborate with Data Engineers to develop automated data pipelines and workflows for data collection, analysis and reporting. Data analysis Analyse data trends, patterns and anomalies using statistical techniques to derive meaningful insights. Model development and evaluation Utilise machine learning, NLP, Generative AI, and other advanced statistical methods to build predictive and descriptive models. Validate and … Python. An ability to analyse complex datasets and extract actionable insights. Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Skilled in building credible statistical models. Knowledge of various learning algorithms (supervised, unsupervised, reinforcement). Experience with MLOps practices. Demonstrable experience building visualisations and dashboards in Tableau. An understanding of data management principles in More ❯

and analyze data from multiple sources using SQL and/or other tools. Learn and apply Tableau to build impactful dashboards and visualizations (if not already experienced). Apply statistical methods such as regression, clustering, time series forecasting, etc., where applicable. Collaborate cross-functionally with strategy, marketing, product, and engineering teams. Stay current with industry trends, especially in travel … essential - you should be comfortable writing complex queries and working with large-scale data. Familiar with Tableau (or quick to learn) and comfortable building data visualizations. Strong analytical toolkit: statistical methods, scenario modeling, A/B testing, or predictive modeling experience. Business-savvy and interested in learning or expanding knowledge in the travel or vacation rental space. Demonstrated experience More ❯

various industries. You will collaborate with a team of experts to solve complex business challenges using cutting-edge AI technologies. KEY RESPONSIBILITIES Design and architect scalable ML solutions using statistical modeling, MLOps frameworks and cloud technologies Build machine learning models for marketing attribution, customer prediction, segmentation, and recommendation systems with deep understanding of customer experience and marketing use-cases … Implement end-to-end ML pipelines including feature engineering, model training, deployment, and monitoring Perform advanced statistical analysis including A/B testing, causal inference, and experimental design Deploy production ML systems with automated retraining, drift detection, and real-time inference capabilities Work closely with data engineers, consultants and clients to ensure seamless integration and deployment of ML solutions 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 ❯

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 ❯

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 ❯

are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with large datasets. Strong expertise in designing and building robust data pipelines 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 ❯

Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting #LI-PA1 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our 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 ❯