1 to 25 of 58 Remote/Hybrid Statistical Modelling Jobs in England

PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure … Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning ...

Instagram and X!Your New Role...We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio.This role sits at the intersection of statistical modelling … translated into robust, defensible insight for clients and internal stakeholders.This is a hands-on senior analytics role, requiring deep expertise in regression and multivariate modelling, alongside the ability to clearly explain methodology, guide junior analysts and ensure outputs are both statistically sound and commercially relevant.Your Role Accountabilities...Own ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

range of complex analytical projects, defining direction, governance and delivery approaches to:Establish, champion and assure analytical standards and methods, ensuring appropriate use of statistical techniques, data modelling and coding approaches are used to solve complex business challenges.Lead the design and adoption of scalable, reusable analytical products … read more about here. Essential Criteria:To be considered for this role, your application must demonstrate evidence of all the following Essential Criteria: Applying statistical and analytical tools and techniques: Expert in the application of statistical methodologies and analytical techniques to resolve highly complex business problems. Provide technical ...

doSolve the hard problems Take on ambiguous, high-value problems across customer understanding, personalisation, optimisation and decisioning.Advance techniques used across the team (uplift modelling, optimisation, causal inference, recommendations, real-time decisioning).Set us up for successDefine and embed best practice across modelling, experimentation, deployment, and model lifecycle management.Drive … immediate value, future value, and technical rigour.A strong ability to communicate ideas to audiences of varying technical background and seniority.Data Science expertiseStrong grounding in statistical modelling and machine learning, such as predictive modelling at scale, unsupervised learning, causal inference, experimentation, optimisation and decisioningStrong understanding ...

trusted, high-impact analytical solutions. As a Data Analyst, you'll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results. You'll work with business and product teams to investigate complex commercial questions and generate robust evidence. … This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You don't need extensive commercial experience, but you should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment. What ...

experience Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong numeracy and statistical modelling expertise Excellent written and verbal communication skills You will be an experienced data professional who will bring strong technical expertise in data … science, machine learning and advanced analytics, with extensive experience using Python, SQL or Spark SQL, statistical modelling, natural language processing and large language models. You will have experience across the full machine learning lifecycle, including data cleaning, quality checks, model development, evaluation and deployment. You will also ...

benefit decision-making Our People Planning & Analytics team is looking for a new colleague who wants to contribute with solid experience in data analysis, statistical modelling and machine learning to contribute towards talent optimization, workforce planning and overall People Analytics.Please note: This role is based in London … support relocation.Core ResponsibilitiesUtilize statistical techniques to extract meaningful insights from diverse datasets related to candidate sourcing, application processes, employee onboarding, and end-to-end employee life cycle.Develop predictive models to forecast future talent needs, attrition rates, and identify potential recruitment challenges.Collaborate with HR and recruitment teams to identify opportunities ...

machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges. Partner with technical and non-technical stakeholders to translate data requirements into … approaches. Your Skills & Experience Strong experience in data science, machine learning, artificial intelligence, and advanced analytics. Expertise in Python and SQL for data analysis, modelling, and production-grade solutions. Experience designing, deploying, and maintaining machine learning models in cloud environments. Strong knowledge of Google Cloud Platform, with exposure ...

complex data into powerful business decisions? Join our team and help shape the future of data-driven decision-making by delivering advanced analytics, predictive modelling, and business intelligence solutions that influence strategic and operational outcomes across the organisation. This role offers the opportunity to work with diverse stakeholders, modern … experience: Strong experience using SQL and business intelligence platforms such as Power BI, Tableau, or Qlik. Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics. Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions. Strong understanding of ETL processes, data integration ...

fraud detection, and monitoring.Collaborate with compliance officers to assess regulatory requirements and ensure adherence.Assist in the development of financial crime prevention strategies.Build and refine statistical models and machine learning tools to detect unusual activity, as well as presentation tools to demonstrate fraudulent activity.Present findings to senior management, regulators ...

retraining, ensuring alignment with AECOM’s global standards.Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains.Apply statistical modelling, machine learning, and optimisation techniques to solve high-impact business problems, including resource allocation, project risk management, and asset lifecycle forecasting.Design ...

retraining, ensuring alignment with AECOM’s global standards.Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development domains.Apply statistical modelling, machine learning, and optimisation techniques to solve high-impact business problems, including resource allocation, project risk management, and asset lifecycle forecasting.Design ...

products, delivering insights to clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role will … develop bespoke AI solutions.Drive automation and optimisation of business workflows, helping clients to drive efficiency.Connect to your skills and professional experience EssentialStrong understanding of statistical modelling, supervised/unsupervised machine learning algorithms.Can explain how the models work to non-technical audiences, advocating for interpretability and audit best practices.Experience ...

business decisions and operations efficiency through data analytics.Deliver state-of-the-art data analytics and reporting solutions leveraging our commercial, operational and business data.Data modelling for reporting and analytics.Development and deployment of data visualizations and reports for management and internal business partners.Present ideas and solutions to business and technical … Tools.YOUR PROFILE:Demonstrated technical expertise in the following areas: business intelligence tools, design, and development of dashboards and reporting applications, databases, data modelling, ETL processes.The successful candidate will be practiced in the hands-on development of software or analytics solutions.Minimum of 3 years of experience working on projects related ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

establish direction and purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making.What you'll need to succeedProficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling ...

enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data Scientists, supporting their … within a commercial environment and a proven track record of creating value through machine learning and advanced analytics. You'll also have: A strong statistical or highly numerate academic background Advanced skills in Python and SQL Experience developing, deploying and maintaining predictive and machine learning models in production environments ...

this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages.The ideal candidate will have endless curiosity and can pair a global mindset … identify and calculate features that can be leveraged by multiple use cases as well as models.Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business ...

with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation ...