1 to 25 of 124 DemandTrendPermanent Predictive Modelling Jobs in the UK excluding London

risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work with a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics. Key Responsibilities: Own and develop predictive models to improve customer outcomes across multiple business domains. Lead model deployment and policy setting to enhance … seek and identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in More ❯

Director in Data and Analytics to shape and scale their data science capabilities. This individual will lead a high-performing analytics team, overseeing the development and deployment of advanced modelling, predictive insights, and data-driven strategies to guide executive decision-making across diverse business domains. Key Responsibilities Set the vision and roadmap for the data science function, fostering … scalable practices in areas such as A/B testing, user segmentation, predictive modelling, and reinforcement learning Lead cross-functional collaborations, embedding data-led insights into product development, marketing, and operational platforms Translate analytical discoveries into compelling, business-focused narratives for senior leadership and stakeholders Attract, mentor, and lead a distributed team of data scientists and engineers, nurturing … Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas More ❯

Director in Data and Analytics to shape and scale their data science capabilities. This individual will lead a high-performing analytics team, overseeing the development and deployment of advanced modelling, predictive insights, and data-driven strategies to guide executive decision-making across diverse business domains. Key Responsibilities Set the vision and roadmap for the data science function, fostering … scalable practices in areas such as A/B testing, user segmentation, predictive modelling, and reinforcement learning Lead cross-functional collaborations, embedding data-led insights into product development, marketing, and operational platforms Translate analytical discoveries into compelling, business-focused narratives for senior leadership and stakeholders Attract, mentor, and lead a distributed team of data scientists and engineers, nurturing … Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas More ❯

Director in Data and Analytics to shape and scale their data science capabilities. This individual will lead a high-performing analytics team, overseeing the development and deployment of advanced modelling, predictive insights, and data-driven strategies to guide executive decision-making across diverse business domains. Key Responsibilities Set the vision and roadmap for the data science function, fostering … scalable practices in areas such as A/B testing, user segmentation, predictive modelling, and reinforcement learning Lead cross-functional collaborations, embedding data-led insights into product development, marketing, and operational platforms Translate analytical discoveries into compelling, business-focused narratives for senior leadership and stakeholders Attract, mentor, and lead a distributed team of data scientists and engineers, nurturing … Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas More ❯

solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery and standards Engage with senior stakeholders and influence … decision-making YOUR SKILLS AND EXPERIENCE The successful Lead Analytics Consultant will have: Extensive experience in analytics, with strong delivery and client engagement skills Excellent SQL and data modelling experience Hands-on expertise with at least one cloud platform (Snowflake, Azure, AWS, GCP) Proficiency in a leading BI tool (Power BI or Tableau essential) Exposure to AI/ML … solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery and standards Engage with senior stakeholders and influence More ❯

analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

to communicate technical findings to non-technical stakeholders. Preferred: Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake). Familiarity with A/B testing, forecasting, and predictive modelling techniques. Experience in eCommerce as well as Finance and Healthcare industries. This fantastic new role is to be based in the company’s office in Liverpool city More ❯

helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯

opportunities for our clients. Collaborate with cross-functional teams to develop and implement data-driven strategies. Create impactful data visualisations and presentations that clearly communicate findings to stakeholders. Conduct predictive modelling and advanced analytics to support marketing initiatives. Stay updated on industry trends and best practises to continuously enhance our data capabilities. What You Bring: Bachelor's or More ❯

science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision … environment or completed a PhD with two years of suitable industry or research experience in a Data Science role. Strong Python skills with experience in Natural Language Processing and Predictive Modelling, alongside solid SQL capabilities. Experience in creating, deploying, and tuning complex, non-linear predictive models to solve business problems using Python and associated Data Science tooling. More ❯

Head of Modelling & Optimisation, Head of Pricing Transformation Two positions are available, Head of Modelling & Optimisation and Head of Pricing Transformation. These roles sit within ourRetail Pricing - Modelling & Optimisation division. Location: We operate flexible hybrid working for these positions and have offices based in Manchester and Peterborough. Role purpose The successful candidate is responsible for leading technical … pricing solutions Drive change and innovation to ensure continuous improvement End to end production of pricing models using a tailor-made pricing pipeline Use of pricing software to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to … help innovate and improve current modelling and pricing methodologies Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Street Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business Manage a team of varying experience, including managers About you: Strong experience managing pricing teams More ❯

Head of Modelling & Optimisation, Head of Pricing Transformation Two positions are available, Head of Modelling & Optimisation and Head of Pricing Transformation. These roles sit within ourRetail Pricing - Modelling & Optimisation division. Location: We operate flexible hybrid working for these positions and have offices based in Manchester and Peterborough. Role purpose The successful candidate is responsible for leading technical … pricing solutions Drive change and innovation to ensure continuous improvement End to end production of pricing models using a tailor-made pricing pipeline Use of pricing software to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to … help innovate and improve current modelling and pricing methodologies Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Street Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business Manage a team of varying experience, including managers About you: Strong experience managing pricing teams More ❯

hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme. You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated. You … ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business... sound like you? Apply now! What experience you’ll need to apply: Solid track record in forecasting … model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative and commercially strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics More ❯

hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme. You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated. You … ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business... sound like you? Apply now! What experience you’ll need to apply: Solid track record in forecasting … model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative and commercially strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics More ❯

hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme. You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated. You … ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business... sound like you? Apply now! What experience you’ll need to apply: Solid track record in forecasting … model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative and commercially strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics More ❯

Head of Modelling & Optimisation, Head of Pricing Transformation Two positions are available, Head of Modelling & Optimisation and Head of Pricing Transformation. These roles sit within our Retail Pricing - Modelling & Optimisation division. Location: We operate flexible hybrid working for these positions and have offices based in Manchester and Peterborough. Role purpose The successful candidate is responsible for leading … pricing solutions Drive change and innovation to ensure continuous improvement End to end production of pricing models using a tailor-made pricing pipeline Use of pricing software to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to … help innovate and improve current modelling and pricing methodologies Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Street Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business Manage a team of varying experience, including managers About you: Strong experience managing pricing teams More ❯

Deliver High-Impact Projects: Lead data-driven projects aligned with operational and strategic goals in the supply chain. Drive Advanced Analytics: Support the adoption of AI, machine learning, and predictive modeling capabilities. Map & Document Workflows: Use tools like Visio to document complex processes and ensure alignment with business objectives. Champion Data Governance: Develop scalable, accurate, and compliant data models More ❯

with cross-functional teams including commercial, product and engineering, to build automated ML/AI solutions that will provide tangible benefits for Travel Counsellors. Principal Accountabilities Build and deploy predictive models for optimising pricing, personalised recommendations and operational efficiencies Collaborate with data and software engineers to operationalise ML models within our wider technology platform and deliver on our AI More ❯

world problems-turning complex healthcare and operational data into actionable insights that directly improve quality of care across thousands of lives. If you want to push the boundaries of predictive analytics, benchmarking, and machine learning in a purpose-driven environment, this role is for you. What You'll Do Lead data exploration, hypothesis testing, and advanced statistical analysis to … drive product features and strategic decision-making. Design and implement robust benchmarking methodologies to compare performance across 200+ clinical and operational metrics. Build predictive insights that highlight trends, correlations, and risk factors (e.g., falls, infection prevention) using Azure Machine Learning and the wider Microsoft Azure data stack. Develop scalable, reusable workflows with Azure Data Factory, Synapse Analytics, and Databricks. … fairness. Mentor junior team members and help shape a strong, ethical data science culture. What You'll Bring Proven experience in data science with a strong track record in predictive modelling, correlations, and trend analysis. Hands-on expertise in the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills More ❯

with GDPR, ISO 27001 , and security best practices. Partner with Finance, Marketing, IT, and Operations to integrate data solutions into business strategy. Drive AI and machine learning initiatives , building predictive models to improve operational efficiency. Mentor and lead a high-performing team, fostering a culture of continuous improvement and innovation. Key Skills & Experience: Expertise in cloud platforms (Azure) and More ❯

data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks. More ❯

data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks. More ❯

the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance model More ❯

the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance model More ❯