23 of 23 Permanent Predictive Analytics Jobs in the North West

a team and driving the data strategy. The successful candidate will have experience building and maintaining data warehouses. Role & Responsibilities Lead the development of a comprehensive Data, BI and Analytics strategy, creating a “single version of the truth” across multiple ERP systems, IT platforms, and digital sources. Oversee the design and delivery of data warehouses, BI solutions, and reporting … support digital transformation, while educating and influencing teams that are not yet data-savvy. Lead and grow a data team, while working closely with external partners. Champion innovation in analytics, AI, and predictive insights to optimise performance and create business value Skills & Experience: We’re looking for a candidate who can balance technical expertise with leadership and change … requirements for operations, finance, and commercial functions. A track record of shaping centralised reporting solutions from fragmented and siloed data sources. Desirable – but not essential: AI/ML and predictive analytics Knowledge of IoT data integration Familiarity with multiple ERP systems and complex data landscapes. This is an incredible opportunity to shape and build the data function in More ❯

a team and driving the data strategy. The successful candidate will have experience building and maintaining data warehouses. Role & Responsibilities Lead the development of a comprehensive Data, BI and Analytics strategy, creating a “single version of the truth” across multiple ERP systems, IT platforms, and digital sources. Oversee the design and delivery of data warehouses, BI solutions, and reporting … support digital transformation, while educating and influencing teams that are not yet data-savvy. Lead and grow a data team, while working closely with external partners. Champion innovation in analytics, AI, and predictive insights to optimise performance and create business value Skills & Experience: We’re looking for a candidate who can balance technical expertise with leadership and change … requirements for operations, finance, and commercial functions. A track record of shaping centralised reporting solutions from fragmented and siloed data sources. Desirable – but not essential: AI/ML and predictive analytics Knowledge of IoT data integration Familiarity with multiple ERP systems and complex data landscapes. This is an incredible opportunity to shape and build the data function in More ❯

stakeholders to define KPIs and reporting needs. Develop self-service reporting tools for non-technical teams. Conduct data validation and quality assurance to ensure reliable insights. Support forecasting and predictive analytics to guide strategic decisions. Translate complex data into clear, actionable recommendations. Required Skills & Experience Strong SQL expertise, including optimisation and performance tuning. Experience in ETL development, data … of data warehouse best practices (Snowflake, BigQuery, Redshift). Experience with MS Business Central or similar ERP systems. eCommerce or omni-channel retail background. Exposure to machine learning and predictive analytics. This is a great opportunity to join a fast growing, stable D2C brand that values flexibility for all their staff and a chance to take ownership of their More ❯

stakeholders to define KPIs and reporting needs. Develop self-service reporting tools for non-technical teams. Conduct data validation and quality assurance to ensure reliable insights. Support forecasting and predictive analytics to guide strategic decisions. Translate complex data into clear, actionable recommendations. Required Skills & Experience Strong SQL expertise, including optimisation and performance tuning. Experience in ETL development, data … of data warehouse best practices (Snowflake, BigQuery, Redshift). Experience with MS Business Central or similar ERP systems. eCommerce or omni-channel retail background. Exposure to machine learning and predictive analytics. This is a great opportunity to join a fast growing, stable D2C brand that values flexibility for all their staff and a chance to take ownership of their More ❯

Ownership Oversee the architecture, performance, and development of the core e-commerce platform (Magento 2/headless commerce) and mobile app ecosystem. Drive AI innovation (personalisation, recommendations engine, automation, predictive analytics, generative AI capabilities). Ensure interoperability across systems (ERP, CRM, OMS, WMS, payment systems, retail POS). Operational Excellence Implement robust engineering principles, DevOps practices, and CI … reliability. Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV through technology. Experience leading large technical teams (in-house + outsourced) across multiple disciplines and geographies. More ❯

Ownership Oversee the architecture, performance, and development of the core e-commerce platform (Magento 2/headless commerce) and mobile app ecosystem. Drive AI innovation (personalisation, recommendations engine, automation, predictive analytics, generative AI capabilities). Ensure interoperability across systems (ERP, CRM, OMS, WMS, payment systems, retail POS). Operational Excellence Implement robust engineering principles, DevOps practices, and CI … reliability. Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV through technology. Experience leading large technical teams (in-house + outsourced) across multiple disciplines and geographies. More ❯

Ownership Oversee the architecture, performance, and development of the core e-commerce platform (Magento 2/headless commerce) and mobile app ecosystem. Drive AI innovation (personalisation, recommendations engine, automation, predictive analytics, generative AI capabilities). Ensure interoperability across systems (ERP, CRM, OMS, WMS, payment systems, retail POS). Operational Excellence Implement robust engineering principles, DevOps practices, and CI … reliability. Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV through technology. Experience leading large technical teams (in-house + outsourced) across multiple disciplines and geographies. More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance More ❯

engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance More ❯

engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

to guide our technology team's direction and efficiency. In this position, you will define and execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯