1,076 to 1,100 of 2,419 Permanent Data Modelling Jobs

thing, and land it in the business in a way people use. Typical projects include implementing new platforms (e.g. PIM/DAM), improving how we manage and publish product data, integrating new systems into our eCommerce stack, rolling out new processes for digital trading and content, and supporting CRM/customer data initiatives. This is not a pure … from discovery and requirements through build, test, launch and post-launch adoption. Own the day-to-day project plan, RAID, scope, and stakeholder comms across multiple workstreams (content, product data, trading, CRM, marketing, tech, suppliers). Coordinate internal teams and external suppliers/implementation partners to keep deliverables aligned, on time and in scope. Support planning and delivery of … other digital capability projects such as CRM improvements (customer data, segmentation, campaign enablement, single customer view). Translate business needs into workable solutions Capture, structure and prioritise business requirements from teams such as eCommerce trading, merchandising, product data, content, marketing, CRM and customer experience. Turn those requirements into clear functional specs and acceptance criteria that can be delivered More ❯

thing, and land it in the business in a way people use. Typical projects include implementing new platforms (e.g. PIM/DAM), improving how we manage and publish product data, integrating new systems into our eCommerce stack, rolling out new processes for digital trading and content, and supporting CRM/customer data initiatives. This is not a pure … from discovery and requirements through build, test, launch and post-launch adoption. Own the day-to-day project plan, RAID, scope, and stakeholder comms across multiple workstreams (content, product data, trading, CRM, marketing, tech, suppliers). Coordinate internal teams and external suppliers/implementation partners to keep deliverables aligned, on time and in scope. Support planning and delivery of … other digital capability projects such as CRM improvements (customer data, segmentation, campaign enablement, single customer view). Translate business needs into workable solutions Capture, structure and prioritise business requirements from teams such as eCommerce trading, merchandising, product data, content, marketing, CRM and customer experience. Turn those requirements into clear functional specs and acceptance criteria that can be delivered More ❯

thing, and land it in the business in a way people use. Typical projects include implementing new platforms (e.g. PIM/DAM), improving how we manage and publish product data, integrating new systems into our eCommerce stack, rolling out new processes for digital trading and content, and supporting CRM/customer data initiatives. This is not a pure … from discovery and requirements through build, test, launch and post-launch adoption. Own the day-to-day project plan, RAID, scope, and stakeholder comms across multiple workstreams (content, product data, trading, CRM, marketing, tech, suppliers). Coordinate internal teams and external suppliers/implementation partners to keep deliverables aligned, on time and in scope. Support planning and delivery of … other digital capability projects such as CRM improvements (customer data, segmentation, campaign enablement, single customer view). Translate business needs into workable solutions Capture, structure and prioritise business requirements from teams such as eCommerce trading, merchandising, product data, content, marketing, CRM and customer experience. Turn those requirements into clear functional specs and acceptance criteria that can be delivered More ❯

Lead Data Engineer Python, DBT, Airflow, Terraform, GCP/AWS London (Hybrid 1-2 Days) £120K-£140K OB is partnered with an exciting Unicorn FinTech that are on a mission to transform lending with a central focus on data. As a Lead Engineer, you will set the technical direction for our data platform and shape how data … and risk. This is a hands-on leadership role in a high-trust, high-ownership environment. You'll lead a squad of talented engineers, architect the future of our data ecosystem, and drive modern, scalable engineering practices across the organisation. What you'll do Lead and develop a squad of 4-6 data engineers. Own the technical strategy … for the data platform and internal data products. Design scalable, secure, observable data architectures. Work closely with product and business teams to deliver meaningful outcomes. Drive engineering excellence, automation, and standardisation. Mentor and coach engineers, raising the bar across the function. Stay hands-on when needed: you build it, you run it. What you'll work on More ❯

Lead Data Engineer | Python, DBT, Airflow, Terraform, GCP/AWS | London (Hybrid 1-2 Days) | £120K-£140K OB is partnered with an exciting Unicorn FinTech that are on a mission to transform lending with a central focus on data. As a Lead Engineer, you will set the technical direction for our data platform and shape how data … and risk. This is a hands-on leadership role in a high-trust, high-ownership environment. You’ll lead a squad of talented engineers, architect the future of our data ecosystem, and drive modern, scalable engineering practices across the organisation. What you’ll do Lead and develop a squad of 4–6 data engineers. Own the technical strategy … for the data platform and internal data products. Design scalable, secure, observable data architectures. Work closely with product and business teams to deliver meaningful outcomes. Drive engineering excellence, automation, and standardisation. Mentor and coach engineers, raising the bar across the function. Stay hands-on when needed: you build it, you run it. What you’ll work on More ❯

Lead Data Engineer | Python, DBT, Airflow, Terraform, GCP/AWS | London (Hybrid 1-2 Days) | £120K-£140K OB is partnered with an exciting Unicorn FinTech that are on a mission to transform lending with a central focus on data. As a Lead Engineer, you will set the technical direction for our data platform and shape how data … and risk. This is a hands-on leadership role in a high-trust, high-ownership environment. You’ll lead a squad of talented engineers, architect the future of our data ecosystem, and drive modern, scalable engineering practices across the organisation. What you’ll do Lead and develop a squad of 4–6 data engineers. Own the technical strategy … for the data platform and internal data products. Design scalable, secure, observable data architectures. Work closely with product and business teams to deliver meaningful outcomes. Drive engineering excellence, automation, and standardisation. Mentor and coach engineers, raising the bar across the function. Stay hands-on when needed: you build it, you run it. What you’ll work on More ❯

Data Engineer Location: Stevenage (Hybrid – 2–3 days on-site per week) Salary: Up to £55,000 (depending on experience) Are you a skilled Data Engineer with a passion for Generative AI and emerging data technologies? This is your opportunity to play a key role in a growing international and cross-functional environment, supporting the design, development … and optimisation of data pipelines that power next-generation AI systems across a world-class defence organisation. The Role As a Data Engineer (Generative AI) , you’ll be responsible for evaluating, building, and maintaining high-quality data sets for internal customers—ensuring performance, reliability, and maintainability at every stage. You’ll work within MBDA’s IM GenAI … Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation’s technology roadmap and advancing its use of More ❯

Data Engineer Location: Bolton (Hybrid – 2–3 days on-site per week) Salary: Up to £55,000 (depending on experience) Are you a skilled Data Engineer with a passion for Generative AI and emerging data technologies? This is your opportunity to play a key role in a growing international and cross-functional environment, supporting the design, development … and optimisation of data pipelines that power next-generation AI systems across a world-class defence organisation. The Role As a Data Engineer (Generative AI) , you’ll be responsible for evaluating, building, and maintaining high-quality data sets for internal customers—ensuring performance, reliability, and maintainability at every stage. You’ll work within MBDA’s IM GenAI … Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation’s technology roadmap and advancing its use of More ❯

Data Engineer Location: Stevenage (Hybrid – 2–3 days on-site per week) Salary: Up to £55,000 (depending on experience) Are you a skilled Data Engineer with a passion for Generative AI and emerging data technologies? This is your opportunity to play a key role in a growing international and cross-functional environment, supporting the design, development … and optimisation of data pipelines that power next-generation AI systems across a world-class defence organisation. The Role As a Data Engineer (Generative AI) , you’ll be responsible for evaluating, building, and maintaining high-quality data sets for internal customers—ensuring performance, reliability, and maintainability at every stage. You’ll work within MBDA’s IM GenAI … Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation’s technology roadmap and advancing its use of More ❯

Data Engineer Location: Stevenage (Hybrid – 2–3 days on-site per week) Salary: Up to £55,000 (depending on experience) Are you a skilled Data Engineer with a passion for Generative AI and emerging data technologies? This is your opportunity to play a key role in a growing international and cross-functional environment, supporting the design, development … and optimisation of data pipelines that power next-generation AI systems across a world-class defence organisation. The Role As a Data Engineer (Generative AI) , you’ll be responsible for evaluating, building, and maintaining high-quality data sets for internal customers—ensuring performance, reliability, and maintainability at every stage. You’ll work within MBDA’s IM GenAI … Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation’s technology roadmap and advancing its use of More ❯

Data Engineer Location: Bolton (Hybrid – 2–3 days on-site per week) Salary: Up to £55,000 (depending on experience) Are you a skilled Data Engineer with a passion for Generative AI and emerging data technologies? This is your opportunity to play a key role in a growing international and cross-functional environment, supporting the design, development … and optimisation of data pipelines that power next-generation AI systems across a world-class defence organisation. The Role As a Data Engineer (Generative AI) , you’ll be responsible for evaluating, building, and maintaining high-quality data sets for internal customers—ensuring performance, reliability, and maintainability at every stage. You’ll work within MBDA’s IM GenAI … Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation’s technology roadmap and advancing its use of More ❯

systems, defining and managing the solution designs and decisions associated with these. Key skills: • Managing, owning and delivering the solution architecture artefacts for these, eg. Sequence diagrams, integration flows, data flows, security • Translating the business requirements and architectural decisions into actionable technical designs • Designing and managing the data flows across systems, data modelling and data integration • Working closely with all stakeholders, from business to engineering to project managers to ensure designs are aligned and implementable • Working within the architecture and data standards, understanding the current digital landscape, risks involved and working within the boundaries of this to create solutions that are pragmatic, secure yet extensible and flexible • Experience in the oil and gas More ❯

systems, defining and managing the solution designs and decisions associated with these. Key skills: • Managing, owning and delivering the solution architecture artefacts for these, eg. Sequence diagrams, integration flows, data flows, security • Translating the business requirements and architectural decisions into actionable technical designs • Designing and managing the data flows across systems, data modelling and data integration • Working closely with all stakeholders, from business to engineering to project managers to ensure designs are aligned and implementable • Working within the architecture and data standards, understanding the current digital landscape, risks involved and working within the boundaries of this to create solutions that are pragmatic, secure yet extensible and flexible • Experience in the oil and gas More ❯

systems, defining and managing the solution designs and decisions associated with these. Key skills: • Managing, owning and delivering the solution architecture artefacts for these, eg. Sequence diagrams, integration flows, data flows, security • Translating the business requirements and architectural decisions into actionable technical designs • Designing and managing the data flows across systems, data modelling and data integration • Working closely with all stakeholders, from business to engineering to project managers to ensure designs are aligned and implementable • Working within the architecture and data standards, understanding the current digital landscape, risks involved and working within the boundaries of this to create solutions that are pragmatic, secure yet extensible and flexible • Experience in the oil and gas More ❯

Data Scientist Full remote (based in the UK) £30-33,000 depending on experience Benefits package. Primary Purpose Development of XCM’s machine learning solutions Delivery of client machine learning models . Delivery of associated documentation and content on each project. Communicating findings to internal and external stakeholders Enhancing the client’s ROI with XCM through data driven … to their specific business requirements. Supporting BAU and planned analytics on client roadmaps when needed. Supporting XCM’s analysts in statistical techniques. Key Responsibilities Working closely with the lead Data Scientist and Director of Analytics to develop a suite of machine learning solutions. Involvement in the design, creation, productionising, testing, and maintenance of machine learning solutions. Developing data … behaviour, email performance, and social media trends. Creation of technical and user documentation, marketing and other content associated with each project. Produce recommendations on how to develop the XCM data modelling roadmap. Confidently present analytics and recommendations both to colleagues and clients. Execute larger, complex statistical projects to produce strategic actionable recommendations. Lead the necessary actions off the More ❯

systems, defining and managing the solution designs and decisions associated with these. Key skills: • Managing, owning and delivering the solution architecture artefacts for these, eg. Sequence diagrams, integration flows, data flows, security • Translating the business requirements and architectural decisions into actionable technical designs • Designing and managing the data flows across systems, data modelling and data integration • Working closely with all stakeholders, from business to engineering to project managers to ensure designs are aligned and implementable • Working within the architecture and data standards, understanding the current digital landscape, risks involved and working within the boundaries of this to create solutions that are pragmatic, secure yet extensible and flexible • Experience in the oil and gas More ❯

Senior Python Engineer - Machine Learning & Data Analysis Snoqualmie, WA Long Term Contract Onsite Job Key Responsibilities Design, develop, and deploy Python-based ML solutions for large-scale data analysis. Build ETL/data pipelines to process structured and unstructured datasets. Perform exploratory data analysis (EDA), feature engineering, and model evaluation. Collaborate with data scientists, analysts … engineers and review code for quality and best practices. Required Skills & Experience Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask). Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack - Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools. Knowledge of cloud-based … MLOps practices. Strong SQL and data modelling skills. Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have. Knowledge of containerization (Docker, Kubernetes) is nice to have. More ❯

Insights Ltd Location: Hybrid (Slough, Berkshire/Remote) Salary: £30,000–£45,000 per year (depending on experience) Job Type: Full-time About Us GMC Insights Ltd is a data analytics and business consulting company helping organisations make smarter, data-driven decisions. We work across multiple industries, providing insight, automation, and reporting solutions that improve operational performance and … profitability. The Role We are seeking an Operational Data Analyst to join our growing team. This role combines elements of business analysis and management consulting. You'll analyse business operations, identify performance gaps, and help shape strategic improvements using data, technology, and process optimisation. Key Responsibilities Understand the strategic position of businesses and their relationships with markets and … stakeholders Analyse operational data to assess performance, efficiency, and potential areas for growth Present clear insights and recommendations to improve the company's strategic position and internal structure Evaluate communication methods, IT tools, and process workflows to identify areas for innovation and automation Support the adoption of new standards, certifications, and performance frameworks Develop dashboards and data reports More ❯

Insights Ltd Location: Hybrid (Slough, Berkshire/Remote) Salary: £30,000–£45,000 per year (depending on experience) Job Type: Full-time About Us GMC Insights Ltd is a data analytics and business consulting company helping organisations make smarter, data-driven decisions. We work across multiple industries, providing insight, automation, and reporting solutions that improve operational performance and … profitability. The Role We are seeking an Operational Data Analyst to join our growing team. This role combines elements of business analysis and management consulting. You'll analyse business operations, identify performance gaps, and help shape strategic improvements using data, technology, and process optimisation. Key Responsibilities Understand the strategic position of businesses and their relationships with markets and … stakeholders Analyse operational data to assess performance, efficiency, and potential areas for growth Present clear insights and recommendations to improve the company's strategic position and internal structure Evaluate communication methods, IT tools, and process workflows to identify areas for innovation and automation Support the adoption of new standards, certifications, and performance frameworks Develop dashboards and data reports More ❯

Insights Ltd Location: Hybrid (Slough, Berkshire/Remote) Salary: £30,000–£45,000 per year (depending on experience) Job Type: Full-time About Us GMC Insights Ltd is a data analytics and business consulting company helping organisations make smarter, data-driven decisions. We work across multiple industries, providing insight, automation, and reporting solutions that improve operational performance and … profitability. The Role We are seeking an Operational Data Analyst to join our growing team. This role combines elements of business analysis and management consulting. You'll analyse business operations, identify performance gaps, and help shape strategic improvements using data, technology, and process optimisation. Key Responsibilities Understand the strategic position of businesses and their relationships with markets and … stakeholders Analyse operational data to assess performance, efficiency, and potential areas for growth Present clear insights and recommendations to improve the company's strategic position and internal structure Evaluate communication methods, IT tools, and process workflows to identify areas for innovation and automation Support the adoption of new standards, certifications, and performance frameworks Develop dashboards and data reports More ❯

will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization … opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot … and applications . Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or More ❯

will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization … opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot … and applications . Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or More ❯

will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization … opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot … and applications . Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or More ❯

will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization … opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot … and applications . Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or More ❯

will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities Analyze, organize, and transform raw data into structured, usable formats. Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization … opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and testing. Implement LLMOps and automate workflows for AI lifecycle management. Build scalable, secure, and cost-efficient AI solutions for enterprise deployment. Troubleshoot … and applications . Security and Compliance: Ensure all AI solutions comply with security best practices and AI governance frameworks . Essential Skills & Experience: Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field . Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or More ❯