151 to 175 of 290 Data Science Jobs in the North of England

within the team. You will lead complex analytics projects; scoping work, designing solutions, and guiding clients through change. You'll work closely with business and technical stakeholders to turn data into actionable insight. What You'll Do: Lead end-to-end delivery of analytics projects Design scalable data architectures on cloud platforms Translate business needs into effective analytics … help improve delivery practices Support pre-sales and contribute to service development What We're Looking For: 7+ years in analytics with proven delivery leadership Strong skills in cloud data platforms (Snowflake, Azure, AWS, or GCP), SQL, and data modelling Experience with BI tools like Power BI, Tableau, or Looker Familiarity or interest in AI and data science techniques (LLMs, predictive models, automation) Consulting skills: stakeholder engagement, workshop facilitation Team leadership and coaching experience More ❯

and deliver AI-powered tools that streamline workflows Build and test proof-of-concept applications using Python, JavaScript and Cloud APIs Integrate AI solutions with existing business systems and data platforms Translate business needs into practical, AI-driven solutions that deliver measurable value Develop user guides and documentation for new AI tools Support internal teams through training sessions and … with cross-functional teams to align AI projects with business priorities Share knowledge and mentor colleagues on AI and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with More ❯

Architect to shape the technology strategy and architecture that underpins creditworthiness assessment and lending decisions. This role is critical to developing intelligent, automated credit decisioning platforms that bring together data, analytics, regulatory compliance, and enterprise architecture. You will design the overall lending decision architecture, working closely with risk teams, data scientists, and senior stakeholders to build systems that … efficient, fair, and compliant lending outcomes. Key Responsibilities . Architect end-to-end credit risk decisioning and affordability systems . Design and implement decision engines, integrating internal and external data sources . Translate credit policy and business objectives into technical requirements and rule frameworks . Partner with data science teams to integrate statistical and machine learning models … a subject-matter expert across risk, technology, and senior leadership teams Required Skills & Experience . Deep expertise in decision engine platforms - eg FICO Blaze, Pega, or similar . Strong data analytics and programming capability (Python, R, SAS) . Proficient in enterprise system integration and data warehousing environments . Understanding of cloud platforms (AWS, Azure, GCP) for scalable decisioning More ❯

Python applications, considering scalability, performance, and maintainability. • Evaluate and select appropriate Python frameworks (Django, Flask, FastAPI, etc.) based on project requirements. • Create detailed technical design documents, including system diagrams, data flow, and API specifications. • Ensure application security, performance, and scalability. • Collaborate with cross-functional teams, including designers, testers, and DevOps engineers. • Work with cloud platforms AWS, for deployment and … metaclasses. • Knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra). • Strong knowledge of OOPs Concepts • Understanding of domain-related best practices. • Strong command of Python syntax, data structures, object-oriented programming. • Proficiency in database design and optimization techniques. • Expertise in at least one popular Python web framework (Django, Flask, FastAPI). • Understanding of RESTful APIs and … Security & Authentication • API Gateway & Load Balancing. • CI/CD & DevOps Integration. • AWS (ECS, fargate , EC2, SNS, SQS, Cloudwatch, EKS, Kubernetes). Desirable skills/knowledge/experience: • Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. • Knowledge of data science and machine learning concepts and tools. Good to have: • Strategic thinking and problem-solving. • Collaboration More ❯

Python applications, considering scalability, performance, and maintainability. • Evaluate and select appropriate Python frameworks (Django, Flask, FastAPI, etc.) based on project requirements. • Create detailed technical design documents, including system diagrams, data flow, and API specifications. • Ensure application security, performance, and scalability. • Collaborate with cross-functional teams, including designers, testers, and DevOps engineers. • Work with cloud platforms AWS, for deployment and … metaclasses. • Knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra). • Strong knowledge of OOPs Concepts • Understanding of domain-related best practices. • Strong command of Python syntax, data structures, object-oriented programming. • Proficiency in database design and optimization techniques. • Expertise in at least one popular Python web framework (Django, Flask, FastAPI). • Understanding of RESTful APIs and … Security & Authentication • API Gateway & Load Balancing. • CI/CD & DevOps Integration. • AWS (ECS, fargate , EC2, SNS, SQS, Cloudwatch, EKS, Kubernetes). Desirable skills/knowledge/experience: • Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. • Knowledge of data science and machine learning concepts and tools. Good to have: • Strategic thinking and problem-solving. • Collaboration More ❯

AI and intelligent automation initiatives within a forward-thinking fiancial services organisation. This is a chance to deliver cutting-edge, high-impact transformation projects, harnessing the power of AI, data, and automation to drive operational efficiency, enhance customer experience, and enable smarter decision-making across the business. Senior Project Manager - AI Responsibilities: Lead the planning and delivery of AI … and automation projects from concept through to implementation and adoption. Work closely with data scientists, 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 technology, data, and business change teams to ensure alignment and delivery success. Drive user engagement and adoption of AI solutions across the business, ensuring value realisation. Facilitate steering groups and provide executive-level updates on progress and benefits delivered. Senior Project Manager Requirements Proven experience More ❯

AI and intelligent automation initiatives within a forward-thinking fiancial services organisation. This is a chance to deliver cutting-edge, high-impact transformation projects, harnessing the power of AI, data, and automation to drive operational efficiency, enhance customer experience, and enable smarter decision-making across the business. Senior Project Manager - AI Responsibilities: Lead the planning and delivery of AI … and automation projects from concept through to implementation and adoption. Work closely with data scientists, 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 technology, data, and business change teams to ensure alignment and delivery success. Drive user engagement and adoption of AI solutions across the business, ensuring value realisation. Facilitate steering groups and provide executive-level updates on progress and benefits delivered. Senior Project Manager Requirements Proven experience More ❯

AI and intelligent automation initiatives within a forward-thinking fiancial services organisation. This is a chance to deliver cutting-edge, high-impact transformation projects, harnessing the power of AI, data, and automation to drive operational efficiency, enhance customer experience, and enable smarter decision-making across the business. Senior Project Manager - AI Responsibilities: Lead the planning and delivery of AI … and automation projects from concept through to implementation and adoption. Work closely with data scientists, 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 technology, data, and business change teams to ensure alignment and delivery success. Drive user engagement and adoption of AI solutions across the business, ensuring value realisation. Facilitate steering groups and provide executive-level updates on progress and benefits delivered. Senior Project Manager Requirements Proven experience More ❯

CUDA C . Strong knowledge of GPU programming , memory management , and performance optimisation . Experience dockerising applications and working with container-based workflows. Experience building and integrating APIs for data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience More ❯

CUDA C . Strong knowledge of GPU programming , memory management , and performance optimisation . Experience dockerising applications and working with container-based workflows. Experience building and integrating APIs for data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience More ❯

Over this two-year programme, you’ll work with our Data Analytics, Insight & Reporting team, gaining hands-on experience in data analysis, visualisation, and reporting. We’ll support you through a Level 3 Data Technician apprenticeship, helping you build a strong foundation for a career in data. Role As a Data Technician Apprentice, you’ll rotate … across teams including Data Analytics, Standards & Innovation, and Research & Evaluation, gaining hands-on experience and developing core data skills across a range of projects. Data Analytics - Develop and deliver analyses using tools like Excel and Power BI, clean and prepare datasets, and respond to ad hoc requests by producing clear, user-friendly insights. Standards & Innovation - Support regulatory … data returns and contribute to quality control practices, ensuring data processes meet compliance standards and drive continuous improvement. Research & Evaluation - Work alongside Data Scientists and Psychometricians to understand statistical methods and help build predictive models. Support research projects using both quantitative and qualitative data to generate meaningful findings. Training Progress to a full time career Apprenticeship More ❯

AI Tech Scale-Up, where you’ll lead QA strategy, build automation frameworks, and embed quality practices across the entire software development lifecycle. You’ll work closely with engineering, data science, and product teams to make quality a core part of how we build and ship software. What You’ll Do Define and lead the QA strategy, methodology … track quality metrics to assess release readiness. Design and execute manual and automated tests for functional, performance, and regression testing. Test the unique aspects of computer vision systems — from data pipelines to inference performance and model accuracy. Partner with engineering and product teams to ensure testable requirements and smooth release management. Mentor engineers on QA best practices and contribute … Postman . Solid understanding of SDLC and Agile development. Excellent communication skills with both technical and non-technical teams. Bonus Skills: Experience testing Machine Learning or Artificial Intelligence systems (data quality, model metrics, inference latency). Familiarity with Cloud, Docker, Kubernetes , and CI/CD tools (e.g. GitLab CI). Experience with hardware simulation. Background in retail tech or More ❯

AI Tech Scale-Up, where you’ll lead QA strategy, build automation frameworks, and embed quality practices across the entire software development lifecycle. You’ll work closely with engineering, data science, and product teams to make quality a core part of how we build and ship software. What You’ll Do Define and lead the QA strategy, methodology … track quality metrics to assess release readiness. Design and execute manual and automated tests for functional, performance, and regression testing. Test the unique aspects of computer vision systems — from data pipelines to inference performance and model accuracy. Partner with engineering and product teams to ensure testable requirements and smooth release management. Mentor engineers on QA best practices and contribute … Postman . Solid understanding of SDLC and Agile development. Excellent communication skills with both technical and non-technical teams. Bonus Skills: Experience testing Machine Learning or Artificial Intelligence systems (data quality, model metrics, inference latency). Familiarity with Cloud, Docker, Kubernetes , and CI/CD tools (e.g. GitLab CI). Experience with hardware simulation. Background in retail tech or More ❯

AI Tech Scale-Up, where you’ll lead QA strategy, build automation frameworks, and embed quality practices across the entire software development lifecycle. You’ll work closely with engineering, data science, and product teams to make quality a core part of how we build and ship software. What You’ll Do Define and lead the QA strategy, methodology … track quality metrics to assess release readiness. Design and execute manual and automated tests for functional, performance, and regression testing. Test the unique aspects of computer vision systems — from data pipelines to inference performance and model accuracy. Partner with engineering and product teams to ensure testable requirements and smooth release management. Mentor engineers on QA best practices and contribute … Postman . Solid understanding of SDLC and Agile development. Excellent communication skills with both technical and non-technical teams. Bonus Skills: Experience testing Machine Learning or Artificial Intelligence systems (data quality, model metrics, inference latency). Familiarity with Cloud, Docker, Kubernetes , and CI/CD tools (e.g. GitLab CI). Experience with hardware simulation. Background in retail tech or More ❯

Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure More ❯

Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure More ❯

Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure More ❯

Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure More ❯

Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure More ❯

Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure More ❯

Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth. Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure More ❯

environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping, and production What we're looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix More ❯

environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping, and production What we’re looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix More ❯

environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping, and production What we’re looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix More ❯

environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping, and production What we’re looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix More ❯