101 to 125 of 196 Data Science Jobs in the North West

Lead Data Engineer – Manchester – £70,000–£75,000 + Bonus Hybrid – 2–3 days per week in the office We’re representing an award-winning, tech-driven organisation in the travel industry that’s scaling its data capability to support rapid growth and digital transformation. They’re seeking a Lead Data Engineer to guide a small, dynamic … team and help shape the future of their cloud-based data platform. This is a fantastic opportunity for a technically strong engineer with a collaborative mindset, someone who can translate complex data challenges into clear business outcomes. You’ll be joining a company where data sits at the heart of decision-making and innovation, working alongside passionate … professionals in an ambitious, people-focused culture. The Role Lead, mentor, and develop a small team of two Data Engineers. Design, build, and optimise data pipelines and integrations (using dbt, Airbyte , OpenFlow , APIs , and Python ) to deliver reliable and scalable data. Support the development of a new cloud-based data platform, driving modernisation from legacy Microsoft systems. More ❯

Lead Data Engineer – Manchester – £70,000–£75,000 + Bonus Hybrid – 2–3 days per week in the office We’re representing an award-winning, tech-driven organisation in the travel industry that’s scaling its data capability to support rapid growth and digital transformation. They’re seeking a Lead Data Engineer to guide a small, dynamic … team and help shape the future of their cloud-based data platform. This is a fantastic opportunity for a technically strong engineer with a collaborative mindset, someone who can translate complex data challenges into clear business outcomes. You’ll be joining a company where data sits at the heart of decision-making and innovation, working alongside passionate … professionals in an ambitious, people-focused culture. The Role Lead, mentor, and develop a small team of two Data Engineers. Design, build, and optimise data pipelines and integrations (using dbt, Airbyte , OpenFlow , APIs , and Python ) to deliver reliable and scalable data. Support the development of a new cloud-based data platform, driving modernisation from legacy Microsoft systems. More ❯

Lead Data Engineer - Manchester - £70,000-£75,000 + Bonus Hybrid - 2-3 days per week in the office We're representing an award-winning, tech-driven organisation in the travel industry that's scaling its data capability to support rapid growth and digital transformation. They're seeking a Lead Data Engineer to guide a small, dynamic … team and help shape the future of their cloud-based data platform. This is a fantastic opportunity for a technically strong engineer with a collaborative mindset, someone who can translate complex data challenges into clear business outcomes. You'll be joining a company where data sits at the heart of decision-making and innovation, working alongside passionate … professionals in an ambitious, people-focused culture. The Role Lead, mentor, and develop a small team of two Data Engineers. Design, build, and optimise data pipelines and integrations (using dbt, Airbyte , OpenFlow , APIs , and Python ) to deliver reliable and scalable data. Support the development of a new cloud-based data platform, driving modernisation from legacy Microsoft systems. More ❯

in the following areas: Problem-solving methods and approaches Effective communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations … of verification and validation An understanding of foundational concepts in mathematics and physics that apply to underwater acoustic systems Conduct high level of systems analysis with supporting application of science and mathematics Scientific and numerical programming and scripting languages (e.g. MATLAB, Python) Training You will be studying towards a BSc in Digital and Technology Solutions, following the Software Engineering More ❯

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 ❯

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 ❯

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 ❯

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 ❯

We are looking for a data engineer to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning- a completed or in progress Masters/PhD … mathematics problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required More ❯