1,126 to 1,150 of 4,040 Analytics Jobs in the UK excluding London

edge, mission-critical programmes in a highly collaborative technical environment, this is an excellent opportunity. What You’ll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end More ❯

or data architecture (e.g., AWS, Azure, GCP, Databricks). Experience designing and delivering data lakes or large-scale data migration projects. Familiarity with graph databases, semantic modelling, or advanced analytics platforms. Previous consulting experience within financial services or similarly complex environments. Leadership skills with the ability to mentor teams and contribute to practice development. Why Join More ❯

or data architecture (e.g., AWS, Azure, GCP, Databricks). Experience designing and delivering data lakes or large-scale data migration projects. Familiarity with graph databases, semantic modelling, or advanced analytics platforms. Previous consulting experience within financial services or similarly complex environments. Leadership skills with the ability to mentor teams and contribute to practice development. Why Join More ❯

qualification (eg MCIPD) Prince 2 Practitioner qualification Qualification in programme management, or a related discipline. Leadership qualification level 4 or above. Change Management qualification (e.g., PROSCI) Certification in Data Analytics or Data Management (e.g., Certified Analytics Professional). Personal Qualities, Knowledge and Skills Essential Project and Programme Management: Demonstrable skills in operational and programme management, project planning, and implementation, including More ❯

They are considering Data Engineers at all levels from Junior up to Principal Data Engineer. What You’ll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end More ❯

focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience More ❯

focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience More ❯

including pension, healthcare, life insurance, 26 days holiday and 10 further days working from wherever you want in the world amongst others. What You'll Do Joining the Quantitative Analytics & Development team, you will play a role in the development and enhancement of their in-house pricing and risk models. The models are implemented in the Quant Library, which is More ❯

including pension, healthcare, life insurance, 26 days holiday and 10 further days working from wherever you want in the world amongst others. What You'll Do Joining the Quantitative Analytics & Development team, you will play a role in the development and enhancement of their in-house pricing and risk models. The models are implemented in the Quant Library, which is More ❯

focus on generative AI and LLMs in the Finance/Telecomm/LSH/Manufacturing/Retail domain. Prior experience in identifying new opportunities to optimize the business through analytics, AI/ML and use case prioritization. The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience More ❯

/AWS) Proven track record of leading small, high-performing teams Experience working in startups or fast-paced product environments Bonus: experience with AI/ML , AdTech , MarTech , or analytics products Why You’ll Love Working Here Competitive salary: £100k–£130k + share options Generous leave: 28 days annual leave plus public holidays Hybrid flexibility: typically 3 days in the More ❯

/AWS) Proven track record of leading small, high-performing teams Experience working in startups or fast-paced product environments Bonus: experience with AI/ML , AdTech , MarTech , or analytics products Why You’ll Love Working Here Competitive salary: £100k–£130k + share options Generous leave: 28 days annual leave plus public holidays Hybrid flexibility: typically 3 days in the More ❯

/AWS) Proven track record of leading small, high-performing teams Experience working in startups or fast-paced product environments Bonus: experience with AI/ML , AdTech , MarTech , or analytics products Why You’ll Love Working Here Competitive salary: £100k–£130k + share options Generous leave: 28 days annual leave plus public holidays Hybrid flexibility: typically 3 days in the More ❯

of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree in a logic- or analytics-oriented discipline such as Cognitive Science, AI, Mathematics, Information Systems, or Engineering. More ❯

or contact Chelsea Hackett via Chelsea.hackett@searchability.com WHAT WILL YOU BE DOING? In this role, you’ll be building and maintaining the data systems that power our reporting and analytics across the business. You’ll develop reliable data pipelines in Databricks, bringing together real-time and batch data from multiple sources on AWS. Working closely with teams across Finance, Marketing More ❯

analytical, and leadership skills. Desirable: Experience delivering strategic data solutions under uncertainty. DAMA accreditation (associate level or higher) or ability to achieve within six months. Exposure to AI, data analytics, or related technical domains. Experience influencing senior stakeholders across large organisations. If you’re a visionary data leader ready to shape the future of data strategy and governance, we’d More ❯

Experiences Substantial experience in data analysis or a related field. Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau People Analytics - Extensive knowledge of people reporting requirements. HRIS and Org Modelling systems - Good understanding of people systems, technologies and people data sets Substantial experience of HR processes, employment life cycle and More ❯

Preferred Qualifications: -Part-qualified or fully qualified accountant (ACA, ACCA, CIMA, CPA, or equivalent) -Prior experience in a regulated or financial services environment (ideally) -Exposure to automation tools, data analytics, or process improvement methodologies. More ❯

Preferred Qualifications: -Part-qualified or fully qualified accountant (ACA, ACCA, CIMA, CPA, or equivalent) -Prior experience in a regulated or financial services environment (ideally) -Exposure to automation tools, data analytics, or process improvement methodologies. More ❯

Preferred Qualifications: -Part-qualified or fully qualified accountant (ACA, ACCA, CIMA, CPA, or equivalent) -Prior experience in a regulated or financial services environment (ideally) -Exposure to automation tools, data analytics, or process improvement methodologies. More ❯

Experiences Substantial experience in data analysis or a related field. Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau People Analytics - Extensive knowledge of people reporting requirements. HRIS and Org Modelling systems - Good understanding of people systems, technologies and people data sets Substantial experience of HR processes, employment life cycle and More ❯

day IT operations, ensuring reliability, scalability, and performance across systems and infrastructure. Vendor & Budget Management : Lead vendor relationships, contract negotiations, and manage the IT budget to maximize ROI. Data & Analytics : Champion data governance, business intelligence, and AI-driven decision-making. Cybersecurity & Compliance : Ensure robust cybersecurity frameworks, risk management, and regulatory compliance. Team Leadership : Inspire and manage a skilled IT team More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯

day IT operations, ensuring reliability, scalability, and performance across systems and infrastructure. Vendor & Budget Management : Lead vendor relationships, contract negotiations, and manage the IT budget to maximize ROI. Data & Analytics : Champion data governance, business intelligence, and AI-driven decision-making. Cybersecurity & Compliance : Ensure robust cybersecurity frameworks, risk management, and regulatory compliance. Team Leadership : Inspire and manage a skilled IT team More ❯