Martin Veasey Talent Solutions
Northampton, Northamptonshire
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
Apr 29, 2026
Full time
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
Join Our Client as an SC Cleared DSR Chief Software Engineer & Team Leader Location: Milton Keynes typically 2 days per week with some travel to London Salary: 88,000 and 95,000 + discretionary bonuses Must be willing and eligible to go through the SC Clearance process Are you a seasoned software engineering professional with a passion for leading innovative solutions in the public sector? Our client, a reputable organisation supporting UK Government departments, is seeking a proactive and strategic Chief Software & Systems Engineer to oversee critical digital record and sensitivity review programmes. What you'll be doing: Leading the delivery and evolution of Digital Records & Archive Management (DRAM) and Digital Sensitivity Review (DSR) systems. Managing and maintaining system architecture, ensuring security, compliance, and operational integrity. Overseeing a talented team of Software and Secure Cloud Engineers, fostering efficiency and continuous improvement. Collaborating with project teams, partners, and stakeholders to deliver secure, robust, and user-friendly solutions. Developing strategies, policies, and procedures aligned with government security standards. Supporting multiple projects, managing budgets, and ensuring timely delivery. Ensuring systems meet legislative and security requirements. What you'll bring: Extensive knowledge of software engineering principles, especially within secure, on-premise, and cloud environments. Proven leadership skills to manage and motivate technical teams. Strong project management capabilities across multiple initiatives. Excellent problem-solving, communication, and stakeholder engagement skills. Strategic thinker with a focus on security, compliance, and innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using tools such as Junit, Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto a Windows and Linux environment. Desirable skills: Experience with data science, analytics, and AI solutions. Knowledge of secure private/public cloud platforms, virtualisation, and containerisation. Background working within the public sector or government agencies. Join a forward-thinking organisation committed to innovation, security, and public service excellence. We look forward to hearing from you!
Apr 29, 2026
Full time
Join Our Client as an SC Cleared DSR Chief Software Engineer & Team Leader Location: Milton Keynes typically 2 days per week with some travel to London Salary: 88,000 and 95,000 + discretionary bonuses Must be willing and eligible to go through the SC Clearance process Are you a seasoned software engineering professional with a passion for leading innovative solutions in the public sector? Our client, a reputable organisation supporting UK Government departments, is seeking a proactive and strategic Chief Software & Systems Engineer to oversee critical digital record and sensitivity review programmes. What you'll be doing: Leading the delivery and evolution of Digital Records & Archive Management (DRAM) and Digital Sensitivity Review (DSR) systems. Managing and maintaining system architecture, ensuring security, compliance, and operational integrity. Overseeing a talented team of Software and Secure Cloud Engineers, fostering efficiency and continuous improvement. Collaborating with project teams, partners, and stakeholders to deliver secure, robust, and user-friendly solutions. Developing strategies, policies, and procedures aligned with government security standards. Supporting multiple projects, managing budgets, and ensuring timely delivery. Ensuring systems meet legislative and security requirements. What you'll bring: Extensive knowledge of software engineering principles, especially within secure, on-premise, and cloud environments. Proven leadership skills to manage and motivate technical teams. Strong project management capabilities across multiple initiatives. Excellent problem-solving, communication, and stakeholder engagement skills. Strategic thinker with a focus on security, compliance, and innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using tools such as Junit, Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto a Windows and Linux environment. Desirable skills: Experience with data science, analytics, and AI solutions. Knowledge of secure private/public cloud platforms, virtualisation, and containerisation. Background working within the public sector or government agencies. Join a forward-thinking organisation committed to innovation, security, and public service excellence. We look forward to hearing from you!
Senior Data Analyst Remote (UK-based) Full Time Nurseplus UK About the Role We re looking for a Senior Data Analyst to join our growing data team and take ownership of how Nurseplus uses data to drive decision-making. This is a great opportunity for someone who is curious, commercially minded, and passionate about turning data into real business impact . You don t need to know everything from day one we value people who ask questions, take initiative, and continuously develop their skills. You ll act as the Senior analytics voice in the team , working closely with a Data Engineer, a junior analyst, and stakeholders across the business including Operations, Finance, Compliance, and senior leadership. What You ll Be Doing Reporting & Dashboards Own the end-to-end delivery of Power BI reports and dashboards Define how the business measures performance across revenue, operations, compliance, and finance Ensure all reporting is accurate, clear, and actionable Stakeholder Engagement Act as a key link between the data team and the wider business Run workshops to gather requirements and translate them into data solutions Manage and prioritise the analytics backlog Present insights and dashboards to stakeholders, including senior leadership Challenge and refine requests to ensure meaningful outputs Team & Standards Mentor and support a junior BI & Reporting Analyst Set and maintain standards for reporting quality and documentation Review dashboards before release to ensure consistency and accuracy Data Quality Work with the Data Engineer to define and maintain high data quality standards Identify and escalate data issues Build monitoring tools to proactively flag data problems Own definitions of key business metrics Digital & Product Analytics Help shape analytics for our digital staffing platform Work with technology and development teams to embed reporting into new products What We re Looking For Essential Skills & Experience Experience in a Data Analyst / BI / Analytics role (typically 4+ years) Strong Power BI skills building reports people actually use Solid SQL knowledge (comfortable writing queries) Experience working directly with stakeholders Excellent communication skills able to explain data clearly Strong organisation and ability to manage multiple priorities Evidence of continuous learning and self-development Nice to Have Power BI advanced skills (DAX, Power Query, semantic models) Understanding of cloud data platforms (Azure, Databricks, etc.) Knowledge of data modelling (e.g. star schemas) Experience mentoring or supporting junior team members Exposure to tools like Jira Experience in healthcare, staffing, or regulated environments Familiarity with tools like dbt, Microsoft Fabric, Power Platform Who You Are Curious and eager to understand the why behind the data Proactive and self-driven Comfortable with ambiguity and evolving priorities Detail-focused and committed to quality A collaborative team player who values relationships as much as results Someone who has grown their skills over time and continues to do so What You ll Get Remote-first working with flexibility A key role shaping how a growing business uses data Exposure to a complex, multi-system environment A collaborative team where your work is visible and valued Opportunity to mentor others while continuing your own development Apply Now If you re a Senior Data Analyst who wants to make a real impact and grow with a business, we d love to hear from you.
Apr 29, 2026
Full time
Senior Data Analyst Remote (UK-based) Full Time Nurseplus UK About the Role We re looking for a Senior Data Analyst to join our growing data team and take ownership of how Nurseplus uses data to drive decision-making. This is a great opportunity for someone who is curious, commercially minded, and passionate about turning data into real business impact . You don t need to know everything from day one we value people who ask questions, take initiative, and continuously develop their skills. You ll act as the Senior analytics voice in the team , working closely with a Data Engineer, a junior analyst, and stakeholders across the business including Operations, Finance, Compliance, and senior leadership. What You ll Be Doing Reporting & Dashboards Own the end-to-end delivery of Power BI reports and dashboards Define how the business measures performance across revenue, operations, compliance, and finance Ensure all reporting is accurate, clear, and actionable Stakeholder Engagement Act as a key link between the data team and the wider business Run workshops to gather requirements and translate them into data solutions Manage and prioritise the analytics backlog Present insights and dashboards to stakeholders, including senior leadership Challenge and refine requests to ensure meaningful outputs Team & Standards Mentor and support a junior BI & Reporting Analyst Set and maintain standards for reporting quality and documentation Review dashboards before release to ensure consistency and accuracy Data Quality Work with the Data Engineer to define and maintain high data quality standards Identify and escalate data issues Build monitoring tools to proactively flag data problems Own definitions of key business metrics Digital & Product Analytics Help shape analytics for our digital staffing platform Work with technology and development teams to embed reporting into new products What We re Looking For Essential Skills & Experience Experience in a Data Analyst / BI / Analytics role (typically 4+ years) Strong Power BI skills building reports people actually use Solid SQL knowledge (comfortable writing queries) Experience working directly with stakeholders Excellent communication skills able to explain data clearly Strong organisation and ability to manage multiple priorities Evidence of continuous learning and self-development Nice to Have Power BI advanced skills (DAX, Power Query, semantic models) Understanding of cloud data platforms (Azure, Databricks, etc.) Knowledge of data modelling (e.g. star schemas) Experience mentoring or supporting junior team members Exposure to tools like Jira Experience in healthcare, staffing, or regulated environments Familiarity with tools like dbt, Microsoft Fabric, Power Platform Who You Are Curious and eager to understand the why behind the data Proactive and self-driven Comfortable with ambiguity and evolving priorities Detail-focused and committed to quality A collaborative team player who values relationships as much as results Someone who has grown their skills over time and continues to do so What You ll Get Remote-first working with flexibility A key role shaping how a growing business uses data Exposure to a complex, multi-system environment A collaborative team where your work is visible and valued Opportunity to mentor others while continuing your own development Apply Now If you re a Senior Data Analyst who wants to make a real impact and grow with a business, we d love to hear from you.
Macildowie Recruitment and Retention
Northampton, Northamptonshire
Macildowie Procurement, Supply Chain & Logistics CAPEX Buyer - Up to £70,000 Per Annum - Northampton Monday - Friday, 8:30am - 5pm Macildowie Procurement has exclusively partnered with a well-established manufacturing business to recruit a CAPEX Buyer. The key objectives are to strategically business partner with stakeholders both internally and externally to effectively build key relationships. Tasked with analysing spend, managing supplier relationships, negotiating contracts and aligning purchasing activities with long term business goals to reduce costs and risks. Main Responsibilities Lead and deliver procurement activity for major CAPEX, plant and engineering expenditure/projects. Prepare and manage RFPs, incorporating detailed specifications, contract terms and performance requirements. Draft, negotiate and manage contracts, service level agreements and framework agreements. Collaborate with legal teams to create robust contracts, define SLAs and establish KPIs to drive supplier accountability. Monitor and evaluate supplier performance and manage operational and strategic reviews. Oversee purchase order accuracy, invoice processing and budget preparation. Mitigate risk in the supply chain though dual sourcing, buffer stock agreements and identifying alternative solutions. Conducting market research, developing sourcing strategies and enhancing supplier performance. Leveraging data analytics to improve efficiency and ensure sustainability. Champion sustainability by improving supply chain environmental practices. The Candidate Previous experience operating in a strategic procurement position, managing categories such as CAPEX, MHE or engineering. Able to travel to Northampton and to various other Midlands based sites. Proficient user of Microsoft Office, including Excel. Effective communicator and comfortable liaising with a variety of stakeholders. Benefits 25 days holiday entitlement plus bank holidays. Life assurance. Generous employer pension contribution. Bonus scheme. The first stage of the application process is to apply online. If you would like any more information about this vacancy before applying, please get in touch with Tom Whitsey.
Apr 29, 2026
Full time
Macildowie Procurement, Supply Chain & Logistics CAPEX Buyer - Up to £70,000 Per Annum - Northampton Monday - Friday, 8:30am - 5pm Macildowie Procurement has exclusively partnered with a well-established manufacturing business to recruit a CAPEX Buyer. The key objectives are to strategically business partner with stakeholders both internally and externally to effectively build key relationships. Tasked with analysing spend, managing supplier relationships, negotiating contracts and aligning purchasing activities with long term business goals to reduce costs and risks. Main Responsibilities Lead and deliver procurement activity for major CAPEX, plant and engineering expenditure/projects. Prepare and manage RFPs, incorporating detailed specifications, contract terms and performance requirements. Draft, negotiate and manage contracts, service level agreements and framework agreements. Collaborate with legal teams to create robust contracts, define SLAs and establish KPIs to drive supplier accountability. Monitor and evaluate supplier performance and manage operational and strategic reviews. Oversee purchase order accuracy, invoice processing and budget preparation. Mitigate risk in the supply chain though dual sourcing, buffer stock agreements and identifying alternative solutions. Conducting market research, developing sourcing strategies and enhancing supplier performance. Leveraging data analytics to improve efficiency and ensure sustainability. Champion sustainability by improving supply chain environmental practices. The Candidate Previous experience operating in a strategic procurement position, managing categories such as CAPEX, MHE or engineering. Able to travel to Northampton and to various other Midlands based sites. Proficient user of Microsoft Office, including Excel. Effective communicator and comfortable liaising with a variety of stakeholders. Benefits 25 days holiday entitlement plus bank holidays. Life assurance. Generous employer pension contribution. Bonus scheme. The first stage of the application process is to apply online. If you would like any more information about this vacancy before applying, please get in touch with Tom Whitsey.
Junior Data Engineer, Data Operations £40,000 to £45,000 Basic + 10% Bonus + Benefits London HQ Remote across the UK fine though We re working with a growing, international SaaS organisation that is expanding its Data Operations capability and looking to hire a Junior Data Engineer. This is an excellent opportunity for someone early in their data engineering career to gain hands-on experience in a modern, cloud-first environment. You ll play a key role in building and maintaining reliable data pipelines that support reporting, analytics and operational decision-making across the business. Working alongside experienced Data Engineers and a collaborative data team, you ll help develop scalable data processes, improve data quality, and contribute to well-governed datasets used by teams across the organisation. You ll also gain exposure to enterprise-level data platforms and best practices. The role will involve developing and maintaining data pipelines, transforming data using Python, SQL and PySpark , integrating data from various internal and external sources, and supporting day-to-day data operations. You ll also contribute to data quality initiatives, documentation, and continuous improvements to platform reliability. We re looking for candidates with 1 to 3 years experience in data engineering, analytics engineering or a similar field. You ll have solid Python and SQL skills, experience working with data pipelines, and an understanding of cloud-based storage such as Amazon S3. Experience with tools like Databricks, Delta Lake, or BI platforms such as Power BI or Tableau would be advantageous. This organisation operates globally and is continuing to invest heavily in its data capabilities, making it an exciting time to join. The culture is collaborative, supportive and focused on continuous improvement, with a strong emphasis on delivering real business impact. What s on offer: £40,000 to £45,000 basic salary 10% annual bonus Comprehensive benefits package including healthcare, pension, life assurance and more 25 days holiday plus your birthday off Flexible working with remote options across the UK London HQ for those who enjoy office collaboration If you re looking to develop your data engineering skills in a high-growth SaaS environment, we d be keen to hear from you. Apply now to learn more.
Apr 29, 2026
Full time
Junior Data Engineer, Data Operations £40,000 to £45,000 Basic + 10% Bonus + Benefits London HQ Remote across the UK fine though We re working with a growing, international SaaS organisation that is expanding its Data Operations capability and looking to hire a Junior Data Engineer. This is an excellent opportunity for someone early in their data engineering career to gain hands-on experience in a modern, cloud-first environment. You ll play a key role in building and maintaining reliable data pipelines that support reporting, analytics and operational decision-making across the business. Working alongside experienced Data Engineers and a collaborative data team, you ll help develop scalable data processes, improve data quality, and contribute to well-governed datasets used by teams across the organisation. You ll also gain exposure to enterprise-level data platforms and best practices. The role will involve developing and maintaining data pipelines, transforming data using Python, SQL and PySpark , integrating data from various internal and external sources, and supporting day-to-day data operations. You ll also contribute to data quality initiatives, documentation, and continuous improvements to platform reliability. We re looking for candidates with 1 to 3 years experience in data engineering, analytics engineering or a similar field. You ll have solid Python and SQL skills, experience working with data pipelines, and an understanding of cloud-based storage such as Amazon S3. Experience with tools like Databricks, Delta Lake, or BI platforms such as Power BI or Tableau would be advantageous. This organisation operates globally and is continuing to invest heavily in its data capabilities, making it an exciting time to join. The culture is collaborative, supportive and focused on continuous improvement, with a strong emphasis on delivering real business impact. What s on offer: £40,000 to £45,000 basic salary 10% annual bonus Comprehensive benefits package including healthcare, pension, life assurance and more 25 days holiday plus your birthday off Flexible working with remote options across the UK London HQ for those who enjoy office collaboration If you re looking to develop your data engineering skills in a high-growth SaaS environment, we d be keen to hear from you. Apply now to learn more.
R Supply Chain Intern (Open)Location:Newport, DE (MEDAL) - Manufacturing - ProductionAir Liquide Global E&C Solutions is a technology partner of choice for the design, engineering and construction of leading-edge processing facilities and related infrastructures worldwide. We enable our customers to optimize the use of the planet's natural resources in order to provide clean and sustainable energy thanks to our people and their capability to innovate constantly. Through cutting edge innovation applied to our proprietary technology we contribute to the transformation of the energy industry and help to preserve & protect the atmosphere of our planet. Looking back on decades of operational expertise within the world leader in gases for industry, health and the environment, we develop creative, safe, reliable and competitive solutions for our customers, proposing a sustainable worldwide offer of best-in-class plants in a dynamically changing marketplace. Air Liquide's ambition is to be a leader in its industry, deliver long term performance and contribute to sustainability - with a strong commitment to climate change and energy transition at the heart of its strategy.Air Liquide is Hiring for a Supply Chain Intern in Newport, DE!At Air Liquide, we are committed to building a diverse and inclusive workplace that embraces the unique perspectives of our employees, our customers, patients, community stakeholders, and cultures across the world. We believe that a variety of backgrounds makes our team stronger and more innovative. We are looking for you! Pay: $24.00 - $30.00 per hour Length: 10 Week Internship Program Relocation: No Relocation will be provided for this positionThe Supply Chain department at ALAS manufacturing plant facilitates the flow of materials through data-driven inventory management and cross-functional coordination. Our team focuses on the following core functions: Operational Liaison: Acting as the primary interface between Procurement and Manufacturing to clarify material specifications and fulfillment needs. Inventory Control: Managing the end-to-end physical inventory and cycle count programs to ensure high levels of accuracy and reduce capital employed. Lean Implementation: Optimizing shop floor access and material flow through Kanban setups, location management, and warehouse storage solutions. Systems Management: Driving efficiency within Oracle ERP by maintaining item master data and streamlining manufacturing transaction processes. Data Analytics: Analyzing material transaction trends and variances to implement root cause corrective actions and minimize supply chain risks.This summer internship is designed for a Supply Chain student to gain hands-on experience in industrial inventory management and lean manufacturing. The intern will support the Supply Chain department in optimizing material flow, enhancing data accuracy within Oracle, and resolving storage constraints. Duties and Responsibilities Location Management: Assist in the implementation of RFID/Scanning Location Management systems for membrane tracking to ensure easy material location across the entire plant. Kanban and Oracle systems roll-out: Assist into the activation of ALERT Oracle module for work cells and re-align the Kanban for different plant areas, to improve inventory access on the shop floor, allowing operations to focus on production rather than material searching. Cycle count Project: Actively contribute to the preparation and execution of the cycle counts process, including count team coordination, hardware planning (scanners/computers), and data entry review. Required Education: Currently pursuing a Bachelor's degree in Supply Chain Management, Engineering, or a related field. Communication: Outstanding written and verbal communication skills for collaborating with Warehouse and Manufacturing teams. Technical Skills: Strong computer and analytical skills; familiarity with Microsoft Excel/Google Sheets. Safety: Demonstrates strong process and operational safety behavior at all times. Detail Oriented: Highly organized with a focus on data accuracy and process integrity. Preferred Interest in Lean Six Sigma methodologies or Kanban systems. Exposure to ERP systems (Oracle preferred). Ability to use analytical thinking to solve complex storage and logistics problems. The candidate must have valid unrestricted employment authorization in the U.S. and must not require visa sponsorship now or in the future. Our Differences make our Performance At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.A world leader in gases, technologies and services for Industry and Health. Through the passion and diversity of its people, Air Liquide leverages energy and environment transition, changes in healthcare and digitization, and delivers greater value to all its stakeholders. Join us for a stimulating experience: you'll find a world of learning and development opportunities where inventiveness is at the heart of what we do, in an open, collaborative and respectful environment. Discover what your professional journey at Air Liquide could be ! We want to ensure a safe experience for everyone interested in joining Air Liquide. Please be aware of fraudulent job offers that are circulating, falsely using the Air Liquide name and brand. These scams often involve individuals or organizations impersonating Air Liquide recruiters or employees through fake emails, social media, and websites. They may attempt to request personal information or, critically, ask for payment for various reasons like application fees, training, or visa processing. Please be advised that Air Liquide and our authorized recruitment partners will never ask you for money at any stage of the recruitment process. You may verify job postings through our official global at any time. If you receive a suspicious job offer or request for payment/sensitive data, we strongly advise that you do not respond or click on any links. We encourage you to verify the source carefully and only interact through our official channels. We appreciate your interest in Air Liquide and are committed to combating these fraudulent activities to protect job seekers. If you wish to report an incident, please contact us via this
Apr 29, 2026
Full time
R Supply Chain Intern (Open)Location:Newport, DE (MEDAL) - Manufacturing - ProductionAir Liquide Global E&C Solutions is a technology partner of choice for the design, engineering and construction of leading-edge processing facilities and related infrastructures worldwide. We enable our customers to optimize the use of the planet's natural resources in order to provide clean and sustainable energy thanks to our people and their capability to innovate constantly. Through cutting edge innovation applied to our proprietary technology we contribute to the transformation of the energy industry and help to preserve & protect the atmosphere of our planet. Looking back on decades of operational expertise within the world leader in gases for industry, health and the environment, we develop creative, safe, reliable and competitive solutions for our customers, proposing a sustainable worldwide offer of best-in-class plants in a dynamically changing marketplace. Air Liquide's ambition is to be a leader in its industry, deliver long term performance and contribute to sustainability - with a strong commitment to climate change and energy transition at the heart of its strategy.Air Liquide is Hiring for a Supply Chain Intern in Newport, DE!At Air Liquide, we are committed to building a diverse and inclusive workplace that embraces the unique perspectives of our employees, our customers, patients, community stakeholders, and cultures across the world. We believe that a variety of backgrounds makes our team stronger and more innovative. We are looking for you! Pay: $24.00 - $30.00 per hour Length: 10 Week Internship Program Relocation: No Relocation will be provided for this positionThe Supply Chain department at ALAS manufacturing plant facilitates the flow of materials through data-driven inventory management and cross-functional coordination. Our team focuses on the following core functions: Operational Liaison: Acting as the primary interface between Procurement and Manufacturing to clarify material specifications and fulfillment needs. Inventory Control: Managing the end-to-end physical inventory and cycle count programs to ensure high levels of accuracy and reduce capital employed. Lean Implementation: Optimizing shop floor access and material flow through Kanban setups, location management, and warehouse storage solutions. Systems Management: Driving efficiency within Oracle ERP by maintaining item master data and streamlining manufacturing transaction processes. Data Analytics: Analyzing material transaction trends and variances to implement root cause corrective actions and minimize supply chain risks.This summer internship is designed for a Supply Chain student to gain hands-on experience in industrial inventory management and lean manufacturing. The intern will support the Supply Chain department in optimizing material flow, enhancing data accuracy within Oracle, and resolving storage constraints. Duties and Responsibilities Location Management: Assist in the implementation of RFID/Scanning Location Management systems for membrane tracking to ensure easy material location across the entire plant. Kanban and Oracle systems roll-out: Assist into the activation of ALERT Oracle module for work cells and re-align the Kanban for different plant areas, to improve inventory access on the shop floor, allowing operations to focus on production rather than material searching. Cycle count Project: Actively contribute to the preparation and execution of the cycle counts process, including count team coordination, hardware planning (scanners/computers), and data entry review. Required Education: Currently pursuing a Bachelor's degree in Supply Chain Management, Engineering, or a related field. Communication: Outstanding written and verbal communication skills for collaborating with Warehouse and Manufacturing teams. Technical Skills: Strong computer and analytical skills; familiarity with Microsoft Excel/Google Sheets. Safety: Demonstrates strong process and operational safety behavior at all times. Detail Oriented: Highly organized with a focus on data accuracy and process integrity. Preferred Interest in Lean Six Sigma methodologies or Kanban systems. Exposure to ERP systems (Oracle preferred). Ability to use analytical thinking to solve complex storage and logistics problems. The candidate must have valid unrestricted employment authorization in the U.S. and must not require visa sponsorship now or in the future. Our Differences make our Performance At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.A world leader in gases, technologies and services for Industry and Health. Through the passion and diversity of its people, Air Liquide leverages energy and environment transition, changes in healthcare and digitization, and delivers greater value to all its stakeholders. Join us for a stimulating experience: you'll find a world of learning and development opportunities where inventiveness is at the heart of what we do, in an open, collaborative and respectful environment. Discover what your professional journey at Air Liquide could be ! We want to ensure a safe experience for everyone interested in joining Air Liquide. Please be aware of fraudulent job offers that are circulating, falsely using the Air Liquide name and brand. These scams often involve individuals or organizations impersonating Air Liquide recruiters or employees through fake emails, social media, and websites. They may attempt to request personal information or, critically, ask for payment for various reasons like application fees, training, or visa processing. Please be advised that Air Liquide and our authorized recruitment partners will never ask you for money at any stage of the recruitment process. You may verify job postings through our official global at any time. If you receive a suspicious job offer or request for payment/sensitive data, we strongly advise that you do not respond or click on any links. We encourage you to verify the source carefully and only interact through our official channels. We appreciate your interest in Air Liquide and are committed to combating these fraudulent activities to protect job seekers. If you wish to report an incident, please contact us via this
Head of Data Engineering Asset Management Location: Manchester Working: 3 days onsite (Tues-Thurs) Salary: £130k + extensive package (TC circa £200k) The Role Leading multiple teams of Data, DataOps & MLOps Engineers within a global asset manager's European Data & Analytics function click apply for full job details
Apr 29, 2026
Full time
Head of Data Engineering Asset Management Location: Manchester Working: 3 days onsite (Tues-Thurs) Salary: £130k + extensive package (TC circa £200k) The Role Leading multiple teams of Data, DataOps & MLOps Engineers within a global asset manager's European Data & Analytics function click apply for full job details
You will be responsible for: Designing, implementing, and maintaining scalable data pipelines and ETL processes Developing and optimising databases and data storage solutions for structured and unstructured data Collaborating with data scientists and analysts to deliver reliable, high-quality data for analytics and reporting Ensuring data quality, integrity, and compliance with security and governance click apply for full job details
Apr 29, 2026
Full time
You will be responsible for: Designing, implementing, and maintaining scalable data pipelines and ETL processes Developing and optimising databases and data storage solutions for structured and unstructured data Collaborating with data scientists and analysts to deliver reliable, high-quality data for analytics and reporting Ensuring data quality, integrity, and compliance with security and governance click apply for full job details
Job Title: Data Engineer (LDW / BI & Analytics) Location: Telford, UK (2 days onsite Tuesday & Thursday) Duration:6 Months Contract Role Overview We are looking for an SC Cleared Data Engineer to join a high-impact, customer-facing development team click apply for full job details
Apr 29, 2026
Contractor
Job Title: Data Engineer (LDW / BI & Analytics) Location: Telford, UK (2 days onsite Tuesday & Thursday) Duration:6 Months Contract Role Overview We are looking for an SC Cleared Data Engineer to join a high-impact, customer-facing development team click apply for full job details
Are you passionate about turning data into actionable insight and driving transformation across a global business? At Specsavers, we're looking for a Data Business Analyst to join our team, a fantastic opportunity to work at the heart of Data projects and change initiatives that shape the future of customer experience. Imagine being the person who works closely with Data Product Managers, Data Modellers, Architects, Engineers, and Quality Analysts to define and prioritise the product backlog, build robust requirements, and create development ready user stories. You'll be hands on with data analysis, mapping source data landscapes, and collaborating with stakeholders to ensure solutions are fit for purpose and scalable for the long term. You'll thrive in this role if you're proactive, detail-oriented, and comfortable rolling up your sleeves to tackle challenges. Your strong SQL skills and ability to read and interpret engineering code (SQL, Python) will help you explore datasets, profile values, and understand how data is sourced, transformed, and loaded in pipelines. You'll be adept at conducting workshops, interviews, and prototyping sessions to elicit, clarify, and agree requirements, and you'll play a key role in user story elaboration, refinement, and user acceptance testing. What sets you apart is your ability to think conceptually, engage stakeholders, and translate complex business needs into clear, actionable data requirements. You'll bring experience working on data workstreams within large-scale enterprise transformation programmes, such as reporting & analytics, data migration, or MDM and you're comfortable with Agile frameworks, backlog management, and user story decomposition. If you're ready to make a real impact helping Specsavers deliver seamless customer experiences across online and in-store journeys, this is your chance. Join us as a Data Business Analyst and help shape the data foundations that support our mission to change lives through better sight and hearing.
Apr 29, 2026
Full time
Are you passionate about turning data into actionable insight and driving transformation across a global business? At Specsavers, we're looking for a Data Business Analyst to join our team, a fantastic opportunity to work at the heart of Data projects and change initiatives that shape the future of customer experience. Imagine being the person who works closely with Data Product Managers, Data Modellers, Architects, Engineers, and Quality Analysts to define and prioritise the product backlog, build robust requirements, and create development ready user stories. You'll be hands on with data analysis, mapping source data landscapes, and collaborating with stakeholders to ensure solutions are fit for purpose and scalable for the long term. You'll thrive in this role if you're proactive, detail-oriented, and comfortable rolling up your sleeves to tackle challenges. Your strong SQL skills and ability to read and interpret engineering code (SQL, Python) will help you explore datasets, profile values, and understand how data is sourced, transformed, and loaded in pipelines. You'll be adept at conducting workshops, interviews, and prototyping sessions to elicit, clarify, and agree requirements, and you'll play a key role in user story elaboration, refinement, and user acceptance testing. What sets you apart is your ability to think conceptually, engage stakeholders, and translate complex business needs into clear, actionable data requirements. You'll bring experience working on data workstreams within large-scale enterprise transformation programmes, such as reporting & analytics, data migration, or MDM and you're comfortable with Agile frameworks, backlog management, and user story decomposition. If you're ready to make a real impact helping Specsavers deliver seamless customer experiences across online and in-store journeys, this is your chance. Join us as a Data Business Analyst and help shape the data foundations that support our mission to change lives through better sight and hearing.
Overview We are seeking an Analyst to join a Chief of Staff team supporting a global Data Engineering function within a leading financial services organization. The team is responsible for enabling secure, scalable, and high-quality data access across the firm to support business decision-making, regulatory compliance, and advanced analytics. Data Engineering operates as part of the Core Engineering division, acting as the central platform for data publishing, governance, and consumption. The group partners closely with internal business units, technology teams, and external regulatory stakeholders to ensure data integrity, consistency, and accessibility across the enterprise. The Chief of Staff team plays a critical operational and strategic support role, working directly with senior leadership to drive execution across workforce management, governance, financial oversight, and internal communications. Key Responsibilities Workforce & Vendor Management Manage end-to-end onboarding and offboarding of employees and contingent workers through enterprise vendor management systems, ensuring compliance and operational efficiency Oversee contingent workforce governance, including approvals, staffing alignment, and budget tracking Coordinate internal and cross-departmental transfers of contingent workers to support optimal resource allocation Support background check tracking and onboarding readiness to ensure timely placement of contingent staff Maintain workforce allocation systems and ensure data accuracy for reporting and planning purposes Data & Systems Governance Maintain and perform regular quality checks on organizational hierarchy and reporting structures within internal systems Oversee parallel workforce and hierarchy management tools to ensure data consistency and integrity Support system hygiene initiatives to ensure accurate organizational mapping and reporting accuracy Financial Management Manage vendor invoicing and contingent workforce time tracking to ensure accurate billing and payment processing Support monthly accruals and expense reconciliation processes Assist in maintaining budget alignment across workforce and operational spend categories Program & Operational Support Partner with leadership on execution of key operational initiatives and governance programs Support remediation efforts related to audit findings and regulatory requirements Assist in workforce planning and organizational design initiatives Contribute to divisional reporting, dashboards, and management presentations Communications & Stakeholder Management Collaborate with multiple stakeholders across engineering, business, and operations teams Support internal communications and coordination across global teams Build strong working relationships with senior stakeholders and cross-functional partners Basic Qualifications 2-3 years of experience in financial services or a similarly analytical, data-driven environment Strong stakeholder management and interpersonal skills Excellent written and verbal communication abilities High attention to detail with strong organizational discipline Ability to manage multiple time-sensitive deliverables simultaneously Strong analytical and critical thinking skills with sound judgment Advanced proficiency in Microsoft Office (Excel and PowerPoint essential) Demonstrated ability to follow through on tasks from initiation to completion Collaborative mindset with the ability to work across diverse teams Self-starter with a proactive, results-oriented approach Preferred Qualifications Exposure to financial services products, operations, or technology environments Experience in business operations, technology strategy, or management consulting Familiarity with workforce management or vendor management systems Experience with project tracking tools such as JIRA Understanding of automated testing tools or quality assurance frameworks is a plus Additional Information This role is part of a high-impact Chief of Staff function supporting Data Engineering leadership. It requires strong operational discipline, structured thinking, and the ability to thrive in a fast-paced, regulated environment with competing priorities.
Apr 29, 2026
Seasonal
Overview We are seeking an Analyst to join a Chief of Staff team supporting a global Data Engineering function within a leading financial services organization. The team is responsible for enabling secure, scalable, and high-quality data access across the firm to support business decision-making, regulatory compliance, and advanced analytics. Data Engineering operates as part of the Core Engineering division, acting as the central platform for data publishing, governance, and consumption. The group partners closely with internal business units, technology teams, and external regulatory stakeholders to ensure data integrity, consistency, and accessibility across the enterprise. The Chief of Staff team plays a critical operational and strategic support role, working directly with senior leadership to drive execution across workforce management, governance, financial oversight, and internal communications. Key Responsibilities Workforce & Vendor Management Manage end-to-end onboarding and offboarding of employees and contingent workers through enterprise vendor management systems, ensuring compliance and operational efficiency Oversee contingent workforce governance, including approvals, staffing alignment, and budget tracking Coordinate internal and cross-departmental transfers of contingent workers to support optimal resource allocation Support background check tracking and onboarding readiness to ensure timely placement of contingent staff Maintain workforce allocation systems and ensure data accuracy for reporting and planning purposes Data & Systems Governance Maintain and perform regular quality checks on organizational hierarchy and reporting structures within internal systems Oversee parallel workforce and hierarchy management tools to ensure data consistency and integrity Support system hygiene initiatives to ensure accurate organizational mapping and reporting accuracy Financial Management Manage vendor invoicing and contingent workforce time tracking to ensure accurate billing and payment processing Support monthly accruals and expense reconciliation processes Assist in maintaining budget alignment across workforce and operational spend categories Program & Operational Support Partner with leadership on execution of key operational initiatives and governance programs Support remediation efforts related to audit findings and regulatory requirements Assist in workforce planning and organizational design initiatives Contribute to divisional reporting, dashboards, and management presentations Communications & Stakeholder Management Collaborate with multiple stakeholders across engineering, business, and operations teams Support internal communications and coordination across global teams Build strong working relationships with senior stakeholders and cross-functional partners Basic Qualifications 2-3 years of experience in financial services or a similarly analytical, data-driven environment Strong stakeholder management and interpersonal skills Excellent written and verbal communication abilities High attention to detail with strong organizational discipline Ability to manage multiple time-sensitive deliverables simultaneously Strong analytical and critical thinking skills with sound judgment Advanced proficiency in Microsoft Office (Excel and PowerPoint essential) Demonstrated ability to follow through on tasks from initiation to completion Collaborative mindset with the ability to work across diverse teams Self-starter with a proactive, results-oriented approach Preferred Qualifications Exposure to financial services products, operations, or technology environments Experience in business operations, technology strategy, or management consulting Familiarity with workforce management or vendor management systems Experience with project tracking tools such as JIRA Understanding of automated testing tools or quality assurance frameworks is a plus Additional Information This role is part of a high-impact Chief of Staff function supporting Data Engineering leadership. It requires strong operational discipline, structured thinking, and the ability to thrive in a fast-paced, regulated environment with competing priorities.
We're looking for a Data Platform Engineer with strong expertise in Microsoft Fabric and Terraform to build and scale a modern, cloud-native data platform. You'll focus on creating a highly automated environment where both infrastructure and data services are defined and deployed through code, enabling secure, scalable, and high-performance analytics click apply for full job details
Apr 29, 2026
Full time
We're looking for a Data Platform Engineer with strong expertise in Microsoft Fabric and Terraform to build and scale a modern, cloud-native data platform. You'll focus on creating a highly automated environment where both infrastructure and data services are defined and deployed through code, enabling secure, scalable, and high-performance analytics click apply for full job details
Data Developer Widnes, Cheshire - Hybrid Working £39,602 per annum Permanent, Full Time 37 hours per week The Data Developer plays a critical role at Halton Housing, a forward-thinking organisation managing over 7,000 homes with around 330 colleagues, where innovation and customers sit at the heart of everything we do. In this role, you'll enable the organisation to make confident, data-driven decisions by designing, developing, and maintaining high-quality data solutions that deliver trusted insight across the business. At Halton Housing, we believe in rewarding our people and supporting them to thrive, both professionally and personally. When you join us as a Data Developer, you'll benefit from a competitive and flexible package designed to support your wellbeing, development, and work-life balance. As part of the Data & Insight Team within the wider ICT Team, you'll be at the centre of how data is used to improve services and outcomes for customers. This is an exciting opportunity for a data professional who enjoys turning complex data into meaningful insight, ensuring data integrity, and building data products that genuinely influence decision-making. You'll collaborate closely with teams across Halton Housing, using data, analytics, and innovative thinking to solve real business problems, support excellent customer service, and help deliver our vision of Improving People's Lives. What You'll Do: Power BI; Coding DAX Measures and Dimensional Models. Developing & delivering visually compelling Power BI Dashboards & Reports to specification. Delivering data engineering solutions with Microsoft Fabric, SQL and Python. Developing & maintaining ETL pipeline solutions in Azure Data Factory, utilising Azure Data Lake & Azure Dev Ops. Providing second and third line support for Data Team and own allocated support tickets. Monitoring the Data Warehouse load and performance. Performing routine SQL Database Administration tasks. Providing high quality documentation on Data Engineering solutions & Insight Datasets. Developing and maintaining SSRS reports. What You'll Need: Demonstrable SQL experience (T-SQL, SSMS) with a good understanding of Data Warehousing concepts. Degree / professional qualification in a relevant business discipline and /or demonstrable experience in delivery in this area. Ability to follow defined processes and procedures in an accurate and consistent manner whilst monitoring data, identifying trends, problem solving and escalating where needed. Knowledge of Microsoft Fabric (desirable) Experience of working within a cloud computing environment (Azure preferable) Proven good customer service and communication skills (internal and external) demonstrating understanding and support whilst handling/resolving difficult situations or conflict. A good working knowledge and/or understanding of relevant legislation and regulation in IT. A good wider understanding of - and interest in - technology and trends. What You'll Get: 30 days' annual leave, plus bank holidays The option to buy or sell holiday (up to 5 days) to suit your lifestyle Gain Microsoft Fabric Electric Vehicle Salary Sacrifice Scheme Flexible and hybrid working, supporting a healthy work-life balance Supported training and development opportunities to help you grow your skills and career Health and Wellbeing Cash Plan A highly competitive pension scheme If you're looking for a role that's both varied and engaging-and one that will set you up for future success-this is the perfect opportunity! Apply today and become part of a forward-thinking organisation that truly does things differently. We may close this vacancy early if we receive a high number of applications, so we encourage you to apply as soon as possible. Closing date: To be confirmed Interview date: To be confirmed
Apr 29, 2026
Full time
Data Developer Widnes, Cheshire - Hybrid Working £39,602 per annum Permanent, Full Time 37 hours per week The Data Developer plays a critical role at Halton Housing, a forward-thinking organisation managing over 7,000 homes with around 330 colleagues, where innovation and customers sit at the heart of everything we do. In this role, you'll enable the organisation to make confident, data-driven decisions by designing, developing, and maintaining high-quality data solutions that deliver trusted insight across the business. At Halton Housing, we believe in rewarding our people and supporting them to thrive, both professionally and personally. When you join us as a Data Developer, you'll benefit from a competitive and flexible package designed to support your wellbeing, development, and work-life balance. As part of the Data & Insight Team within the wider ICT Team, you'll be at the centre of how data is used to improve services and outcomes for customers. This is an exciting opportunity for a data professional who enjoys turning complex data into meaningful insight, ensuring data integrity, and building data products that genuinely influence decision-making. You'll collaborate closely with teams across Halton Housing, using data, analytics, and innovative thinking to solve real business problems, support excellent customer service, and help deliver our vision of Improving People's Lives. What You'll Do: Power BI; Coding DAX Measures and Dimensional Models. Developing & delivering visually compelling Power BI Dashboards & Reports to specification. Delivering data engineering solutions with Microsoft Fabric, SQL and Python. Developing & maintaining ETL pipeline solutions in Azure Data Factory, utilising Azure Data Lake & Azure Dev Ops. Providing second and third line support for Data Team and own allocated support tickets. Monitoring the Data Warehouse load and performance. Performing routine SQL Database Administration tasks. Providing high quality documentation on Data Engineering solutions & Insight Datasets. Developing and maintaining SSRS reports. What You'll Need: Demonstrable SQL experience (T-SQL, SSMS) with a good understanding of Data Warehousing concepts. Degree / professional qualification in a relevant business discipline and /or demonstrable experience in delivery in this area. Ability to follow defined processes and procedures in an accurate and consistent manner whilst monitoring data, identifying trends, problem solving and escalating where needed. Knowledge of Microsoft Fabric (desirable) Experience of working within a cloud computing environment (Azure preferable) Proven good customer service and communication skills (internal and external) demonstrating understanding and support whilst handling/resolving difficult situations or conflict. A good working knowledge and/or understanding of relevant legislation and regulation in IT. A good wider understanding of - and interest in - technology and trends. What You'll Get: 30 days' annual leave, plus bank holidays The option to buy or sell holiday (up to 5 days) to suit your lifestyle Gain Microsoft Fabric Electric Vehicle Salary Sacrifice Scheme Flexible and hybrid working, supporting a healthy work-life balance Supported training and development opportunities to help you grow your skills and career Health and Wellbeing Cash Plan A highly competitive pension scheme If you're looking for a role that's both varied and engaging-and one that will set you up for future success-this is the perfect opportunity! Apply today and become part of a forward-thinking organisation that truly does things differently. We may close this vacancy early if we receive a high number of applications, so we encourage you to apply as soon as possible. Closing date: To be confirmed Interview date: To be confirmed
Purpose of the role To support the design, prototype and delivery of innovative, data-led products by combining market insight, advanced analytics and modern data platforms. Working in closely with Product Managers and Data Analysts, this role will convert data assets and models into scalable, commercially viable analytical insights, data visualisations and product features. The Product Innovation Analyst bridges commercial opportunity and technical feasibility, ensuring new products are designed with platform capabilities, data quality, performance and scalability in mind. Principal responsibilities Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processing Evaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer Intelligence Platform to unlock new product capabilities Drive product innovation from concept to launch, translating business and customer needs into technical product requirements and delivery specifications Lead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration with the Product Team Define and monitor technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs to optimise product performance Product Innovation & Technical Design responsibilities: Identify new product opportunities enabled by advanced analytics, machine learning and large-scale data processing Identify new usage of existing attributes and products to create more value in existing data Translate business and customer needs into technical product requirements Support rapid prototyping and proof-of-concept development using Databricks notebooks and analytics outputs Define product-level data structures, feature sets, scoring outputs and delivery formats in collaboration with the Product Team Product Launch & Performance responsibilities: Define technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs Support internal enablement by translating technical product detail into usable sales and client-facing materials Drive continuous optimisation using usage analytics, customer feedback and platform performance insights What success looks like in the role Clear, concise and insightful data analytics which enable sound business decisions based on fact Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client, sector, internal product need Cross functional collaboration to enable continued improvement of Sagacity's Product Suite through the delivery of robust data insights Ability to take accountability and ownership for client and internal deliverables Your efforts result in streamlined data analysis, product builds and reduced time to market Competencies and Behaviours 1 -3 years analytics / data science experience Practical knowledge of; Delta Lake architecture and versioned datasets, Data pipelines, orchestration and scheduling concepts Proficiency in analytical programming language such as python and/or SQL, with the ability to interrogate datasets and validate analytical outputs Experience designing data products using large-scale transactional, behavioural or marketing datasets Understanding of data modelling concepts (fact/dimension models, feature engineering, aggregations) Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigation Is curious, sceptical, inquisitive, suggests 'next steps' analysis and translates analytical findings to actionable insight Flexible, self-motivated, good under pressure, has a commitment to personal development Excellent communication skills, both written and verbal, with a willingness to engage and influence others Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial Able to travel throughout the UK Can be based at our London Office (min 2 days per week on site) Have the right to work in the UK
Apr 29, 2026
Full time
Purpose of the role To support the design, prototype and delivery of innovative, data-led products by combining market insight, advanced analytics and modern data platforms. Working in closely with Product Managers and Data Analysts, this role will convert data assets and models into scalable, commercially viable analytical insights, data visualisations and product features. The Product Innovation Analyst bridges commercial opportunity and technical feasibility, ensuring new products are designed with platform capabilities, data quality, performance and scalability in mind. Principal responsibilities Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processing Evaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer Intelligence Platform to unlock new product capabilities Drive product innovation from concept to launch, translating business and customer needs into technical product requirements and delivery specifications Lead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration with the Product Team Define and monitor technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs to optimise product performance Product Innovation & Technical Design responsibilities: Identify new product opportunities enabled by advanced analytics, machine learning and large-scale data processing Identify new usage of existing attributes and products to create more value in existing data Translate business and customer needs into technical product requirements Support rapid prototyping and proof-of-concept development using Databricks notebooks and analytics outputs Define product-level data structures, feature sets, scoring outputs and delivery formats in collaboration with the Product Team Product Launch & Performance responsibilities: Define technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs Support internal enablement by translating technical product detail into usable sales and client-facing materials Drive continuous optimisation using usage analytics, customer feedback and platform performance insights What success looks like in the role Clear, concise and insightful data analytics which enable sound business decisions based on fact Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client, sector, internal product need Cross functional collaboration to enable continued improvement of Sagacity's Product Suite through the delivery of robust data insights Ability to take accountability and ownership for client and internal deliverables Your efforts result in streamlined data analysis, product builds and reduced time to market Competencies and Behaviours 1 -3 years analytics / data science experience Practical knowledge of; Delta Lake architecture and versioned datasets, Data pipelines, orchestration and scheduling concepts Proficiency in analytical programming language such as python and/or SQL, with the ability to interrogate datasets and validate analytical outputs Experience designing data products using large-scale transactional, behavioural or marketing datasets Understanding of data modelling concepts (fact/dimension models, feature engineering, aggregations) Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigation Is curious, sceptical, inquisitive, suggests 'next steps' analysis and translates analytical findings to actionable insight Flexible, self-motivated, good under pressure, has a commitment to personal development Excellent communication skills, both written and verbal, with a willingness to engage and influence others Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial Able to travel throughout the UK Can be based at our London Office (min 2 days per week on site) Have the right to work in the UK
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 29, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Senior Design Researcher (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (2 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile Working in a multi-disciplinary design, product, and engineering team, you'll develop and lead the research strategy for a key area of our business. You'll also be supported by our wider Design Research and Analytics community. You'll be responsible for managing the research plan and roadmap for your service or product area. You'll deliver research to solve customer problems, unlock new opportunities, and guide what is created. You'll enjoy working on varied research across the product development lifecycle, from generative to evaluative research Key Responsibilities: Conduct qualitative and quantitative research to gather user insights and identify pain points. Facilitate usability testing and analyse results to recommend improvements. Conduct interviews and surveys to collect user feedback and preferences. Synthesize research findings and present actionable insights to stakeholders. Collaborate with cross-functional teams to integrate research into design processes. Test content to ensure clarity and effectiveness in communication. Influence stakeholders with compelling research narratives that guide product strategy. Contribute to projects centered around change, ensuring user perspectives are prioritized. Skills & Experience: Experience working closely with design and product teams to identify and prioritise the right research questions Able to create research roadmaps and plans to keep the team on track, helping set both short term objectives and strategic direction Deep qualitative research experience using techniques such as usability testing (moderated and unmoderated), concept testing, and depth interviews Synthesise insights in an impactful and actionable manner to generate a shared understanding of user needs and opportunities Able to communicate and influence wider business stakeholders with clarity and conciseness Experience combining qualitative and quantitative methods Ethnographic experience (such as contextual enquiry or diary studies) Experience triangulating research and data from different sources to tell compelling customer stories Experience with accessibility research and/or vulnerable customers Willingness to share your expertise and learn from others Proven experience as a design researcher in commercial environments Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Apr 29, 2026
Contractor
Senior Design Researcher (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (2 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile Working in a multi-disciplinary design, product, and engineering team, you'll develop and lead the research strategy for a key area of our business. You'll also be supported by our wider Design Research and Analytics community. You'll be responsible for managing the research plan and roadmap for your service or product area. You'll deliver research to solve customer problems, unlock new opportunities, and guide what is created. You'll enjoy working on varied research across the product development lifecycle, from generative to evaluative research Key Responsibilities: Conduct qualitative and quantitative research to gather user insights and identify pain points. Facilitate usability testing and analyse results to recommend improvements. Conduct interviews and surveys to collect user feedback and preferences. Synthesize research findings and present actionable insights to stakeholders. Collaborate with cross-functional teams to integrate research into design processes. Test content to ensure clarity and effectiveness in communication. Influence stakeholders with compelling research narratives that guide product strategy. Contribute to projects centered around change, ensuring user perspectives are prioritized. Skills & Experience: Experience working closely with design and product teams to identify and prioritise the right research questions Able to create research roadmaps and plans to keep the team on track, helping set both short term objectives and strategic direction Deep qualitative research experience using techniques such as usability testing (moderated and unmoderated), concept testing, and depth interviews Synthesise insights in an impactful and actionable manner to generate a shared understanding of user needs and opportunities Able to communicate and influence wider business stakeholders with clarity and conciseness Experience combining qualitative and quantitative methods Ethnographic experience (such as contextual enquiry or diary studies) Experience triangulating research and data from different sources to tell compelling customer stories Experience with accessibility research and/or vulnerable customers Willingness to share your expertise and learn from others Proven experience as a design researcher in commercial environments Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
From the Mariana Trench, the deepest point on earth, to surging shorelines and anywhere in-between, we make the impossible possible through our continuous passion for innovation. Our people design, engineer and manufacture technologies that are enabling our customers to discover, navigate, measure, detect and communicate in the toughest environment on earth: Our oceans.We've been actively developing the technology to make the oceans accessible for over 50 years and we're only just getting started At Sonardyne, we value different ways of thinking. Whether you think in code, patterns, systems, or steps, your unique perspective is important to us. We are looking for a motivated and detail-oriented Digital Marketing Apprentice to join our Marketing team at Blackbushe. This is an exciting opportunity to gain hands on experience across a wide range of digital marketing activities while working alongside experienced marketing professionals. You will play a key role in supporting marketing campaigns, maintaining digital platforms, analysing performance metrics, and contributing to internal and external communications. If you join, you will be: Supporting the team in maintaining, collating, analysing and reporting marketing metrics and KPIs across departments Assisting with the upkeep and optimisation (SEO) of the company website, including content updates and amendments Helping manage marketing technology platforms, including email campaigns, nurture campaigns, target lists and lead distribution Contributing to marketing communication campaigns and lead generation activities, including performance reporting Creating, scheduling and reporting on engaging social media content Supporting day to day marketing activities and ad hoc projects Assisting with internal communications, including coordinating corporate and product presentations Building strong working relationships across departments Keeping up to date with marketing best practice and sharing new ideas and improvements Ideally we are looking for: Good knowledge of Microsoft Office (including Excel) Strong attention to detail Demonstrates company values High levels of accuracy and quality in work Completed an Advanced Apprenticeship, OR Five GCSEs at grades 9-4 (A-C), including English and Maths It would be a bonus if you had: Basic Photoshop knowledge Understanding of reporting and analytics Experience or familiarity with: Salesforce or HubSpot CRM WordPress CMS Google Analytics Proactive, adaptable and willing to learn Good teamwork and relationship building skills What We Offer This apprenticeship is ideal for someone looking to start their career in digital marketing, develop practical skills, and gain valuable industry experience within a supportive team environment. If you are enthusiastic, organised and ready to learn, we would love to hear from you.
Apr 29, 2026
Full time
From the Mariana Trench, the deepest point on earth, to surging shorelines and anywhere in-between, we make the impossible possible through our continuous passion for innovation. Our people design, engineer and manufacture technologies that are enabling our customers to discover, navigate, measure, detect and communicate in the toughest environment on earth: Our oceans.We've been actively developing the technology to make the oceans accessible for over 50 years and we're only just getting started At Sonardyne, we value different ways of thinking. Whether you think in code, patterns, systems, or steps, your unique perspective is important to us. We are looking for a motivated and detail-oriented Digital Marketing Apprentice to join our Marketing team at Blackbushe. This is an exciting opportunity to gain hands on experience across a wide range of digital marketing activities while working alongside experienced marketing professionals. You will play a key role in supporting marketing campaigns, maintaining digital platforms, analysing performance metrics, and contributing to internal and external communications. If you join, you will be: Supporting the team in maintaining, collating, analysing and reporting marketing metrics and KPIs across departments Assisting with the upkeep and optimisation (SEO) of the company website, including content updates and amendments Helping manage marketing technology platforms, including email campaigns, nurture campaigns, target lists and lead distribution Contributing to marketing communication campaigns and lead generation activities, including performance reporting Creating, scheduling and reporting on engaging social media content Supporting day to day marketing activities and ad hoc projects Assisting with internal communications, including coordinating corporate and product presentations Building strong working relationships across departments Keeping up to date with marketing best practice and sharing new ideas and improvements Ideally we are looking for: Good knowledge of Microsoft Office (including Excel) Strong attention to detail Demonstrates company values High levels of accuracy and quality in work Completed an Advanced Apprenticeship, OR Five GCSEs at grades 9-4 (A-C), including English and Maths It would be a bonus if you had: Basic Photoshop knowledge Understanding of reporting and analytics Experience or familiarity with: Salesforce or HubSpot CRM WordPress CMS Google Analytics Proactive, adaptable and willing to learn Good teamwork and relationship building skills What We Offer This apprenticeship is ideal for someone looking to start their career in digital marketing, develop practical skills, and gain valuable industry experience within a supportive team environment. If you are enthusiastic, organised and ready to learn, we would love to hear from you.
Reporting Analyst - SQL - SSRS - Power BI We are working exclusively with our client who are based in the heart of Bristol. We have an open vacancy for a Reporting Analyst - SQL - SSRS - Power BI. The role is also HYBRID. ROLE SUMMARY Supporting the Reporting & Analytics Manager with the design and development of the BI platform and advanced analytics, ensuring it: Is trusted and fit for purpose Is scalable and performant Leverages contemporary advanced analytics capabilities and visualisations Provides simple and efficient BI self-service reporting Supports a single analytical view of our data and information Uses agreed and defined metrics Is built in line with our information management strategy and guiding principles Delivers business value through action oriented insights Ensures "explainability" fit for audit in a regulatory controlled environment Working as part of the Reporting & Analytics team in close collaboration with the Data Engineering team and business areas to take responsibility and accountability for collaborative design and build of end-user visualisations, reports, and ad-hoc analysis ensuring all required documentation is complete prior to release and all standards and best practices are adhered to. Taking a lead in driving the progression of advanced analytics capabilities and visualisations in step with technology changes and business needs. Supporting the Reporting & Analytics team through technical peer reviews and the end-user community by providing clear explanation of interpreting provided information. KEY SKILLS Passionate about data and information with a strong understanding of data architecture principles and information "story telling" in order to maximise the value of our raw data Technology agnostic and able to adapt with agility as we evolve our information estate and technology stack towards contemporary technologies which may comprise tools such as PowerBI, SSRS, Tableau, Cognos 11, Qlik, MicroStrategy, and cloud based services within Amazon AWS and/or Microsoft Azure Good understanding of SQL & DAX Highly adept at visualising information through good use of chart types best suited to the situation Demonstrable understanding of advanced analytics, including predictive, with supporting capabilities such as 'R', Python desirable Strong problem solving and planning skills with a "can do" attitude to manage and mitigate risks to maintain delivery commitments Knowledge of the insurance industry and working within regulated environments would be desirable Demonstrable knowledge of Kimball methodologies, MI standards and best practices and standards Knowledge of different data storage paradigms such as Kimball, Data Vault 2.0, Data Lakes, and beyond desirable Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Apr 29, 2026
Full time
Reporting Analyst - SQL - SSRS - Power BI We are working exclusively with our client who are based in the heart of Bristol. We have an open vacancy for a Reporting Analyst - SQL - SSRS - Power BI. The role is also HYBRID. ROLE SUMMARY Supporting the Reporting & Analytics Manager with the design and development of the BI platform and advanced analytics, ensuring it: Is trusted and fit for purpose Is scalable and performant Leverages contemporary advanced analytics capabilities and visualisations Provides simple and efficient BI self-service reporting Supports a single analytical view of our data and information Uses agreed and defined metrics Is built in line with our information management strategy and guiding principles Delivers business value through action oriented insights Ensures "explainability" fit for audit in a regulatory controlled environment Working as part of the Reporting & Analytics team in close collaboration with the Data Engineering team and business areas to take responsibility and accountability for collaborative design and build of end-user visualisations, reports, and ad-hoc analysis ensuring all required documentation is complete prior to release and all standards and best practices are adhered to. Taking a lead in driving the progression of advanced analytics capabilities and visualisations in step with technology changes and business needs. Supporting the Reporting & Analytics team through technical peer reviews and the end-user community by providing clear explanation of interpreting provided information. KEY SKILLS Passionate about data and information with a strong understanding of data architecture principles and information "story telling" in order to maximise the value of our raw data Technology agnostic and able to adapt with agility as we evolve our information estate and technology stack towards contemporary technologies which may comprise tools such as PowerBI, SSRS, Tableau, Cognos 11, Qlik, MicroStrategy, and cloud based services within Amazon AWS and/or Microsoft Azure Good understanding of SQL & DAX Highly adept at visualising information through good use of chart types best suited to the situation Demonstrable understanding of advanced analytics, including predictive, with supporting capabilities such as 'R', Python desirable Strong problem solving and planning skills with a "can do" attitude to manage and mitigate risks to maintain delivery commitments Knowledge of the insurance industry and working within regulated environments would be desirable Demonstrable knowledge of Kimball methodologies, MI standards and best practices and standards Knowledge of different data storage paradigms such as Kimball, Data Vault 2.0, Data Lakes, and beyond desirable Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Data Solutions Architect Salary: 90K - 100K London (Hybrid) At Data Idols, we are working with a large-scale, data-driven organisation investing heavily in its data platform, analytics and AI capabilities. They are now looking for a Data Solutions Architect to provide design and architecture guidance across a broad portfolio of data initiatives. The Opportunity This is a senior architecture role focused on shaping how data solutions are designed and delivered across a complex enterprise data estate. You will work closely with product owners, engineering leads, data teams and senior stakeholders to understand business requirements and translate them into clear, robust high-level designs for engineering teams to build. The role is not focused on hands-on delivery. Instead, you will be responsible for articulating solution designs, documenting key decisions, defining reusable patterns and ensuring consistency across a shared data platform. You will support a modern cloud data platform, with exposure to areas such as analytics, reporting, data science, AI use cases and increasingly real-time data capabilities. Skills and experience Strong experience designing secure, scalable data solutions in complex environments Experience working with Azure-based data platforms Experience with Databricks or similar modern data platforms Good understanding of data warehouse, data lake or lakehouse architectures If you are looking for a new challenge and want to help shape data solutions across a large-scale cloud data platform, please submit your CV for initial screening and further details. Data Solutions Architect
Apr 29, 2026
Full time
Data Solutions Architect Salary: 90K - 100K London (Hybrid) At Data Idols, we are working with a large-scale, data-driven organisation investing heavily in its data platform, analytics and AI capabilities. They are now looking for a Data Solutions Architect to provide design and architecture guidance across a broad portfolio of data initiatives. The Opportunity This is a senior architecture role focused on shaping how data solutions are designed and delivered across a complex enterprise data estate. You will work closely with product owners, engineering leads, data teams and senior stakeholders to understand business requirements and translate them into clear, robust high-level designs for engineering teams to build. The role is not focused on hands-on delivery. Instead, you will be responsible for articulating solution designs, documenting key decisions, defining reusable patterns and ensuring consistency across a shared data platform. You will support a modern cloud data platform, with exposure to areas such as analytics, reporting, data science, AI use cases and increasingly real-time data capabilities. Skills and experience Strong experience designing secure, scalable data solutions in complex environments Experience working with Azure-based data platforms Experience with Databricks or similar modern data platforms Good understanding of data warehouse, data lake or lakehouse architectures If you are looking for a new challenge and want to help shape data solutions across a large-scale cloud data platform, please submit your CV for initial screening and further details. Data Solutions Architect
Data Consultant / Senior Consultant Financial Crime & Analytics London (Shoreditch Hybrid 3 days on site) £36,000 £70,000 + Benefits The Opportunity Financial crime is a £100bn+ problem in the UKand this is your chance to help tackle it head-on. Were partnering with a high-growth consultancy at the forefront of fraud, AML, and financial crime analytics click apply for full job details
Apr 29, 2026
Full time
Data Consultant / Senior Consultant Financial Crime & Analytics London (Shoreditch Hybrid 3 days on site) £36,000 £70,000 + Benefits The Opportunity Financial crime is a £100bn+ problem in the UKand this is your chance to help tackle it head-on. Were partnering with a high-growth consultancy at the forefront of fraud, AML, and financial crime analytics click apply for full job details
