We're currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced "mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You'll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You'll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days' annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they're looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What's on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you're looking to make a real impact in a growing organisation and build modern, scalable data solutions, we'd love to hear from you!
01/05/2026
Full time
We're currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced "mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You'll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You'll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days' annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they're looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What's on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you're looking to make a real impact in a growing organisation and build modern, scalable data solutions, we'd love to hear from you!
An opportunity has arisen for a Senior Data Scientist to join a leading UK organisation undergoing a significant AI-led transformation. This role sits within a high-performing Data Science team focused on delivering advanced machine learning solutions that directly influence customer experience, product innovation and business strategy. This is a position for someone who wants to operate at the intersection of technical excellence, commercial impact and strategic delivery , working on complex, high-value AI initiatives. Key responsibilities Lead the end-to-end development of machine learning models, from concept through to production Design and deploy advanced solutions including recommender systems, generative AI and optimisation models Translate complex business challenges into scalable, data-driven solutions with measurable impact Own delivery of multiple strategic projects, managing priorities and stakeholders effectively Work closely with engineering teams to deploy models into production using modern MLOps practices Influence senior stakeholders, clearly communicating insights and driving adoption of AI solutions Contribute to the wider AI strategy, identifying new opportunities and driving innovation Mentor junior team members and support capability development across the function Ensure all solutions align with best practice in responsible AI, governance and risk management Key requirements Strong academic background in a quantitative or statistical discipline Extensive experience in data science, with a proven track record delivering business impact Advanced proficiency in Python and SQL Deep understanding of machine learning techniques including regression, classification and modern AI approaches Experience building and deploying production-grade models Strong stakeholder management skills, with the ability to engage both technical and non-technical audiences Experience leading projects and owning delivery across complex environments Desirable experience Exposure to generative AI, recommendation systems or reinforcement learning Experience working in regulated or customer-centric industries Familiarity with modern data platforms and MLOps tooling What's on offer Competitive base salary with performance-related bonus Strong pension contribution Comprehensive private healthcare and wellbeing benefits Flexible working environment Clear progression opportunities within a growing data and AI function This is a high-impact role within a business that is investing heavily in data and AI, offering the chance to shape how advanced analytics is applied at scale. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
01/05/2026
Full time
An opportunity has arisen for a Senior Data Scientist to join a leading UK organisation undergoing a significant AI-led transformation. This role sits within a high-performing Data Science team focused on delivering advanced machine learning solutions that directly influence customer experience, product innovation and business strategy. This is a position for someone who wants to operate at the intersection of technical excellence, commercial impact and strategic delivery , working on complex, high-value AI initiatives. Key responsibilities Lead the end-to-end development of machine learning models, from concept through to production Design and deploy advanced solutions including recommender systems, generative AI and optimisation models Translate complex business challenges into scalable, data-driven solutions with measurable impact Own delivery of multiple strategic projects, managing priorities and stakeholders effectively Work closely with engineering teams to deploy models into production using modern MLOps practices Influence senior stakeholders, clearly communicating insights and driving adoption of AI solutions Contribute to the wider AI strategy, identifying new opportunities and driving innovation Mentor junior team members and support capability development across the function Ensure all solutions align with best practice in responsible AI, governance and risk management Key requirements Strong academic background in a quantitative or statistical discipline Extensive experience in data science, with a proven track record delivering business impact Advanced proficiency in Python and SQL Deep understanding of machine learning techniques including regression, classification and modern AI approaches Experience building and deploying production-grade models Strong stakeholder management skills, with the ability to engage both technical and non-technical audiences Experience leading projects and owning delivery across complex environments Desirable experience Exposure to generative AI, recommendation systems or reinforcement learning Experience working in regulated or customer-centric industries Familiarity with modern data platforms and MLOps tooling What's on offer Competitive base salary with performance-related bonus Strong pension contribution Comprehensive private healthcare and wellbeing benefits Flexible working environment Clear progression opportunities within a growing data and AI function This is a high-impact role within a business that is investing heavily in data and AI, offering the chance to shape how advanced analytics is applied at scale. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
RK Accountancy, Finance and Business Support
Exeter, Devon
The Opportunity 10 month contractThe department is modernising the technology foundations that power weather and climate services used across government, science and industry.We're looking for an experienced Product Manager to help shape and improve the internal platforms that our developers, scientists and service teams rely on every day.You'll join Platform Technology - a part of the organisation responsible for shared, cross-cutting capabilities such as developer tools, APIs, data pipelines and infrastructure services.Your job is to make these platforms reliable, discoverable and enabling: reducing delivery friction, improving user experience, and helping downstream service teams ship faster and more safely.What You'll Do:- Support the development of a business case to invest in service enhancements and engagements with third party suppliers- Own the roadmap and backlog for one or more shared technology platforms and deliver to the agreed product vision.- Work with engineers, architects and delivery teams to deliver incremental improvements that make platforms easier to use and maintain.- Understand internal users - from developers to operations staff - and translate their needs into clear priorities.- Investigate the development of measurable service outcomes (adoption, usability, performance) and use data to track progress.- Balance short-term reliability with long-term sustainability and compliance.- Facilitate collaboration across technical and non-technical stakeholders; communicate trade-offs transparently.- Champion product-led and user informed, iterative ways of working in a complex, legacy / brownfield environment.What We're Looking For:- Proven experience managing developer infrastructure products and associated cloud technologies e.g. AWS, Azure, shared services.- Successfully managed commercial services and bought in services- Ability to apply and adapt Agile and Lean practices in the context of an engineering focused team.- Strong understanding of user-centred product development, championing the use of user centered design even when the "users" are other engineers.- Skilled at prioritising by outcome - e.g. using impact vs. effort or cost-of-delay approaches.- Confident working with cross-disciplinary teams and senior technical stakeholders.- Comfortable operating in environments with legacy systems, competing priorities and incomplete information.- Excellent communicator, can translate complex technical issues into clear decisions and trade-offs.You'll Thrive Here If You - Care about helping others deliver value - "product thinking for platforms."- Believe in outcomes over output and in learning through iteration.- Value sustainability over speed, preferring well-designed, reliable systems to quick fixes.- Enjoy bringing structure and clarity to technically challenging, interdependent environments.- Are collaborative, pragmatic and curious - a steady hand in a complex system. Kellan Group (including all of our brands, Berkeley Scott, RK and Quantica) are committed to promoting equal opportunities to people regardless of age, gender, religion, belief, race, sexuality or disability. We operate as an employment agency and employment business. You'll find a wide selection of vacancies on our websites
01/05/2026
Contractor
The Opportunity 10 month contractThe department is modernising the technology foundations that power weather and climate services used across government, science and industry.We're looking for an experienced Product Manager to help shape and improve the internal platforms that our developers, scientists and service teams rely on every day.You'll join Platform Technology - a part of the organisation responsible for shared, cross-cutting capabilities such as developer tools, APIs, data pipelines and infrastructure services.Your job is to make these platforms reliable, discoverable and enabling: reducing delivery friction, improving user experience, and helping downstream service teams ship faster and more safely.What You'll Do:- Support the development of a business case to invest in service enhancements and engagements with third party suppliers- Own the roadmap and backlog for one or more shared technology platforms and deliver to the agreed product vision.- Work with engineers, architects and delivery teams to deliver incremental improvements that make platforms easier to use and maintain.- Understand internal users - from developers to operations staff - and translate their needs into clear priorities.- Investigate the development of measurable service outcomes (adoption, usability, performance) and use data to track progress.- Balance short-term reliability with long-term sustainability and compliance.- Facilitate collaboration across technical and non-technical stakeholders; communicate trade-offs transparently.- Champion product-led and user informed, iterative ways of working in a complex, legacy / brownfield environment.What We're Looking For:- Proven experience managing developer infrastructure products and associated cloud technologies e.g. AWS, Azure, shared services.- Successfully managed commercial services and bought in services- Ability to apply and adapt Agile and Lean practices in the context of an engineering focused team.- Strong understanding of user-centred product development, championing the use of user centered design even when the "users" are other engineers.- Skilled at prioritising by outcome - e.g. using impact vs. effort or cost-of-delay approaches.- Confident working with cross-disciplinary teams and senior technical stakeholders.- Comfortable operating in environments with legacy systems, competing priorities and incomplete information.- Excellent communicator, can translate complex technical issues into clear decisions and trade-offs.You'll Thrive Here If You - Care about helping others deliver value - "product thinking for platforms."- Believe in outcomes over output and in learning through iteration.- Value sustainability over speed, preferring well-designed, reliable systems to quick fixes.- Enjoy bringing structure and clarity to technically challenging, interdependent environments.- Are collaborative, pragmatic and curious - a steady hand in a complex system. Kellan Group (including all of our brands, Berkeley Scott, RK and Quantica) are committed to promoting equal opportunities to people regardless of age, gender, religion, belief, race, sexuality or disability. We operate as an employment agency and employment business. You'll find a wide selection of vacancies on our websites
Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.
01/05/2026
Full time
Software Engineer (Junior-Senior) £50,000-£80,000+ Hybrid Defence Sector Ready to build software that makes a real-world impact? Join a high-performing engineering team delivering mission-critical solutions within the defence and national security space. You'll work on complex, high-stakes systems where reliability, performance, and security are paramount - contributing to technology that truly matters. This opportunity is open to engineers across Junior, Mid, and Senior levels , offering clear progression, exposure to cutting-edge technologies, and the chance to work alongside experienced engineers, data scientists, and domain experts. What You'll Do Design, develop, and maintain secure, high-performance software systems Write clean, scalable code in languages such as Python, C++, Java, or JavaScript Contribute to system architecture and technical decision-making (level dependent) Collaborate with cross-functional teams including engineering, data, and product Work on cloud-based and on-premise infrastructure (AWS / Azure / secure environments) Support CI/CD pipelines, testing, and deployment in regulated environments Ensure software meets strict security and compliance standards What We're Looking For STEM degree (Computer Science, Engineering, Mathematics, Physics, or similar) Experience level: Junior: Strong academic background + internships/personal projects Mid: Commercial experience delivering production-grade software Senior: Proven track record in system design, leadership, and delivery Proficiency in at least one core language: Python, C++, Java, or JavaScript Strong problem-solving skills and ability to work in complex environments Familiarity with Git, testing practices, and software development lifecycle Highly Desirable: Experience with cloud platforms (AWS, Azure) Exposure to DevOps practices (CI/CD, containerisation, infrastructure as code) Knowledge of secure software development or regulated industries Important Requirements Must be eligible for UK Security Clearance (SC/DV) Must be willing to work within the defence/national security sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career stability Apply Now If you're motivated by solving complex problems and want to build secure, high-impact systems, we'd love to hear from you.
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
30/04/2026
Contractor
Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems with quantifiable metrics for fairness, explainability, and compliance. This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Lead Data Scientist (SC Cleared) Location: Remote-working - Occasional visits to London office Rate: £650.00pd (Inside IR35) Security Clearance: SC Cleared (or eligibility to obtain SC clearance) Our central government customer is looking for an exceptional Lead Data Scientist to guide data-driven initiatives and deliver impactful solutions to complex challenges. You will lead a team of talented professionals, collaborate with cross-functional stakeholders, and use advanced analytics to shape policies and improve public services. Your expertise will drive the integration of cutting-edge technologies, ensuring innovation at the forefront of government strategies. Key Responsibilities Provide technical leadership and mentoring to a team of data scientists and analysts. Define and implement data science strategies aligned with organizational objectives. Lead the development of machine learning models and advanced statistical techniques to support policy-making and operational efficiency. Collaborate with senior stakeholders to understand their goals and translate them into actionable data projects. Oversee the design, deployment, and management of data pipelines and big data platforms. Develop data governance frameworks, ensuring ethical and secure handling of sensitive information. Identify emerging technologies and methodologies to enhance the organization's data science capabilities. Present key findings and recommendations through concise, impactful reports and visualizations for executive-level decision-makers. Required Skills Extensive experience as a Data Scientist, with a proven track record in leadership roles. Proficiency in programming languages such as Python, R, or SQL, and familiarity with data science libraries and frameworks. Strong expertise in statistical modelling, predictive analytics, and machine learning. In-depth understanding of data architecture and big data technologies (eg, Hadoop, Spark, AWS). Exceptional problem-solving skills and ability to think strategically. Outstanding communication abilities to convey technical concepts to non-technical stakeholders. Experience in managing cross-departmental or large-scale projects. If you are available and interested in this opportunity, please apply for further information. Please note due to high volumes of applications we are unable to contact every application. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values 'Honesty, Integrity and Pragmatism'. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.
30/04/2026
Contractor
Lead Data Scientist (SC Cleared) Location: Remote-working - Occasional visits to London office Rate: £650.00pd (Inside IR35) Security Clearance: SC Cleared (or eligibility to obtain SC clearance) Our central government customer is looking for an exceptional Lead Data Scientist to guide data-driven initiatives and deliver impactful solutions to complex challenges. You will lead a team of talented professionals, collaborate with cross-functional stakeholders, and use advanced analytics to shape policies and improve public services. Your expertise will drive the integration of cutting-edge technologies, ensuring innovation at the forefront of government strategies. Key Responsibilities Provide technical leadership and mentoring to a team of data scientists and analysts. Define and implement data science strategies aligned with organizational objectives. Lead the development of machine learning models and advanced statistical techniques to support policy-making and operational efficiency. Collaborate with senior stakeholders to understand their goals and translate them into actionable data projects. Oversee the design, deployment, and management of data pipelines and big data platforms. Develop data governance frameworks, ensuring ethical and secure handling of sensitive information. Identify emerging technologies and methodologies to enhance the organization's data science capabilities. Present key findings and recommendations through concise, impactful reports and visualizations for executive-level decision-makers. Required Skills Extensive experience as a Data Scientist, with a proven track record in leadership roles. Proficiency in programming languages such as Python, R, or SQL, and familiarity with data science libraries and frameworks. Strong expertise in statistical modelling, predictive analytics, and machine learning. In-depth understanding of data architecture and big data technologies (eg, Hadoop, Spark, AWS). Exceptional problem-solving skills and ability to think strategically. Outstanding communication abilities to convey technical concepts to non-technical stakeholders. Experience in managing cross-departmental or large-scale projects. If you are available and interested in this opportunity, please apply for further information. Please note due to high volumes of applications we are unable to contact every application. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values 'Honesty, Integrity and Pragmatism'. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.
Hays Specialist Recruitment Limited
West Drayton, Middlesex
Role Purpose The Data Analyst / Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focusses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines. Contract - 6 months (high possibility to extend further) Location - waterside (UB7 0GB) Hybrid - 2-3 days onsite Pay - Premium-level role; competitive rates (inside IR35) Key Responsibilities Discover, explore, and process data from various sources (relational databases, flat files such as CSV, YML, XLS), forming a deep understanding of content, limitations, and business relevance. Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases. Challenge data provenance and assumptions in legacy datasets, reframing against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust Partner closely with Data Scientists and Visualisation specialists to enable advanced analytics. Support the adoption of MRO AI Solutions within BA operational workflows by ensuring insights are actionable, timely, and well-embedded in decision-making processes. Design, build, and optimise data pipelines for ingestion, transformation, and storage. Ensure data quality, integrity, and security controls are applied across systems. Apply cloud and data-engineering best practices pragmatically to ensure solutions scale where needed across OpCos, without over-engineering Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability. Required Skills & Experience Core Data Analytical Capabilities Strong experience in data analysis within a product or operational environment, with demonstrable impact on decision-making Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases Comfortable working independently and communicating with non-technical stakeholders Supporting Data Engineering Capabilities Solid understanding of data modelling concepts and API-driven data integration to influence pipeline design Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages. Practical expertise in Python, SQL, and modern ETL or orchestration frameworks. (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) (Preferred) Hands-on experience with cloud platforms, ideally AWS Consulting-Level Competencies Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value. Ability to design enterprise-grade data solutions under tight timelines. Strong stakeholder engagement and solution-oriented mindset. Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one. Ability to implement standards and frameworks for scalable data solutions across multiple operating companies. Familiarity with airline or logistics data domains is a plus. Location & Travel Initial co-location with client teams in London is essential to ensure close collaboration. Candidates must also be prepared to occasionally travel internationally during later stages to facilitate group-wide deployment. Compensation Premium-level role; competitive rates aligned with UK consultancy benchmarks. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
30/04/2026
Contractor
Role Purpose The Data Analyst / Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focusses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines. Contract - 6 months (high possibility to extend further) Location - waterside (UB7 0GB) Hybrid - 2-3 days onsite Pay - Premium-level role; competitive rates (inside IR35) Key Responsibilities Discover, explore, and process data from various sources (relational databases, flat files such as CSV, YML, XLS), forming a deep understanding of content, limitations, and business relevance. Identify, investigate, and clearly articulate data quality, completeness, and consistency issues, including their downstream impact on analytics and AI use cases. Challenge data provenance and assumptions in legacy datasets, reframing against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust Partner closely with Data Scientists and Visualisation specialists to enable advanced analytics. Support the adoption of MRO AI Solutions within BA operational workflows by ensuring insights are actionable, timely, and well-embedded in decision-making processes. Design, build, and optimise data pipelines for ingestion, transformation, and storage. Ensure data quality, integrity, and security controls are applied across systems. Apply cloud and data-engineering best practices pragmatically to ensure solutions scale where needed across OpCos, without over-engineering Design data architectures and pipelines that support multi-OpCo deployment, ensuring modularity and interoperability. Required Skills & Experience Core Data Analytical Capabilities Strong experience in data analysis within a product or operational environment, with demonstrable impact on decision-making Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation Proven ability to understand legacy datasets/pipelines and to evaluate their fitness for new use cases Comfortable working independently and communicating with non-technical stakeholders Supporting Data Engineering Capabilities Solid understanding of data modelling concepts and API-driven data integration to influence pipeline design Proven experience in developing, testing, and deploying data solutions into production environments, ensuring reliability, scalability, and maintainability beyond proof-of-concept or prototype stages. Practical expertise in Python, SQL, and modern ETL or orchestration frameworks. (Preferred) Skills in data visualisation (PowerBI, Tableau, and/or other dashboarding tools) (Preferred) Hands-on experience with cloud platforms, ideally AWS Consulting-Level Competencies Significant experience in similar roles, with a proven ability to integrate quickly into new teams and deliver immediate value. Ability to design enterprise-grade data solutions under tight timelines. Strong stakeholder engagement and solution-oriented mindset. Track record of creating high-impact outcomes and driving stakeholder satisfaction from day one. Ability to implement standards and frameworks for scalable data solutions across multiple operating companies. Familiarity with airline or logistics data domains is a plus. Location & Travel Initial co-location with client teams in London is essential to ensure close collaboration. Candidates must also be prepared to occasionally travel internationally during later stages to facilitate group-wide deployment. Compensation Premium-level role; competitive rates aligned with UK consultancy benchmarks. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Job Title : Senior Data Quality Analyst Target Start Date: Q2 2026 Contract Type: Permanent, Full Time Salary Range: £65,000 - £70,000 Location: Eastleigh, Hybrid (1x week) Closing Date for applications: 7th May Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you'll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation. Main Responsibilities as Senior Data Quality Analyst: Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems Develop data profiling, reporting and monitoring solutions using SQL and Python Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers Champion the value of data quality through governance forums, stakeholder engagement and guidance materials Support delivery of the strategic data quality roadmap and key governance outcomes Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services Skills and experience you need as Senior Data Quality Analyst: Strong experience implementing data quality processes and governance frameworks within complex data environments Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation Experience working with modern cloud data platforms, particularly Databricks Experience profiling datasets and defining data quality rules, controls and monitoring approaches Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI Qualifications : DAMA CDMP (Certified Data Management Professional) or equivalent. Recognised Data Quality Specialist certification or training. Desirable: Experience in the insurance or financial services sector. Exposure to data migration or transformation programmes. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruit
30/04/2026
Full time
Job Title : Senior Data Quality Analyst Target Start Date: Q2 2026 Contract Type: Permanent, Full Time Salary Range: £65,000 - £70,000 Location: Eastleigh, Hybrid (1x week) Closing Date for applications: 7th May Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you'll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation. Main Responsibilities as Senior Data Quality Analyst: Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems Develop data profiling, reporting and monitoring solutions using SQL and Python Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers Champion the value of data quality through governance forums, stakeholder engagement and guidance materials Support delivery of the strategic data quality roadmap and key governance outcomes Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services Skills and experience you need as Senior Data Quality Analyst: Strong experience implementing data quality processes and governance frameworks within complex data environments Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation Experience working with modern cloud data platforms, particularly Databricks Experience profiling datasets and defining data quality rules, controls and monitoring approaches Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI Qualifications : DAMA CDMP (Certified Data Management Professional) or equivalent. Recognised Data Quality Specialist certification or training. Desirable: Experience in the insurance or financial services sector. Exposure to data migration or transformation programmes. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruit
BREEDON GROUP PLC is a leading construction materials group operating from over 400 sites across the UK, Ireland and US. We are growing! At Breedon we have an opportunity to join our Data & Analytics Team with an exciting plan and long-term vision. We are seeking an experienced Data Engineer, with skills in Microsoft Azure and SQL, to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture. Key Responsibilities As we set out on the journey of moving towards a data led organisation, we have identified the need for an individual to transform our data management capabilities, implementing and maintaining a new Azure data platform which will enable our ambitions to become a data driven business. We are looking for an experienced individual who can support in the design and implementation of the data platform strategy and architecture that aligns with business objectives and building robust data pipelines. This will include the provision of a platform for analysts, data scientists and engineers, providing them with the data and an environment from which they can fulfil their roles. By investing in our data platform, we will transform the way we work, making us more effective, efficient and profitable for the future. We are looking to exceed the requirements set out by our stakeholders. Skills, Knowledge & Expertise Experience and knowledge: Proven experience in data engineering and cloud data platform development, with a strong focus on Microsoft Azure Demonstrated track record of designing, building, and maintaining end-to-end data pipelines using Azure-native technologies, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and/or Databricks. Strong foundation in data modelling and data warehousing concepts (star/snowflake schemas, SCD2, Dimensions/Facts) Proficient in SQL and Python, with hands-on experience using PySpark, Spark SQL, and/or Pandas. Experience in technical documentation of migration processes, data mappings, data quality checks, and testing outcomes. Ability to work closely with business stakeholders, translating business and technical requirements into effective data transformation and modelling solutions Exposure to DevOps and CI/CD practices including source control, automated deployments and environment promotion. (desirable) Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable) Working Knowledge of other Azure Integration tools like Azure Functions, Azure Logic Apps, API Management, Service Bus, Event Grid (desirable). Experience working with semi-structured data formats such as JSON and XML (desirable) Skills: Tenacious and curious nature that enables uncovering data availability and data quality constraints early in the process Problem solving - the ability to identify creative solutions to overcome problems Ability to impart knowledge and offer options to colleagues across the group Working with multiple data sources at one time delivering solutions that enable insights into complex data sets Personal Attributes: Ability to work to tight deadlines Ability to think and act purposefully and methodically A partnership approach to working with a variety of stakeholders Ability to keep it simple and to make it happen Thirst for continuous improvement Strong communication and engagement - ability to communicate calmly under pressure Positive and open outlook Job Benefits 25 days holiday plus bank holidays Contributory Pension Scheme Free on-site Parking Holiday Buy Scheme Volunteer Scheme Share Save Scheme Life Assurance Enhanced Maternity, Adoption & Paternity Scheme Health & Wellbeing Initiatives Discount Scheme
30/04/2026
Full time
BREEDON GROUP PLC is a leading construction materials group operating from over 400 sites across the UK, Ireland and US. We are growing! At Breedon we have an opportunity to join our Data & Analytics Team with an exciting plan and long-term vision. We are seeking an experienced Data Engineer, with skills in Microsoft Azure and SQL, to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture. Key Responsibilities As we set out on the journey of moving towards a data led organisation, we have identified the need for an individual to transform our data management capabilities, implementing and maintaining a new Azure data platform which will enable our ambitions to become a data driven business. We are looking for an experienced individual who can support in the design and implementation of the data platform strategy and architecture that aligns with business objectives and building robust data pipelines. This will include the provision of a platform for analysts, data scientists and engineers, providing them with the data and an environment from which they can fulfil their roles. By investing in our data platform, we will transform the way we work, making us more effective, efficient and profitable for the future. We are looking to exceed the requirements set out by our stakeholders. Skills, Knowledge & Expertise Experience and knowledge: Proven experience in data engineering and cloud data platform development, with a strong focus on Microsoft Azure Demonstrated track record of designing, building, and maintaining end-to-end data pipelines using Azure-native technologies, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and/or Databricks. Strong foundation in data modelling and data warehousing concepts (star/snowflake schemas, SCD2, Dimensions/Facts) Proficient in SQL and Python, with hands-on experience using PySpark, Spark SQL, and/or Pandas. Experience in technical documentation of migration processes, data mappings, data quality checks, and testing outcomes. Ability to work closely with business stakeholders, translating business and technical requirements into effective data transformation and modelling solutions Exposure to DevOps and CI/CD practices including source control, automated deployments and environment promotion. (desirable) Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable) Working Knowledge of other Azure Integration tools like Azure Functions, Azure Logic Apps, API Management, Service Bus, Event Grid (desirable). Experience working with semi-structured data formats such as JSON and XML (desirable) Skills: Tenacious and curious nature that enables uncovering data availability and data quality constraints early in the process Problem solving - the ability to identify creative solutions to overcome problems Ability to impart knowledge and offer options to colleagues across the group Working with multiple data sources at one time delivering solutions that enable insights into complex data sets Personal Attributes: Ability to work to tight deadlines Ability to think and act purposefully and methodically A partnership approach to working with a variety of stakeholders Ability to keep it simple and to make it happen Thirst for continuous improvement Strong communication and engagement - ability to communicate calmly under pressure Positive and open outlook Job Benefits 25 days holiday plus bank holidays Contributory Pension Scheme Free on-site Parking Holiday Buy Scheme Volunteer Scheme Share Save Scheme Life Assurance Enhanced Maternity, Adoption & Paternity Scheme Health & Wellbeing Initiatives Discount Scheme
DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.
30/04/2026
Full time
DevOps Engineer Senior or Mid Level Role: DevOps Engineer or Senior DevOps Engineer (Flexible Seniority) Security Clearance: Current DV Clearance Required (eDV Eligibility Essential) Location: Central London (Hybrid - Maximum 3 days in office) Salary: 50,000 - 85,000 (D.O.E) I am currently partnering with an elite technical consultancy that operates at the mission-critical intersection of AI, Data Science, and National Security . My client is looking for a DV-cleared DevOps specialist to join a division dedicated to solving high-stakes challenges that drive genuine societal change. This is a rare opportunity for a cleared professional to step out of "legacy" environments and work with a modern tech stack-including AI infrastructure and cloud-native automation -within a culture that offers a maximum 3-day office presence. The Choice is Yours: Engineer or Senior? My client prioritizes the right mindset and clearance level over a specific number of years on a CV. They are open to meeting candidates at two levels: Engineer ( 50k - 65k): You'll be the engine room of the deployment cycle-building robust CI/CD pipelines, automating AWS environments, and ensuring high-availability for complex AI solutions. Senior Engineer ( 65k - 85k): You will take a "player-coach" approach-architecting bespoke infrastructure, mentoring rising talent, and challenging existing orthodoxies to shape the firm's long-term engineering roadmap. The Tech Challenge Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive Operational Excellence: Act as the pivotal link between technical delivery and mission-critical requirements, ensuring solutions are robust, compliant, and cutting-edge. What You'll Bring To be successful in this process, you will need: Clearance: You must currently hold DV Clearance and be eligible for eDV . Technical Foundations: Proven experience with AWS, Docker, and Git. Infrastructure as Code: A solid grip on Terraform and/or Kubernetes. Agile Mindset: You thrive in fast-paced environments and can navigate change effectively. Software Awareness: Knowledge of the dev lifecycle (TypeScript, Node.js, or SQL) is a major advantage. Apply now for a confidential discussion regarding the role, the client, and their 2026 project roadmap.
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
29/04/2026
Full time
Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.
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)
29/04/2026
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)
Content Designer-AI Specialist About the role We are seeking a highly experienced Content Designer-AI Specialist to join our client, who has their finger on the pulse of emergingAI trends to help us create content that is discoverable, scalable, and effective across multiple markets. In this role, you'll shape how content is created, structured, governed, and delivered in an AI-driven environment. You will work closely with engineering, product, data science, and research teams to build content that is intuitive for users and legible to AI systems. You'll also use AI tools to increase efficiency, quality, and consistency across content operations. Content Designers at client are full stack, meaning you'll be responsible both for designing content and for authoring/managing it in our CMS. Tell me more, tell me more Our client is currently looking for a new recruit in joining their team, please read on! You can also ask our friendly recruitment team any questions you may have about the role, between 8:30am-5:30pm Monday to Friday. Shifts: Monday - Friday (37.5 hours per week) Key responsibilities Define AI-related content standards: Define metadata, taxonomies, and schemas that support AI retrieval, RAG pipelines, and vector search. Design and document content standards for conversational, generative, and AI-driven UX patterns. Partner with CMS teams to maintain scalable content models optimized for automation and machine understanding. Design modular, atomic content that can be composed, repurposed, or personalized by AI systems. Lead on personalisation: Support business initiatives to explore how personalisation can increase product conversion rates. Explore AI integrations with testing tools like Kameleoon to drive data-driven personalisation experimentation. Enhance content creation: Build and test AI-powered writing workflows that use AI tools (LLMs, copilots, automation platforms) to accelerate writing, editing, summarization, localization, and content transformation, while maintaining quality and compliance. Create repeatable patterns, templates, and frameworks that AI can use to generate high-quality, on-brand content. Define prompt strategies and content rules that ensure safe, accurate, and brand-aligned AI outputs. Run experiments that compare human, AI-assisted, and hybrid content approaches. Establish quality and safety criteria for AI outputs, including tone, accuracy, bias checks, and fallback behavior. Must Have Skills PORTFOLIO REQUIRED: Please include a link to case studies/examples from previous clients that demonstrate the impact you've made to businesses by using AI to support content creation 7+ years in Content Design, UX Writing, or Content Strategy. Strong hands-on experience using LLMs/AI tools for content creation and workflow optimization. Ability to design prompts, templates, and structured content formats AI can reliably use. Experience writing for AI-driven products (assistants, generators, intelligent flows). Experience with headless CMS and API-driven content systems. Understanding of responsible AI, bias mitigation, safe content design, metadata, taxonomies, schema, and structured content models. Ability to balance human oversight with AI automation. Strong cross-functional collaboration with engineers, data scientists, and researchers. Nice-to-haves Experience with RAG systems, vector databases, or knowledge graph design. Familiarity with prompt evaluation frameworks and model assessment. Basic understanding of machine learning concepts. What success looks like AI is consistently used to improve content velocity, quality, and labor efficiency. Human + AI hybrid workflows are documented, scalable, and safe. Product content and AI-generated content feel seamless, trustworthy, and on-brand. Structured content systems improve retrieval, search, personalization, and generative quality. The organization develops clear guidelines and governance for AI-assisted content creation. Measurable improvements in user experience, content performance, and operational ROI. What's in it for you? - Our client loves to reward their people for doing a great job. This is a 6 months contract. A day rate, in-scope of IR35, either via a Hays approved umbrella company or via Hays PAYE This role provides a remote working access from the comforts of your own home and only going to our state-of-the-art office in London Victoria 2 days per week. Next Steps Once you've applied, one of our friendly recruitment consultants will give you a call and talk you through the screening process. If your application is successful, you'll be involved in a live virtual interview with one of our client's hiring managers to get to know you better. We look forward to speaking to you!
29/04/2026
Contractor
Content Designer-AI Specialist About the role We are seeking a highly experienced Content Designer-AI Specialist to join our client, who has their finger on the pulse of emergingAI trends to help us create content that is discoverable, scalable, and effective across multiple markets. In this role, you'll shape how content is created, structured, governed, and delivered in an AI-driven environment. You will work closely with engineering, product, data science, and research teams to build content that is intuitive for users and legible to AI systems. You'll also use AI tools to increase efficiency, quality, and consistency across content operations. Content Designers at client are full stack, meaning you'll be responsible both for designing content and for authoring/managing it in our CMS. Tell me more, tell me more Our client is currently looking for a new recruit in joining their team, please read on! You can also ask our friendly recruitment team any questions you may have about the role, between 8:30am-5:30pm Monday to Friday. Shifts: Monday - Friday (37.5 hours per week) Key responsibilities Define AI-related content standards: Define metadata, taxonomies, and schemas that support AI retrieval, RAG pipelines, and vector search. Design and document content standards for conversational, generative, and AI-driven UX patterns. Partner with CMS teams to maintain scalable content models optimized for automation and machine understanding. Design modular, atomic content that can be composed, repurposed, or personalized by AI systems. Lead on personalisation: Support business initiatives to explore how personalisation can increase product conversion rates. Explore AI integrations with testing tools like Kameleoon to drive data-driven personalisation experimentation. Enhance content creation: Build and test AI-powered writing workflows that use AI tools (LLMs, copilots, automation platforms) to accelerate writing, editing, summarization, localization, and content transformation, while maintaining quality and compliance. Create repeatable patterns, templates, and frameworks that AI can use to generate high-quality, on-brand content. Define prompt strategies and content rules that ensure safe, accurate, and brand-aligned AI outputs. Run experiments that compare human, AI-assisted, and hybrid content approaches. Establish quality and safety criteria for AI outputs, including tone, accuracy, bias checks, and fallback behavior. Must Have Skills PORTFOLIO REQUIRED: Please include a link to case studies/examples from previous clients that demonstrate the impact you've made to businesses by using AI to support content creation 7+ years in Content Design, UX Writing, or Content Strategy. Strong hands-on experience using LLMs/AI tools for content creation and workflow optimization. Ability to design prompts, templates, and structured content formats AI can reliably use. Experience writing for AI-driven products (assistants, generators, intelligent flows). Experience with headless CMS and API-driven content systems. Understanding of responsible AI, bias mitigation, safe content design, metadata, taxonomies, schema, and structured content models. Ability to balance human oversight with AI automation. Strong cross-functional collaboration with engineers, data scientists, and researchers. Nice-to-haves Experience with RAG systems, vector databases, or knowledge graph design. Familiarity with prompt evaluation frameworks and model assessment. Basic understanding of machine learning concepts. What success looks like AI is consistently used to improve content velocity, quality, and labor efficiency. Human + AI hybrid workflows are documented, scalable, and safe. Product content and AI-generated content feel seamless, trustworthy, and on-brand. Structured content systems improve retrieval, search, personalization, and generative quality. The organization develops clear guidelines and governance for AI-assisted content creation. Measurable improvements in user experience, content performance, and operational ROI. What's in it for you? - Our client loves to reward their people for doing a great job. This is a 6 months contract. A day rate, in-scope of IR35, either via a Hays approved umbrella company or via Hays PAYE This role provides a remote working access from the comforts of your own home and only going to our state-of-the-art office in London Victoria 2 days per week. Next Steps Once you've applied, one of our friendly recruitment consultants will give you a call and talk you through the screening process. If your application is successful, you'll be involved in a live virtual interview with one of our client's hiring managers to get to know you better. We look forward to speaking to you!
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
29/04/2026
Full time
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Junior Software Engineer Location: Office based, Whiteley PO15 7AF Salary: Competitive, depending on experience Contract: Full Time, Permanent Benefits: 27 days holiday (increasing 1 day each year), Flexible working hours, Share options, Company pension, Cycle to Work Scheme, Private Dental care About the company: iFAST Diagnostics is a medical device company that has developed a game-changing, rapid antimicrobial susceptibility test, that will enable the right antibiotic treatment for all patients with bacterial infections. Currently, these tests take 48-72 hours, but iFAST's tests are 10x faster giving full quantitative and qualitative results in under 3 hours from a positive blood culture or bacterial isolate. Job Role: We are seeking a Software Engineer or Computer Scientist to join our team as we roll out our instruments in the UK, having just received our UKCA approval for the first product. You will design, implement and test a variety of software including middleware, firmware and algorithm development which are integral to our novel medical diagnostic product Responsibilities: • Development of software for our current and future instruments, including algorithm development, processing code and middleware. • Writing code and algorithms in accordance with good Software practise Experience of relevant standards and medical device regulations would be beneficial (e.g. ISO 13485, ISO 9001 ISO 14971 and IEC 62304.) • Development of test plans and procedures, conducting and accurately documenting the tests at unit, sub-system and system level. • Working closely with internal and external stakeholders e.g. production, service, sales teams and suppliers. Knowledge, Skills & Experience: • Have experience of software development for medical devices or similar within an ISO regulated environment and be able to work to associated regulations such as IEC 62304. • Be able to work efficiently with source code management tools. • Be familiar with IEC 62304 compliant software development processes and standards to produce well documented, maintainable, and test-driven code. • Understand machine learning concepts and be able to choose appropriate techniques for a given task and dataset, including supervised learning. • Have a strong mathematical and statistical background and be able to apply this to algorithm development. • Have experience of writing software for controlling electromechanical equipment, ideally in C/C++, Python, MATLAB or PLC code. • Hold a (first or 2:1) degree in a relevant discipline. • Need to be able to work under minimal supervision with a flexible attitude and be capable of solving problems and working to an agreed timescale to deliver on your projects. If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.
28/04/2026
Full time
Junior Software Engineer Location: Office based, Whiteley PO15 7AF Salary: Competitive, depending on experience Contract: Full Time, Permanent Benefits: 27 days holiday (increasing 1 day each year), Flexible working hours, Share options, Company pension, Cycle to Work Scheme, Private Dental care About the company: iFAST Diagnostics is a medical device company that has developed a game-changing, rapid antimicrobial susceptibility test, that will enable the right antibiotic treatment for all patients with bacterial infections. Currently, these tests take 48-72 hours, but iFAST's tests are 10x faster giving full quantitative and qualitative results in under 3 hours from a positive blood culture or bacterial isolate. Job Role: We are seeking a Software Engineer or Computer Scientist to join our team as we roll out our instruments in the UK, having just received our UKCA approval for the first product. You will design, implement and test a variety of software including middleware, firmware and algorithm development which are integral to our novel medical diagnostic product Responsibilities: • Development of software for our current and future instruments, including algorithm development, processing code and middleware. • Writing code and algorithms in accordance with good Software practise Experience of relevant standards and medical device regulations would be beneficial (e.g. ISO 13485, ISO 9001 ISO 14971 and IEC 62304.) • Development of test plans and procedures, conducting and accurately documenting the tests at unit, sub-system and system level. • Working closely with internal and external stakeholders e.g. production, service, sales teams and suppliers. Knowledge, Skills & Experience: • Have experience of software development for medical devices or similar within an ISO regulated environment and be able to work to associated regulations such as IEC 62304. • Be able to work efficiently with source code management tools. • Be familiar with IEC 62304 compliant software development processes and standards to produce well documented, maintainable, and test-driven code. • Understand machine learning concepts and be able to choose appropriate techniques for a given task and dataset, including supervised learning. • Have a strong mathematical and statistical background and be able to apply this to algorithm development. • Have experience of writing software for controlling electromechanical equipment, ideally in C/C++, Python, MATLAB or PLC code. • Hold a (first or 2:1) degree in a relevant discipline. • Need to be able to work under minimal supervision with a flexible attitude and be capable of solving problems and working to an agreed timescale to deliver on your projects. If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.
Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out
24/04/2026
Full time
Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out
Data Engineer for a major offshore wind project in The United Kingdom Responsibilities Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources. Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture. Work within clients existing security framework to establish compliant connectivity to operational data sources. Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL. Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. Contribute to technical documentation and ensure pipelines are maintainable and transferable. Stay current on Databricks and Azure platform developments relevant to the stack. Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. Professional certifications in Azure, Databricks preferred Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. 4-7 years of hands-on data engineering experience in a cloud environment. Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent). Proven ability to implement Medallion architecture or equivalent layered data modelling patterns. Experience with REST API ingestion and integration of business systems (ERP, finance tools). Experience in a contractor or project-based delivery model preferred. Exposure to OT/SCADA environments or energy sector data. Exposure to MLOps workflows or collaboration with data science teams.
24/04/2026
Contractor
Data Engineer for a major offshore wind project in The United Kingdom Responsibilities Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources. Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture. Work within clients existing security framework to establish compliant connectivity to operational data sources. Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL. Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. Contribute to technical documentation and ensure pipelines are maintainable and transferable. Stay current on Databricks and Azure platform developments relevant to the stack. Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. Professional certifications in Azure, Databricks preferred Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. 4-7 years of hands-on data engineering experience in a cloud environment. Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent). Proven ability to implement Medallion architecture or equivalent layered data modelling patterns. Experience with REST API ingestion and integration of business systems (ERP, finance tools). Experience in a contractor or project-based delivery model preferred. Exposure to OT/SCADA environments or energy sector data. Exposure to MLOps workflows or collaboration with data science teams.
We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they re looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What s on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!
23/04/2026
Full time
We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they re looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What s on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!
Job Title: Process Chemist Department: Production & Supply Location: Grangemouth Manufacturing Centre, Earl's Road, Grangemouth (STG) Positions Available: 2 Pay Rate: 17.62 - 24.04 per hour (dependent on seniority, skills, and experience) Overview We are seeking Process Chemists (Research Scientist 3 level) to support a special project within a manufacturing and process development environment. This role will focus on laboratory-based process development, optimisation, and technical problem-solving to support manufacturing operations and supply activities. Key Responsibilities Process Development & Optimisation Plan and execute laboratory work to develop, test, and optimise new and existing manufacturing processes. Ensure processes meet agreed technical, quality, and performance targets. Technical Expertise & Support Provide expert process chemistry input to Process Development, Supply Chain, and project teams. Support the preparation and execution of development plans and manufacturing trials. Problem Solving Proactively advise and support manufacturing and development teams in resolving process issues. Identify and implement opportunities for continuous improvement. Safety, Compliance & Quality Carry out all activities in strict compliance with site, company, and regulatory requirements. Promote and continuously improve safe working practices. Data Management & Reporting Ensure accurate storage and management of experimental and project data. Prepare clear, high-quality technical reports to document experimental work and outcomes. Skills & Experience Essential Significant experience in process development chemistry , including: Data analysis (statistics and experimental design) Scale-up activities Manufacturing support Strong hands-on laboratory and analytical experience. Excellent problem-solving skills with the ability to analyse complex technical challenges. Key Capabilities Strong verbal, written, and presentation skills, with the ability to communicate effectively to varied audiences. Ability to build strong internal networks and contribute positively within cross-functional teams. Strong physico-chemical understanding and ability to apply theory to practical process development, using specialist data analysis tools. Education Honours Degree (or equivalent) in Chemistry is essential. A PhD is advantageous. Several years' experience in a Process Chemistry role is expected Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
23/04/2026
Contractor
Job Title: Process Chemist Department: Production & Supply Location: Grangemouth Manufacturing Centre, Earl's Road, Grangemouth (STG) Positions Available: 2 Pay Rate: 17.62 - 24.04 per hour (dependent on seniority, skills, and experience) Overview We are seeking Process Chemists (Research Scientist 3 level) to support a special project within a manufacturing and process development environment. This role will focus on laboratory-based process development, optimisation, and technical problem-solving to support manufacturing operations and supply activities. Key Responsibilities Process Development & Optimisation Plan and execute laboratory work to develop, test, and optimise new and existing manufacturing processes. Ensure processes meet agreed technical, quality, and performance targets. Technical Expertise & Support Provide expert process chemistry input to Process Development, Supply Chain, and project teams. Support the preparation and execution of development plans and manufacturing trials. Problem Solving Proactively advise and support manufacturing and development teams in resolving process issues. Identify and implement opportunities for continuous improvement. Safety, Compliance & Quality Carry out all activities in strict compliance with site, company, and regulatory requirements. Promote and continuously improve safe working practices. Data Management & Reporting Ensure accurate storage and management of experimental and project data. Prepare clear, high-quality technical reports to document experimental work and outcomes. Skills & Experience Essential Significant experience in process development chemistry , including: Data analysis (statistics and experimental design) Scale-up activities Manufacturing support Strong hands-on laboratory and analytical experience. Excellent problem-solving skills with the ability to analyse complex technical challenges. Key Capabilities Strong verbal, written, and presentation skills, with the ability to communicate effectively to varied audiences. Ability to build strong internal networks and contribute positively within cross-functional teams. Strong physico-chemical understanding and ability to apply theory to practical process development, using specialist data analysis tools. Education Honours Degree (or equivalent) in Chemistry is essential. A PhD is advantageous. Several years' experience in a Process Chemistry role is expected Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they re looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What s on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!
23/04/2026
Full time
We re currently partnering with a forward-thinking, technology-driven organisation that has recently secured significant investment and is now looking to expand its data capability with the addition of a talented Data Engineer / Data Scientist. This is an excellent opportunity for either an experienced mid-level" Data Engineer with a few years under their belt, looking to step up into a more hands-on, impactful role. With elements of Data Science in the role too, you may be a Data Scientist, looking for a more hands on Data wrangling / production coding environment opportunity, or vice-versa. You ll be instrumental in shaping how the business uses data - moving from manual, ad-hoc processes to scalable, production-ready solutions. The Role: You ll work at the heart of a growing data function, building robust pipelines and enabling advanced analytics within a modern Azure-based environment. This is a highly technical, hands-on role with real ownership and visibility across the business. Benefits include: - 25 days annual leave, Birthday off, Life assurance, Health & Dental plans, pension scheme & more! - £55K Basic Salary + Bonus Key responsibilities include: - Developing and maintaining scalable data pipelines using Python - Automating manual Excel/VBA workflows into reliable, production-grade systems - Working with large datasets using Spark and Azure (Databricks/Synapse) - Supporting data modelling and analytics use cases (Crossing over to more Data Science driven work) - Driving best practices including Git, CI/CD, and code reviews - Collaborating with stakeholders to deliver actionable data solutions What they re looking for: - Strong Python and SQL skills - Experience or exposure to Spark, big data tools, or cloud platforms (ideally Azure) What s on offer: - The chance to join a business at an exciting stage of growth following recent investment - A collaborative and supportive team environment - Clear opportunities for development and progression - Hybrid working - Our HQ is in the South West (Exeter area!) but we have a lot of flexibility to consider remote work. 1-2 days per month in the office maybe? We can talk about this. If you re looking to make a real impact in a growing organisation and build modern, scalable data solutions, we d love to hear from you!
