Lead PHP Developer - PHP Laravel/Symfony/CodeIgniter; HTML, CSS, SQL/MySQL, AWS inc AI Search; Javascript Vue.js, React.js; Full Stack/Full Lice Cycle, Professional Services/Finance Systems. Permanent, London (Hybrid 2/3), £130k - £150k (On Experience) +Benefits Lead PHP Developer/Senior Web Developer/Team Lead required by global professional services company. Working on both internal systems integrating with 3rd party systems as well as customer facing web-based systems built in PHP and associated frameworks, you will lead development initiatives within the full life cycle. Working with an internationally dispersed team the Lead PHP Developer/Senior Web Developer will: Work with both Project Managers and Data Scientists to define, manage and deliver projects Play a lead role in the architecture and design of web-based systems Develop code within the full life cycle: >>>DevelopmentTestingDeploymentRefactor Develop integrations with internal and external system via APIs Undertake code reviews across PHP, Laravel, Symfony, CodeIgniter, Go/Golang (to a lesser degree), SQL/MySQL, HTML, CSS and Javascript (inc React.js and Vue.js) Architect, build, and deploy scalable, cloud-native, AI-powered data-driven products in AWS Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines Lead and develop team members across software, data, platform, and AI We are open to applications from across industry and varying levels of experience in terms of leadership and project delivery; any experience working within Agile/Scrum would be beneficial. You will however: Possess Senior level, hands-on PHP development experience with both raw OOPHP and at least one main contemporary framework such as Laravel/Symfony, CodeIgniter etc Work within the full stack of web development inc PHP, Javascript, HTML, CSS Be confident in use of various Javascript Frameworks inc Vue.js, React.js (or others) Possess strong database design skills for web-based systems utilising SQL/MySQL Be comfortable deploying enterprise applications within the AWS environment Apply microservices architecture, database design, and rigorous security standards Possess experience working with internal AI platforms as well as (ideally) AWS AI Search Demonstrate experience working within the full life cycle from design to delivery Be capable of leading diverse teams across development, DevOps, AI, Data Science This is an excellent opportunity to join a business at an exciting time of international development and play a key role in the future of its core business systems. Excellent benefits and flexible Hybrid (2 days in office) working conditions offered.
Jun 25, 2026
Full time
Lead PHP Developer - PHP Laravel/Symfony/CodeIgniter; HTML, CSS, SQL/MySQL, AWS inc AI Search; Javascript Vue.js, React.js; Full Stack/Full Lice Cycle, Professional Services/Finance Systems. Permanent, London (Hybrid 2/3), £130k - £150k (On Experience) +Benefits Lead PHP Developer/Senior Web Developer/Team Lead required by global professional services company. Working on both internal systems integrating with 3rd party systems as well as customer facing web-based systems built in PHP and associated frameworks, you will lead development initiatives within the full life cycle. Working with an internationally dispersed team the Lead PHP Developer/Senior Web Developer will: Work with both Project Managers and Data Scientists to define, manage and deliver projects Play a lead role in the architecture and design of web-based systems Develop code within the full life cycle: >>>DevelopmentTestingDeploymentRefactor Develop integrations with internal and external system via APIs Undertake code reviews across PHP, Laravel, Symfony, CodeIgniter, Go/Golang (to a lesser degree), SQL/MySQL, HTML, CSS and Javascript (inc React.js and Vue.js) Architect, build, and deploy scalable, cloud-native, AI-powered data-driven products in AWS Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines Lead and develop team members across software, data, platform, and AI We are open to applications from across industry and varying levels of experience in terms of leadership and project delivery; any experience working within Agile/Scrum would be beneficial. You will however: Possess Senior level, hands-on PHP development experience with both raw OOPHP and at least one main contemporary framework such as Laravel/Symfony, CodeIgniter etc Work within the full stack of web development inc PHP, Javascript, HTML, CSS Be confident in use of various Javascript Frameworks inc Vue.js, React.js (or others) Possess strong database design skills for web-based systems utilising SQL/MySQL Be comfortable deploying enterprise applications within the AWS environment Apply microservices architecture, database design, and rigorous security standards Possess experience working with internal AI platforms as well as (ideally) AWS AI Search Demonstrate experience working within the full life cycle from design to delivery Be capable of leading diverse teams across development, DevOps, AI, Data Science This is an excellent opportunity to join a business at an exciting time of international development and play a key role in the future of its core business systems. Excellent benefits and flexible Hybrid (2 days in office) working conditions offered.
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. This is a unique opportunity for an experienced Lead Data Scientist to join a small, high-impact innovation team, working directly with executive leadership. You will take ownership of the most challenging technical problems, from data modelling and forecasting through to production deployment of predictive analytics solutions in a regulated financial services environment. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Key Responsibilities Partner with data engineering teams to extract, cleanse, and consolidate large customer datasets into modelling-ready environments. Develop predictive models for use within regulated financial services and credit risk environments. Own the full data science life cycle, including: Exploratory Data Analysis (EDA) Feature engineering and selection Model development and validation Calibration and performance monitoring Build forecasting models, simulations, and stress-testing frameworks to support risk and product decisions. Maintain fully auditable, version-controlled, and reproducible modelling workflows. Collaborate with product stakeholders to rapidly transform concepts into scalable data products. Contribute to model governance frameworks and ensure compliance with regulatory requirements. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. If you're passionate about turning complex financial data into meaningful products and insights, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jun 25, 2026
Full time
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. This is a unique opportunity for an experienced Lead Data Scientist to join a small, high-impact innovation team, working directly with executive leadership. You will take ownership of the most challenging technical problems, from data modelling and forecasting through to production deployment of predictive analytics solutions in a regulated financial services environment. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Key Responsibilities Partner with data engineering teams to extract, cleanse, and consolidate large customer datasets into modelling-ready environments. Develop predictive models for use within regulated financial services and credit risk environments. Own the full data science life cycle, including: Exploratory Data Analysis (EDA) Feature engineering and selection Model development and validation Calibration and performance monitoring Build forecasting models, simulations, and stress-testing frameworks to support risk and product decisions. Maintain fully auditable, version-controlled, and reproducible modelling workflows. Collaborate with product stakeholders to rapidly transform concepts into scalable data products. Contribute to model governance frameworks and ensure compliance with regulatory requirements. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. If you're passionate about turning complex financial data into meaningful products and insights, we'd love to hear from you. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jun 25, 2026
Full time
Lead Data Scientist - Credit Modelling & Data Products My client is building a next-generation data and analytics capability using large-scale financial datasets spanning millions of records. Their goal is to transform complex data into predictive insights, industry intelligence, and innovative data products that create real business value. As Lead Data Scientist, you will be responsible for designing, building, and governing predictive models that support data-driven products and strategic decision-making. You will work closely with engineering and product teams to transform raw data into robust, auditable, and commercially valuable solutions. Skills & Experience Technical Expertise Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL . Hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Experience using Git and reproducible development practices. Strong understanding of data pipelines, data quality, and analytics engineering principles. Credit Modelling & Predictive Analytics Proven experience conducting rigorous exploratory data analysis and feature engineering. Experience building predictive models in regulated financial services environments, ideally within: Retail banking Commercial banking Asset securitisation Credit management Expertise developing and deploying credit risk models, including: Probability of Default (PD) models Scorecards Risk segmentation models Experience evaluating and implementing challenger models such as XGBoost while balancing explainability and regulatory requirements. Strong understanding of model performance metrics including AUC, Gini, KS, calibration, and business impact measurement. Experience deploying production-ready models with monitoring, retraining triggers, and controls against issues such as target leakage. Governance & Regulatory Knowledge Experience operating within model risk governance frameworks, including documentation, validation, and audit requirements. Strong understanding of GDPR and automated decision-making considerations. Awareness of emerging AI regulations, including the EU AI Act and related governance requirements. Knowledge of security-by-design principles when working with sensitive financial and personal data. Why Join Us? Opportunity to shape and build a new data products capability from the ground up. Direct exposure to senior leadership and strategic decision-making. Work on complex, high-value datasets and industry-leading predictive analytics challenges. Join a collaborative environment that values innovation, ownership, and impact. Competitive salary and benefits package with flexible hybrid working. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Data Science Consultant Senior Consultant Managing Consultant Data Science & AI Consultancy (Customer Experience Focus) Location: London (Hybrid - minimum 2 days per week in the office) Salary: Competitive & Negotiable DOE Reference: J13095 Shape the Future of Customer-Focused AI We're working with a leading Data Science & AI consultancy that's helping some of the world's best-known organisations unlock the value of data and artificial intelligence to create exceptional customer experiences. With opportunities available at Consultant, Senior Consultant and Managing Consultant level, this is an exciting opportunity to join a collaborative, innovative and fast-growing team delivering cutting-edge AI, machine learning and data science solutions across a broad range of industries. You'll work alongside talented consultants, data scientists and AI specialists, solving complex business challenges while helping clients turn data into meaningful commercial outcomes. What You'll Be Doing Depending on your level, you'll be responsible for: Designing, building and evaluating Machine Learning, Generative AI and Large Language Model (LLM) solutions Delivering AI and data science projects from discovery and proof of concept through to production Applying advanced analytics to solve customer, marketing, digital and commercial challenges Working closely with clients and cross-functional teams to understand business problems and deliver impactful solutions Presenting insights and recommendations to technical and non-technical stakeholders Mentoring junior consultants and leading project workstreams (Senior/Managing Consultant level) What We're Looking For We're keen to hear from candidates with experience in some or all of the following: Commercial experience in completing end to end projects in Data Science, Machine Learning and AI Hands-on experience developing or evaluating Generative AI and Large Language Models (LLMs) Customer analytics, marketing analytics, web analytics, product analytics or commercial analytics experience Strong Python programming skills Experience with cloud platforms for Data Science and Machine Learning Knowledge of Power BI, Tableau or other data visualisation tools Understanding of ethical AI principles and responsible AI development Strong communication and stakeholder management skills A collaborative approach with a passion for solving complex business problems Project leadership and people management experience for Senior and Managing Consultant positions Desirable Experience Experience within any of the following sectors would be advantageous, although by no means essential: Consumer Products & Retail Energy Utilities Telecommunications Public Sector Why Apply? This consultancy offers a genuinely collaborative and inclusive culture where you'll have the opportunity to work on some of the latest developments in AI, machine learning and customer analytics. Whether you're looking to deepen your expertise in Generative AI, work with leading clients, or take the next step into consulting leadership, you'll be supported to grow your career while delivering meaningful, real-world impact. If you're passionate about using Data Science and AI to create smarter, more human customer experiences, we'd love to hear from you. Apply today or get in touch for a confidential discussion.
Jun 25, 2026
Full time
Data Science Consultant Senior Consultant Managing Consultant Data Science & AI Consultancy (Customer Experience Focus) Location: London (Hybrid - minimum 2 days per week in the office) Salary: Competitive & Negotiable DOE Reference: J13095 Shape the Future of Customer-Focused AI We're working with a leading Data Science & AI consultancy that's helping some of the world's best-known organisations unlock the value of data and artificial intelligence to create exceptional customer experiences. With opportunities available at Consultant, Senior Consultant and Managing Consultant level, this is an exciting opportunity to join a collaborative, innovative and fast-growing team delivering cutting-edge AI, machine learning and data science solutions across a broad range of industries. You'll work alongside talented consultants, data scientists and AI specialists, solving complex business challenges while helping clients turn data into meaningful commercial outcomes. What You'll Be Doing Depending on your level, you'll be responsible for: Designing, building and evaluating Machine Learning, Generative AI and Large Language Model (LLM) solutions Delivering AI and data science projects from discovery and proof of concept through to production Applying advanced analytics to solve customer, marketing, digital and commercial challenges Working closely with clients and cross-functional teams to understand business problems and deliver impactful solutions Presenting insights and recommendations to technical and non-technical stakeholders Mentoring junior consultants and leading project workstreams (Senior/Managing Consultant level) What We're Looking For We're keen to hear from candidates with experience in some or all of the following: Commercial experience in completing end to end projects in Data Science, Machine Learning and AI Hands-on experience developing or evaluating Generative AI and Large Language Models (LLMs) Customer analytics, marketing analytics, web analytics, product analytics or commercial analytics experience Strong Python programming skills Experience with cloud platforms for Data Science and Machine Learning Knowledge of Power BI, Tableau or other data visualisation tools Understanding of ethical AI principles and responsible AI development Strong communication and stakeholder management skills A collaborative approach with a passion for solving complex business problems Project leadership and people management experience for Senior and Managing Consultant positions Desirable Experience Experience within any of the following sectors would be advantageous, although by no means essential: Consumer Products & Retail Energy Utilities Telecommunications Public Sector Why Apply? This consultancy offers a genuinely collaborative and inclusive culture where you'll have the opportunity to work on some of the latest developments in AI, machine learning and customer analytics. Whether you're looking to deepen your expertise in Generative AI, work with leading clients, or take the next step into consulting leadership, you'll be supported to grow your career while delivering meaningful, real-world impact. If you're passionate about using Data Science and AI to create smarter, more human customer experiences, we'd love to hear from you. Apply today or get in touch for a confidential discussion.
Senior Data Engineer Job Type: Full-time Salary Range: 45k - 60k Location: Hybrid working model with office days in Guildford or Lewes Join a leading public sector organisation as a Senior Data Engineer. This role offers the opportunity to significantly impact by leading the modernisation of data systems and ensuring community safety through high-quality data. Day-to-Day Responsibilities: Lead the modernisation of our client's data warehouse and implement Lakehouse architectures. Design, build, and optimise a secure, scalable cloud data platform within the Microsoft Fabric ecosystem. Architect and optimise high-performance, scalable data pipelines using SQL, Python, and Fabric Data Factory. Collaborate with business stakeholders, architects, analysts, and data scientists to deliver impactful data products. Serve as a technical leader-mentoring junior data engineers, driving best practices, and enhancing platform performance. Conduct monitoring, troubleshooting, root cause analysis, and performance optimisation of legacy data issues. Required Skills & Qualifications: Strong experience in delivering cloud data solutions, preferably in Microsoft Fabric or Azure. Experience with other platforms like AWS, Snowflake, or Databricks is also beneficial. Hands-on expertise with Data Factory (Fabric or Azure), notebooks (Python, PySpark), advanced SQL, and robust data modelling and performance optimisation skills. Proven track record in building scalable data pipelines and implementing modern architectures such as Medallion. Familiarity with CI/CD, Git, Azure DevOps, and API-based integrations. Excellent stakeholder engagement skills with the ability to translate business needs into technical solutions. Leadership capabilities with a proactive, solution-focused mindset. Nice to have: Experience with legacy technologies such as Oracle, SQL Server, SSIS, SAP Data Services, T-SQL, or PL/SQL. Benefits: Flexible working policies including job shares and part-time options. Agile working environment allowing management of your own diary and potential home working. Career progression opportunities. Contributory pension scheme. Generous annual leave allowance. Discounts for everyday spend, on-site gyms, and a range of sports clubs. Generous and supportive parental leave. Financial and mental wellbeing guidance and support. Discounted contributory healthcare scheme. If you are passionate about using data to drive safety and efficiency, and enjoy solving complex challenges in a dynamic environment, apply to join us as a Senior Data Engineer. Your work will have a real-world impact, helping to keep communities safe and secure. NB - there is a security check for this role requiring applicants to have been resident in the UK for at least the last five years To apply for this Senior Data Engineer position, please submit your CV today
Jun 25, 2026
Full time
Senior Data Engineer Job Type: Full-time Salary Range: 45k - 60k Location: Hybrid working model with office days in Guildford or Lewes Join a leading public sector organisation as a Senior Data Engineer. This role offers the opportunity to significantly impact by leading the modernisation of data systems and ensuring community safety through high-quality data. Day-to-Day Responsibilities: Lead the modernisation of our client's data warehouse and implement Lakehouse architectures. Design, build, and optimise a secure, scalable cloud data platform within the Microsoft Fabric ecosystem. Architect and optimise high-performance, scalable data pipelines using SQL, Python, and Fabric Data Factory. Collaborate with business stakeholders, architects, analysts, and data scientists to deliver impactful data products. Serve as a technical leader-mentoring junior data engineers, driving best practices, and enhancing platform performance. Conduct monitoring, troubleshooting, root cause analysis, and performance optimisation of legacy data issues. Required Skills & Qualifications: Strong experience in delivering cloud data solutions, preferably in Microsoft Fabric or Azure. Experience with other platforms like AWS, Snowflake, or Databricks is also beneficial. Hands-on expertise with Data Factory (Fabric or Azure), notebooks (Python, PySpark), advanced SQL, and robust data modelling and performance optimisation skills. Proven track record in building scalable data pipelines and implementing modern architectures such as Medallion. Familiarity with CI/CD, Git, Azure DevOps, and API-based integrations. Excellent stakeholder engagement skills with the ability to translate business needs into technical solutions. Leadership capabilities with a proactive, solution-focused mindset. Nice to have: Experience with legacy technologies such as Oracle, SQL Server, SSIS, SAP Data Services, T-SQL, or PL/SQL. Benefits: Flexible working policies including job shares and part-time options. Agile working environment allowing management of your own diary and potential home working. Career progression opportunities. Contributory pension scheme. Generous annual leave allowance. Discounts for everyday spend, on-site gyms, and a range of sports clubs. Generous and supportive parental leave. Financial and mental wellbeing guidance and support. Discounted contributory healthcare scheme. If you are passionate about using data to drive safety and efficiency, and enjoy solving complex challenges in a dynamic environment, apply to join us as a Senior Data Engineer. Your work will have a real-world impact, helping to keep communities safe and secure. NB - there is a security check for this role requiring applicants to have been resident in the UK for at least the last five years To apply for this Senior Data Engineer position, please submit your CV today
This is a pivotal role within a small, ambitious team, working closely with clinical leaders and committees to deliver high-quality education for a diverse membership including nurses, consultants, resident doctors, pharmacists, scientists and allied health professionals. You will play a key role in shaping and delivering BSH s educational offer from webinars and podcasts to in-person events and digital learning resources as well as leading the development of our new online Knowledge Hub. Key Responsibilities Support the BSH Education Committee and deliver its programme of educational activity Plan, coordinate and deliver webinars, podcasts, events and educational resources Lead the development and management of the BSH Knowledge Hub, ensuring content is high-quality, relevant and up to date Track engagement and usage data, including CPD activity Support delivery of education sessions at external events and contribute to BSH events Work collaboratively with other societies and organisations to enhance educational content and signposting Support educational outputs across BSH committees, particularly the Nurse Forum and Research Forum
Jun 25, 2026
Full time
This is a pivotal role within a small, ambitious team, working closely with clinical leaders and committees to deliver high-quality education for a diverse membership including nurses, consultants, resident doctors, pharmacists, scientists and allied health professionals. You will play a key role in shaping and delivering BSH s educational offer from webinars and podcasts to in-person events and digital learning resources as well as leading the development of our new online Knowledge Hub. Key Responsibilities Support the BSH Education Committee and deliver its programme of educational activity Plan, coordinate and deliver webinars, podcasts, events and educational resources Lead the development and management of the BSH Knowledge Hub, ensuring content is high-quality, relevant and up to date Track engagement and usage data, including CPD activity Support delivery of education sessions at external events and contribute to BSH events Work collaboratively with other societies and organisations to enhance educational content and signposting Support educational outputs across BSH committees, particularly the Nurse Forum and Research Forum
Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
Jun 25, 2026
Full time
Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
Role: Data Scientist / Engineer Location: Remote / London - up to 1 day per week on-site Duration: 5 Months Day rate: 560 Inside IR35 Role Overview We are seeking an experienced Data Scientist with strong Data Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products. You will work within a multidisciplinary Agile team, collaborating with Data Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions. Key Responsibilities Lead exploratory data analysis (EDA) to inform dashboard design and reporting outputs Define data requirements and determine appropriate dashboard content Identify and mitigate data quality risks and ensure data integrity Design, build, and maintain reusable data pipelines and datasets using Python and PySpark Develop and test datasets used in BI dashboards and reporting products Work with stakeholders to translate business needs into data solutions and insights Collaborate within an Agile delivery team, contributing to sprints, stand-ups, and planning sessions Apply modern engineering best practices including CI/CD, TDD, and DevSecOps Engage in pair programming and adhere to collaborative coding standards Essential Skills & Experience Strong hands-on experience with Python and PySpark Solid background in exploratory data analysis and data modelling Experience with Palantir platforms, ideally including the NHS Federated Data Platform (FDP) Proficiency with BI and data platforms such as Redshift, Databricks, or similar Experience building and validating datasets for dashboards and reporting Strong understanding of data pipelines, data quality, and governance principles Proven ability to work independently in Agile environments Experience collaborating with multidisciplinary teams, including UCD professionals Excellent communication and stakeholder management skills Familiarity with DevSecOps, CI/CD, and TDD practices Experience with pair programming and collaborative development approaches Desirable Skills Experience working within the NHS or wider public sector Familiarity with screening programmes or clinical data systems If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Jun 25, 2026
Contractor
Role: Data Scientist / Engineer Location: Remote / London - up to 1 day per week on-site Duration: 5 Months Day rate: 560 Inside IR35 Role Overview We are seeking an experienced Data Scientist with strong Data Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products. You will work within a multidisciplinary Agile team, collaborating with Data Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions. Key Responsibilities Lead exploratory data analysis (EDA) to inform dashboard design and reporting outputs Define data requirements and determine appropriate dashboard content Identify and mitigate data quality risks and ensure data integrity Design, build, and maintain reusable data pipelines and datasets using Python and PySpark Develop and test datasets used in BI dashboards and reporting products Work with stakeholders to translate business needs into data solutions and insights Collaborate within an Agile delivery team, contributing to sprints, stand-ups, and planning sessions Apply modern engineering best practices including CI/CD, TDD, and DevSecOps Engage in pair programming and adhere to collaborative coding standards Essential Skills & Experience Strong hands-on experience with Python and PySpark Solid background in exploratory data analysis and data modelling Experience with Palantir platforms, ideally including the NHS Federated Data Platform (FDP) Proficiency with BI and data platforms such as Redshift, Databricks, or similar Experience building and validating datasets for dashboards and reporting Strong understanding of data pipelines, data quality, and governance principles Proven ability to work independently in Agile environments Experience collaborating with multidisciplinary teams, including UCD professionals Excellent communication and stakeholder management skills Familiarity with DevSecOps, CI/CD, and TDD practices Experience with pair programming and collaborative development approaches Desirable Skills Experience working within the NHS or wider public sector Familiarity with screening programmes or clinical data systems If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Job Title: Marketing Specialist - Eloqua - CDP Location: London - twice a week in the office Salary/Rate : £345 per day inside IR35 Start Date: 06/07/2026 Job Type: Contract - 12 months Company Introduction We have an exciting opportunity now available with one of our sector-leading data analytics clients! They are currently looking for a skilled Marketing Specialist with strong Eloqua and CDP experience to join their team for a twelve-month contract. Job Responsibilities/Objectives The role is part of a centralized data and marketing technology team. The role supports four brands and involves working with a data engineer, scientist, and analyst. Experience with Oracle or Eloqua CDP platforms is preferred for the role. Role aims to support analytics capabilities and commercial strategy alignment. Implementation of new marketing technology stack starts July 6th - ideally they would like for someone to join on 6th July but they can wait up to 4 weeks' notice if necessary. Role requires B2B experience in operationalising CDP insights into journey orchestration. Availability for interviews starts next week, with potential slots on Friday and Wednesday. Required Skills/Experience The ideal candidate will have the following: Experience with Oracle or Eloqua CDP platforms is preferred. Experience in marketing analytics and digitally led buying journeys is critical. End-to-end customer journey mapping experience is required. Commercial focus and ability to translate insights into execution is essential If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Jun 25, 2026
Contractor
Job Title: Marketing Specialist - Eloqua - CDP Location: London - twice a week in the office Salary/Rate : £345 per day inside IR35 Start Date: 06/07/2026 Job Type: Contract - 12 months Company Introduction We have an exciting opportunity now available with one of our sector-leading data analytics clients! They are currently looking for a skilled Marketing Specialist with strong Eloqua and CDP experience to join their team for a twelve-month contract. Job Responsibilities/Objectives The role is part of a centralized data and marketing technology team. The role supports four brands and involves working with a data engineer, scientist, and analyst. Experience with Oracle or Eloqua CDP platforms is preferred for the role. Role aims to support analytics capabilities and commercial strategy alignment. Implementation of new marketing technology stack starts July 6th - ideally they would like for someone to join on 6th July but they can wait up to 4 weeks' notice if necessary. Role requires B2B experience in operationalising CDP insights into journey orchestration. Availability for interviews starts next week, with potential slots on Friday and Wednesday. Required Skills/Experience The ideal candidate will have the following: Experience with Oracle or Eloqua CDP platforms is preferred. Experience in marketing analytics and digitally led buying journeys is critical. End-to-end customer journey mapping experience is required. Commercial focus and ability to translate insights into execution is essential If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
Jun 25, 2026
Full time
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
Senior Data Analyst Salary: 65K - 75K Location: Manchester (Hybrid) We're working with a high-growth business that is scaling its data function to the next level. They are investing heavily in their product and data capabilities, as part of this investment, they are hiring a Senior Data Analyst to own experimentation and performance insight across their search ranking and personalisation systems. The Opportunity Within this role as Senior Data Analyst, you will partner closely with cross-functional teams to ensure product changes are properly tested, accurately measured, and clearly linked to business performance. This is a product-focused analytics leadership position with a strong emphasis on experimentation and impact evaluation. Skills & Experience Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation Commercial awareness Strong SQL experience Experience partnering with data scientists and engineering teams This is an opportunity to have ownership. For consideration, please submit your CV. Senior Data Analyst
Jun 24, 2026
Full time
Senior Data Analyst Salary: 65K - 75K Location: Manchester (Hybrid) We're working with a high-growth business that is scaling its data function to the next level. They are investing heavily in their product and data capabilities, as part of this investment, they are hiring a Senior Data Analyst to own experimentation and performance insight across their search ranking and personalisation systems. The Opportunity Within this role as Senior Data Analyst, you will partner closely with cross-functional teams to ensure product changes are properly tested, accurately measured, and clearly linked to business performance. This is a product-focused analytics leadership position with a strong emphasis on experimentation and impact evaluation. Skills & Experience Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation Commercial awareness Strong SQL experience Experience partnering with data scientists and engineering teams This is an opportunity to have ownership. For consideration, please submit your CV. Senior Data Analyst
AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance.This is an exciting opportunity to play a key role in delivering cutting-edge AI solutions within a secure, high-impact environment-helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production-grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI.Key responsibilities include: Designing, developing and deploying AI-enabled applications across cloud platforms Building and scaling Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production-ready services Engaging stakeholders to identify and shape high-value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof-of-concepts to support decision-making and future investment Experience Required Proven experience delivering AI-enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI-driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
Jun 24, 2026
Contractor
AI Developer (SC Cleared) £700-£800 per day Inside IR35 Hybrid (Canary Wharf, London - 1 day per week) Contract until September 2026 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced AI Developer with active SC clearance.This is an exciting opportunity to play a key role in delivering cutting-edge AI solutions within a secure, high-impact environment-helping shape how AI is deployed across critical public services. The Role You'll be responsible for designing and delivering production-grade AI applications, working at the forefront of technologies such as Microsoft Copilot Studio, Azure AI Foundry and Azure OpenAI.Key responsibilities include: Designing, developing and deploying AI-enabled applications across cloud platforms Building and scaling Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production-ready services Engaging stakeholders to identify and shape high-value AI use cases Ensuring all solutions align with Responsible AI principles, data protection and security standards Developing proof-of-concepts to support decision-making and future investment Experience Required Proven experience delivering AI-enabled solutions into production environments Strong software engineering background, particularly with Python and cloud technologies Experience working with large language models (LLMs) and AI-driven systems Track record of working within multidisciplinary agile teams Experience developing and advising on AI use cases and solution design Additional Details Day rate: £700-£800 (Inside IR35) Contract until end of September 2026, with likely extension Hybrid working - 1 day per week on-site in Canary Wharf Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Jun 24, 2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Title: UK Sales Manager - Chemicals Location: Remote, occasional requirement on site in Manchester office Salary: 45,000 - 55,000 + benefits Term: Permanent SRG is partnering with a leading chemical manufacturer in Manchester, who offer a wide range of innovative raw materials to manufacturers and brands in the UK market (encompassing Personal Care, HI&I, Oil & Gas and Agriculture amongst others). With world-class R&D and manufacturing facilities, they have a well-known reputation for success in the market. Adopting a value-based sales approach, you will travel extensively across the North of the UK and Ireland, regularly meeting customers to continually build, develop and grow customer relationships across a variety of chemical manufacturers and brands. With several existing buying accounts, the role will be approximately 50/50 business development-account management. Benefits: Car allowance, very generous bonus scheme (up to 15k annually!), full autonomy to manage a well-established territory with scope to grow it further. Role / Description Identifying, contacting and developing new business using a variety of methods Promoting the company's range of innovative raw materials Growing market presence across the Northern UK & Ireland chemicals market Growing existing customer relationships to ensure customer satisfaction and ultimately look to increase account spend Travelling approximately 1/3 of your time across Northern UK to visit customer sites Generating leads to identify new potential UK chemical customers Maintaining and updating the database to build a global customer pool Keeping abreast of product development & trends in the chemicals industry. Requirements Recent direct experience in consultative and technical sales of chemical raw materials to either Personal Care, HI&I, Oil & Gas, Agriculture or other related sectors Degree-level qualified (or equivalent) in Chemistry or a closely related subject Experience with delivering technical presentations on chemical raw materials Excellent communication and interpersonal skills Willing, and excited, to travel 1/3 of your time across Northern UK & Ireland Full, clean UK driving licence A proactive approach and drive to deliver exceptional customer service If you would like to apply for this position, please use the link provided. Alternatively, please email a copy of your CV to For more information regarding this position or any others, please call Amy on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jun 24, 2026
Full time
Title: UK Sales Manager - Chemicals Location: Remote, occasional requirement on site in Manchester office Salary: 45,000 - 55,000 + benefits Term: Permanent SRG is partnering with a leading chemical manufacturer in Manchester, who offer a wide range of innovative raw materials to manufacturers and brands in the UK market (encompassing Personal Care, HI&I, Oil & Gas and Agriculture amongst others). With world-class R&D and manufacturing facilities, they have a well-known reputation for success in the market. Adopting a value-based sales approach, you will travel extensively across the North of the UK and Ireland, regularly meeting customers to continually build, develop and grow customer relationships across a variety of chemical manufacturers and brands. With several existing buying accounts, the role will be approximately 50/50 business development-account management. Benefits: Car allowance, very generous bonus scheme (up to 15k annually!), full autonomy to manage a well-established territory with scope to grow it further. Role / Description Identifying, contacting and developing new business using a variety of methods Promoting the company's range of innovative raw materials Growing market presence across the Northern UK & Ireland chemicals market Growing existing customer relationships to ensure customer satisfaction and ultimately look to increase account spend Travelling approximately 1/3 of your time across Northern UK to visit customer sites Generating leads to identify new potential UK chemical customers Maintaining and updating the database to build a global customer pool Keeping abreast of product development & trends in the chemicals industry. Requirements Recent direct experience in consultative and technical sales of chemical raw materials to either Personal Care, HI&I, Oil & Gas, Agriculture or other related sectors Degree-level qualified (or equivalent) in Chemistry or a closely related subject Experience with delivering technical presentations on chemical raw materials Excellent communication and interpersonal skills Willing, and excited, to travel 1/3 of your time across Northern UK & Ireland Full, clean UK driving licence A proactive approach and drive to deliver exceptional customer service If you would like to apply for this position, please use the link provided. Alternatively, please email a copy of your CV to For more information regarding this position or any others, please call Amy on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Exciting Opportunity: Senior Molecular Biologist (Gene Synthesis Start-up) Are you a hands-on molecular biologist who enjoys turning science into real-world solutions? We are looking for a Molecular Biologist to join an early-stage biotech bringing a gene synthesis technology to market. Your focus will be on commercial implementation. You'll tackle customer-driven challenges head-on, solving problems and adapting approaches to meet real-world constraints and deliver results. Job Title: Senior Molecular Biologist Vacancy Type: Permanent Location: London Salary: DOE About the Organisation You'll be joining a biotech start-up focused on bringing a gene synthesis platform to market. The team is small, ambitious, and technically driven, working at the intersection of molecular biology and automation. With support from Innovate UK, the business is moving rapidly from concept through validation and toward commercialisation. The Role of the Senior Molecular Biologist This is a hands-on, lab-focused role , working as part of a small core team to develop and refine process workflows that underpin a commercial gene synthesis offering. You'll take ownership of key work packages, contributing directly at the bench while collaborating closely with internal colleagues and external partners to solve complex technical challenges. Key responsibilities include: Designing, executing, and troubleshooting molecular biology workflows related to gene synthesis Owning and driving iterative experimental cycles to improve performance, robustness, and scalability Developing and maintaining SOPs and documentation Collaborating with external partners to replicate and internalise key technical capabilities Establish protocols on automated liquid handling platforms to enable commercial scale Operating and optimising sequencing platforms, including Nanopore and Sanger sequencing Analysing sequencing and experimental data, including use of Python-based tools Contributing to broader strategy discussions as the platform evolves toward commercialisation The Ideal Candidate for the Molecular Biologist Role To succeed in this role, you will bring: A strong foundation in molecular biology , with proven hands-on troubleshooting experience A highly practical mindset with a genuine enthusiasm for bench science and iteration Familiarity with automated liquid handling systems Experience operating Nanopore and Sanger sequencing platforms Experience working within industry and have commercial acumen Working knowledge of Python for scientific or sequencing data analysis Excellent documentation and communication skills The ability to take ownership of a workstream and drive it independently Experience working in a commercial gene synthesis setting Nice to have (Not essential): Project management skills Experience in synthetic chemistry pertinent to DNA synthesis Background & Mindset This role is best suited to someone who: Focused: on leading and delivering scientific work in a commercial setting. Comfortable with working with the goal of meeting commercial objectives. Has experience across both structured environments (e.g. larger organisations) and fast-moving or early-stage settings Is comfortable working with ambiguity, evolving priorities, and high autonomy Enjoys solving problems without predefined answers Is collaborative, pragmatic, and motivated by building something new Project management experience is beneficial, but not essential. Growth Opportunity This role offers a clear pathway towards senior oversight. As the company grows, you will have the opportunity to: Identify, hire and oversee lab technicians to support in processing Build and mentor a growing scientific team Contribute to external partnerships, fundraising, and strategic planning Why This Role? This is a genuinely unique opportunity for a scientist who wants to: Stay hands-on in the lab while influencing company direction Work on high-impact technology Be part of a foundational team in a start-up environment Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jun 24, 2026
Full time
Exciting Opportunity: Senior Molecular Biologist (Gene Synthesis Start-up) Are you a hands-on molecular biologist who enjoys turning science into real-world solutions? We are looking for a Molecular Biologist to join an early-stage biotech bringing a gene synthesis technology to market. Your focus will be on commercial implementation. You'll tackle customer-driven challenges head-on, solving problems and adapting approaches to meet real-world constraints and deliver results. Job Title: Senior Molecular Biologist Vacancy Type: Permanent Location: London Salary: DOE About the Organisation You'll be joining a biotech start-up focused on bringing a gene synthesis platform to market. The team is small, ambitious, and technically driven, working at the intersection of molecular biology and automation. With support from Innovate UK, the business is moving rapidly from concept through validation and toward commercialisation. The Role of the Senior Molecular Biologist This is a hands-on, lab-focused role , working as part of a small core team to develop and refine process workflows that underpin a commercial gene synthesis offering. You'll take ownership of key work packages, contributing directly at the bench while collaborating closely with internal colleagues and external partners to solve complex technical challenges. Key responsibilities include: Designing, executing, and troubleshooting molecular biology workflows related to gene synthesis Owning and driving iterative experimental cycles to improve performance, robustness, and scalability Developing and maintaining SOPs and documentation Collaborating with external partners to replicate and internalise key technical capabilities Establish protocols on automated liquid handling platforms to enable commercial scale Operating and optimising sequencing platforms, including Nanopore and Sanger sequencing Analysing sequencing and experimental data, including use of Python-based tools Contributing to broader strategy discussions as the platform evolves toward commercialisation The Ideal Candidate for the Molecular Biologist Role To succeed in this role, you will bring: A strong foundation in molecular biology , with proven hands-on troubleshooting experience A highly practical mindset with a genuine enthusiasm for bench science and iteration Familiarity with automated liquid handling systems Experience operating Nanopore and Sanger sequencing platforms Experience working within industry and have commercial acumen Working knowledge of Python for scientific or sequencing data analysis Excellent documentation and communication skills The ability to take ownership of a workstream and drive it independently Experience working in a commercial gene synthesis setting Nice to have (Not essential): Project management skills Experience in synthetic chemistry pertinent to DNA synthesis Background & Mindset This role is best suited to someone who: Focused: on leading and delivering scientific work in a commercial setting. Comfortable with working with the goal of meeting commercial objectives. Has experience across both structured environments (e.g. larger organisations) and fast-moving or early-stage settings Is comfortable working with ambiguity, evolving priorities, and high autonomy Enjoys solving problems without predefined answers Is collaborative, pragmatic, and motivated by building something new Project management experience is beneficial, but not essential. Growth Opportunity This role offers a clear pathway towards senior oversight. As the company grows, you will have the opportunity to: Identify, hire and oversee lab technicians to support in processing Build and mentor a growing scientific team Contribute to external partnerships, fundraising, and strategic planning Why This Role? This is a genuinely unique opportunity for a scientist who wants to: Stay hands-on in the lab while influencing company direction Work on high-impact technology Be part of a foundational team in a start-up environment Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer
Jun 24, 2026
Full time
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer
Head of Science - September 2026 or January 2027 Lead. Inspire. Transform. Are you an experienced Science teacher ready to take the next step in your leadership journey? Do you want to lead a thriving department within a prestigious Independent School where academic excellence, innovation, and holistic education are at the heart of everything? If so, we would love to hear from you. Position: Head of Science Location: Leatherhead, Surrey Start Date: September 2026 or January 2027 Salary: Competitive, dependent on experience About the Role We are seeking an ambitious and dynamic Head of Science to lead a successful and well-established department within a leading Independent School. This is an exciting opportunity to shape the strategic direction of Science across Key Stages 3 to 5, working alongside a highly collaborative team in exceptional facilities. The successful candidate will be responsible for driving academic excellence, fostering intellectual curiosity, and ensuring that pupils are inspired to achieve their full potential. The school is renowned for its outstanding pastoral care, broad co-curricular provision, and commitment to developing confident, well-rounded young people. What We're Looking For Experienced Science Teacher A strong classroom practitioner with a passion for Science and a track record of delivering excellent outcomes across one or more disciplines. Inspiring Leader Someone who can motivate colleagues, raise standards, and drive innovation across the curriculum. Outstanding Role Model A teacher who is committed to providing a first-class education and who values the importance of developing the whole child. Strategic Thinker Confident in using data and educational research to inform planning and lead departmental development. Qualified Professional QTS or an equivalent teaching qualification is essential, and previous middle leadership experience is highly desirable. Why Join This School? Exceptional Reputation Join one of the region's leading Independent Schools, recognised for its academic excellence and outstanding pastoral care. Supportive Leadership Work within a collaborative and forward-thinking senior leadership team committed to professional growth and wellbeing. Outstanding Facilities Benefit from superb Science laboratories, excellent resources, and access to a wide range of professional development opportunities. Career Development A fantastic opportunity to shape the future of Science education and further your leadership career within an ambitious and innovative school. Take the Next Step If you are ready to lead and inspire the next generation of scientists, this is an exceptional opportunity to make a lasting impact. Apply now or contact Louis Denison-Foster at Academics for more information.
Jun 24, 2026
Full time
Head of Science - September 2026 or January 2027 Lead. Inspire. Transform. Are you an experienced Science teacher ready to take the next step in your leadership journey? Do you want to lead a thriving department within a prestigious Independent School where academic excellence, innovation, and holistic education are at the heart of everything? If so, we would love to hear from you. Position: Head of Science Location: Leatherhead, Surrey Start Date: September 2026 or January 2027 Salary: Competitive, dependent on experience About the Role We are seeking an ambitious and dynamic Head of Science to lead a successful and well-established department within a leading Independent School. This is an exciting opportunity to shape the strategic direction of Science across Key Stages 3 to 5, working alongside a highly collaborative team in exceptional facilities. The successful candidate will be responsible for driving academic excellence, fostering intellectual curiosity, and ensuring that pupils are inspired to achieve their full potential. The school is renowned for its outstanding pastoral care, broad co-curricular provision, and commitment to developing confident, well-rounded young people. What We're Looking For Experienced Science Teacher A strong classroom practitioner with a passion for Science and a track record of delivering excellent outcomes across one or more disciplines. Inspiring Leader Someone who can motivate colleagues, raise standards, and drive innovation across the curriculum. Outstanding Role Model A teacher who is committed to providing a first-class education and who values the importance of developing the whole child. Strategic Thinker Confident in using data and educational research to inform planning and lead departmental development. Qualified Professional QTS or an equivalent teaching qualification is essential, and previous middle leadership experience is highly desirable. Why Join This School? Exceptional Reputation Join one of the region's leading Independent Schools, recognised for its academic excellence and outstanding pastoral care. Supportive Leadership Work within a collaborative and forward-thinking senior leadership team committed to professional growth and wellbeing. Outstanding Facilities Benefit from superb Science laboratories, excellent resources, and access to a wide range of professional development opportunities. Career Development A fantastic opportunity to shape the future of Science education and further your leadership career within an ambitious and innovative school. Take the Next Step If you are ready to lead and inspire the next generation of scientists, this is an exceptional opportunity to make a lasting impact. Apply now or contact Louis Denison-Foster at Academics for more information.
Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. Data Science Lead Upto £1,000/day PAYE Initial 6-Month Contract Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. The Role We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore delivery partners to identify opportunities, shape data science strategy, and ensure the successful delivery of business-critical initiatives. Key Responsibilities Lead the design, development, and deployment of advanced analytical and machine learning models. Partner with business and technology stakeholders to translate complex challenges into data-driven solutions. Drive the modernisation of data science practices, tools, and methodologies. Oversee model performance, governance, documentation, and regulatory compliance. Manage and mentor data scientists while collaborating with offshore analytics teams. Present insights and recommendations to senior business audiences. Essential Experience Proven experience leading data science projects in large, complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with large-scale structured and unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Jun 24, 2026
Seasonal
Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. Data Science Lead Upto £1,000/day PAYE Initial 6-Month Contract Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment. The Role We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore delivery partners to identify opportunities, shape data science strategy, and ensure the successful delivery of business-critical initiatives. Key Responsibilities Lead the design, development, and deployment of advanced analytical and machine learning models. Partner with business and technology stakeholders to translate complex challenges into data-driven solutions. Drive the modernisation of data science practices, tools, and methodologies. Oversee model performance, governance, documentation, and regulatory compliance. Manage and mentor data scientists while collaborating with offshore analytics teams. Present insights and recommendations to senior business audiences. Essential Experience Proven experience leading data science projects in large, complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with large-scale structured and unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims. Experience with Spark, Hadoop, NoSQL, or modern big data platforms. Agile delivery experience and collaborative software development practices. Experience leading analytics teams and driving organisational change. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
We are looking for an AI Engineer / Data Scientist to work with one of our clients in the defence sector. You will collaborate with the Technical Lead, Engineers and Architects to design, build and deliver secure digital solutions in highly secure environments. We are looking for someone who has strong hands-on AI engineering experience building LLMs, SLMs and working on ML. You will need experience with graph databases, RAG and Microsoft Graph Retrieval. You will need experience working with geospatial data and large datasets, ideally over 100,000 objects with complex meta data and characteristics. Due to the nature of the work, candidates must be sole British nationals and be prepared to go through SC clearance and be on site 2 days a week.
Jun 23, 2026
Contractor
We are looking for an AI Engineer / Data Scientist to work with one of our clients in the defence sector. You will collaborate with the Technical Lead, Engineers and Architects to design, build and deliver secure digital solutions in highly secure environments. We are looking for someone who has strong hands-on AI engineering experience building LLMs, SLMs and working on ML. You will need experience with graph databases, RAG and Microsoft Graph Retrieval. You will need experience working with geospatial data and large datasets, ideally over 100,000 objects with complex meta data and characteristics. Due to the nature of the work, candidates must be sole British nationals and be prepared to go through SC clearance and be on site 2 days a week.
MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to 537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to 537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) 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.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. Hays Specialist Recruitment Limited 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 (url removed)
Jun 23, 2026
Contractor
MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to 537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to 537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) 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.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. Hays Specialist Recruitment Limited 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 (url removed)
