AI Engineer / Azure / Generative AI / Permanent / London / Hybrid Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning, prompt evaluation and production deployment. Monitor AI performance, token usage, cost optimisation, reliability and security. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Promote Responsible AI, governance, and data security across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such as LangChain or Semantic Kernel. Strong stakeholder communication and cross-functional collaboration skills. This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting-edge Generative AI technologies in a secure, innovation-driven environment. AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid
Jun 13, 2026
Full time
AI Engineer / Azure / Generative AI / Permanent / London / Hybrid Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning, prompt evaluation and production deployment. Monitor AI performance, token usage, cost optimisation, reliability and security. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Promote Responsible AI, governance, and data security across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such as LangChain or Semantic Kernel. Strong stakeholder communication and cross-functional collaboration skills. This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting-edge Generative AI technologies in a secure, innovation-driven environment. AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid
Data Scientist - Database Analyst/Programmer II Larne, Northern Ireland (On-Site) Location: Larne (On-site) Contract: 12 months (Inside IR35) Hours: 37.5 hours/week (Flexible start/finish - typically 8:00am-4:00pm) We're currently looking for a talented Data Scientist / Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland. Role Overview This is a hands-on role focused on data engineering, analytics, and automation, supporting key initiatives within a complex engineering environment. You'll play a vital part in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the business. Key Responsibilities Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake Cleanse, transform, and validate large datasets to ensure data accuracy and integrity Manage scheduled data loads and perform ongoing data quality checks Support and contribute to data governance, standards, and documentation Deliver high-quality, curated datasets for reporting and business analysis Support development of KPIs, dashboards, and analytical models Troubleshoot and resolve data, integration, and reporting issues Build and optimise solutions using Power BI, Power Apps, and Power Automate Integrate and manage CRM data (including Salesforce) to support business processes Identify and implement automation and process improvement opportunities across workflows. Required Skills & Experience 3-5+ years' experience in data science, analytics, data engineering, or automation roles Strong proficiency in Python Hands-on experience with SQL and Snowflake Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) Experience working with CRM data (Salesforce preferred) Solid understanding of data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred / Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge engineering environment, apply now or reach out for more details! This vacancy is being advertised by Belcan
Jun 13, 2026
Contractor
Data Scientist - Database Analyst/Programmer II Larne, Northern Ireland (On-Site) Location: Larne (On-site) Contract: 12 months (Inside IR35) Hours: 37.5 hours/week (Flexible start/finish - typically 8:00am-4:00pm) We're currently looking for a talented Data Scientist / Database Analyst Programmer to join a leading engineering organisation based in Larne, Northern Ireland. Role Overview This is a hands-on role focused on data engineering, analytics, and automation, supporting key initiatives within a complex engineering environment. You'll play a vital part in building data pipelines, delivering analytical insights, and enabling data-driven decision-making across the business. Key Responsibilities Develop and maintain robust ETL/ELT data pipelines using Python, SQL, and Snowflake Cleanse, transform, and validate large datasets to ensure data accuracy and integrity Manage scheduled data loads and perform ongoing data quality checks Support and contribute to data governance, standards, and documentation Deliver high-quality, curated datasets for reporting and business analysis Support development of KPIs, dashboards, and analytical models Troubleshoot and resolve data, integration, and reporting issues Build and optimise solutions using Power BI, Power Apps, and Power Automate Integrate and manage CRM data (including Salesforce) to support business processes Identify and implement automation and process improvement opportunities across workflows. Required Skills & Experience 3-5+ years' experience in data science, analytics, data engineering, or automation roles Strong proficiency in Python Hands-on experience with SQL and Snowflake Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) Experience working with CRM data (Salesforce preferred) Solid understanding of data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred / Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge engineering environment, apply now or reach out for more details! This vacancy is being advertised by Belcan
Experimental Physicist Infrared Detection Systems An innovative technology company based in the Greater Cambridge area is seeking a talented and motivated Experimental Physicist to join a growing research and development team focused on infrared detection and characterisation technologies. The Role You will design, build, and operate experimental systems for infrared detection, working across the full development pipeline from sensor selection and optical design through to signal processing and data analysis. The role offers the opportunity to contribute to cutting-edge research and help shape the direction of future development programmes. You will collaborate closely with a multidisciplinary team of scientists and engineers to develop and refine advanced detection techniques for real-world applications. Key Requirements Degree in Physics, Applied Physics, or a closely related discipline (PhD preferred, but not essential depending on experience) Hands-on experience with infrared sensors, detectors, or imaging systems Strong experimental and laboratory skills, including building and troubleshooting optical and electronic systems Familiarity with signal processing and data analysis, ideally within a detection or imaging environment Practical, methodical problem-solving approach with strong attention to detail Good communication skills and ability to work effectively within a collaborative team Desirable Experience Radiometry and photometry Thermal imaging or LWIR/MWIR/SWIR systems Optical modelling and simulation Experience within defence, security, industrial sensing, or related sectors What s on Offer A technically stimulating and research-focused environment Competitive salary and benefits package Opportunity to work on challenging projects with meaningful real-world impact Career development within a high-growth technology organisation Interested? Please Click Apply Now! Experimental Physicist Infrared Detection Systems
Jun 13, 2026
Full time
Experimental Physicist Infrared Detection Systems An innovative technology company based in the Greater Cambridge area is seeking a talented and motivated Experimental Physicist to join a growing research and development team focused on infrared detection and characterisation technologies. The Role You will design, build, and operate experimental systems for infrared detection, working across the full development pipeline from sensor selection and optical design through to signal processing and data analysis. The role offers the opportunity to contribute to cutting-edge research and help shape the direction of future development programmes. You will collaborate closely with a multidisciplinary team of scientists and engineers to develop and refine advanced detection techniques for real-world applications. Key Requirements Degree in Physics, Applied Physics, or a closely related discipline (PhD preferred, but not essential depending on experience) Hands-on experience with infrared sensors, detectors, or imaging systems Strong experimental and laboratory skills, including building and troubleshooting optical and electronic systems Familiarity with signal processing and data analysis, ideally within a detection or imaging environment Practical, methodical problem-solving approach with strong attention to detail Good communication skills and ability to work effectively within a collaborative team Desirable Experience Radiometry and photometry Thermal imaging or LWIR/MWIR/SWIR systems Optical modelling and simulation Experience within defence, security, industrial sensing, or related sectors What s on Offer A technically stimulating and research-focused environment Competitive salary and benefits package Opportunity to work on challenging projects with meaningful real-world impact Career development within a high-growth technology organisation Interested? Please Click Apply Now! Experimental Physicist Infrared Detection Systems
Teacher of Science Location: Croydon / Upper Norwood Salary: £250-£280 Contract: Temp Are you an enthusiastic and dedicated Science teacher with a passion for inspiring young people to explore and understand the world around them? My client is a successful coeducational secondary school located in Upper Norwood, committed to providing a high-quality education within a supportive and inclusive learning environment. The Role They are seeking an ambitious and passionate Teacher of Science to join their successful Science department. This is an exciting opportunity to inspire students across Key Stages 3 and 4 and contribute to a department that is committed to delivering engaging and challenging science education. Key responsibilities include: Planning and delivering high-quality Science lessons that engage, challenge, and inspire students. Teaching Science across Key Stages 3 and 4, with the opportunity to teach a specialist science at Key Stage 5 for suitably qualified candidates. Creating a positive and stimulating classroom environment that supports excellent progress and achievement. Monitoring and assessing student progress, providing effective feedback and targeted support where required. Using a variety of teaching and learning strategies to meet the needs of all learners. Working collaboratively with colleagues to develop and enhance the Science curriculum. Promoting high standards of behaviour, attendance, and academic achievement. Supporting the school's commitment to safeguarding, wellbeing, and inclusion. Contributing to the wider life of the school through enrichment activities and extracurricular opportunities. Person Specification The ideal candidate will: Hold Qualified Teacher Status (QTS) and have experience teaching Science at secondary level. Possess strong subject knowledge in Biology, Chemistry, Physics, or Combined Science. Demonstrate the ability to motivate and inspire students of varying abilities and backgrounds. Have excellent classroom management and communication skills. Be committed to achieving high standards of teaching, learning, and student outcomes. Have a strong understanding of assessment practices and data-driven improvement strategies. Be a collaborative team player with a commitment to ongoing professional development. Share the school's values of inclusion, ambition, and excellence. Why Join? Join a supportive and well-resourced Science department within a successful coeducational secondary school. Work with a dedicated team of professionals committed to raising achievement and supporting student success. Benefit from a collaborative culture that encourages innovation and professional growth. Access excellent professional development and career progression opportunities. What's Next? If you are ready to inspire the next generation of scientists and make a positive contribution to a thriving school community in Upper Norwood, we would love to hear from you.
Jun 13, 2026
Seasonal
Teacher of Science Location: Croydon / Upper Norwood Salary: £250-£280 Contract: Temp Are you an enthusiastic and dedicated Science teacher with a passion for inspiring young people to explore and understand the world around them? My client is a successful coeducational secondary school located in Upper Norwood, committed to providing a high-quality education within a supportive and inclusive learning environment. The Role They are seeking an ambitious and passionate Teacher of Science to join their successful Science department. This is an exciting opportunity to inspire students across Key Stages 3 and 4 and contribute to a department that is committed to delivering engaging and challenging science education. Key responsibilities include: Planning and delivering high-quality Science lessons that engage, challenge, and inspire students. Teaching Science across Key Stages 3 and 4, with the opportunity to teach a specialist science at Key Stage 5 for suitably qualified candidates. Creating a positive and stimulating classroom environment that supports excellent progress and achievement. Monitoring and assessing student progress, providing effective feedback and targeted support where required. Using a variety of teaching and learning strategies to meet the needs of all learners. Working collaboratively with colleagues to develop and enhance the Science curriculum. Promoting high standards of behaviour, attendance, and academic achievement. Supporting the school's commitment to safeguarding, wellbeing, and inclusion. Contributing to the wider life of the school through enrichment activities and extracurricular opportunities. Person Specification The ideal candidate will: Hold Qualified Teacher Status (QTS) and have experience teaching Science at secondary level. Possess strong subject knowledge in Biology, Chemistry, Physics, or Combined Science. Demonstrate the ability to motivate and inspire students of varying abilities and backgrounds. Have excellent classroom management and communication skills. Be committed to achieving high standards of teaching, learning, and student outcomes. Have a strong understanding of assessment practices and data-driven improvement strategies. Be a collaborative team player with a commitment to ongoing professional development. Share the school's values of inclusion, ambition, and excellence. Why Join? Join a supportive and well-resourced Science department within a successful coeducational secondary school. Work with a dedicated team of professionals committed to raising achievement and supporting student success. Benefit from a collaborative culture that encourages innovation and professional growth. Access excellent professional development and career progression opportunities. What's Next? If you are ready to inspire the next generation of scientists and make a positive contribution to a thriving school community in Upper Norwood, we would love to hear from you.
Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from 550 to 850, you'll play a crucial role in shaping the future of retail through data-driven insights and innovative solutions! About the Team: At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative environment, rotating across different business areas to expand their expertise and make a significant impact. Your Role: As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building and maintaining data pipelines while ensuring effective model performance evaluation. Experimenting with innovative approaches to translate business challenges into actionable data science solutions. Collaborating with Machine Learning Engineers and Software Engineers to create efficient and maintainable solutions aligned with the organization's technology standards. Communicating complex ideas clearly to non-technical stakeholders and contributing to internal knowledge sharing. What You'll Need: To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data science solutions. Extensive experience using Python for model development and working with large-scale data in distributed computing environments. Knowledge of strong coding practices, including version control and testing methodologies. A proactive approach to learning new methods and keeping up with the latest industry developments. A higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, or Physics) is preferred, but equivalent commercial experience is also valued. Hands-on experience with advanced machine learning libraries. Contract Details: Contract Length: 6 months with possible extension. Working Pattern: Hybrid 2-3 day sper week in office. Why Join Us? This is a fantastic opportunity to apply your skills in a fast-paced environment and contribute to innovative projects that directly influence customer experiences and business outcomes. If you're excited about leveraging data to drive meaningful change and thrive in a collaborative atmosphere, we want to hear from you! Ready to Make a Difference? Apply now to become part of a forward-thinking team that values creativity, collaboration, and continuous learning! Your journey in data science starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Jun 13, 2026
Contractor
Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from 550 to 850, you'll play a crucial role in shaping the future of retail through data-driven insights and innovative solutions! About the Team: At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative environment, rotating across different business areas to expand their expertise and make a significant impact. Your Role: As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building and maintaining data pipelines while ensuring effective model performance evaluation. Experimenting with innovative approaches to translate business challenges into actionable data science solutions. Collaborating with Machine Learning Engineers and Software Engineers to create efficient and maintainable solutions aligned with the organization's technology standards. Communicating complex ideas clearly to non-technical stakeholders and contributing to internal knowledge sharing. What You'll Need: To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data science solutions. Extensive experience using Python for model development and working with large-scale data in distributed computing environments. Knowledge of strong coding practices, including version control and testing methodologies. A proactive approach to learning new methods and keeping up with the latest industry developments. A higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, or Physics) is preferred, but equivalent commercial experience is also valued. Hands-on experience with advanced machine learning libraries. Contract Details: Contract Length: 6 months with possible extension. Working Pattern: Hybrid 2-3 day sper week in office. Why Join Us? This is a fantastic opportunity to apply your skills in a fast-paced environment and contribute to innovative projects that directly influence customer experiences and business outcomes. If you're excited about leveraging data to drive meaningful change and thrive in a collaborative atmosphere, we want to hear from you! Ready to Make a Difference? Apply now to become part of a forward-thinking team that values creativity, collaboration, and continuous learning! Your journey in data science starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Expert computing. Goal-oriented tasks. Endless upskilling. Full Stack Software Engineer £44,000 - 54,000 (+ Benefits) Reports to: Lead Software Engineer Department: Chief Operating Office Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London. Office-based with high flexibility (1-2 days per week in the office) Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. External closing date: 29 June :55 Internal closing date: 29 June :55 This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: Telephone interview followed by a technical exercise and one competency-based interview How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. Tech Stack : TypeScript, React, Next.js, AWS Serverless, Node.js, Next.js, SaaS At Cancer Research UK, we exist to beat cancer. We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you. Cancer Research UK is looking for a Full Stack Software Engineer with experience in JavaScript/Typescript who can take our digital products to the next level by partnering with our product teams to develop our software packages, high-quality code; ensure best practices, and deliver technical solutions as part of our ambitious Engineering Strategy. In this role, you will be part of a portfolio rotating across a range of change initiatives and products used by Cancer Research UK's Scientific Research & Innovation (R&I) portfolio. As the world's largest independent, non commercial funder of cancer research-and the only organisation covering the full research lifecycle from early discovery to clinical application - R&I brings together scientists, clinicians, Cancer Research Horizons, Therapeutic Innovation, Centre of Drug Development (CDD), and global partners to develop ground-breaking ideas, research, and treatments to bring about a world free from cancer. As a Full Stack Engineer, you'll gain exposure to stakeholders across the charity while collaborating with other Engineers, Product Managers, Testers, Agile Coaches, Architects and Business Analysts to help convert business challenges into technical solutions while continually improving the accessibility, availability, performance, and security of our R&I products (such as our About Cancer website). This is an opportunity for you to gain exposure to a modern tech stack while being part of a diverse Technology team that offers a range of development and progression opportunities, as well as the autonomy to deliver your own projects across a range of products. If you want to use your technical skills to deliver purpose-driven solutions, we would love you to join our mission. What will I be doing? Developing software packages and solutions within our Scientific Research & Innovation (R&I) portfolio. Applying lean and Agile principles to develop high-quality code that has minimal bugs, adheres to Cancer Research UK standards, and is highly supportable. Working either independently or in collaboration with Solution Architects to design new solutions and maintain, implement, and improve SaaS solutions in line with the Software Engineering strategy. Autonomously delivering backlog items for an existing product. Collaborating with the R&I product team (e.g., Product Managers, Service Designers, UX Designers, Business Analysts, etc.) to identify user needs, discuss capabilities and iteratively design solutions. Contributing to the Software Engineering capability team to share good practices, develop standards, patterns, automation & tools, and reduce technical debt and operational risks. Applying Site Reliability Engineering principles to track and improve the availability, performance, and security of our R&I products while supporting the resolution of incidents impacting these products. What skills will I need? Experienced Software Engineer with a proven ability to write clean, readable, and properly tested code based on tried and tested design patterns. Demonstrable knowledge of JavaScript/ TypeScript with an ability and willingness to learn new languages, frameworks, and tools Some experience building modern user interfaces and single-page applications (preferably using React and Next.js). Some experience developing REST APIs and other back-end components (preferably using Node.js). Knowledge of Jest or other modern testing libraries. Some experience with cloud-native architecture and AWS services (including various SQL and noSQL databases). Ran critical services in production and designed highly available, scalable, and secure solutions. Awareness of accessibility standards and guidelines. Collaborative with an ability to communicate with technical and non-technical business colleagues. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Additional Information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.
Jun 13, 2026
Full time
Expert computing. Goal-oriented tasks. Endless upskilling. Full Stack Software Engineer £44,000 - 54,000 (+ Benefits) Reports to: Lead Software Engineer Department: Chief Operating Office Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London. Office-based with high flexibility (1-2 days per week in the office) Visa sponsorship: You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. External closing date: 29 June :55 Internal closing date: 29 June :55 This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: Telephone interview followed by a technical exercise and one competency-based interview How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. Tech Stack : TypeScript, React, Next.js, AWS Serverless, Node.js, Next.js, SaaS At Cancer Research UK, we exist to beat cancer. We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you. Cancer Research UK is looking for a Full Stack Software Engineer with experience in JavaScript/Typescript who can take our digital products to the next level by partnering with our product teams to develop our software packages, high-quality code; ensure best practices, and deliver technical solutions as part of our ambitious Engineering Strategy. In this role, you will be part of a portfolio rotating across a range of change initiatives and products used by Cancer Research UK's Scientific Research & Innovation (R&I) portfolio. As the world's largest independent, non commercial funder of cancer research-and the only organisation covering the full research lifecycle from early discovery to clinical application - R&I brings together scientists, clinicians, Cancer Research Horizons, Therapeutic Innovation, Centre of Drug Development (CDD), and global partners to develop ground-breaking ideas, research, and treatments to bring about a world free from cancer. As a Full Stack Engineer, you'll gain exposure to stakeholders across the charity while collaborating with other Engineers, Product Managers, Testers, Agile Coaches, Architects and Business Analysts to help convert business challenges into technical solutions while continually improving the accessibility, availability, performance, and security of our R&I products (such as our About Cancer website). This is an opportunity for you to gain exposure to a modern tech stack while being part of a diverse Technology team that offers a range of development and progression opportunities, as well as the autonomy to deliver your own projects across a range of products. If you want to use your technical skills to deliver purpose-driven solutions, we would love you to join our mission. What will I be doing? Developing software packages and solutions within our Scientific Research & Innovation (R&I) portfolio. Applying lean and Agile principles to develop high-quality code that has minimal bugs, adheres to Cancer Research UK standards, and is highly supportable. Working either independently or in collaboration with Solution Architects to design new solutions and maintain, implement, and improve SaaS solutions in line with the Software Engineering strategy. Autonomously delivering backlog items for an existing product. Collaborating with the R&I product team (e.g., Product Managers, Service Designers, UX Designers, Business Analysts, etc.) to identify user needs, discuss capabilities and iteratively design solutions. Contributing to the Software Engineering capability team to share good practices, develop standards, patterns, automation & tools, and reduce technical debt and operational risks. Applying Site Reliability Engineering principles to track and improve the availability, performance, and security of our R&I products while supporting the resolution of incidents impacting these products. What skills will I need? Experienced Software Engineer with a proven ability to write clean, readable, and properly tested code based on tried and tested design patterns. Demonstrable knowledge of JavaScript/ TypeScript with an ability and willingness to learn new languages, frameworks, and tools Some experience building modern user interfaces and single-page applications (preferably using React and Next.js). Some experience developing REST APIs and other back-end components (preferably using Node.js). Knowledge of Jest or other modern testing libraries. Some experience with cloud-native architecture and AWS services (including various SQL and noSQL databases). Ran critical services in production and designed highly available, scalable, and secure solutions. Awareness of accessibility standards and guidelines. Collaborative with an ability to communicate with technical and non-technical business colleagues. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Additional Information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Jun 13, 2026
Full time
Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
Jun 13, 2026
Full time
Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.
Talentmark are recruiting for a Senior Scientist, Compound Screening to join a clinical stage oncology biotechnology company at their site based in West London on a permanent basis. The Company: Our client is developing novel tumour microenvironment targeted therapeutics. This is an exciting opportunity to contribute to bringing novel cancer treatments to patients. Location: This Senior Scientist, Compound Screening role is located in West London. Senior Scientist, Compound Screening Role: You will help to drive early stage discovery programs and will assume responsibility and be accountable for the efficient and timely delivery of cell-based screening data to support drug discovery programs for oncology therapeutics. This is a lab-based role with management of junior team member(s). Your main duties will be to: Weekly, high throughput plate-based assays to screen compounds in cell-based assays to support candidate selection Data analysis and data quality control: analyse, interpret and save data to databases and electronic lab notebooks; adherence to standard operating procedures Effectively present results and conclusions at project meetings to colleagues and senior management Work in a fast-paced, team environment with tight deadlines Work effectively in a small team with cross-functional team members Ensure compliance with laboratory safety guidelines and quality standards Your Background: Essential: BSc, MSc or PhD in a life sciences subject with additional biotech or pharmaceutical laboratory experience post qualification Industry drug discovery experience Experienced in high throughput plate-based assays to screen compounds in cell-based assays Data analysis and data quality control Protocol optimisation and troubleshooting Strong attention to detail, organisation and ability to work in a fast-paced, team-oriented environment Desirable: Line management experience Experience in cell-based models and co-culture assays Cell biology and other basic molecular techniques eg, western blotting, ELISA, cytometry etc Apply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference (phone number removed) in all correspondence.
Jun 13, 2026
Full time
Talentmark are recruiting for a Senior Scientist, Compound Screening to join a clinical stage oncology biotechnology company at their site based in West London on a permanent basis. The Company: Our client is developing novel tumour microenvironment targeted therapeutics. This is an exciting opportunity to contribute to bringing novel cancer treatments to patients. Location: This Senior Scientist, Compound Screening role is located in West London. Senior Scientist, Compound Screening Role: You will help to drive early stage discovery programs and will assume responsibility and be accountable for the efficient and timely delivery of cell-based screening data to support drug discovery programs for oncology therapeutics. This is a lab-based role with management of junior team member(s). Your main duties will be to: Weekly, high throughput plate-based assays to screen compounds in cell-based assays to support candidate selection Data analysis and data quality control: analyse, interpret and save data to databases and electronic lab notebooks; adherence to standard operating procedures Effectively present results and conclusions at project meetings to colleagues and senior management Work in a fast-paced, team environment with tight deadlines Work effectively in a small team with cross-functional team members Ensure compliance with laboratory safety guidelines and quality standards Your Background: Essential: BSc, MSc or PhD in a life sciences subject with additional biotech or pharmaceutical laboratory experience post qualification Industry drug discovery experience Experienced in high throughput plate-based assays to screen compounds in cell-based assays Data analysis and data quality control Protocol optimisation and troubleshooting Strong attention to detail, organisation and ability to work in a fast-paced, team-oriented environment Desirable: Line management experience Experience in cell-based models and co-culture assays Cell biology and other basic molecular techniques eg, western blotting, ELISA, cytometry etc Apply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference (phone number removed) in all correspondence.
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Jun 12, 2026
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Graduate Field Geologist Bangor 27000 to 32000 per Annum plus Benefits Permanent Role I am actively searching for a Graduate Field Geologist to join an established environmental consultancy delivering ground investigation and contaminated land services from its Bangor office. This is an excellent opportunity for a recent graduate to begin a technical career within a practical, project-driven environment. As a Graduate Field Geologist, you will work alongside experienced engineers and scientists on a wide range of site investigation projects. Based in Bangor, the role combines office-based reporting with regular site work, giving you early exposure to the full project lifecycle. You will assist with data collection, soil and groundwater logging, laboratory coordination, and the preparation of interpretive reports. The role will suit a Graduate Field Geologist who is keen to develop strong technical foundations while learning how environmental risks are assessed and managed. Projects will vary in size and complexity, including residential, commercial, and infrastructure schemes across London and surrounding areas, while being supported from Bangor by a collaborative and approachable team. Graduate Field Geologist, Candidate Requirements: A degree in geology, environmental science, geotechnical engineering, or a related subject Full UK Driving Licence Live within a commutable distance of Bangor Full Right to Work in the UK permanently Company Benefits: Flexible working First class training and development scheme Clear progression plan Opportunities for international travel Company vehicle access Interested in this or other roles in Geotechnical or Geo-Environmental, please do not hesitate to contact William Lisle. We have many more vacancies available on our website. This is a permanent role. Penguin Recruitment is operating as a Recruitment Agency in respect to this position. to this position.
Jun 12, 2026
Full time
Graduate Field Geologist Bangor 27000 to 32000 per Annum plus Benefits Permanent Role I am actively searching for a Graduate Field Geologist to join an established environmental consultancy delivering ground investigation and contaminated land services from its Bangor office. This is an excellent opportunity for a recent graduate to begin a technical career within a practical, project-driven environment. As a Graduate Field Geologist, you will work alongside experienced engineers and scientists on a wide range of site investigation projects. Based in Bangor, the role combines office-based reporting with regular site work, giving you early exposure to the full project lifecycle. You will assist with data collection, soil and groundwater logging, laboratory coordination, and the preparation of interpretive reports. The role will suit a Graduate Field Geologist who is keen to develop strong technical foundations while learning how environmental risks are assessed and managed. Projects will vary in size and complexity, including residential, commercial, and infrastructure schemes across London and surrounding areas, while being supported from Bangor by a collaborative and approachable team. Graduate Field Geologist, Candidate Requirements: A degree in geology, environmental science, geotechnical engineering, or a related subject Full UK Driving Licence Live within a commutable distance of Bangor Full Right to Work in the UK permanently Company Benefits: Flexible working First class training and development scheme Clear progression plan Opportunities for international travel Company vehicle access Interested in this or other roles in Geotechnical or Geo-Environmental, please do not hesitate to contact William Lisle. We have many more vacancies available on our website. This is a permanent role. Penguin Recruitment is operating as a Recruitment Agency in respect to this position. to this position.
Data Scientist - Advanced Analytics - MOD/Defence Project, Farnborough, Hybrid, (Apply online only) per day Outside IR35 Contract opportunity for a Data Scientist with experience in Analytics for a large MOD project. This is for a defence consultancy and security clearance (SC) would be needed prior to engagement. Due to the nature of the role, 3 days per week in Farnborough is needed. Key skills required Data preparation, validation, analysis, and modelling Experience with mathematical optimisation, rules programming, and analytics Model performance testing, identifying areas of improvement, and implementation Working with large data sets, with thousands of objects, with complex meta data and characteristics Good problem solver This programme is a new innovative piece of working with the MOD. If you have worked in a security cleared environment, have the active relevant Security Clearance and skilled with data science - please apply.
Jun 12, 2026
Contractor
Data Scientist - Advanced Analytics - MOD/Defence Project, Farnborough, Hybrid, (Apply online only) per day Outside IR35 Contract opportunity for a Data Scientist with experience in Analytics for a large MOD project. This is for a defence consultancy and security clearance (SC) would be needed prior to engagement. Due to the nature of the role, 3 days per week in Farnborough is needed. Key skills required Data preparation, validation, analysis, and modelling Experience with mathematical optimisation, rules programming, and analytics Model performance testing, identifying areas of improvement, and implementation Working with large data sets, with thousands of objects, with complex meta data and characteristics Good problem solver This programme is a new innovative piece of working with the MOD. If you have worked in a security cleared environment, have the active relevant Security Clearance and skilled with data science - please apply.
Data Engineer Location: Remote (UK-based preferred, if applicable) Employment Type: Full-Time, 6-Month Contract About the Role We are seeking a talented and motivated Data Engineer to join a global technology and engineering organisation at the forefront of digital transformation, industrial innovation, and intelligent infrastructure. This is a fully remote 6-month contract role, offering the opportunity to work on cutting-edge data platforms and knowledge graph solutions that support complex, real-world challenges across multiple industries. You will collaborate with international teams of engineers, data scientists, and solution architects to design and deliver scalable data solutions that drive analytics, automation, and AI-powered insights within a world-leading technology environment. Key Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What You Bring Required Experience & Skills Bachelor's or master's degree in computer science, Data Science, Engineering, or related field. 3+ years of experience in data engineering, with strong exposure to knowledge graph technologies. Strong proficiency in Python and SQL. Experience with graph query languages such as SPARQL and Cypher. Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar). Experience working with cloud platforms such as AWS and/or Azure. Strong data modelling, analytical, and problem-solving skills. Excellent communication skills with the ability to explain complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential for extension. Opportunity to work within a global engineering and technology organisation driving large-scale digital transformation. Exposure to cutting-edge knowledge graph and data engineering technologies. Collaborative, inclusive, and international team culture. Opportunities for professional development and learning. Flexible working arrangements to support work-life balance. Adecco is an employment consultancy. We put expertise, energy, and passion into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an all-encompassing environment that helps them thrive. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer. Please email me (url removed)
Jun 12, 2026
Contractor
Data Engineer Location: Remote (UK-based preferred, if applicable) Employment Type: Full-Time, 6-Month Contract About the Role We are seeking a talented and motivated Data Engineer to join a global technology and engineering organisation at the forefront of digital transformation, industrial innovation, and intelligent infrastructure. This is a fully remote 6-month contract role, offering the opportunity to work on cutting-edge data platforms and knowledge graph solutions that support complex, real-world challenges across multiple industries. You will collaborate with international teams of engineers, data scientists, and solution architects to design and deliver scalable data solutions that drive analytics, automation, and AI-powered insights within a world-leading technology environment. Key Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data architecture standards. What You Bring Required Experience & Skills Bachelor's or master's degree in computer science, Data Science, Engineering, or related field. 3+ years of experience in data engineering, with strong exposure to knowledge graph technologies. Strong proficiency in Python and SQL. Experience with graph query languages such as SPARQL and Cypher. Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar). Experience working with cloud platforms such as AWS and/or Azure. Strong data modelling, analytical, and problem-solving skills. Excellent communication skills with the ability to explain complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer Fully remote working environment. 6-month contract with potential for extension. Opportunity to work within a global engineering and technology organisation driving large-scale digital transformation. Exposure to cutting-edge knowledge graph and data engineering technologies. Collaborative, inclusive, and international team culture. Opportunities for professional development and learning. Flexible working arrangements to support work-life balance. Adecco is an employment consultancy. We put expertise, energy, and passion into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an all-encompassing environment that helps them thrive. Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunity's employer. Please email me (url removed)
Join Our Team as a UX Designer! Location: London Contract Length: 6 months (Possible extensions) Working pattern: 2 days per week in the office, via Umbrella company Are you a passionate UX Designer ready to make a difference in the financial and insurance sectors? We are looking for a creative and innovative individual to join our dynamic team for a temporary six-month contract. If you thrive in a lively atmosphere and have a keen eye for detail, we want to hear from you! What You'll Do: As a UX Designer, you will be at the forefront of creating user-friendly and engaging experiences for our clients. Your primary responsibilities will include: Collaborating with cross-functional teams to gather user requirements and feedback; including Data Engineers and Data Scientists. Designing intuitive user interfaces that enhance customer satisfaction. Developing wireframes, prototypes, and user flows to effectively communicate design concepts. Conducting user research and usability testing to inform design decisions. Iterating on designs based on user feedback and data-driven insights. Staying updated with industry trends and best practises to ensure our products remain cutting-edge. What We're Looking For: We seek someone who is not just a designer but a user experience champion! The ideal candidate will possess: Proven experience as a UX Designer or similar role, preferably in the financial or insurance industry. Strong portfolio showcasing your design process and impactful projects. Proficiency in design tools such as Sketch, Figma, Adobe XD, or similar. Excellent understanding of user-centred design principles and methodologies. Ability to communicate design concepts clearly and effectively to stakeholders. A team player attitude with strong collaboration skills. Ready to Make an Impact? If you're excited to shape the future of user experience in the financial industry, we want to hear from you! Send your CV and portfolio to your email address and let us know why you're the perfect fit for our team. Don't miss out on this exciting opportunity to be part of something big! Join us and bring your creativity to life in a role that truly matters. Together, let's create exceptional experiences that empower our users! We can't wait to see how you can make a difference! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Jun 12, 2026
Contractor
Join Our Team as a UX Designer! Location: London Contract Length: 6 months (Possible extensions) Working pattern: 2 days per week in the office, via Umbrella company Are you a passionate UX Designer ready to make a difference in the financial and insurance sectors? We are looking for a creative and innovative individual to join our dynamic team for a temporary six-month contract. If you thrive in a lively atmosphere and have a keen eye for detail, we want to hear from you! What You'll Do: As a UX Designer, you will be at the forefront of creating user-friendly and engaging experiences for our clients. Your primary responsibilities will include: Collaborating with cross-functional teams to gather user requirements and feedback; including Data Engineers and Data Scientists. Designing intuitive user interfaces that enhance customer satisfaction. Developing wireframes, prototypes, and user flows to effectively communicate design concepts. Conducting user research and usability testing to inform design decisions. Iterating on designs based on user feedback and data-driven insights. Staying updated with industry trends and best practises to ensure our products remain cutting-edge. What We're Looking For: We seek someone who is not just a designer but a user experience champion! The ideal candidate will possess: Proven experience as a UX Designer or similar role, preferably in the financial or insurance industry. Strong portfolio showcasing your design process and impactful projects. Proficiency in design tools such as Sketch, Figma, Adobe XD, or similar. Excellent understanding of user-centred design principles and methodologies. Ability to communicate design concepts clearly and effectively to stakeholders. A team player attitude with strong collaboration skills. Ready to Make an Impact? If you're excited to shape the future of user experience in the financial industry, we want to hear from you! Send your CV and portfolio to your email address and let us know why you're the perfect fit for our team. Don't miss out on this exciting opportunity to be part of something big! Join us and bring your creativity to life in a role that truly matters. Together, let's create exceptional experiences that empower our users! We can't wait to see how you can make a difference! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 12, 2026
Contractor
Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from £550 to £850, you'll play a crucial role in shaping the future of retail through data-driven insights and innovative solutions! About the Team:At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative environment, rotating across different business areas to expand their expertise and make a significant impact. Your Role:As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building and maintaining data pipelines while ensuring effective model performance evaluation. Experimenting with innovative approaches to translate business challenges into actionable data science solutions. Collaborating with Machine Learning Engineers and Software Engineers to create efficient and maintainable solutions aligned with the organization's technology standards. Communicating complex ideas clearly to non-technical stakeholders and contributing to internal knowledge sharing. What You'll Need:To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data science solutions. Extensive experience using Python for model development and working with large-scale data in distributed computing environments. Knowledge of strong coding practices, including version control and testing methodologies. A proactive approach to learning new methods and keeping up with the latest industry developments. A higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, or Physics) is preferred, but equivalent commercial experience is also valued. Hands-on experience with advanced machine learning libraries. Contract Details: Contract Length: 6 months with possible extension. Working Pattern: Hybrid 2-3 day sper week in office. Why Join Us?This is a fantastic opportunity to apply your skills in a fast-paced environment and contribute to innovative projects that directly influence customer experiences and business outcomes. If you're excited about leveraging data to drive meaningful change and thrive in a collaborative atmosphere, we want to hear from you! Ready to Make a Difference?Apply now to become part of a forward-thinking team that values creativity, collaboration, and continuous learning! Your journey in data science starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Jun 12, 2026
Contractor
Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on a fixed-term contract. With a daily rate ranging from £550 to £850, you'll play a crucial role in shaping the future of retail through data-driven insights and innovative solutions! About the Team:At our client's organization, the Data Science team tackles complex business challenges across various domains, including customer experience, supply chain, and technology. They leverage advanced machine learning, generative AI, and large language models (LLMs) to optimize prices, enhance store operations, and personalize customer experiences. Team members enjoy a collaborative environment, rotating across different business areas to expand their expertise and make a significant impact. Your Role:As a Data Scientist, you'll be at the forefront of developing and deploying machine learning solutions that transform decision-making processes. Your key responsibilities will include: Designing and implementing robust models to optimize business operations. Building and maintaining data pipelines while ensuring effective model performance evaluation. Experimenting with innovative approaches to translate business challenges into actionable data science solutions. Collaborating with Machine Learning Engineers and Software Engineers to create efficient and maintainable solutions aligned with the organization's technology standards. Communicating complex ideas clearly to non-technical stakeholders and contributing to internal knowledge sharing. What You'll Need:To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data science solutions. Extensive experience using Python for model development and working with large-scale data in distributed computing environments. Knowledge of strong coding practices, including version control and testing methodologies. A proactive approach to learning new methods and keeping up with the latest industry developments. A higher degree in a quantitative discipline (Mathematics, Computer Science, Engineering, or Physics) is preferred, but equivalent commercial experience is also valued. Hands-on experience with advanced machine learning libraries. Contract Details: Contract Length: 6 months with possible extension. Working Pattern: Hybrid 2-3 day sper week in office. Why Join Us?This is a fantastic opportunity to apply your skills in a fast-paced environment and contribute to innovative projects that directly influence customer experiences and business outcomes. If you're excited about leveraging data to drive meaningful change and thrive in a collaborative atmosphere, we want to hear from you! Ready to Make a Difference?Apply now to become part of a forward-thinking team that values creativity, collaboration, and continuous learning! Your journey in data science starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Jun 12, 2026
Full time
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Data Scientist - Advanced Analytics - MOD/Defence Project, Farnborough, Hybrid, £500-700 per day Outside IR35 Contract opportunity for a Data Scientist with experience in Analytics for a large MOD project. This is for a defence consultancy and security clearance (SC) would be needed prior to engagement. Due to the nature of the role, 3 days per week in Farnborough is needed. Key skills required Data preparation, validation, analysis, and modelling Experience with mathematical optimisation, rules programming, and analytics Model performance testing, identifying areas of improvement, and implementation Working with large data sets, with thousands of objects, with complex meta data and characteristics Good problem solver This programme is a new innovative piece of working with the MOD. If you have worked in a security cleared environment, have the active relevant Security Clearance and skilled with data science - please apply.
Jun 12, 2026
Contractor
Data Scientist - Advanced Analytics - MOD/Defence Project, Farnborough, Hybrid, £500-700 per day Outside IR35 Contract opportunity for a Data Scientist with experience in Analytics for a large MOD project. This is for a defence consultancy and security clearance (SC) would be needed prior to engagement. Due to the nature of the role, 3 days per week in Farnborough is needed. Key skills required Data preparation, validation, analysis, and modelling Experience with mathematical optimisation, rules programming, and analytics Model performance testing, identifying areas of improvement, and implementation Working with large data sets, with thousands of objects, with complex meta data and characteristics Good problem solver This programme is a new innovative piece of working with the MOD. If you have worked in a security cleared environment, have the active relevant Security Clearance and skilled with data science - please apply.
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Jun 12, 2026
Full time
Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.
Jun 12, 2026
Full time
About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.
