Senior Data Engineer Competitive Salary + 20% Bonus + Excellent Benefits London - Hybrid - 3 days on-site Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Azure Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Aug 14, 2026
Full time
Senior Data Engineer Competitive Salary + 20% Bonus + Excellent Benefits London - Hybrid - 3 days on-site Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Azure Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
The Rosalind Franklin Institute
Harwell, Oxfordshire
Research Associate in Topological Data Analysis for Cell Biology SALARY: From £39,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 2 Year Fixed Term Contract (with the possibility of extension) The Role The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. This is an exciting research opportunity to join the VirtuAI Cell project which aims to develop a virtual mapping of intracellular contents of biological cells. This leads to the ultimate goal of running in-silico cell simulations that use such mappings to model how the dynamics of intracellular contents may modulate in response to various types of cell disturbances; e.g., due to the injection of a drug molecule; or the intracellular growth of cancer promoting mutations, the checking of which one could model to predict new routes towards preventative cancer. The Research Associate will develop and apply persistent homology to automatically classify cellular structure in experimental 2-D microscopy and 3-D tomography data, to help build a virtual mapping of biological cells. The role-holder will use persistent homology to represent and classify biomedical structure and explore how such structural representations can track over multi-scale image resolutions. The work may also involve applying topological data analysis (TDA) to assist with the design, construction and deployment of new feature engineering and optimisation strategies for the machine-learning (ML) modelling of cellular data. More generally, this role offers a great opportunity for an expert in persistent homology to become a valued member of a highly interdisciplinary, challenge-focused project team that aims to solve a global research challenge. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Key Responsibilities As a Research Associate, you will: Employ persistent homology to represent and classify structures in cell biology, using experimental data from 2-D microscopy images and 3-D tomograms Analyse and interpret results from persistent homology in liaison with experts in cell biology Apply persistent homology to track structural representations of biocellular species over multi-scale image resolutions Use persistent homology to track structural representations of biocellular species over time Curate large volumes of simulated data to help develop persistent homology for cell biology Apply TDA to assist ML modellers with the feature engineering and optimisation of cellular data Create data representations using TDA to help make more efficient ML models for cell biology Perform or supervise data annotation for training and evaluation purposes where necessary Plan data acquisitions with experimentalists who conduct them, analyse and interpret results and supervise delivery of outputs (e.g. research report, patent application) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 30th August 2026.
Aug 14, 2026
Contractor
Research Associate in Topological Data Analysis for Cell Biology SALARY: From £39,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 2 Year Fixed Term Contract (with the possibility of extension) The Role The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. This is an exciting research opportunity to join the VirtuAI Cell project which aims to develop a virtual mapping of intracellular contents of biological cells. This leads to the ultimate goal of running in-silico cell simulations that use such mappings to model how the dynamics of intracellular contents may modulate in response to various types of cell disturbances; e.g., due to the injection of a drug molecule; or the intracellular growth of cancer promoting mutations, the checking of which one could model to predict new routes towards preventative cancer. The Research Associate will develop and apply persistent homology to automatically classify cellular structure in experimental 2-D microscopy and 3-D tomography data, to help build a virtual mapping of biological cells. The role-holder will use persistent homology to represent and classify biomedical structure and explore how such structural representations can track over multi-scale image resolutions. The work may also involve applying topological data analysis (TDA) to assist with the design, construction and deployment of new feature engineering and optimisation strategies for the machine-learning (ML) modelling of cellular data. More generally, this role offers a great opportunity for an expert in persistent homology to become a valued member of a highly interdisciplinary, challenge-focused project team that aims to solve a global research challenge. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Key Responsibilities As a Research Associate, you will: Employ persistent homology to represent and classify structures in cell biology, using experimental data from 2-D microscopy images and 3-D tomograms Analyse and interpret results from persistent homology in liaison with experts in cell biology Apply persistent homology to track structural representations of biocellular species over multi-scale image resolutions Use persistent homology to track structural representations of biocellular species over time Curate large volumes of simulated data to help develop persistent homology for cell biology Apply TDA to assist ML modellers with the feature engineering and optimisation of cellular data Create data representations using TDA to help make more efficient ML models for cell biology Perform or supervise data annotation for training and evaluation purposes where necessary Plan data acquisitions with experimentalists who conduct them, analyse and interpret results and supervise delivery of outputs (e.g. research report, patent application) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 30th August 2026.
Job title: Data Analyst Start Date: ASAP Contract: six months (possibility of extension) Location: Paddington (Hybrid) Sector: Retail Summary Producing an analysis is only part of the job; understanding whether it can be trusted, explained and used to support a decision is just as important. Our Advanced Analytics team helps make better decisions by combining commercial insight, decision science and analytical engineering. We work across product squads and the wider business on trusted, high-impact analytical solutions. As a Data Analyst, you'll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results. You'll work with business and product teams to investigate complex commercial questions and generate robust evidence. This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You don't need extensive commercial experience, but you should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment. What you'll do Your key accountabilities will include Contribute to analytical work on high-value opportunities, collaborating with experienced analysts, data scientists, product teams and business stakeholders to support better decisions. Help translate complex or ambiguous business questions into clear analytical objectives, success measures and structured analysis plans. Prepare, explore and analyse data to understand performance, identify meaningful patterns and drivers, and uncover opportunities to create measurable business value. Support the design and application of appropriate approaches, including statistical modelling, experimentation and quasi-experimental methods, to test hypotheses, evaluate initiatives and quantify their impact. Validate analytical outputs and communicate findings, uncertainty and limitations clearly, helping stakeholders understand what the evidence does and does not support. Who you are Your skills and experience will include Strong mathematical and statistical knowledge, including familiarity with probability, statistical inference, regression, experimental design and the interpretation of results. Exposure to advanced analytical and/or machine learning methods through study, research or practical experience, with an interest in understanding when different approaches are appropriate and what their limitations are. Strong analytical problem-solving skills, with the curiosity and structured thinking needed to investigate unfamiliar or ambiguous questions using imperfect real-world data. A clear communicator who can explain analytical approaches and findings to others, with the potential to develop this skill further when working with non-technical audiences. Experience using at least one data-focused programming or analytical language, such as Python, R, SQL, PySpark or similar. Role is placed within the Advanced Analytics function, supporting the strategic Insights Engine programme. The project aims to move retail colleagues away from consuming large volumes of reports and towards AI-enabled, prescriptive, exception-based insights that highlight where intervention is required and measure the business impact of those actions. The key hiring requirement is an analyst with strong experimentation, evaluation and statistical analysis skills, particularly around measuring intervention effectiveness through A/B testing, quasi-experimental methods, and stakeholder-facing insight delivery. Key Responsibilities Analytical discovery and opportunity identification. Value case assessment. Data preparation and ETL support. Feature engineering collaboration with Data Scientists. Testing and evaluation of interventions. Experiment execution and results analysis. Presenting outcomes to senior stakeholders. Influencing business decisions through analytics. Must-Have Skills Technical Statistical modelling. A/B testing experience. Experimental design understanding. Difference-in-differences or similar quasi-experimental techniques. Data analysis and interpretation. Ability to execute analytics frameworks designed by senior analysts. Business Stakeholder communication. Translating analysis into actionable business recommendations. Working within cross-functional teams Nice-to-Have Skills Exposure to Data Science environments. Retail analytics experience. Experience working alongside Product Managers, Data Scientists and Data Engineers. Broad analytical toolkit across multiple techniques. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Aug 14, 2026
Contractor
Job title: Data Analyst Start Date: ASAP Contract: six months (possibility of extension) Location: Paddington (Hybrid) Sector: Retail Summary Producing an analysis is only part of the job; understanding whether it can be trusted, explained and used to support a decision is just as important. Our Advanced Analytics team helps make better decisions by combining commercial insight, decision science and analytical engineering. We work across product squads and the wider business on trusted, high-impact analytical solutions. As a Data Analyst, you'll contribute across the analytical process, from preparing and exploring data through to statistical modelling, experimentation, impact evaluation and communicating results. You'll work with business and product teams to investigate complex commercial questions and generate robust evidence. This role would suit someone with strong statistical knowledge who is excited by applying it to real-world problems. You don't need extensive commercial experience, but you should bring curiosity, experience using data, exposure to advanced methods and a desire to develop in a business environment. What you'll do Your key accountabilities will include Contribute to analytical work on high-value opportunities, collaborating with experienced analysts, data scientists, product teams and business stakeholders to support better decisions. Help translate complex or ambiguous business questions into clear analytical objectives, success measures and structured analysis plans. Prepare, explore and analyse data to understand performance, identify meaningful patterns and drivers, and uncover opportunities to create measurable business value. Support the design and application of appropriate approaches, including statistical modelling, experimentation and quasi-experimental methods, to test hypotheses, evaluate initiatives and quantify their impact. Validate analytical outputs and communicate findings, uncertainty and limitations clearly, helping stakeholders understand what the evidence does and does not support. Who you are Your skills and experience will include Strong mathematical and statistical knowledge, including familiarity with probability, statistical inference, regression, experimental design and the interpretation of results. Exposure to advanced analytical and/or machine learning methods through study, research or practical experience, with an interest in understanding when different approaches are appropriate and what their limitations are. Strong analytical problem-solving skills, with the curiosity and structured thinking needed to investigate unfamiliar or ambiguous questions using imperfect real-world data. A clear communicator who can explain analytical approaches and findings to others, with the potential to develop this skill further when working with non-technical audiences. Experience using at least one data-focused programming or analytical language, such as Python, R, SQL, PySpark or similar. Role is placed within the Advanced Analytics function, supporting the strategic Insights Engine programme. The project aims to move retail colleagues away from consuming large volumes of reports and towards AI-enabled, prescriptive, exception-based insights that highlight where intervention is required and measure the business impact of those actions. The key hiring requirement is an analyst with strong experimentation, evaluation and statistical analysis skills, particularly around measuring intervention effectiveness through A/B testing, quasi-experimental methods, and stakeholder-facing insight delivery. Key Responsibilities Analytical discovery and opportunity identification. Value case assessment. Data preparation and ETL support. Feature engineering collaboration with Data Scientists. Testing and evaluation of interventions. Experiment execution and results analysis. Presenting outcomes to senior stakeholders. Influencing business decisions through analytics. Must-Have Skills Technical Statistical modelling. A/B testing experience. Experimental design understanding. Difference-in-differences or similar quasi-experimental techniques. Data analysis and interpretation. Ability to execute analytics frameworks designed by senior analysts. Business Stakeholder communication. Translating analysis into actionable business recommendations. Working within cross-functional teams Nice-to-Have Skills Exposure to Data Science environments. Retail analytics experience. Experience working alongside Product Managers, Data Scientists and Data Engineers. Broad analytical toolkit across multiple techniques. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting
Aug 13, 2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting
Clinical Laboratory Administration Manager, London £20ph - Temporary potential for permanent Renowned Healthcare organisation require a highly efficient Clinical Laboratory Administration Manager to be responsible for the day to day running of the administration department. Key responsibilities: Managing a small administration team, carrying out admin duties as required by Directors/Managers. Liaise with clients via phone/email for departments Dealing with enquires, setting up new clients on a database, liaising with Finance Entering patient results onto databases, producing reports/essays and sending to hospitals/clients Immediately acting upon incoming calls and emails to the genetics and cytogenetics department You will work closely with Clinical Scientists and the Genetics team as well as the Finance department to resolve any invoice queries raised by patients/clients. To ensure that there is an adequate supply of office materials for the team to allow the service to run smoothly. Other duties that may occur in the team/department. About the candidate: Proven administration management experience within a healthcare, medical or scientific environment Have excellent communication skills and experience of client liaison Experience in managing staff Strong Team Player Attention to detail, ability to work accurately and efficiently This is an ASAP start. Please apply if you are interested. We look forward to hearing from you. (ritzrecempbus)
Aug 13, 2026
Seasonal
Clinical Laboratory Administration Manager, London £20ph - Temporary potential for permanent Renowned Healthcare organisation require a highly efficient Clinical Laboratory Administration Manager to be responsible for the day to day running of the administration department. Key responsibilities: Managing a small administration team, carrying out admin duties as required by Directors/Managers. Liaise with clients via phone/email for departments Dealing with enquires, setting up new clients on a database, liaising with Finance Entering patient results onto databases, producing reports/essays and sending to hospitals/clients Immediately acting upon incoming calls and emails to the genetics and cytogenetics department You will work closely with Clinical Scientists and the Genetics team as well as the Finance department to resolve any invoice queries raised by patients/clients. To ensure that there is an adequate supply of office materials for the team to allow the service to run smoothly. Other duties that may occur in the team/department. About the candidate: Proven administration management experience within a healthcare, medical or scientific environment Have excellent communication skills and experience of client liaison Experience in managing staff Strong Team Player Attention to detail, ability to work accurately and efficiently This is an ASAP start. Please apply if you are interested. We look forward to hearing from you. (ritzrecempbus)
Data Scientist (AI / ML) - Near Edinburgh Hybrid - 42K plus Bonus Hybrid - 2/3 days in office per week Lorien's longstanding client based near Edinburgh, a leader in their industry with an award-winning product line making a huge difference around the globe, have asked us to help them in their search for a Data Scientist with a good grasp of Artificial Intelligence / Machine Learning to form a key part of their already innovative, highly collaborative R&D-style environment. You'll use your talents across everything from delivering well-documented designs and implementations of ML models and analytical methods, to bridging the gap between Data Science and Product teams and acting as a core figure in the communication and translation of ongoing AI strategies to stakeholders. This is an ideal opportunity for someone who enjoys tackling complex data challenges, applying modern AI and machine learning techniques, and seeing their work have a tangible impact on real-world products used internationally. Key Responsibilities Design, develop, and evaluate machine learning models and advanced analytical solutions. Produce clear technical documentation, performance reports, and experimental evaluations to support business and product decisions. Collaborate with a range of internal stakeholders to ensure solutions meet performance, quality, and commercial objectives. Support the integration, verification, and validation of machine learning solutions within product development programmes. Work with external research, technology, and academic partners to transfer knowledge and innovative approaches into the business. Identify opportunities to leverage data science techniques to improve products, customer experiences, and internal business processes. Contribute to the continuous improvement of development standards, methodologies, and infrastructure. Stay current with emerging trends and developments across data science, machine learning, artificial intelligence, and analytics. Alongside strong skills across the Artificial Intelligence ( AI ) / Machine Learning ( ML ) domains and a track record of developing and deploying ML solutions in a commercial setting, they'd love if you could bring the following with you: PhD, or equivalent commercial track record, in a quantitative discipline such as Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field. Demonstrable experience translating research and technical concepts into practical, real-world applications. Excellent programming skills and a solid understanding of algorithms, computational methods, and software development principles. Experience designing and conducting experiments, evaluating performance, and interpreting complex datasets. Strong communication skills with the ability to present technical findings to both technical and non-technical audiences. A curious and collaborative mindset with a passion for innovation and problem-solving. What's on Offer Annual bonuses and salary reviews, hybrid working and flexible start/finish times, comprehensive benefits package, and more. Opportunity to work on genuinely innovative technology and products with global reach. Collaborative environment with highly skilled researchers, engineers, and technical specialists. Exposure to global-reaching AI, machine learning, and data science projects. Professional and technical development opportunities within a growing and successful organisation. If you're passionate about applying machine learning and data science to solve complex challenges and want to join an organisation at the forefront of innovation, we'd love to hear from you. In return, our client offers their employees ample opportunities to flourish both technically and professionally, give back to the community in a very direct and rewarding way, and enjoy a range of different benefits with people at the centre, such as flexible and hybrid working arrangements, annual bonuses and salary reviews, and more. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Aug 13, 2026
Full time
Data Scientist (AI / ML) - Near Edinburgh Hybrid - 42K plus Bonus Hybrid - 2/3 days in office per week Lorien's longstanding client based near Edinburgh, a leader in their industry with an award-winning product line making a huge difference around the globe, have asked us to help them in their search for a Data Scientist with a good grasp of Artificial Intelligence / Machine Learning to form a key part of their already innovative, highly collaborative R&D-style environment. You'll use your talents across everything from delivering well-documented designs and implementations of ML models and analytical methods, to bridging the gap between Data Science and Product teams and acting as a core figure in the communication and translation of ongoing AI strategies to stakeholders. This is an ideal opportunity for someone who enjoys tackling complex data challenges, applying modern AI and machine learning techniques, and seeing their work have a tangible impact on real-world products used internationally. Key Responsibilities Design, develop, and evaluate machine learning models and advanced analytical solutions. Produce clear technical documentation, performance reports, and experimental evaluations to support business and product decisions. Collaborate with a range of internal stakeholders to ensure solutions meet performance, quality, and commercial objectives. Support the integration, verification, and validation of machine learning solutions within product development programmes. Work with external research, technology, and academic partners to transfer knowledge and innovative approaches into the business. Identify opportunities to leverage data science techniques to improve products, customer experiences, and internal business processes. Contribute to the continuous improvement of development standards, methodologies, and infrastructure. Stay current with emerging trends and developments across data science, machine learning, artificial intelligence, and analytics. Alongside strong skills across the Artificial Intelligence ( AI ) / Machine Learning ( ML ) domains and a track record of developing and deploying ML solutions in a commercial setting, they'd love if you could bring the following with you: PhD, or equivalent commercial track record, in a quantitative discipline such as Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field. Demonstrable experience translating research and technical concepts into practical, real-world applications. Excellent programming skills and a solid understanding of algorithms, computational methods, and software development principles. Experience designing and conducting experiments, evaluating performance, and interpreting complex datasets. Strong communication skills with the ability to present technical findings to both technical and non-technical audiences. A curious and collaborative mindset with a passion for innovation and problem-solving. What's on Offer Annual bonuses and salary reviews, hybrid working and flexible start/finish times, comprehensive benefits package, and more. Opportunity to work on genuinely innovative technology and products with global reach. Collaborative environment with highly skilled researchers, engineers, and technical specialists. Exposure to global-reaching AI, machine learning, and data science projects. Professional and technical development opportunities within a growing and successful organisation. If you're passionate about applying machine learning and data science to solve complex challenges and want to join an organisation at the forefront of innovation, we'd love to hear from you. In return, our client offers their employees ample opportunities to flourish both technically and professionally, give back to the community in a very direct and rewarding way, and enjoy a range of different benefits with people at the centre, such as flexible and hybrid working arrangements, annual bonuses and salary reviews, and more. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 13, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Aug 13, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
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. Are you ready to be at the forefront of innovation? Join our client's mission to empower innovators and pioneer groundbreaking ideas through their Data Connect Innovation (DCI) Lab! With a focus on rapid proof of concepts (POCs), this role offers the unique opportunity to experiment with novel technologies, accelerate value, and collaborate to create data-driven products that can reshape the organisation and enhance customer experiences. Role: Data Innovation Business Analyst Duration: 6 Months (Perm options) Location: Warwick (2 Days a week in the Office) Rate: 500 pd (umbrella) Your Role As a Data Innovation Business Analyst, you will: Identify, prioritise, and execute successful POCs that uncover valuable opportunities for our client. Guide innovative ideas from initial discussions through to delivery, working closely with business owners and partners. Engage with multidisciplinary teams, including Product Owners, Data Scientists, and Engineers, to drive meaningful outcomes. What You'll Do Build trusted relationships with stakeholders at all organisational levels. Interpret and scope innovative ideas into clear, testable hypotheses. Manage the end-to-end journey of multiple POCs, ensuring successful delivery and momentum. Lead the partner selection process and prepare request-for-proposal materials. Actively participate in POC delivery teams, aligning on initiative needs and reporting progress. Support onboarding of partners and team members for seamless delivery. Attend DCI lab meetings, presenting findings and executing elements of the DCI communication strategy. Stay updated on the latest trends in data-driven technologies and AI to identify new business opportunities. What You'll Bring An innovation and growth mindset, with experience driving outcomes in multidisciplinary teams. A knack for interpreting complex business challenges and scoping these into hypotheses for testing. Strong stakeholder management skills, with the ability to engage, excite, and inspire. Hands-on experience in delivering innovation and rapid prototypes. Exceptional storytelling skills, with a passion for creating impactful content (e.g., video editing, insight visualisation). A proactive, strategic thinker with a bias for execution. A commercial mindset, understanding value identification and business opportunities. Are you naturally curious? Do you thrive in fast-paced environments and embrace the unknown? If you have a passion for new technologies and a commitment to driving innovation, we want to hear from you! Why Join Us? Be part of a dynamic team that is leading the charge in data innovation. Engage with diverse teams and enhance your professional growth. Contribute to projects that have a real impact on the organisation and its customers. Ready to embark on this exciting journey? Apply now to join our client as a Data Innovation Business Analyst! Your next adventure awaits! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. 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. 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.
Aug 13, 2026
Contractor
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. Are you ready to be at the forefront of innovation? Join our client's mission to empower innovators and pioneer groundbreaking ideas through their Data Connect Innovation (DCI) Lab! With a focus on rapid proof of concepts (POCs), this role offers the unique opportunity to experiment with novel technologies, accelerate value, and collaborate to create data-driven products that can reshape the organisation and enhance customer experiences. Role: Data Innovation Business Analyst Duration: 6 Months (Perm options) Location: Warwick (2 Days a week in the Office) Rate: 500 pd (umbrella) Your Role As a Data Innovation Business Analyst, you will: Identify, prioritise, and execute successful POCs that uncover valuable opportunities for our client. Guide innovative ideas from initial discussions through to delivery, working closely with business owners and partners. Engage with multidisciplinary teams, including Product Owners, Data Scientists, and Engineers, to drive meaningful outcomes. What You'll Do Build trusted relationships with stakeholders at all organisational levels. Interpret and scope innovative ideas into clear, testable hypotheses. Manage the end-to-end journey of multiple POCs, ensuring successful delivery and momentum. Lead the partner selection process and prepare request-for-proposal materials. Actively participate in POC delivery teams, aligning on initiative needs and reporting progress. Support onboarding of partners and team members for seamless delivery. Attend DCI lab meetings, presenting findings and executing elements of the DCI communication strategy. Stay updated on the latest trends in data-driven technologies and AI to identify new business opportunities. What You'll Bring An innovation and growth mindset, with experience driving outcomes in multidisciplinary teams. A knack for interpreting complex business challenges and scoping these into hypotheses for testing. Strong stakeholder management skills, with the ability to engage, excite, and inspire. Hands-on experience in delivering innovation and rapid prototypes. Exceptional storytelling skills, with a passion for creating impactful content (e.g., video editing, insight visualisation). A proactive, strategic thinker with a bias for execution. A commercial mindset, understanding value identification and business opportunities. Are you naturally curious? Do you thrive in fast-paced environments and embrace the unknown? If you have a passion for new technologies and a commitment to driving innovation, we want to hear from you! Why Join Us? Be part of a dynamic team that is leading the charge in data innovation. Engage with diverse teams and enhance your professional growth. Contribute to projects that have a real impact on the organisation and its customers. Ready to embark on this exciting journey? Apply now to join our client as a Data Innovation Business Analyst! Your next adventure awaits! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. 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. 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.
DV Cleared Data Science Specialist (AI & Machine Learning) Location: Cheltenham, Ipswich, or Manchester (100% On-site) Salary: Up to 100,000 + 10% Bonus Working Pattern: Full-Time (37.5 hours per week, Monday-Friday) Security Clearance: Active DV Clearance (10+ years UK residency required) About the Role We are seeking a Data Science Specialist to join a premier technology and defence practice. Sitting within a specialist team, this strategic and technical leadership role is responsible for maturing internal data science capabilities and maximizing the value of complex datasets across critical platforms. Leading an agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team of 6 data scientists across multiple agile projects. Advanced Data Exploitation: Drive the exploitation of complex data sets on critical customer platforms to deliver actionable outcomes. AI & Algorithm Development: Coordinate the design, build, and implementation of custom data models, intelligent algorithms, and machine learning solutions. Mentorship & Capability Building: Act as a senior technical authority to upskill and mentor team members in data science and AI practices. Essential Skills & Experience Programming & Scripting: Expert-level skills in interpreted and compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing project delivery, and operating independently with an innovation-focused mindset. Package & Benefits Competitive salary up to 100,000 5,000 per annum DV allowance (payable monthly while holding active clearance in role) Up to 10% target annual bonus Market-leading pension scheme 25 days annual leave + bank holidays Rates depend on experience and client requirements
Aug 13, 2026
Full time
DV Cleared Data Science Specialist (AI & Machine Learning) Location: Cheltenham, Ipswich, or Manchester (100% On-site) Salary: Up to 100,000 + 10% Bonus Working Pattern: Full-Time (37.5 hours per week, Monday-Friday) Security Clearance: Active DV Clearance (10+ years UK residency required) About the Role We are seeking a Data Science Specialist to join a premier technology and defence practice. Sitting within a specialist team, this strategic and technical leadership role is responsible for maturing internal data science capabilities and maximizing the value of complex datasets across critical platforms. Leading an agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team of 6 data scientists across multiple agile projects. Advanced Data Exploitation: Drive the exploitation of complex data sets on critical customer platforms to deliver actionable outcomes. AI & Algorithm Development: Coordinate the design, build, and implementation of custom data models, intelligent algorithms, and machine learning solutions. Mentorship & Capability Building: Act as a senior technical authority to upskill and mentor team members in data science and AI practices. Essential Skills & Experience Programming & Scripting: Expert-level skills in interpreted and compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing project delivery, and operating independently with an innovation-focused mindset. Package & Benefits Competitive salary up to 100,000 5,000 per annum DV allowance (payable monthly while holding active clearance in role) Up to 10% target annual bonus Market-leading pension scheme 25 days annual leave + bank holidays Rates depend on experience and client requirements
Locations : London Riyadh Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As an economist in BCG's Center for Public Economics, you will join a specialized international team of economists, data scientists, and subject matter experts focusing on macroeconomic analysis and economic development topics globally. This role will be primarily client-facing, and you will be deployed as a technical specialist across a wide range of BCG's projects, for the purpose of helping public sector clients understand the economic implications of important topics such as fiscal policy, trade policy, infrastructure programs, AI and technology, climate and environment, and industrial strategy. As a Manager - BCG Vantage on our Client Focus path within BCG's Public Sector Practice Area, you will work in a growing global team, delivering value to clients via individual expertise and/or institutionalized BCG Vantage assets (economic models, products, tools, data, workshops, frameworks, surveys, domain-specific data and related expertise, etc.). You will contribute to proposals and cases through thought partnership in your area of expertise, deliver original analyses and insights helping drive strong impact with clients. While contributing to client cases, workshops and proposals, occasional travel to serve clients onsite during staffing assignments is expected to understand client requirements, and design / develop solutions. You will support commercialization efforts for the topic/sector working, in conjunction with business leaders, providing insights & advice for proposals and client workshops. Additionally, as a Manager - BCG Vantage, you will lead development of intellectual property & assets for the business and mentor and guide junior colleagues based on your topic/sector expertise. YOU'RE GOOD AT Delivering high-quality macroeconomic analysis through established technical approaches (input-output modeling, computable general equilibrium modeling, econometric techniques) Distilling insights from technical analyses to produce concise written outputs for a variety of audiences at pace Engaging senior stakeholders and client team members, delivering targeted communication based on stakeholder settings Managing projects with ability to prioritize work in a fast-paced environment, demonstrating business sense and adaptability Training, coaching, and mentoring junior team members Working in an ever changing and complex environment, and comfortable with ambiguity and navigating a fast-paced environment What You'll Bring 3+ years experience as a professional economist required, candidates with economic consulting experience and/or a proven history of delivering macroeconomic impact assessments strongly preferred In lieu of consulting experience, 4+ years minimum industry experience required (for example, government economist roles); 6+ years of industry experience strongly preferred Bachelor's Degree in Economics required (advanced degree in Economics or a highly related discipline such as Development Economics preferred) Demonstrable experience and expertise in macroeconomic modeling and econometric analysis Proficiency with at least one of R/Python/Stata/EViews Deep understanding and expertise in macroeconomics Strong problem-solving capabilities Excellent interpersonal and communication skills Fluency in English; other languages requested in certain locations Who You'll Work With As a Manager - BCG Vantage on our Client Focus path, you will work face to face with clients and with BCG Project Leaders, Associates and Consultants. In the period between cases, you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client-facing teams to deliver direct client impact through expertise, know-how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know-how and proprietary assets to address targeted challenges directly with clients and project teams; co-creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project's needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro-economic, commodities and trade data 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.
Aug 13, 2026
Full time
Locations : London Riyadh Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As an economist in BCG's Center for Public Economics, you will join a specialized international team of economists, data scientists, and subject matter experts focusing on macroeconomic analysis and economic development topics globally. This role will be primarily client-facing, and you will be deployed as a technical specialist across a wide range of BCG's projects, for the purpose of helping public sector clients understand the economic implications of important topics such as fiscal policy, trade policy, infrastructure programs, AI and technology, climate and environment, and industrial strategy. As a Manager - BCG Vantage on our Client Focus path within BCG's Public Sector Practice Area, you will work in a growing global team, delivering value to clients via individual expertise and/or institutionalized BCG Vantage assets (economic models, products, tools, data, workshops, frameworks, surveys, domain-specific data and related expertise, etc.). You will contribute to proposals and cases through thought partnership in your area of expertise, deliver original analyses and insights helping drive strong impact with clients. While contributing to client cases, workshops and proposals, occasional travel to serve clients onsite during staffing assignments is expected to understand client requirements, and design / develop solutions. You will support commercialization efforts for the topic/sector working, in conjunction with business leaders, providing insights & advice for proposals and client workshops. Additionally, as a Manager - BCG Vantage, you will lead development of intellectual property & assets for the business and mentor and guide junior colleagues based on your topic/sector expertise. YOU'RE GOOD AT Delivering high-quality macroeconomic analysis through established technical approaches (input-output modeling, computable general equilibrium modeling, econometric techniques) Distilling insights from technical analyses to produce concise written outputs for a variety of audiences at pace Engaging senior stakeholders and client team members, delivering targeted communication based on stakeholder settings Managing projects with ability to prioritize work in a fast-paced environment, demonstrating business sense and adaptability Training, coaching, and mentoring junior team members Working in an ever changing and complex environment, and comfortable with ambiguity and navigating a fast-paced environment What You'll Bring 3+ years experience as a professional economist required, candidates with economic consulting experience and/or a proven history of delivering macroeconomic impact assessments strongly preferred In lieu of consulting experience, 4+ years minimum industry experience required (for example, government economist roles); 6+ years of industry experience strongly preferred Bachelor's Degree in Economics required (advanced degree in Economics or a highly related discipline such as Development Economics preferred) Demonstrable experience and expertise in macroeconomic modeling and econometric analysis Proficiency with at least one of R/Python/Stata/EViews Deep understanding and expertise in macroeconomics Strong problem-solving capabilities Excellent interpersonal and communication skills Fluency in English; other languages requested in certain locations Who You'll Work With As a Manager - BCG Vantage on our Client Focus path, you will work face to face with clients and with BCG Project Leaders, Associates and Consultants. In the period between cases, you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client-facing teams to deliver direct client impact through expertise, know-how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know-how and proprietary assets to address targeted challenges directly with clients and project teams; co-creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project's needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro-economic, commodities and trade data Boston Consulting Group is an Equal Opportunity Employer. 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Analytics Platform Engineer - Contract or Permanent - Hybrid/Gloucester Our client is currently recruiting for an Analytics Platform Engineer (contract or Perm) to join a high-profile programme focused on cloud migration, analytics platforms, and data-driven solutions. This is an excellent opportunity to work on mission-critical systems, supporting Data Scientists and MLOps teams while helping to design, build and evolve a scalable analytics hosting platform. Start Date: ASAP Job Type: Contract or Permanent Duration: 2 Months Initially Pay Rate/Salary: Competitive IR35: Inside IR35 Location: Gloucester (Hybrid) The Role: As an Analytics Platform Engineer, you will play a key role in the design, development, deployment, and support of modern analytics platforms and cloud-based solutions. You'll work across the full software development life cycle, delivering platform enhancements, resolving issues within existing analytics services, and providing engineering support to Data Scientists and MLOps teams. Key Responsibilities: Designing, developing, testing and deploying a new analytics hosting platform Supporting cloud migration and data management initiatives Building scalable, secure, and resilient platform solutions Resolving bugs and delivering enhancements for existing analytics applications Providing engineering support to MLOps Engineers and Data Scientists Working across varied technical challenges and unfamiliar technologies where required Technical Skills: Must-Have Skills: Python Kubernetes Docker CI/CD fundamentals (GitLab Pipelines) Highly Desirable Skills: Spark Scala S3 Storage Graph Databases Elasticsearch Vector Stores OIDC/OAuth NodeJS React To apply for Analytics Platform Engineer contract or permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Aug 13, 2026
Analytics Platform Engineer - Contract or Permanent - Hybrid/Gloucester Our client is currently recruiting for an Analytics Platform Engineer (contract or Perm) to join a high-profile programme focused on cloud migration, analytics platforms, and data-driven solutions. This is an excellent opportunity to work on mission-critical systems, supporting Data Scientists and MLOps teams while helping to design, build and evolve a scalable analytics hosting platform. Start Date: ASAP Job Type: Contract or Permanent Duration: 2 Months Initially Pay Rate/Salary: Competitive IR35: Inside IR35 Location: Gloucester (Hybrid) The Role: As an Analytics Platform Engineer, you will play a key role in the design, development, deployment, and support of modern analytics platforms and cloud-based solutions. You'll work across the full software development life cycle, delivering platform enhancements, resolving issues within existing analytics services, and providing engineering support to Data Scientists and MLOps teams. Key Responsibilities: Designing, developing, testing and deploying a new analytics hosting platform Supporting cloud migration and data management initiatives Building scalable, secure, and resilient platform solutions Resolving bugs and delivering enhancements for existing analytics applications Providing engineering support to MLOps Engineers and Data Scientists Working across varied technical challenges and unfamiliar technologies where required Technical Skills: Must-Have Skills: Python Kubernetes Docker CI/CD fundamentals (GitLab Pipelines) Highly Desirable Skills: Spark Scala S3 Storage Graph Databases Elasticsearch Vector Stores OIDC/OAuth NodeJS React To apply for Analytics Platform Engineer contract or permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Data Scientist Role Type: Temporary contract Contract Length: 6 months initially Pay Rate: up to 450- 550 per day (inside IR35), depending on experience Location: London (Hybrid) The Role We're looking for an experienced Data Scientist to develop intelligent, data-driven products that help organisations make better decisions in complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially valuable products while helping shape the future of data and AI across a global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning and experimentation techniques to improve data quality, accuracy and reliability. Develop risk scoring models, benchmarks and domain-specific analytical frameworks that support customer decision-making. Product Development Translate customer challenges and market requirements into innovative analytical solutions and data products. Work closely with Product Managers to help define product value propositions, success metrics and commercial opportunities. Contribute to product roadmap planning by assessing technical feasibility, business impact and customer value. Data Quality & Governance Define data quality standards, validation rules and anomaly detection processes. Ensure analytical solutions align with privacy, governance and ethical AI principles, particularly within regulated environments. Support data lineage, explainability and auditability across analytical outputs. Collaboration & Delivery Partner with Data Engineers to ensure reliable, model-ready data pipelines. Work alongside Machine Learning Engineers to deploy and operationalise models at scale. Present technical findings and recommendations clearly to both technical and non-technical stakeholders. What We're Looking For Essential 7+ years' experience in Data Science or a similar advanced analytics role. Strong programming skills in Python and SQL , with experience using modern machine learning libraries. Experience building predictive models using statistical and machine learning techniques. Strong communication skills with the ability to translate complex analysis into clear business insights. Experience working with large, complex datasets in cloud-based analytics environments. Desirable Experience developing customer-facing or commercially focused data products. Experience working in regulated industries such as Financial Services, Healthcare, Energy or Security. Knowledge of data governance, model explainability and responsible AI practices. Experience collaborating with Product Managers and cross-functional engineering teams. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Aug 13, 2026
Contractor
Data Scientist Role Type: Temporary contract Contract Length: 6 months initially Pay Rate: up to 450- 550 per day (inside IR35), depending on experience Location: London (Hybrid) The Role We're looking for an experienced Data Scientist to develop intelligent, data-driven products that help organisations make better decisions in complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially valuable products while helping shape the future of data and AI across a global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning and experimentation techniques to improve data quality, accuracy and reliability. Develop risk scoring models, benchmarks and domain-specific analytical frameworks that support customer decision-making. Product Development Translate customer challenges and market requirements into innovative analytical solutions and data products. Work closely with Product Managers to help define product value propositions, success metrics and commercial opportunities. Contribute to product roadmap planning by assessing technical feasibility, business impact and customer value. Data Quality & Governance Define data quality standards, validation rules and anomaly detection processes. Ensure analytical solutions align with privacy, governance and ethical AI principles, particularly within regulated environments. Support data lineage, explainability and auditability across analytical outputs. Collaboration & Delivery Partner with Data Engineers to ensure reliable, model-ready data pipelines. Work alongside Machine Learning Engineers to deploy and operationalise models at scale. Present technical findings and recommendations clearly to both technical and non-technical stakeholders. What We're Looking For Essential 7+ years' experience in Data Science or a similar advanced analytics role. Strong programming skills in Python and SQL , with experience using modern machine learning libraries. Experience building predictive models using statistical and machine learning techniques. Strong communication skills with the ability to translate complex analysis into clear business insights. Experience working with large, complex datasets in cloud-based analytics environments. Desirable Experience developing customer-facing or commercially focused data products. Experience working in regulated industries such as Financial Services, Healthcare, Energy or Security. Knowledge of data governance, model explainability and responsible AI practices. Experience collaborating with Product Managers and cross-functional engineering teams. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another. With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD s to industry veterans and anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience. UK nationality for passing security checks. While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this role. 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: CV27674 ) 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.
Aug 13, 2026
Full time
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another. With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD s to industry veterans and anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience. UK nationality for passing security checks. While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this role. 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: CV27674 ) 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.
Data Engineer (AWS) 12-month FTC, Canary Wharf, London One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC). They are offering £49,400 per annum plus excellent pension. This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts. What you ll do: Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated web scraping and bulk data acquisition workflows. Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready. Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads. Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs. Apply Infrastructure as Code (IaC) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What you ll need: Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment. (Lead Criteria) An undergraduate degree in a quantitative subject OR equivalent experience working in data engineering, data science, or development in the cloud. (Lead Criteria) Experience writing production-quality Python code to work with complex or messy datasets. ( Lead Criteria) Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility. Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers. Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.
Aug 13, 2026
Contractor
Data Engineer (AWS) 12-month FTC, Canary Wharf, London One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC). They are offering £49,400 per annum plus excellent pension. This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts. What you ll do: Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated web scraping and bulk data acquisition workflows. Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready. Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads. Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs. Apply Infrastructure as Code (IaC) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What you ll need: Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment. (Lead Criteria) An undergraduate degree in a quantitative subject OR equivalent experience working in data engineering, data science, or development in the cloud. (Lead Criteria) Experience writing production-quality Python code to work with complex or messy datasets. ( Lead Criteria) Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility. Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers. Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.
Digital Assurance Take ownership of the quality and security of the digital systems at a global software company serving the energy industry. Job Type: Full Time, Permanent Location: Norwich, UK Salary: £29 000 pa Geologix is seeking an adaptable, organised and energetic individual to join its Norwich team to strengthen and maintain the security, quality and reliability of the company s digital systems and processes. This new role within Geologix will be tasked with ensuring the organisation operates with clear standards, disciplined processes and secure digital practices, supporting both operational efficiency and organisational resilience. Strong candidates will show high motivation and drive to achieve, be diligent in their work but adaptable in their responsibilities. Training on our systems and current processes is provided, but experience with cloud infrastructure, information governance and procedural compliance is preferred. Role Responsibilities The successful candidate will: Develop a comprehensive understanding of the company's technology stack, cloud platforms and operational workflows, using that knowledge to continually improve the quality, security and resilience of our digital environment. Work closely with Business and Development teams to support system configuration, testing and improvement activities. Support the development and maintenance of the company s information security practices, ensuring they align with internal systems and products. Promote awareness of the company s security posture across staff and customers through clear communication, documentation and participation in meetings. Maintain the Quality Management System (QMS) and Information Security Management System (ISMS), ensuring they remain accurate, relevant and effective. Be responsible for information security event monitoring, reporting and escalation. Coordinate internal and external audits, maintaining risk registers, corrective action logs and compliance records. Support continuous improvement initiatives, including process refinement and staff awareness of quality and security standards. This fast-paced hybrid role will provide variation and significance on a daily basis. Supporting customer deployments and internal R&D initiatives simultaneously will require a dedicated and quick-thinking candidate. The candidate will help shape the impact and trajectory of this new role, which has the potential to evolve with their natural strengths and passions. Attributes and Character Geologix is looking for individuals who demonstrate the following attributes: Excellent communication skills, both written and verbal, with the ability to explain procedures and technical concepts clearly. Strong organisational and time-management skills, with the ability to maintain structured systems and accurate documentation. Self-motivated with a strong sense of ownership and responsibility for maintaining high standards. Methodical and detail-oriented, with a disciplined approach to processes and systems. Trustworthy and discreet when handling sensitive or confidential information. Comfortable working with structured procedures, standards and technical systems. Initiative and adaptability when identifying improvements to systems and workflows. A professional and collaborative manner, contributing positively to the wider team. Motivated by contributing to a positive company culture and supporting colleagues across the organisation. Technical Background and Experience Candidates should have practical experience or a strong technical foundation in one or more of the following areas: Cloud platforms and hosted services, such as Microsoft Azure, AWS or equivalent environments. IT infrastructure, systems administration or technical support. Identity and access management, user permissions and secure account administration. Information security principles, including system access, data handling, monitoring and incident escalation. Configuration, testing, troubleshooting and documentation of digital systems. Practical experience using modern AI tools to deliver reliable business outcomes in an explainable and responsible manner, with an understanding of their limitations and ethical use. Experience of working within structured governance frameworks or management systems, such as ISO 9001, ISO 27001 or equivalent quality, security or operational standards. About Geologix Geologix Limited is a tech company that provides services and software to worldwide clients within the international energy industry. We develop a range of applications, cloud systems and services covering workflows such as real-time data management, data analysis and insights generation and delivery. We are a global team of geoscientists, software engineers and business support professionals who strive to help each other in our daily work. We have an open plan, open door culture where our commitment to our customers drives our collaborative and supportive nature. We take pride in exceeding client expectations through dependable software and service, supported by a culture of care and respect. Hours and Environment Office hours with scope for remote working, Monday to Friday with rotational out of hours support cover. Modern office space with close amenities, car parking and nearby public transport. Employment package includes 25 days paid leave per annum, a personal pension plan contribution, gym membership, scope for remote working and regular office social events. This position is only open to candidates who are eligible to work in the UK.
Aug 13, 2026
Full time
Digital Assurance Take ownership of the quality and security of the digital systems at a global software company serving the energy industry. Job Type: Full Time, Permanent Location: Norwich, UK Salary: £29 000 pa Geologix is seeking an adaptable, organised and energetic individual to join its Norwich team to strengthen and maintain the security, quality and reliability of the company s digital systems and processes. This new role within Geologix will be tasked with ensuring the organisation operates with clear standards, disciplined processes and secure digital practices, supporting both operational efficiency and organisational resilience. Strong candidates will show high motivation and drive to achieve, be diligent in their work but adaptable in their responsibilities. Training on our systems and current processes is provided, but experience with cloud infrastructure, information governance and procedural compliance is preferred. Role Responsibilities The successful candidate will: Develop a comprehensive understanding of the company's technology stack, cloud platforms and operational workflows, using that knowledge to continually improve the quality, security and resilience of our digital environment. Work closely with Business and Development teams to support system configuration, testing and improvement activities. Support the development and maintenance of the company s information security practices, ensuring they align with internal systems and products. Promote awareness of the company s security posture across staff and customers through clear communication, documentation and participation in meetings. Maintain the Quality Management System (QMS) and Information Security Management System (ISMS), ensuring they remain accurate, relevant and effective. Be responsible for information security event monitoring, reporting and escalation. Coordinate internal and external audits, maintaining risk registers, corrective action logs and compliance records. Support continuous improvement initiatives, including process refinement and staff awareness of quality and security standards. This fast-paced hybrid role will provide variation and significance on a daily basis. Supporting customer deployments and internal R&D initiatives simultaneously will require a dedicated and quick-thinking candidate. The candidate will help shape the impact and trajectory of this new role, which has the potential to evolve with their natural strengths and passions. Attributes and Character Geologix is looking for individuals who demonstrate the following attributes: Excellent communication skills, both written and verbal, with the ability to explain procedures and technical concepts clearly. Strong organisational and time-management skills, with the ability to maintain structured systems and accurate documentation. Self-motivated with a strong sense of ownership and responsibility for maintaining high standards. Methodical and detail-oriented, with a disciplined approach to processes and systems. Trustworthy and discreet when handling sensitive or confidential information. Comfortable working with structured procedures, standards and technical systems. Initiative and adaptability when identifying improvements to systems and workflows. A professional and collaborative manner, contributing positively to the wider team. Motivated by contributing to a positive company culture and supporting colleagues across the organisation. Technical Background and Experience Candidates should have practical experience or a strong technical foundation in one or more of the following areas: Cloud platforms and hosted services, such as Microsoft Azure, AWS or equivalent environments. IT infrastructure, systems administration or technical support. Identity and access management, user permissions and secure account administration. Information security principles, including system access, data handling, monitoring and incident escalation. Configuration, testing, troubleshooting and documentation of digital systems. Practical experience using modern AI tools to deliver reliable business outcomes in an explainable and responsible manner, with an understanding of their limitations and ethical use. Experience of working within structured governance frameworks or management systems, such as ISO 9001, ISO 27001 or equivalent quality, security or operational standards. About Geologix Geologix Limited is a tech company that provides services and software to worldwide clients within the international energy industry. We develop a range of applications, cloud systems and services covering workflows such as real-time data management, data analysis and insights generation and delivery. We are a global team of geoscientists, software engineers and business support professionals who strive to help each other in our daily work. We have an open plan, open door culture where our commitment to our customers drives our collaborative and supportive nature. We take pride in exceeding client expectations through dependable software and service, supported by a culture of care and respect. Hours and Environment Office hours with scope for remote working, Monday to Friday with rotational out of hours support cover. Modern office space with close amenities, car parking and nearby public transport. Employment package includes 25 days paid leave per annum, a personal pension plan contribution, gym membership, scope for remote working and regular office social events. This position is only open to candidates who are eligible to work in the UK.
Analytical Chemist £Competitive + Bonus South East, Permanent ABJ6715 Are you an Analytical Chemist looking to take the next step in your career with a global industry leader? Do you enjoy developing innovative analytical methods, GC-MS and LC-MS solving complex technical challenges, and working with advanced instrumentation? An exciting opportunity has arisen for an Analytical Chemist to join a growing international organisation at the forefront of specialty chemicals innovation. This role offers the chance to work on cutting-edge projects, influence global analytical standards, and collaborate with R&D, Technical and Application teams across the business. The Opportunity Reporting to the Analytical Manager, you will play a key role in developing, validating and implementing advanced analytical methodologies that support innovation and product development across multiple technology platforms. You'll be part of a highly respected analytical team, using your expertise to drive scientific excellence and continuous improvement. For this role, it is essential that you have experience developing analytical methods from scratch. Method development is a key requirement and one of the main criteria the client will be assessing This position is ideal for a scientist with experience in GC-MS and/or LC-MS , who enjoys method development, problem-solving and applying analytical science to real-world commercial challenges. Key Responsibilities Develop, validate and implement analytical methods to support global R&D, Technical and Application teams. Deliver robust analytical solutions for new product development, troubleshooting and long-term strategic projects. Ensure analytical methodologies meet rigorous validation requirements and ISO standards. Train laboratory personnel on newly developed methods and best analytical practices. Collaborate with cross-functional teams to establish harmonised analytical approaches across the organisation. Present technical findings and recommendations to key stakeholders. Maintain and calibrate analytical instrumentation including GC, GC-MS, HPLC, LC-MS and FTIR. Drive continuous improvement initiatives using Lean and Design of Experiments (DoE) methodologies. Promote and maintain high laboratory safety standards in accordance with company SHE policies. Qualifications & Experience Degree-qualified scientist with a passion for analytical chemistry and method development. Pref: specialty chemicals, polymers, coatings, materials science, CROs, pharmaceuticals, environmental testing or related analytical environments. Hands-on experience with GC-MS and/or LC-MS. Experience in analytical method development and validation. Strong analytical, data interpretation and problem-solving skills. Pref Experience within an ISO 17025 environment. Knowledge of DoE and Lean methodologies. Experience with FTIR, Rheometry, GPC, SPME, thermal desorption or related techniques. Exposure to areas like polymers, adhesives, coatings, composites, plastics, rubber or advanced materials. Understanding of regulatory requirements, intellectual property and patent awareness. Benefits: Competitive salary; Performance-related bonus; Private healthcare ; Contributory pension scheme. Regular company social events. For a confidential discussion, please contact Alison Basson on (phone number removed) or (phone number removed) , or email your CV quoting Ref: ABJ715 to
Aug 12, 2026
Full time
Analytical Chemist £Competitive + Bonus South East, Permanent ABJ6715 Are you an Analytical Chemist looking to take the next step in your career with a global industry leader? Do you enjoy developing innovative analytical methods, GC-MS and LC-MS solving complex technical challenges, and working with advanced instrumentation? An exciting opportunity has arisen for an Analytical Chemist to join a growing international organisation at the forefront of specialty chemicals innovation. This role offers the chance to work on cutting-edge projects, influence global analytical standards, and collaborate with R&D, Technical and Application teams across the business. The Opportunity Reporting to the Analytical Manager, you will play a key role in developing, validating and implementing advanced analytical methodologies that support innovation and product development across multiple technology platforms. You'll be part of a highly respected analytical team, using your expertise to drive scientific excellence and continuous improvement. For this role, it is essential that you have experience developing analytical methods from scratch. Method development is a key requirement and one of the main criteria the client will be assessing This position is ideal for a scientist with experience in GC-MS and/or LC-MS , who enjoys method development, problem-solving and applying analytical science to real-world commercial challenges. Key Responsibilities Develop, validate and implement analytical methods to support global R&D, Technical and Application teams. Deliver robust analytical solutions for new product development, troubleshooting and long-term strategic projects. Ensure analytical methodologies meet rigorous validation requirements and ISO standards. Train laboratory personnel on newly developed methods and best analytical practices. Collaborate with cross-functional teams to establish harmonised analytical approaches across the organisation. Present technical findings and recommendations to key stakeholders. Maintain and calibrate analytical instrumentation including GC, GC-MS, HPLC, LC-MS and FTIR. Drive continuous improvement initiatives using Lean and Design of Experiments (DoE) methodologies. Promote and maintain high laboratory safety standards in accordance with company SHE policies. Qualifications & Experience Degree-qualified scientist with a passion for analytical chemistry and method development. Pref: specialty chemicals, polymers, coatings, materials science, CROs, pharmaceuticals, environmental testing or related analytical environments. Hands-on experience with GC-MS and/or LC-MS. Experience in analytical method development and validation. Strong analytical, data interpretation and problem-solving skills. Pref Experience within an ISO 17025 environment. Knowledge of DoE and Lean methodologies. Experience with FTIR, Rheometry, GPC, SPME, thermal desorption or related techniques. Exposure to areas like polymers, adhesives, coatings, composites, plastics, rubber or advanced materials. Understanding of regulatory requirements, intellectual property and patent awareness. Benefits: Competitive salary; Performance-related bonus; Private healthcare ; Contributory pension scheme. Regular company social events. For a confidential discussion, please contact Alison Basson on (phone number removed) or (phone number removed) , or email your CV quoting Ref: ABJ715 to
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.
Aug 12, 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.
Lead Azure Databricks Platform Engineer / Architect Hands-on Platform Engineering Serverless FinOps POSIT/RStudio Migration 6 Month contract Inside IR35 - 500 a day London/Hybrid Role Purpose We are seeking a highly experienced, hands-on Azure Databricks Platform Engineer / Architect to enhance and optimise an enterprise Data Platform. The role combines architecture with direct implementation: the successful candidate must be able to configure, develop, troubleshoot and optimise Azure Databricks rather than operate only at design or governance level. The role is centred on three outcomes: enabling and optimising Databricks Serverless, strengthening FinOps and platform controls, and enhancing the Databricks Discovery Zone to support workloads currently delivered through POSIT/RStudio. Key Responsibilities 1. Databricks Serverless Enablement and Optimisation Assess existing workloads and determine suitability for Serverless, classic, job or interactive compute based on duration, utilisation, SLA, concurrency, performance and cost. Enable and configure Serverless for appropriate jobs, SQL workloads, notebooks, analytical processing and data pipelines. Establish workload-placement guidance, including when Serverless is not economical for predictable, heavy or continuously running workloads. Implement compute policies, autoscaling, quotas, budget controls and operational guardrails. Measure cost and performance outcomes, identify idle or oversized compute, and recommend optimisation actions. 2. FinOps and Enterprise Platform Controls Define and embed a practical FinOps operating model covering ownership, accountability, projects, environments, teams, applications and cost centres. Implement mandatory tagging and integrate validation into CI/CD so non-compliant resources are prevented from being provisioned. Provide granular cost attribution by workspace, project, application, workload, job and team/user where technically appropriate. Implement budget policies, thresholds, proactive alerts and usage reporting to prevent uncontrolled spend. Use platform usage and billing data to identify idle compute, inefficient workloads, unnecessary storage/data movement and cost anomalies. 3. Databricks Discovery Zone and POSIT/RStudio Migration Enhance the Databricks Discovery Zone to support migration from POSIT/RStudio Enable application deployment, secure API integrations, external data ingestion, LLM integration, scheduling, BI connectivity, local IDE-based development and operational reporting. Define reusable onboarding and migration patterns that reduce technology sprawl while improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration patterns for REST APIs, SaaS platforms, databases, files, object storage, document repositories, enterprise applications and public/external data providers. Implement secure authentication and credential handling for external and internal integrations. Build end-to-end data flows from source through governed ingestion and curated layers to BI, ML or application consumption. Required Hands-on Technical Skills Deep hands-on Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration patterns FinOps, cost attribution, tagging, budgets, monitoring and operational support Experience and Candidate Profile Significant experience delivering enterprise Azure Databricks platforms in production environments. Demonstrable ability to move between architecture, implementation, debugging and optimisation without depending entirely on specialist engineering teams. Strong understanding of platform security, data governance, operational support and controlled delivery in regulated or complex enterprises. Experience working collaboratively with data engineers, data scientists, architects, security teams, platform teams and business stakeholders. Clear communication skills and the ability to document standards, patterns, decisions and operational guidance. Highly Desirable but not Mandatory POSIT/RStudio migration or consolidation experience. Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation and FinOps delivery experience across Azure and Databricks.
Aug 12, 2026
Contractor
Lead Azure Databricks Platform Engineer / Architect Hands-on Platform Engineering Serverless FinOps POSIT/RStudio Migration 6 Month contract Inside IR35 - 500 a day London/Hybrid Role Purpose We are seeking a highly experienced, hands-on Azure Databricks Platform Engineer / Architect to enhance and optimise an enterprise Data Platform. The role combines architecture with direct implementation: the successful candidate must be able to configure, develop, troubleshoot and optimise Azure Databricks rather than operate only at design or governance level. The role is centred on three outcomes: enabling and optimising Databricks Serverless, strengthening FinOps and platform controls, and enhancing the Databricks Discovery Zone to support workloads currently delivered through POSIT/RStudio. Key Responsibilities 1. Databricks Serverless Enablement and Optimisation Assess existing workloads and determine suitability for Serverless, classic, job or interactive compute based on duration, utilisation, SLA, concurrency, performance and cost. Enable and configure Serverless for appropriate jobs, SQL workloads, notebooks, analytical processing and data pipelines. Establish workload-placement guidance, including when Serverless is not economical for predictable, heavy or continuously running workloads. Implement compute policies, autoscaling, quotas, budget controls and operational guardrails. Measure cost and performance outcomes, identify idle or oversized compute, and recommend optimisation actions. 2. FinOps and Enterprise Platform Controls Define and embed a practical FinOps operating model covering ownership, accountability, projects, environments, teams, applications and cost centres. Implement mandatory tagging and integrate validation into CI/CD so non-compliant resources are prevented from being provisioned. Provide granular cost attribution by workspace, project, application, workload, job and team/user where technically appropriate. Implement budget policies, thresholds, proactive alerts and usage reporting to prevent uncontrolled spend. Use platform usage and billing data to identify idle compute, inefficient workloads, unnecessary storage/data movement and cost anomalies. 3. Databricks Discovery Zone and POSIT/RStudio Migration Enhance the Databricks Discovery Zone to support migration from POSIT/RStudio Enable application deployment, secure API integrations, external data ingestion, LLM integration, scheduling, BI connectivity, local IDE-based development and operational reporting. Define reusable onboarding and migration patterns that reduce technology sprawl while improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration patterns for REST APIs, SaaS platforms, databases, files, object storage, document repositories, enterprise applications and public/external data providers. Implement secure authentication and credential handling for external and internal integrations. Build end-to-end data flows from source through governed ingestion and curated layers to BI, ML or application consumption. Required Hands-on Technical Skills Deep hands-on Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration patterns FinOps, cost attribution, tagging, budgets, monitoring and operational support Experience and Candidate Profile Significant experience delivering enterprise Azure Databricks platforms in production environments. Demonstrable ability to move between architecture, implementation, debugging and optimisation without depending entirely on specialist engineering teams. Strong understanding of platform security, data governance, operational support and controlled delivery in regulated or complex enterprises. Experience working collaboratively with data engineers, data scientists, architects, security teams, platform teams and business stakeholders. Clear communication skills and the ability to document standards, patterns, decisions and operational guidance. Highly Desirable but not Mandatory POSIT/RStudio migration or consolidation experience. Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation and FinOps delivery experience across Azure and Databricks.
The Rosalind Franklin Institute
Harwell, Oxfordshire
Postdoctoral Researcher in Quantitative Cell Biology/Biochemistry SALARY: From £39,500 per annum (depending on skills and experience) + Benefits JOB TYPE: Full-Time, 18 Months Fixed-Term Contract (with the possibility of extension) LOCATION: Didcot, Oxfordshire The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. If you are a creative scientist who would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in the epithelial tissue and glycobiology. We use super-resolution STED microscopy, CryoET, in combination with biophysics and chemical biology, to uncover how epithelial cells organise in space and time under different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue function. As a Postdoctoral Researcher at the Rosalind Franklin Institute, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy analysis. We are looking for a colleague with strong organisational and communication skills, with demonstrated laboratory experience. Experience in formulating research questions and devising strategies to address these questions would aid the individual selected for this role. We expect you to lead publications, contribute to research grant writing, collaborate with other members of the lab towards knowledge advancement. This post would be ideal for a candidate who has developed a strong background in imaging quantitative biology, biophysics or in vitro reconstitution and would like to lead a project developing novel imaging tools to understand different biomolecules of cell-cell interfaces and who would like to gain further experience in cutting edge techniques including super-resolution imaging, condensate biology and CryoET. Key Responsibilities Your primary task will be to lead a project on quantitative cell biology of cell interfaces. You will develop novel tools to visualise biomolecules (lipids, glycans, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based on super-resolution fluorescence and CryoET and will need to analyse data. We encourage applicants with a broad experimental-analytical interest, as the job holder will contribute both to the development of new methods and their application to investigate the organisation and dynamics of cell interfaces. As a Postdoctoral Researcher, you will also: Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research reports, patent applications) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around key Franklin's Challenges. Lead major contributions to research outputs including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to your own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchange of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Franklin's Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 23rd August 2026. Interviews are planned for w/c 14th September 2026. Key Words Postdoctoral Research Associate, Postdoctoral Research Scientist, Research Fellow, Research Associate, Postdoctoral Scientist, Cell Biology Researcher, Biochemistry Researcher, Biophysics Researcher, Quantitative Cell Biology Researcher, Bioimaging
Aug 12, 2026
Contractor
Postdoctoral Researcher in Quantitative Cell Biology/Biochemistry SALARY: From £39,500 per annum (depending on skills and experience) + Benefits JOB TYPE: Full-Time, 18 Months Fixed-Term Contract (with the possibility of extension) LOCATION: Didcot, Oxfordshire The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. If you are a creative scientist who would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in the epithelial tissue and glycobiology. We use super-resolution STED microscopy, CryoET, in combination with biophysics and chemical biology, to uncover how epithelial cells organise in space and time under different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue function. As a Postdoctoral Researcher at the Rosalind Franklin Institute, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy analysis. We are looking for a colleague with strong organisational and communication skills, with demonstrated laboratory experience. Experience in formulating research questions and devising strategies to address these questions would aid the individual selected for this role. We expect you to lead publications, contribute to research grant writing, collaborate with other members of the lab towards knowledge advancement. This post would be ideal for a candidate who has developed a strong background in imaging quantitative biology, biophysics or in vitro reconstitution and would like to lead a project developing novel imaging tools to understand different biomolecules of cell-cell interfaces and who would like to gain further experience in cutting edge techniques including super-resolution imaging, condensate biology and CryoET. Key Responsibilities Your primary task will be to lead a project on quantitative cell biology of cell interfaces. You will develop novel tools to visualise biomolecules (lipids, glycans, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based on super-resolution fluorescence and CryoET and will need to analyse data. We encourage applicants with a broad experimental-analytical interest, as the job holder will contribute both to the development of new methods and their application to investigate the organisation and dynamics of cell interfaces. As a Postdoctoral Researcher, you will also: Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research reports, patent applications) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around key Franklin's Challenges. Lead major contributions to research outputs including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to your own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchange of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Franklin's Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 23rd August 2026. Interviews are planned for w/c 14th September 2026. Key Words Postdoctoral Research Associate, Postdoctoral Research Scientist, Research Fellow, Research Associate, Postdoctoral Scientist, Cell Biology Researcher, Biochemistry Researcher, Biophysics Researcher, Quantitative Cell Biology Researcher, Bioimaging
