HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The Role We are seeking a curious, hands-on and motivated individual to join us as our Imaging Systems Engineer, to play a key role in the development, validation, and deployment of our surgical vision platform, spanning benchtop experimentation, data acquisition, system validation, and real-world system support. In this role, you will work at the intersection of optical imaging, instrumentation, and scientific software, supporting system validation and ensuring that our cameras, scopes, and accessories are characterised, calibrated, and validated to the standards required for surgical use. You will contribute to the design and execution of experiments for system-level characterisation, alongside the acquisition of high-quality reference datasets to support algorithm development and performance benchmarking. A particular focus of your work will be characterising the spectral performance and image quality of our surgical vision system. In addition, you will help translate benchtop performance into real-world settings by supporting system deployment, troubleshooting, and technical interactions with clinical and external partners. Working closely with our research scientists and system integration engineers, you will plan and execute benchtop experiments, build the automation that makes those experiments robust and repeatable, and produce the analyses that turn raw measurements into actionable engineering decisions. Your work will be foundational to the reliability and performance of our intraoperative imaging platform, supporting both ongoing maintenance of deployed clinical systems and the development of next-generation hardware. You will contribute to the technical records and performance baselines that underpin our regulatory submissions and post-market surveillance activities. Key Responsibilities Optical & Spectral Characterisation Plan, set up, and execute optical and imaging benchtop tests for new camera platforms, light sources, scopes, and accessories. Collect optical and spectral performance data and produce the analyses to interpret them, referencing defined performance metrics and acceptance criteria. Maintain accurate and up-to-date technical documentation of benchtop procedures, characterisation results, and component performance baselines, to the standard required for regulatory submissions. Acquisition Automation & Integration Design and implement automated data-acquisition routines in Python (or similar) for repeatable benchtop and integration testing, including scripted control of cameras, light sources, motion stages, and spectrometers via their respective hardware interfaces and SDKs. Develop and maintain scripts that link multiple instruments into reproducible, well-documented measurement workflows. Contribute to internal tooling that lowers the friction of routine characterisation, calibration, maintenance, and verification work across the team. Calibration & Maintenance Cycle Take ownership of routine calibration, maintenance and quality control across deployed clinical systems, including management of calibration schedules, traceability to reference standards, and clear pass/fail records. Support the development and formalisation of calibration and maintenance procedures as the number of deployed systems grows. Investigate anomalies and perform root-cause analysis on imaging performance issues identified in the lab or in the field. Cross-Functional Collaboration Work closely with research scientists, system integration engineers, software developers, clinical application specialists and the clinical development team members to bring learnings from the bench into product and pipeline improvements. Translate findings from characterisation and testing into clear, actionable input for engineering and product decisions. Contribute to test documentation and evidence packages in support of verification, validation, and regulatory submissions. About You You are a hands-on, methodical engineer who enjoys working in the lab, assembling optics-based rigs and writing scripts that makes lab work repeatable. You are comfortable bridging hardware and software, enjoying wiring up instrumentation, scripting acquisition pipelines, and analysing the resulting data. You take pride in well-characterised systems, well-documented procedures, and measurements that other people can rely on, including in regulated contexts where the quality of your records matters as much as the quality of your data. You bring: BSc or MSc (with strong practical experience) in Physics, Optics, Biomedical Engineering, Electrical Engineering, or a related technical discipline Hands-on experience with optical imaging systems and optics-bench measurements, including spectral and transmission characterisation, gain and exposure characterisation, and resolution or image quality assessment. Experience working with image and video data, including basic processing, quality assessment, and debugging of imaging pipelines. Comfortable interacting with clinicians, customers, or external partners to diagnose issues and translate them into engineering improvements Proficiency in Python (or similar) for instrument control, benchtop automation, and data analysis using scientific libraries (NumPy, SciPy, Pandas); experience interfacing Python with hardware via vendor SDKs or standard protocols Comfortable bridging hardware and software - wiring up cameras, light sources, and motion control to scripted acquisition pipelines Strong attention to detail and a methodical, documentation-first approach to lab work Excellent oral and written communication skills Analytical thinker, attentive to details, creative and a team player Experience working with hyperspectral, multispectral, or other scientific imaging cameras, including spectral and per-band performance characterisation Experience working in a regulated industry, preferably MedTech, including familiarity with ISO 13485-compliant laboratory practice Experience working with liquid tissue phantoms, tissue-mimicking optical materials, or comparable experimental imaging targets Bonus points if you bring a special talent, interest, language, or unique life experience to the team. What We Offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
26/07/2026
Full time
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The Role We are seeking a curious, hands-on and motivated individual to join us as our Imaging Systems Engineer, to play a key role in the development, validation, and deployment of our surgical vision platform, spanning benchtop experimentation, data acquisition, system validation, and real-world system support. In this role, you will work at the intersection of optical imaging, instrumentation, and scientific software, supporting system validation and ensuring that our cameras, scopes, and accessories are characterised, calibrated, and validated to the standards required for surgical use. You will contribute to the design and execution of experiments for system-level characterisation, alongside the acquisition of high-quality reference datasets to support algorithm development and performance benchmarking. A particular focus of your work will be characterising the spectral performance and image quality of our surgical vision system. In addition, you will help translate benchtop performance into real-world settings by supporting system deployment, troubleshooting, and technical interactions with clinical and external partners. Working closely with our research scientists and system integration engineers, you will plan and execute benchtop experiments, build the automation that makes those experiments robust and repeatable, and produce the analyses that turn raw measurements into actionable engineering decisions. Your work will be foundational to the reliability and performance of our intraoperative imaging platform, supporting both ongoing maintenance of deployed clinical systems and the development of next-generation hardware. You will contribute to the technical records and performance baselines that underpin our regulatory submissions and post-market surveillance activities. Key Responsibilities Optical & Spectral Characterisation Plan, set up, and execute optical and imaging benchtop tests for new camera platforms, light sources, scopes, and accessories. Collect optical and spectral performance data and produce the analyses to interpret them, referencing defined performance metrics and acceptance criteria. Maintain accurate and up-to-date technical documentation of benchtop procedures, characterisation results, and component performance baselines, to the standard required for regulatory submissions. Acquisition Automation & Integration Design and implement automated data-acquisition routines in Python (or similar) for repeatable benchtop and integration testing, including scripted control of cameras, light sources, motion stages, and spectrometers via their respective hardware interfaces and SDKs. Develop and maintain scripts that link multiple instruments into reproducible, well-documented measurement workflows. Contribute to internal tooling that lowers the friction of routine characterisation, calibration, maintenance, and verification work across the team. Calibration & Maintenance Cycle Take ownership of routine calibration, maintenance and quality control across deployed clinical systems, including management of calibration schedules, traceability to reference standards, and clear pass/fail records. Support the development and formalisation of calibration and maintenance procedures as the number of deployed systems grows. Investigate anomalies and perform root-cause analysis on imaging performance issues identified in the lab or in the field. Cross-Functional Collaboration Work closely with research scientists, system integration engineers, software developers, clinical application specialists and the clinical development team members to bring learnings from the bench into product and pipeline improvements. Translate findings from characterisation and testing into clear, actionable input for engineering and product decisions. Contribute to test documentation and evidence packages in support of verification, validation, and regulatory submissions. About You You are a hands-on, methodical engineer who enjoys working in the lab, assembling optics-based rigs and writing scripts that makes lab work repeatable. You are comfortable bridging hardware and software, enjoying wiring up instrumentation, scripting acquisition pipelines, and analysing the resulting data. You take pride in well-characterised systems, well-documented procedures, and measurements that other people can rely on, including in regulated contexts where the quality of your records matters as much as the quality of your data. You bring: BSc or MSc (with strong practical experience) in Physics, Optics, Biomedical Engineering, Electrical Engineering, or a related technical discipline Hands-on experience with optical imaging systems and optics-bench measurements, including spectral and transmission characterisation, gain and exposure characterisation, and resolution or image quality assessment. Experience working with image and video data, including basic processing, quality assessment, and debugging of imaging pipelines. Comfortable interacting with clinicians, customers, or external partners to diagnose issues and translate them into engineering improvements Proficiency in Python (or similar) for instrument control, benchtop automation, and data analysis using scientific libraries (NumPy, SciPy, Pandas); experience interfacing Python with hardware via vendor SDKs or standard protocols Comfortable bridging hardware and software - wiring up cameras, light sources, and motion control to scripted acquisition pipelines Strong attention to detail and a methodical, documentation-first approach to lab work Excellent oral and written communication skills Analytical thinker, attentive to details, creative and a team player Experience working with hyperspectral, multispectral, or other scientific imaging cameras, including spectral and per-band performance characterisation Experience working in a regulated industry, preferably MedTech, including familiarity with ISO 13485-compliant laboratory practice Experience working with liquid tissue phantoms, tissue-mimicking optical materials, or comparable experimental imaging targets Bonus points if you bring a special talent, interest, language, or unique life experience to the team. What We Offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
26/07/2026
Full time
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team You'll join the Core Systems team, who are responsible for driving innovation across the business by optimising development, building data systems, and continuously improving iwoca products. We follow Agile-inspired processes, using continuous integration and delivery, so that features go live in days or weeks, not months or years. The role We are in the process of transitioning our entire analytics warehouse to Snowflake, from a federated SQL system to improve reliability and speed of accessing our wide data ecosystem. We run a variety of time consuming ETL tasks using libraries such as NumPy, Scikit-learn, Pandas, and view/tables from a variety of relational databases. The aim is to integrate and transition all to a single data warehouse using Snowflake and dbt. We are looking for someone who has a solid amount of experience in analytics engineering, who can advise and implement high quality and reliable ETL/ELT processes to bridge the gap between data engineering and analytics. Who will collaborate with analysts, data scientists and engineers to deliver and improve our data warehouse and processes. You will have the opportunity to learn lots and develop rapidly, with the ability to influence critical data infrastructure. We are embarking on a transition to a data mesh operating model and are looking for a proactive, self-motivated individual to help drive this change. The successful candidate will identify opportunities to improve data processes, enable self-service access across the organisation, and design the governance frameworks and guardrails required to ensure data quality, security, and consistency. The responsibilities Develop, construct, test and maintain ETL/ELT infrastructure. Implement robust data testing frameworks in dbt to monitor and ensure data quality and integrity. Enable product teams to self-serve data more effectively, empowering them to make faster, more informed decisions. Influence and shape the monitoring, observability, and reliability strategy for the data warehouse, ensuring high availability, performance, and data quality. Partner with analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable solutions. Troubleshoot emerging data and operational problems, and be a source of knowledge for end-users on the most appropriate way of using data for their purposes. Support your teammates by learning and sharing your knowledge. Drive knowledge sharing and capability building through mentoring, coaching, and the creation of educational resources and best practices. The requirements Essential: Experience in implementing reliable and performant ETL/ELT pipelines. Experience with version control systems (e.g., Git) for dbt project management. Knowledge of CI/CD pipelines for analytics workflows. Experience with programming languages such as Python. Familiarity with data governance practices and frameworks. Professional experience in analytics engineering / data analytics. Solid understanding of SQL with hands on experience with dbt and Snowflake. Comfortable implementing custom (in-house) data solutions where off-the-shelf products are unavailable or unsuitable. Bonus: Advanced LookML knowledge. Experience using Pandas (TensorFlow, Scikit-learn, Matplotlib). DevOps practices Docker and Kubernetes. Understanding of data science concepts. Professional experience or a degree in a quantitative field, such as Mathematics, Physics, Engineering, or Computer Sciences. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
25/07/2026
Full time
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team You'll join the Core Systems team, who are responsible for driving innovation across the business by optimising development, building data systems, and continuously improving iwoca products. We follow Agile-inspired processes, using continuous integration and delivery, so that features go live in days or weeks, not months or years. The role We are in the process of transitioning our entire analytics warehouse to Snowflake, from a federated SQL system to improve reliability and speed of accessing our wide data ecosystem. We run a variety of time consuming ETL tasks using libraries such as NumPy, Scikit-learn, Pandas, and view/tables from a variety of relational databases. The aim is to integrate and transition all to a single data warehouse using Snowflake and dbt. We are looking for someone who has a solid amount of experience in analytics engineering, who can advise and implement high quality and reliable ETL/ELT processes to bridge the gap between data engineering and analytics. Who will collaborate with analysts, data scientists and engineers to deliver and improve our data warehouse and processes. You will have the opportunity to learn lots and develop rapidly, with the ability to influence critical data infrastructure. We are embarking on a transition to a data mesh operating model and are looking for a proactive, self-motivated individual to help drive this change. The successful candidate will identify opportunities to improve data processes, enable self-service access across the organisation, and design the governance frameworks and guardrails required to ensure data quality, security, and consistency. The responsibilities Develop, construct, test and maintain ETL/ELT infrastructure. Implement robust data testing frameworks in dbt to monitor and ensure data quality and integrity. Enable product teams to self-serve data more effectively, empowering them to make faster, more informed decisions. Influence and shape the monitoring, observability, and reliability strategy for the data warehouse, ensuring high availability, performance, and data quality. Partner with analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable solutions. Troubleshoot emerging data and operational problems, and be a source of knowledge for end-users on the most appropriate way of using data for their purposes. Support your teammates by learning and sharing your knowledge. Drive knowledge sharing and capability building through mentoring, coaching, and the creation of educational resources and best practices. The requirements Essential: Experience in implementing reliable and performant ETL/ELT pipelines. Experience with version control systems (e.g., Git) for dbt project management. Knowledge of CI/CD pipelines for analytics workflows. Experience with programming languages such as Python. Familiarity with data governance practices and frameworks. Professional experience in analytics engineering / data analytics. Solid understanding of SQL with hands on experience with dbt and Snowflake. Comfortable implementing custom (in-house) data solutions where off-the-shelf products are unavailable or unsuitable. Bonus: Advanced LookML knowledge. Experience using Pandas (TensorFlow, Scikit-learn, Matplotlib). DevOps practices Docker and Kubernetes. Understanding of data science concepts. Professional experience or a degree in a quantitative field, such as Mathematics, Physics, Engineering, or Computer Sciences. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
An opportunity has arisen for a Software Engineer to join our Data Solutions Programming team About the Role We are looking for a proactive and adaptable Software Engineer with strong full-stack development skills. The successful candidate will be proficient in front-end development using Angular and back-end development using .NET C#, with SQL database management experience being highly desirable. You will join a small, experienced programming team within Data Solutions, working closely with business analysts, data scientists and domain specialists. You will have the opportunity to take ownership of features, influence technical approaches and see your work used directly by customers. Hybrid working, with regular attendance at our Stonehouse office expected, particularly for team collaboration, project kick-offs and customer-facing work. You will work directly with customers, clients and internal stakeholders to understand requirements, clarify user needs, and translate them into practical, user-focused software solutions. The role would suit someone who is comfortable exploring novel technical approaches, turning ideas into working solutions quickly, and using AI-assisted development tools responsibly to support high-quality delivery. Key responsibilities will include: Designing, developing and maintaining secure web-based software solutions Translating user and customer requirements into practical software features Delivering front-end functionality using Angular or similar modern frameworks Working with C#, ASP.NET and SQL Server-based applications Using AI-assisted development tools securely and responsibly to support prototyping, delivery and problem-solving Collaborating with developers, business analysts, data scientists and domain specialists Leading the Way with AI-Assisted Development At Allan Webb Ltd, we are actively adopting secure AI-assisted development practices. We leverage tools such as GitHub Copilot for Visual Studio to enhance productivity whilst maintaining our commitment to secure by design principles. Experience with AI-assisted development tools will be advantageous as we continue to innovate and adopt cutting edge development practices. You will also work closely with our specialist Data Science team, who develop AI and data driven solutions for internal and customer facing projects. Experience & Skills: Minimum 2 years' commercial software development experience Experience with SQL Server or similar relational databases Experience building web applications using Angular, React, Blazor or similar Understanding of OWASP security best practices and secure by design principles Ability to communicate with technical and non technical stakeholders Ability to estimate, prioritise and deliver work in a small collaborative team Experience with DevExtreme and DevExpress component libraries Experience with AI-assisted development tools such as GitHub Copilot for Visual Studio, or similar. Knowledge of PostgreSQL databases Experience with Microsoft DevOps and CI/CD pipelines Understanding of Windows Services and SSIS packages Knowledge of EDMX and MS Entity Framework Experience with Blazor Relevant Microsoft, cloud, security or software development certifications, or a willingness to work towards them. What We Offer Flexible hybrid working (office-based and remote) Company pension scheme Family events and days out Cycle to work scheme Good career progression opportunities as we continue on an impressive growth path Security Clearance Successful applicants will be required to be security cleared prior to appointment. You will require the right to work in the UK. About Us Allan Webb Ltd is at the forefront of technical documentation and data management with an unrivalled track record spanning more than 50 years. We're a leading supplier of technical writing, technical translation, technical illustrating and integrated logistics support services to government and industry clients throughout the UK and Europe. We're also one of the leading providers of bureau scanning services in the UK. Our Data Solutions department is delivering innovative data management solutions backed up by industry experts. You will help build software that turns complex technical documentation and defence/support data into usable digital tools for real customers. Allan Webb Ltd is committed to maintaining a flexible working environment that supports our team members.
20/07/2026
Full time
An opportunity has arisen for a Software Engineer to join our Data Solutions Programming team About the Role We are looking for a proactive and adaptable Software Engineer with strong full-stack development skills. The successful candidate will be proficient in front-end development using Angular and back-end development using .NET C#, with SQL database management experience being highly desirable. You will join a small, experienced programming team within Data Solutions, working closely with business analysts, data scientists and domain specialists. You will have the opportunity to take ownership of features, influence technical approaches and see your work used directly by customers. Hybrid working, with regular attendance at our Stonehouse office expected, particularly for team collaboration, project kick-offs and customer-facing work. You will work directly with customers, clients and internal stakeholders to understand requirements, clarify user needs, and translate them into practical, user-focused software solutions. The role would suit someone who is comfortable exploring novel technical approaches, turning ideas into working solutions quickly, and using AI-assisted development tools responsibly to support high-quality delivery. Key responsibilities will include: Designing, developing and maintaining secure web-based software solutions Translating user and customer requirements into practical software features Delivering front-end functionality using Angular or similar modern frameworks Working with C#, ASP.NET and SQL Server-based applications Using AI-assisted development tools securely and responsibly to support prototyping, delivery and problem-solving Collaborating with developers, business analysts, data scientists and domain specialists Leading the Way with AI-Assisted Development At Allan Webb Ltd, we are actively adopting secure AI-assisted development practices. We leverage tools such as GitHub Copilot for Visual Studio to enhance productivity whilst maintaining our commitment to secure by design principles. Experience with AI-assisted development tools will be advantageous as we continue to innovate and adopt cutting edge development practices. You will also work closely with our specialist Data Science team, who develop AI and data driven solutions for internal and customer facing projects. Experience & Skills: Minimum 2 years' commercial software development experience Experience with SQL Server or similar relational databases Experience building web applications using Angular, React, Blazor or similar Understanding of OWASP security best practices and secure by design principles Ability to communicate with technical and non technical stakeholders Ability to estimate, prioritise and deliver work in a small collaborative team Experience with DevExtreme and DevExpress component libraries Experience with AI-assisted development tools such as GitHub Copilot for Visual Studio, or similar. Knowledge of PostgreSQL databases Experience with Microsoft DevOps and CI/CD pipelines Understanding of Windows Services and SSIS packages Knowledge of EDMX and MS Entity Framework Experience with Blazor Relevant Microsoft, cloud, security or software development certifications, or a willingness to work towards them. What We Offer Flexible hybrid working (office-based and remote) Company pension scheme Family events and days out Cycle to work scheme Good career progression opportunities as we continue on an impressive growth path Security Clearance Successful applicants will be required to be security cleared prior to appointment. You will require the right to work in the UK. About Us Allan Webb Ltd is at the forefront of technical documentation and data management with an unrivalled track record spanning more than 50 years. We're a leading supplier of technical writing, technical translation, technical illustrating and integrated logistics support services to government and industry clients throughout the UK and Europe. We're also one of the leading providers of bureau scanning services in the UK. Our Data Solutions department is delivering innovative data management solutions backed up by industry experts. You will help build software that turns complex technical documentation and defence/support data into usable digital tools for real customers. Allan Webb Ltd is committed to maintaining a flexible working environment that supports our team members.
About Atos Group Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI powered, end to end solutions for all industries. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. Responsibilities Taking responsibility for the application PostgreSQL database cluster across multiple environments across cloud & on premises Monitoring and tuning to optimise PostgreSQL database performance Handling migration of data structures across database instances, including to offline environments Owning the data models and managing the lifecycle of data sitting within the Postgres database Working closely with data pipeline engineers & data scientists to ingest a wide range of data sources Managing security controls across environments, including defining roles & permissions, as well as RLS controls for the data Working directly with the infrastructure team to configure the installation and manage patching of the databases across all environments Skills We Can't Do Without PostgreSQL dba: core development / maintenance and performance optimisation (sharding, partitions). Experience with clustering, and extensions such as pgvector, PostGIS, and AGE very useful. Strong PostgreSQL database management skills: Performance optimisation - index tuning, execution plan analysis, query optimisation, data partitioning Backup and recovery - capable of defining backup strategies based on environment constraints Clustering - experience with managing database clusters, including handling failover strategies Experience with data modelling: designing, creating & managing schemas, tables, and views to support the data models Understanding best practices for storing JSON objects within PostgreSQL Clear communication & ability to work collaboratively with developers to define & implement data model requirements Essential Criteria - BPSS Eligibility SC cleared as a minimum, DV as a target, you must have lived and worked in the UK continuously for the past 5 7 years. Location Mostly remote with 1 2 days per week on client site where there is an S terminal. Locations nationally (typically Andover, Corsham, London but opportunities for Edinburgh, Catterick and Manchester areas) Benefits Pension Scheme - contributions matched up to 10% Private medical cover Income protection Life assurance 25 days paid leave + National holidays Flex benefits programme Diversity, Equity & Inclusion Atos is a Disability Confident employer and encourages applications from all applicants, especially differently abled applicants. We are committed to offering reasonable adjustments to accommodate your needs and maintain a fair work environment for all. Atos is a recognised leader in its industry across ESG criteria. Choose your future. Choose Atos.
19/07/2026
Full time
About Atos Group Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI powered, end to end solutions for all industries. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. Responsibilities Taking responsibility for the application PostgreSQL database cluster across multiple environments across cloud & on premises Monitoring and tuning to optimise PostgreSQL database performance Handling migration of data structures across database instances, including to offline environments Owning the data models and managing the lifecycle of data sitting within the Postgres database Working closely with data pipeline engineers & data scientists to ingest a wide range of data sources Managing security controls across environments, including defining roles & permissions, as well as RLS controls for the data Working directly with the infrastructure team to configure the installation and manage patching of the databases across all environments Skills We Can't Do Without PostgreSQL dba: core development / maintenance and performance optimisation (sharding, partitions). Experience with clustering, and extensions such as pgvector, PostGIS, and AGE very useful. Strong PostgreSQL database management skills: Performance optimisation - index tuning, execution plan analysis, query optimisation, data partitioning Backup and recovery - capable of defining backup strategies based on environment constraints Clustering - experience with managing database clusters, including handling failover strategies Experience with data modelling: designing, creating & managing schemas, tables, and views to support the data models Understanding best practices for storing JSON objects within PostgreSQL Clear communication & ability to work collaboratively with developers to define & implement data model requirements Essential Criteria - BPSS Eligibility SC cleared as a minimum, DV as a target, you must have lived and worked in the UK continuously for the past 5 7 years. Location Mostly remote with 1 2 days per week on client site where there is an S terminal. Locations nationally (typically Andover, Corsham, London but opportunities for Edinburgh, Catterick and Manchester areas) Benefits Pension Scheme - contributions matched up to 10% Private medical cover Income protection Life assurance 25 days paid leave + National holidays Flex benefits programme Diversity, Equity & Inclusion Atos is a Disability Confident employer and encourages applications from all applicants, especially differently abled applicants. We are committed to offering reasonable adjustments to accommodate your needs and maintain a fair work environment for all. Atos is a recognised leader in its industry across ESG criteria. Choose your future. Choose Atos.
AI Agent Engineer / Machine Learning Engineer SC Cleared Remote 465/day Inside IR35 Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power AI-driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that solve real-world business challenges. Contract Details: Duration: Initial 3-month contract (likely extension) Location: Fully Remote (UK) Rate: 465 per day IR35: Inside IR35 Clearance: Active SC Clearance is essential You'll be responsible for: Designing and developing AI agents using modern LLM frameworks Building Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources Developing and deploying Machine Learning models for intelligent decision-making Integrating AI services with enterprise APIs and data platforms Engineering prompts, tool calling and agent workflows Working with structured and unstructured data to improve AI performance Collaborating with software engineers, data scientists and architects to deliver secure AI solutions Ensuring solutions meet security, governance and compliance requirements expected within government environment Requirements Active SC Clearance (mandatory) Experience in AI Agent Engineering or Machine Learning Engineering. Available to start in August Strong communication skills and experience working within Agile delivery teams If you're an AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer or Software Engineer with hands-on experience building production AI solutions, I'd be keen to speak with you. Please apply with your latest CV or get in touch for a confidential discussion.
17/07/2026
Contractor
AI Agent Engineer / Machine Learning Engineer SC Cleared Remote 465/day Inside IR35 Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power AI-driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that solve real-world business challenges. Contract Details: Duration: Initial 3-month contract (likely extension) Location: Fully Remote (UK) Rate: 465 per day IR35: Inside IR35 Clearance: Active SC Clearance is essential You'll be responsible for: Designing and developing AI agents using modern LLM frameworks Building Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources Developing and deploying Machine Learning models for intelligent decision-making Integrating AI services with enterprise APIs and data platforms Engineering prompts, tool calling and agent workflows Working with structured and unstructured data to improve AI performance Collaborating with software engineers, data scientists and architects to deliver secure AI solutions Ensuring solutions meet security, governance and compliance requirements expected within government environment Requirements Active SC Clearance (mandatory) Experience in AI Agent Engineering or Machine Learning Engineering. Available to start in August Strong communication skills and experience working within Agile delivery teams If you're an AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer or Software Engineer with hands-on experience building production AI solutions, I'd be keen to speak with you. Please apply with your latest CV or get in touch for a confidential discussion.
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team You'll join the Core Systems team, who are responsible for driving innovation across the business by optimising development, building data systems, and continuously improving iwoca products. We follow Agile-inspired processes, using continuous integration and delivery, so that features go live in days or weeks, not months or years. The role We are in the process of transitioning our entire analytics warehouse to Snowflake, from a federated SQL system to improve reliability and speed of accessing our wide data ecosystem. We run a variety of time consuming ETL tasks using libraries such as NumPy, Scikit-learn, Pandas, and view/tables from a variety of relational databases. The aim is to integrate and transition all to a single data warehouse using Snowflake and dbt. We are looking for someone who has a solid amount of experience in analytics engineering, who can advise and implement high quality and reliable ETL/ELT processes to bridge the gap between data engineering and analytics. Who will collaborate with analysts, data scientists and engineers to deliver and improve our data warehouse and processes. You will have the opportunity to learn lots and develop rapidly, with the ability to influence critical data infrastructure. We are embarking on a transition to a data mesh operating model and are looking for a proactive, self-motivated individual to help drive this change. The successful candidate will identify opportunities to improve data processes, enable self-service access across the organisation, and design the governance frameworks and guardrails required to ensure data quality, security, and consistency. The responsibilities Develop, construct, test and maintain ETL/ELT infrastructure. Implement robust data testing frameworks in dbt to monitor and ensure data quality and integrity. Enable product teams to self-serve data more effectively, empowering them to make faster, more informed decisions. Influence and shape the monitoring, observability, and reliability strategy for the data warehouse, ensuring high availability, performance, and data quality. Partner with analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable solutions. Troubleshoot emerging data and operational problems, and be a source of knowledge for end-users on the most appropriate way of using data for their purposes. Support your teammates by learning and sharing your knowledge. Drive knowledge sharing and capability building through mentoring, coaching, and the creation of educational resources and best practices. The requirements Essential: Experience in implementing reliable and performant ETL/ELT pipelines. Experience with version control systems (e.g., Git) for dbt project management. Knowledge of CI/CD pipelines for analytics workflows. Experience with programming languages such as Python. Familiarity with data governance practices and frameworks. Professional experience in analytics engineering / data analytics. Solid understanding of SQL with hands on experience with dbt and Snowflake. Comfortable implementing custom (in-house) data solutions where off-the-shelf products are unavailable or unsuitable. Bonus: Advanced LookML knowledge. Experience using Pandas (TensorFlow, Scikit-learn, Matplotlib). DevOps practices Docker and Kubernetes. Understanding of data science concepts. Professional experience or a degree in a quantitative field, such as Mathematics, Physics, Engineering, or Computer Sciences. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
14/07/2026
Full time
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team You'll join the Core Systems team, who are responsible for driving innovation across the business by optimising development, building data systems, and continuously improving iwoca products. We follow Agile-inspired processes, using continuous integration and delivery, so that features go live in days or weeks, not months or years. The role We are in the process of transitioning our entire analytics warehouse to Snowflake, from a federated SQL system to improve reliability and speed of accessing our wide data ecosystem. We run a variety of time consuming ETL tasks using libraries such as NumPy, Scikit-learn, Pandas, and view/tables from a variety of relational databases. The aim is to integrate and transition all to a single data warehouse using Snowflake and dbt. We are looking for someone who has a solid amount of experience in analytics engineering, who can advise and implement high quality and reliable ETL/ELT processes to bridge the gap between data engineering and analytics. Who will collaborate with analysts, data scientists and engineers to deliver and improve our data warehouse and processes. You will have the opportunity to learn lots and develop rapidly, with the ability to influence critical data infrastructure. We are embarking on a transition to a data mesh operating model and are looking for a proactive, self-motivated individual to help drive this change. The successful candidate will identify opportunities to improve data processes, enable self-service access across the organisation, and design the governance frameworks and guardrails required to ensure data quality, security, and consistency. The responsibilities Develop, construct, test and maintain ETL/ELT infrastructure. Implement robust data testing frameworks in dbt to monitor and ensure data quality and integrity. Enable product teams to self-serve data more effectively, empowering them to make faster, more informed decisions. Influence and shape the monitoring, observability, and reliability strategy for the data warehouse, ensuring high availability, performance, and data quality. Partner with analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable solutions. Troubleshoot emerging data and operational problems, and be a source of knowledge for end-users on the most appropriate way of using data for their purposes. Support your teammates by learning and sharing your knowledge. Drive knowledge sharing and capability building through mentoring, coaching, and the creation of educational resources and best practices. The requirements Essential: Experience in implementing reliable and performant ETL/ELT pipelines. Experience with version control systems (e.g., Git) for dbt project management. Knowledge of CI/CD pipelines for analytics workflows. Experience with programming languages such as Python. Familiarity with data governance practices and frameworks. Professional experience in analytics engineering / data analytics. Solid understanding of SQL with hands on experience with dbt and Snowflake. Comfortable implementing custom (in-house) data solutions where off-the-shelf products are unavailable or unsuitable. Bonus: Advanced LookML knowledge. Experience using Pandas (TensorFlow, Scikit-learn, Matplotlib). DevOps practices Docker and Kubernetes. Understanding of data science concepts. Professional experience or a degree in a quantitative field, such as Mathematics, Physics, Engineering, or Computer Sciences. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
As a Data Engineer, you will be critical to the successful delivery of the programme, collaborating within matrix organisation, with multi-disciplinary teams within Engineering. We are looking for individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to deliver. You must be eligible and willing to obtain SC clearance and will be based at Warminster working in a hybrid style. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments. Ensuring the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks. Author, review and contribute to technical documentation. Coordinate with cross-functional engineering teams-including QA, development, operations, and business SMEs. Assist in the design and implementation of scalable, high-performance data platforms and pipelines. Define and enforce data engineering standards, best practices, and governance frameworks including data lifecycle design, implementation and management. Implement the design and optimisation of data storage, processing, and retrieval strategies. Collaborate with cross-functional teams (data scientists, analysts, software engineers) to align data solutions with business needs. Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools). Contribute to data quality, security, compliance, and lineage practices across the organisation. Provide technical input and guidance to data engineering team members. Evaluate, select, and integrate new tools, frameworks, and platforms for the data ecosystem. Act as a subject matter expert in data strategy, influencing design decisions. Any other duties required to meet the needs of the programme. Who we are looking for The OMNIA Data Engineer will provide hands on technical oversight and management across the Army Collective Training Service (ACTS) data solutions. These will be prominently MODCloud hosted utilising Cloud Services from AWS, Azure, OCP where appropriate. Reporting to the Data Architect, you will play a key role in ensuring the effective design, assurance, transformation, and delivery of data across ACTS services and capabilities. This includes supporting the integration and operational use of data from legacy systems through API-driven solutions. This role requires a systems thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Given the programme's focus on modelling and simulation, familiarity with relevant standards and technologies is highly desirable. Essential Skills and Experience Hands on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud native data services. Extensive experience designing and building large scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real time/streaming data technologies, data ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Security cleared or ability to obtain (SC or above). Desirable Skills and Experience Degree in Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift and Ceph). Exposure to infrastructure as code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Strong background in performance tuning for high throughput, low latency data systems. Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar.
13/07/2026
Full time
As a Data Engineer, you will be critical to the successful delivery of the programme, collaborating within matrix organisation, with multi-disciplinary teams within Engineering. We are looking for individuals who want to serve. You'll have a mission focus, and the enthusiasm and drive to deliver. You must be eligible and willing to obtain SC clearance and will be based at Warminster working in a hybrid style. You'll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you'll work for the British Army, championing innovation, and helping shape the future of military collective training. Key Responsibilities Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments. Ensuring the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks. Author, review and contribute to technical documentation. Coordinate with cross-functional engineering teams-including QA, development, operations, and business SMEs. Assist in the design and implementation of scalable, high-performance data platforms and pipelines. Define and enforce data engineering standards, best practices, and governance frameworks including data lifecycle design, implementation and management. Implement the design and optimisation of data storage, processing, and retrieval strategies. Collaborate with cross-functional teams (data scientists, analysts, software engineers) to align data solutions with business needs. Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools). Contribute to data quality, security, compliance, and lineage practices across the organisation. Provide technical input and guidance to data engineering team members. Evaluate, select, and integrate new tools, frameworks, and platforms for the data ecosystem. Act as a subject matter expert in data strategy, influencing design decisions. Any other duties required to meet the needs of the programme. Who we are looking for The OMNIA Data Engineer will provide hands on technical oversight and management across the Army Collective Training Service (ACTS) data solutions. These will be prominently MODCloud hosted utilising Cloud Services from AWS, Azure, OCP where appropriate. Reporting to the Data Architect, you will play a key role in ensuring the effective design, assurance, transformation, and delivery of data across ACTS services and capabilities. This includes supporting the integration and operational use of data from legacy systems through API-driven solutions. This role requires a systems thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Given the programme's focus on modelling and simulation, familiarity with relevant standards and technologies is highly desirable. Essential Skills and Experience Hands on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud native data services. Extensive experience designing and building large scale data pipelines and platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with data governance, quality, lineage, and security practices. Experience with real time/streaming data technologies, data ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data transformation and ETL pipelines and APIs. Security cleared or ability to obtain (SC or above). Desirable Skills and Experience Degree in Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift and Ceph). Exposure to infrastructure as code tools (Terraform, CloudFormation). Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. Strong background in performance tuning for high throughput, low latency data systems. Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar.
Experis - ManpowerGroup in the United Kingdom seeks a Senior Data Engineer/Data Scientist with Palantir expertise to transform complex data into mission-critical insights within secure environments. The role focuses on Palantir Foundry, Gotham and AIP, building scalable data pipelines and models for national security programmes. You'll work on advanced SQL, Python, and data architecture, handling sensitive datasets while collaborating with diverse teams to deliver impactful analytics for defence
11/07/2026
Full time
Experis - ManpowerGroup in the United Kingdom seeks a Senior Data Engineer/Data Scientist with Palantir expertise to transform complex data into mission-critical insights within secure environments. The role focuses on Palantir Foundry, Gotham and AIP, building scalable data pipelines and models for national security programmes. You'll work on advanced SQL, Python, and data architecture, handling sensitive datasets while collaborating with diverse teams to deliver impactful analytics for defence
Overview Job Title: eDV Cleared Senior Data Engineer / Data Scientist (Security Cleared). Location: Preferably based in London, or with access to sites across Manchester, Cheltenham and Malvern. Duration: Until March 2027. (Inside IR35) We're looking for a talented Data Engineer / Data Scientist to join a high-profile national security programme, helping to transform complex data into mission-critical insights. Working within secure environments, you'll design and deliver scalable data solutions using the Palantir platform to support intelligence, defence, and government operations. Key Skills & Experience Strong experience with the Palantir technology stack (Foundry, Gotham, AIP). Advanced SQL skills for large-scale data analysis and optimisation. Expertise in Data Modelling and designing scalable data architectures. Strong Python development skills for data engineering, analytics, and automation. Experience building and maintaining data pipelines and data platforms. Ability to work with sensitive and highly classified datasets. Strong stakeholder management and problem-solving skills. What You'll Be Doing Developing secure, scalable data pipelines and analytical solutions. Building data models and transforming complex datasets into actionable intelligence. Designing and delivering solutions within the Palantir ecosystem. Supporting critical national security, intelligence, and defence programmes. Collaborating with technical and operational teams to solve complex challenges.
11/07/2026
Full time
Overview Job Title: eDV Cleared Senior Data Engineer / Data Scientist (Security Cleared). Location: Preferably based in London, or with access to sites across Manchester, Cheltenham and Malvern. Duration: Until March 2027. (Inside IR35) We're looking for a talented Data Engineer / Data Scientist to join a high-profile national security programme, helping to transform complex data into mission-critical insights. Working within secure environments, you'll design and deliver scalable data solutions using the Palantir platform to support intelligence, defence, and government operations. Key Skills & Experience Strong experience with the Palantir technology stack (Foundry, Gotham, AIP). Advanced SQL skills for large-scale data analysis and optimisation. Expertise in Data Modelling and designing scalable data architectures. Strong Python development skills for data engineering, analytics, and automation. Experience building and maintaining data pipelines and data platforms. Ability to work with sensitive and highly classified datasets. Strong stakeholder management and problem-solving skills. What You'll Be Doing Developing secure, scalable data pipelines and analytical solutions. Building data models and transforming complex datasets into actionable intelligence. Designing and delivering solutions within the Palantir ecosystem. Supporting critical national security, intelligence, and defence programmes. Collaborating with technical and operational teams to solve complex challenges.
Data Scientist - Partner Flow Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Partner Flow team You'll own experimentation and analytics for iwoca's partner channel-fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner-referred customers that receive an offer. The team works across the full application stack-from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross-functional, combining data science, engineering, design, and product. Active projects include: Pre-qualification - testing how showing customers an offer before they apply affects conversion and long-term value Credit card strategy - iwoca recently launched a credit card alongside its flexi-loan; the team is working out which product, or combination, to offer which customers Funnel optimisation - identifying and reducing the biggest points of friction across the partner journey The role You'll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped-you'll influence how it develops, not just what it produces. The work has direct commercial consequences - on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business. Experimentation and causal inference. You'll design and analyse experiments where careful randomisation and interpretation are critical. You'll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre-qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base. Funnel and competitive strategy. You'll analyse the full partner-referred customer journey - from application through to credit assessment - identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you'll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour. Commercial translation. You'll be directly involved when decisions get made - not handing off analysis to be interpreted by someone else. You'll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work. AI and ways of working. You'll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You'll be expected to have a view on where it helps and where it doesn't. The requirements Essential: Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference. Experience separating signal from noise in observational and experimental data. Business translation. Ability to understand commercial context and translate data into actionable insights that guide decisions - not just produce analysis, but land it with people who act on it. Data tooling. Proficiency with data manipulation and modelling tools. Analytical ownership. Comfortable owning ambiguous problems end-to-end - from framing through modelling to influencing decisions. AI fluency. Experience with and a passion for using AI to accelerate and automate analysis and model building. Communication. You write and speak clearly, adapting technical detail to different audiences. Bonus: Modelling depth. Experience building or adapting statistical or ML models, with an interest in understanding what's happening underneath. Stochastic methods. Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty. Funnel and marketplace experience. Experience with conversion funnel analysis or marketplace dynamics where you're competing for attention alongside competitors. Python. You work primarily in Python. If your background is R or another language, that's fine - but Python is what the team uses day to day. Market curiosity. You want to understand how the partner lending market actually works - what makes a partner choose iwoca over a competitor, and what makes a customer convert. The salary We expect to pay from £70,000 - £100,000 for this role. But,'we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack
10/07/2026
Full time
Data Scientist - Partner Flow Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Partner Flow team You'll own experimentation and analytics for iwoca's partner channel-fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner-referred customers that receive an offer. The team works across the full application stack-from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross-functional, combining data science, engineering, design, and product. Active projects include: Pre-qualification - testing how showing customers an offer before they apply affects conversion and long-term value Credit card strategy - iwoca recently launched a credit card alongside its flexi-loan; the team is working out which product, or combination, to offer which customers Funnel optimisation - identifying and reducing the biggest points of friction across the partner journey The role You'll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped-you'll influence how it develops, not just what it produces. The work has direct commercial consequences - on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business. Experimentation and causal inference. You'll design and analyse experiments where careful randomisation and interpretation are critical. You'll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre-qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base. Funnel and competitive strategy. You'll analyse the full partner-referred customer journey - from application through to credit assessment - identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you'll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour. Commercial translation. You'll be directly involved when decisions get made - not handing off analysis to be interpreted by someone else. You'll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work. AI and ways of working. You'll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You'll be expected to have a view on where it helps and where it doesn't. The requirements Essential: Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference. Experience separating signal from noise in observational and experimental data. Business translation. Ability to understand commercial context and translate data into actionable insights that guide decisions - not just produce analysis, but land it with people who act on it. Data tooling. Proficiency with data manipulation and modelling tools. Analytical ownership. Comfortable owning ambiguous problems end-to-end - from framing through modelling to influencing decisions. AI fluency. Experience with and a passion for using AI to accelerate and automate analysis and model building. Communication. You write and speak clearly, adapting technical detail to different audiences. Bonus: Modelling depth. Experience building or adapting statistical or ML models, with an interest in understanding what's happening underneath. Stochastic methods. Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty. Funnel and marketplace experience. Experience with conversion funnel analysis or marketplace dynamics where you're competing for attention alongside competitors. Python. You work primarily in Python. If your background is R or another language, that's fine - but Python is what the team uses day to day. Market curiosity. You want to understand how the partner lending market actually works - what makes a partner choose iwoca over a competitor, and what makes a customer convert. The salary We expect to pay from £70,000 - £100,000 for this role. But,'we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack
Job Title: eDV Cleared Senior Data Engineer / Data Scientist (Security Cleared) Location: Preferably based in London, or with access to sites across Manchester, Cheltenham and Malvern Duration: Until March 2027 (Inside IR35) We're looking for a talented Data Engineer / Data Scientist to join a high-profile national security programme, helping to transform complex data into mission-critical insights. Working within secure environments, you'll design and deliver scalable data solutions using the Palantir platform to support intelligence, defence, and government operations. Key Skills & Experience Strong experience with the Palantir technology stack (Foundry, Gotham, AIP). Advanced SQL skills for large-scale data analysis and optimisation. Expertise in Data Modelling and designing scalable data architectures. Strong Python development skills for data engineering, analytics, and automation. Experience building and maintaining data pipelines and data platforms. Ability to work with sensitive and highly classified datasets. Strong stakeholder management and problem-solving skills. What You'll Be Doing Developing secure, scalable data pipelines and analytical solutions. Building data models and transforming complex datasets into actionable intelligence. Designing and delivering solutions within the Palantir ecosystem. Supporting critical national security, intelligence, and defence programmes. Collaborating with technical and operational teams to solve complex challenges. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
08/07/2026
Contractor
Job Title: eDV Cleared Senior Data Engineer / Data Scientist (Security Cleared) Location: Preferably based in London, or with access to sites across Manchester, Cheltenham and Malvern Duration: Until March 2027 (Inside IR35) We're looking for a talented Data Engineer / Data Scientist to join a high-profile national security programme, helping to transform complex data into mission-critical insights. Working within secure environments, you'll design and deliver scalable data solutions using the Palantir platform to support intelligence, defence, and government operations. Key Skills & Experience Strong experience with the Palantir technology stack (Foundry, Gotham, AIP). Advanced SQL skills for large-scale data analysis and optimisation. Expertise in Data Modelling and designing scalable data architectures. Strong Python development skills for data engineering, analytics, and automation. Experience building and maintaining data pipelines and data platforms. Ability to work with sensitive and highly classified datasets. Strong stakeholder management and problem-solving skills. What You'll Be Doing Developing secure, scalable data pipelines and analytical solutions. Building data models and transforming complex datasets into actionable intelligence. Designing and delivering solutions within the Palantir ecosystem. Supporting critical national security, intelligence, and defence programmes. Collaborating with technical and operational teams to solve complex challenges. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Grade/Salary: E1-E2 £49,157 to £60,081 (depending upon experience) Location: Hybrid role - you can expect to be on-site with our client in Milton Keynes for 2-3 days a week. Contract type: Permanent - Hybrid Travel: To client sites - mainly Milton Keynes Hours: 37 hours per week Reporting to: Stephen Clarke - DSR Senior Project Manager The Role Owing to our continued growth and trusted reputation, we are seeking a skilled and proactive Technical Project Manager to join our Digital Sensitivity Review team. This position is ideal for someone with a solid understanding of project management with strong technical awareness. You will bridge the gap between business stakeholders and engineering teams, ensuring projects are delivered on time, within budget and to the required quality. You will work closely with government department customers, data scientists and software developers together with the rest of the Project Management team. The ability to talk and engage with stakeholders at all levels, both technical and non-technical is important. Digital Sensitivity Review The Digital Sensitivity Review (DSR) service is an AI innovation led data toolset and service, developed by SVGC Ltd and being run in partnership with FCDO Services, for identifying sensitive information in digital files for redaction and archiving to The National Archive to meet the needs of the Public Records Act. Already delivered to FCDO, HM Treasury and Home Office with Department of Business and Trade and Ministry of Justice in feasibility phase, all major and minor government departments will become DSR-enabled, with other departments in the immediate pipeline. The DSR is a unique and leading-edge technology and has been heralded across government as " the only game in town" when it comes to the needs of effective digital data sensitivity identification and redaction. Responsibilities Your main responsibilities will be to Project Planning & Delivery Define project scope, objectives, and deliverables Create and manage project plans, timelines, and milestones Track progress and adjust plans as needed Technical Oversight Understand system architecture and technical constraints Work closely with developers, data scientists, and technical assurance Work closely with Service Management for software integration and deployments Identify technical risks early Stakeholder Management Act as the primary contact between technical teams and business stakeholders Communicate progress, risks, and changes clearly Present updates to senior leadership Identify, assess, and agree handling plans of risks Maintain RAID logs (Risks, Assumptions, Issues, Dependencies) Work closely with Service Management to manage change control processes Budget & Commercial Oversight Manage project budgets and forecasts Support procurement management THE PERSON Must currently hold Security Checked (SC) with willingness to be DV cleared. Note that this role is a 'Restricted' role which means the role holder must hold SC clearance. Recognised Project Management qualification to Practitioner level. Strong project management skills, especially in technology delivery and digital transformation. Strong analytical skills for project performance analysis and reporting. Strong, demonstrable, rapid written and verbal communication skills, to provide technical deliverables and reports. Project analysis skills and a wide range of toolset experience, including confidence and familiarity with tools such as MS Project and JIRA. Strong configuration control approach and pro-active approach to documentation. Strong client-centred stakeholder management, with experience in designing and delivering pilots, demonstrations and User engagements. Willingness to take managed risks and assess impact effectively. Comfortable in inviting challenge and where appropriate involving others in decision making. Ability to identify and address team or individual capability requirements and gaps to deliver current and future work. Ability to motivate a wide range of personality types and situations. Experience in following appropriate financial procedures to monitor contracts to ensure deliverables are achieved. Scheduling and Timescale Risk Analysis. Organisational definition and management. Project Management methodologies such as Agile, Scaled Agile and Waterfall. Tools such as MS Project. IT service management approaches such as ITIL v4. THE PERSON Experience of Project Management in Defence & Security and/or other Government Departments. Degree (or equivalent) in a numerate subject such as, Mathematics, Engineering, Statistics or Physics. Cloud support experience (e.g. AWS, Azure, or Google Cloud). CULTURAL FIT Seeing the Big Picture An ability to focus on the goals and overall intent rather than just individual tasks. Taking an active interest in expanding your own knowledge. Changing and Improving Taking the initiative to suggest ideas for improvement of yours or others' approaches in an appropriate way. Learning new procedures and seeking to exploit new technologies and helping colleagues to do the same. Making Effective Decisions An ability to speak with relevant people in order to obtain the most accurate information and seek advice when unable to proceed. Monitor, handle and store corporate and government data in accordance with security procedures and protocols. Leading and Communicating Listen to, understand, respect and accept the value of different views, ideas and ways of working. Put forward your own ideas in a clear and constructive manner, choosing an appropriate communication method. Collaborating and Partnering Readily identify opportunities to share knowledge, information and learning and make progress by working with others, and other organisations. Proactively seek others with whom collaboration would deliver benefit. Building Capability for All Take responsibility for quality of your own work and seek opportunities for improvement through continuous improvement. Take account of the diverse contributions of team members. Achieving Commercial Outcomes Recognise factors which contribute to achievement of commercial outcomes and proactively support them. Gather and use evidence to assess the costs, benefits and risks of a range of delivery options. Understand that all actions have a cost and choose the most effective way to do something in a resource efficient way. Handle numbers confidently, collating information ensuring accuracy of data. Managing a Quality Service Work with team to set priorities, create clear plans and manage own work to meet the needs of the delivery teams. Communicate in a way which meets and anticipates the customer's requirements and promotes an effective view of SVGC. INTERESTED? Send your cv with a covering email outlining how you meet the essential and desirable criteria listed above to Judith Armatage - Recruitment Business Partner -
06/07/2026
Full time
Grade/Salary: E1-E2 £49,157 to £60,081 (depending upon experience) Location: Hybrid role - you can expect to be on-site with our client in Milton Keynes for 2-3 days a week. Contract type: Permanent - Hybrid Travel: To client sites - mainly Milton Keynes Hours: 37 hours per week Reporting to: Stephen Clarke - DSR Senior Project Manager The Role Owing to our continued growth and trusted reputation, we are seeking a skilled and proactive Technical Project Manager to join our Digital Sensitivity Review team. This position is ideal for someone with a solid understanding of project management with strong technical awareness. You will bridge the gap between business stakeholders and engineering teams, ensuring projects are delivered on time, within budget and to the required quality. You will work closely with government department customers, data scientists and software developers together with the rest of the Project Management team. The ability to talk and engage with stakeholders at all levels, both technical and non-technical is important. Digital Sensitivity Review The Digital Sensitivity Review (DSR) service is an AI innovation led data toolset and service, developed by SVGC Ltd and being run in partnership with FCDO Services, for identifying sensitive information in digital files for redaction and archiving to The National Archive to meet the needs of the Public Records Act. Already delivered to FCDO, HM Treasury and Home Office with Department of Business and Trade and Ministry of Justice in feasibility phase, all major and minor government departments will become DSR-enabled, with other departments in the immediate pipeline. The DSR is a unique and leading-edge technology and has been heralded across government as " the only game in town" when it comes to the needs of effective digital data sensitivity identification and redaction. Responsibilities Your main responsibilities will be to Project Planning & Delivery Define project scope, objectives, and deliverables Create and manage project plans, timelines, and milestones Track progress and adjust plans as needed Technical Oversight Understand system architecture and technical constraints Work closely with developers, data scientists, and technical assurance Work closely with Service Management for software integration and deployments Identify technical risks early Stakeholder Management Act as the primary contact between technical teams and business stakeholders Communicate progress, risks, and changes clearly Present updates to senior leadership Identify, assess, and agree handling plans of risks Maintain RAID logs (Risks, Assumptions, Issues, Dependencies) Work closely with Service Management to manage change control processes Budget & Commercial Oversight Manage project budgets and forecasts Support procurement management THE PERSON Must currently hold Security Checked (SC) with willingness to be DV cleared. Note that this role is a 'Restricted' role which means the role holder must hold SC clearance. Recognised Project Management qualification to Practitioner level. Strong project management skills, especially in technology delivery and digital transformation. Strong analytical skills for project performance analysis and reporting. Strong, demonstrable, rapid written and verbal communication skills, to provide technical deliverables and reports. Project analysis skills and a wide range of toolset experience, including confidence and familiarity with tools such as MS Project and JIRA. Strong configuration control approach and pro-active approach to documentation. Strong client-centred stakeholder management, with experience in designing and delivering pilots, demonstrations and User engagements. Willingness to take managed risks and assess impact effectively. Comfortable in inviting challenge and where appropriate involving others in decision making. Ability to identify and address team or individual capability requirements and gaps to deliver current and future work. Ability to motivate a wide range of personality types and situations. Experience in following appropriate financial procedures to monitor contracts to ensure deliverables are achieved. Scheduling and Timescale Risk Analysis. Organisational definition and management. Project Management methodologies such as Agile, Scaled Agile and Waterfall. Tools such as MS Project. IT service management approaches such as ITIL v4. THE PERSON Experience of Project Management in Defence & Security and/or other Government Departments. Degree (or equivalent) in a numerate subject such as, Mathematics, Engineering, Statistics or Physics. Cloud support experience (e.g. AWS, Azure, or Google Cloud). CULTURAL FIT Seeing the Big Picture An ability to focus on the goals and overall intent rather than just individual tasks. Taking an active interest in expanding your own knowledge. Changing and Improving Taking the initiative to suggest ideas for improvement of yours or others' approaches in an appropriate way. Learning new procedures and seeking to exploit new technologies and helping colleagues to do the same. Making Effective Decisions An ability to speak with relevant people in order to obtain the most accurate information and seek advice when unable to proceed. Monitor, handle and store corporate and government data in accordance with security procedures and protocols. Leading and Communicating Listen to, understand, respect and accept the value of different views, ideas and ways of working. Put forward your own ideas in a clear and constructive manner, choosing an appropriate communication method. Collaborating and Partnering Readily identify opportunities to share knowledge, information and learning and make progress by working with others, and other organisations. Proactively seek others with whom collaboration would deliver benefit. Building Capability for All Take responsibility for quality of your own work and seek opportunities for improvement through continuous improvement. Take account of the diverse contributions of team members. Achieving Commercial Outcomes Recognise factors which contribute to achievement of commercial outcomes and proactively support them. Gather and use evidence to assess the costs, benefits and risks of a range of delivery options. Understand that all actions have a cost and choose the most effective way to do something in a resource efficient way. Handle numbers confidently, collating information ensuring accuracy of data. Managing a Quality Service Work with team to set priorities, create clear plans and manage own work to meet the needs of the delivery teams. Communicate in a way which meets and anticipates the customer's requirements and promotes an effective view of SVGC. INTERESTED? Send your cv with a covering email outlining how you meet the essential and desirable criteria listed above to Judith Armatage - Recruitment Business Partner -
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany. We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey. By combining growth analytics, performance modeling, and full stack engineering, we own the end to end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels. We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed. Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations. This includes optimizing the User Experience (UX) to ensure a frictionless onboarding process for small businesses. Operational Excellence: We connect the dots between data driven decision making and real world commercial impact. Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business. We are a fast moving, cross functional unit designed to turn strategic hypotheses into measurable results. Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star. The role This role sits at the intersection of commercial strategy, data, and technology. Reporting into the Head of Direct Acquisition, you will lead a high performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market. Your primary objective is to co define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life. The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions. You'll define hypotheses, lead cross functional initiatives, and own the roadmap for how iwoca engages with German businesses. You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery. As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit. Market and problem understanding Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go to market strategy. Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities. Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers. Product build and optimisation Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys. Work with marketing and sales to evolve website content, sign up flows, and decisioning logic to increase conversion. Influence future team capability by helping define priorities, roles, and processes as we scale. Experimentation and insight Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows. Identify opportunities using first principle reasoning supported by data, customer research, and funnel analysis. Cross functional collaboration Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence. Lead cross functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics. Translate high level business goals into testable hypotheses and actionable briefs for our technical teams. Help establish the operating rhythm, rituals, and roadmap processes for this new team. The requirements Essential Strong commercial mindset with proven experience driving go to market strategy and measurable acquisition growth. Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech enabled or product led growth. Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team. Fluency in German and strong written communication skills tailored to customer facing environments. Strong analytical capability and experience with experimentation frameworks and A/B testing tools. Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic. Ability to work from first principles and thrive in ambiguity with curiosity and autonomy. Bonus Experience in fintech, lending, B2B SaaS, or regulated products. Experience working closely with engineering, product, or data science teams to ship features or models. Knowledge of the German SME ecosystem or B2B financial products. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. Learning & development A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies
05/07/2026
Full time
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany. We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey. By combining growth analytics, performance modeling, and full stack engineering, we own the end to end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels. We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed. Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations. This includes optimizing the User Experience (UX) to ensure a frictionless onboarding process for small businesses. Operational Excellence: We connect the dots between data driven decision making and real world commercial impact. Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business. We are a fast moving, cross functional unit designed to turn strategic hypotheses into measurable results. Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star. The role This role sits at the intersection of commercial strategy, data, and technology. Reporting into the Head of Direct Acquisition, you will lead a high performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market. Your primary objective is to co define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life. The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions. You'll define hypotheses, lead cross functional initiatives, and own the roadmap for how iwoca engages with German businesses. You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery. As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit. Market and problem understanding Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go to market strategy. Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities. Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers. Product build and optimisation Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys. Work with marketing and sales to evolve website content, sign up flows, and decisioning logic to increase conversion. Influence future team capability by helping define priorities, roles, and processes as we scale. Experimentation and insight Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows. Identify opportunities using first principle reasoning supported by data, customer research, and funnel analysis. Cross functional collaboration Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence. Lead cross functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics. Translate high level business goals into testable hypotheses and actionable briefs for our technical teams. Help establish the operating rhythm, rituals, and roadmap processes for this new team. The requirements Essential Strong commercial mindset with proven experience driving go to market strategy and measurable acquisition growth. Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech enabled or product led growth. Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team. Fluency in German and strong written communication skills tailored to customer facing environments. Strong analytical capability and experience with experimentation frameworks and A/B testing tools. Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic. Ability to work from first principles and thrive in ambiguity with curiosity and autonomy. Bonus Experience in fintech, lending, B2B SaaS, or regulated products. Experience working closely with engineering, product, or data science teams to ship features or models. Knowledge of the German SME ecosystem or B2B financial products. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. Learning & development A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies
About Atos Group Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. We are looking for a PostgreSQL database administrator with strong data modeling skills to join our team. The role includes managing a Postgres application data store across environments, whilst working closely with the rest of the development team to define the data model for new data feeds. You will be responsible for the maintenance and performance of the database and have ownership of the core data structures used within the application. Where purpose meets career Flexible Work Model - Choose Work from Home or Hybrid to balance productivity and well being. Team Coaching Impact - Drive measurable contribution through strong team coaching and ownership. Strong Mentorship Culture - Grow faster with continuous mentoring and knowledge sharing. Responsibilities Taking responsibility for the application PostgreSQL database cluster across multiple environments across cloud & on premises Monitoring and tuning to optimise PostgreSQL database performance Handling migration of data structures across database instances, including to offline environments Owning the data models and managing the lifecycle of data sitting within the Postgres database Working closely with data pipeline engineers & data scientists to ingest a wide range of data sources Managing security controls across environments, including defining roles & permissions, as well as RLS controls for the data Working directly with the infrastructure team to configure the installation and manage patching of the databases across all environments Skills we can't do without Postgresql dba, core development / maintenance and performance optimisation (sharding, partitions). Experience with clustering, and extensions such as pgvector PostGIS, and AGE very useful. Strong PostgreSQL database management skills: Performance optimisation - index tuning, execution plan analysis, query optimisation, data partitioning Backup and recovery - Capable of defining backup strategies based on environment constraints Clustering - Experience with managing database clusters, including handling failover strategies Experience with data modelling: designing, creating & managing schemas, tables, and views to support the data models Understanding best practices for storing JSON objects within PostgreSQL Clear communication & ability to work collaboratively with developers to define & implement data model requirements Essential Criteria - BPSS Eligibility SC cleared as a minimum, DV as a target, you must have lived and worked in the UK continuously for the past 5-7 years. Location Mostly remote with 1-2 days per week on client site where there is an S terminal. Locations nationally (typically Andover, Corsham, London but opportunities for Edinburgh Catterick and Manchester areas) Benefits Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program Diversity, Equity & Inclusion Here at Atos, diversity and inclusion are embedded in our DNA.Read moreabout our commitment to a fair work environment for all. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.
04/07/2026
Full time
About Atos Group Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. We are looking for a PostgreSQL database administrator with strong data modeling skills to join our team. The role includes managing a Postgres application data store across environments, whilst working closely with the rest of the development team to define the data model for new data feeds. You will be responsible for the maintenance and performance of the database and have ownership of the core data structures used within the application. Where purpose meets career Flexible Work Model - Choose Work from Home or Hybrid to balance productivity and well being. Team Coaching Impact - Drive measurable contribution through strong team coaching and ownership. Strong Mentorship Culture - Grow faster with continuous mentoring and knowledge sharing. Responsibilities Taking responsibility for the application PostgreSQL database cluster across multiple environments across cloud & on premises Monitoring and tuning to optimise PostgreSQL database performance Handling migration of data structures across database instances, including to offline environments Owning the data models and managing the lifecycle of data sitting within the Postgres database Working closely with data pipeline engineers & data scientists to ingest a wide range of data sources Managing security controls across environments, including defining roles & permissions, as well as RLS controls for the data Working directly with the infrastructure team to configure the installation and manage patching of the databases across all environments Skills we can't do without Postgresql dba, core development / maintenance and performance optimisation (sharding, partitions). Experience with clustering, and extensions such as pgvector PostGIS, and AGE very useful. Strong PostgreSQL database management skills: Performance optimisation - index tuning, execution plan analysis, query optimisation, data partitioning Backup and recovery - Capable of defining backup strategies based on environment constraints Clustering - Experience with managing database clusters, including handling failover strategies Experience with data modelling: designing, creating & managing schemas, tables, and views to support the data models Understanding best practices for storing JSON objects within PostgreSQL Clear communication & ability to work collaboratively with developers to define & implement data model requirements Essential Criteria - BPSS Eligibility SC cleared as a minimum, DV as a target, you must have lived and worked in the UK continuously for the past 5-7 years. Location Mostly remote with 1-2 days per week on client site where there is an S terminal. Locations nationally (typically Andover, Corsham, London but opportunities for Edinburgh Catterick and Manchester areas) Benefits Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program Diversity, Equity & Inclusion Here at Atos, diversity and inclusion are embedded in our DNA.Read moreabout our commitment to a fair work environment for all. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany. We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey. By combining growth analytics, performance modeling, and full stack engineering, we own the end to end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels. We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed. Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations. This includes optimizing the User Experience (UX) to ensure a frictionless onboarding process for small businesses. Operational Excellence: We connect the dots between data driven decision making and real world commercial impact. Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business. We are a fast moving, cross functional unit designed to turn strategic hypotheses into measurable results. Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star. The role This role sits at the intersection of commercial strategy, data, and technology. Reporting into the Head of Direct Acquisition, you will lead a high performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market. Your primary objective is to co define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life. The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions. You'll define hypotheses, lead cross functional initiatives, and own the roadmap for how iwoca engages with German businesses. You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery. As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit. Market and problem understanding Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go to market strategy. Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities. Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers. Product build and optimisation Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys. Work with marketing and sales to evolve website content, sign up flows, and decisioning logic to increase conversion. Influence future team capability by helping define priorities, roles, and processes as we scale. Experimentation and insight Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows. Identify opportunities using first principle reasoning supported by data, customer research, and funnel analysis. Cross functional collaboration Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence. Lead cross functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics. Translate high level business goals into testable hypotheses and actionable briefs for our technical teams. Help establish the operating rhythm, rituals, and roadmap processes for this new team. The requirements Essential Strong commercial mindset with proven experience driving go to market strategy and measurable acquisition growth. Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech enabled or product led growth. Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team. Fluency in German and strong written communication skills tailored to customer facing environments. Strong analytical capability and experience with experimentation frameworks and A/B testing tools. Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic. Ability to work from first principles and thrive in ambiguity with curiosity and autonomy. Bonus Experience in fintech, lending, B2B SaaS, or regulated products. Experience working closely with engineering, product, or data science teams to ship features or models. Knowledge of the German SME ecosystem or B2B financial products. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. Learning & development A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies
03/07/2026
Full time
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany. We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey. By combining growth analytics, performance modeling, and full stack engineering, we own the end to end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels. We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed. Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations. This includes optimizing the User Experience (UX) to ensure a frictionless onboarding process for small businesses. Operational Excellence: We connect the dots between data driven decision making and real world commercial impact. Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business. We are a fast moving, cross functional unit designed to turn strategic hypotheses into measurable results. Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star. The role This role sits at the intersection of commercial strategy, data, and technology. Reporting into the Head of Direct Acquisition, you will lead a high performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market. Your primary objective is to co define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life. The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions. You'll define hypotheses, lead cross functional initiatives, and own the roadmap for how iwoca engages with German businesses. You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery. As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit. Market and problem understanding Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go to market strategy. Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities. Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers. Product build and optimisation Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys. Work with marketing and sales to evolve website content, sign up flows, and decisioning logic to increase conversion. Influence future team capability by helping define priorities, roles, and processes as we scale. Experimentation and insight Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows. Identify opportunities using first principle reasoning supported by data, customer research, and funnel analysis. Cross functional collaboration Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence. Lead cross functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics. Translate high level business goals into testable hypotheses and actionable briefs for our technical teams. Help establish the operating rhythm, rituals, and roadmap processes for this new team. The requirements Essential Strong commercial mindset with proven experience driving go to market strategy and measurable acquisition growth. Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech enabled or product led growth. Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team. Fluency in German and strong written communication skills tailored to customer facing environments. Strong analytical capability and experience with experimentation frameworks and A/B testing tools. Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic. Ability to work from first principles and thrive in ambiguity with curiosity and autonomy. Bonus Experience in fintech, lending, B2B SaaS, or regulated products. Experience working closely with engineering, product, or data science teams to ship features or models. Knowledge of the German SME ecosystem or B2B financial products. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. Learning & development A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies
