Data Scientist North West or London, Hybrid Up to 70,000 What if your next role wasn't about maintaining someone else's models? What if you joined at the beginning, built the foundations, owned your work, and helped shape the future of an entire Data Science function? That's exactly what this opportunity offers. We're working with a growing insurance business investing heavily in data, pricing and machine learning. They have built the platform. Now they're looking for a Data Scientist who wants to build what comes next. This is a genuine greenfield role. You'll work directly with the Head of, developing production machine learning models, improving pricing capability and helping create the company's long-term Data Science strategy. If you're looking for ownership instead of layers of bureaucracy, this role is worth a conversation. What you'll be doing Build production machine learning models from scratch. Develop pricing and customer behaviour models. Improve existing Lifetime Value (LTV) models. Deploy models into production using Python. Work across pricing, marketing, claims and customer analytics. Analyse model performance and continuously improve accuracy. Help shape future MLOps capability. Work closely with stakeholders across the business. What we're looking for Commercial experience as a Data Scientist. Strong Python and SQL skills. Experience building and deploying machine learning models. Strong statistical and analytical skills. Someone who enjoys solving complex business problems. Excellent communication skills and the confidence to work with technical and non-technical stakeholders. A naturally curious person who enjoys learning new technologies. Nice to have Insurance, financial services or pricing experience. Customer behaviour modelling. MLOps exposure. Databricks. Azure Why join? Genuine greenfield environment. High level of ownership from day one. Work directly with senior leadership. Opportunity to influence the technical direction of the business. Modern Microsoft technology stack including Azure and Databricks. Clear progression as the Data function grows. If you're looking for a role where your work will have visible impact, rather than becoming another cog in a large Data Science team, we'd love to speak with you. Apply today or contact Ben at Maxwell Bond for a confidential conversation.
Jul 30, 2026
Full time
Data Scientist North West or London, Hybrid Up to 70,000 What if your next role wasn't about maintaining someone else's models? What if you joined at the beginning, built the foundations, owned your work, and helped shape the future of an entire Data Science function? That's exactly what this opportunity offers. We're working with a growing insurance business investing heavily in data, pricing and machine learning. They have built the platform. Now they're looking for a Data Scientist who wants to build what comes next. This is a genuine greenfield role. You'll work directly with the Head of, developing production machine learning models, improving pricing capability and helping create the company's long-term Data Science strategy. If you're looking for ownership instead of layers of bureaucracy, this role is worth a conversation. What you'll be doing Build production machine learning models from scratch. Develop pricing and customer behaviour models. Improve existing Lifetime Value (LTV) models. Deploy models into production using Python. Work across pricing, marketing, claims and customer analytics. Analyse model performance and continuously improve accuracy. Help shape future MLOps capability. Work closely with stakeholders across the business. What we're looking for Commercial experience as a Data Scientist. Strong Python and SQL skills. Experience building and deploying machine learning models. Strong statistical and analytical skills. Someone who enjoys solving complex business problems. Excellent communication skills and the confidence to work with technical and non-technical stakeholders. A naturally curious person who enjoys learning new technologies. Nice to have Insurance, financial services or pricing experience. Customer behaviour modelling. MLOps exposure. Databricks. Azure Why join? Genuine greenfield environment. High level of ownership from day one. Work directly with senior leadership. Opportunity to influence the technical direction of the business. Modern Microsoft technology stack including Azure and Databricks. Clear progression as the Data function grows. If you're looking for a role where your work will have visible impact, rather than becoming another cog in a large Data Science team, we'd love to speak with you. Apply today or contact Ben at Maxwell Bond for a confidential conversation.
Senior Data Scientist Salary: 85K - 95K Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they're now looking for a Senior Data Scientist to own one of the most important parts of the company. The Opportunity This isn't a role where you'll optimise an existing model or become another specialist in a large data science team. You'll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you'll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning, you'll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one. This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we'd love to hear from you. Senior Data Scientist
Jul 30, 2026
Full time
Senior Data Scientist Salary: 85K - 95K Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they're now looking for a Senior Data Scientist to own one of the most important parts of the company. The Opportunity This isn't a role where you'll optimise an existing model or become another specialist in a large data science team. You'll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you'll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning, you'll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one. This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we'd love to hear from you. Senior Data Scientist
Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Jul 29, 2026
Contractor
Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Working Environment You'll operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams to build, train, deploy, and serve models - Develop and support model serving and inference capabilities within Kubernetes environments - Implement workflows that support model experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot complex platform, workload and deployment issues across Kubernetes and MLOps layers - Contribute to architectural decisions while remaining deeply hands-on in delivery Your Experience To be successful in this role, you will bring: - Strong experience as a Senior or Lead Platform Engineer / DevOps Engineer - Deep hands-on experience building and operating Kubernetes-based platforms - Strong practical experience using Helm and infrastructure-as-code tools such as Terraform - Proven experience extending Kubernetes with higher-level platforms and services, rather than treating it as an end in itself - Strong understanding of operational concerns: monitoring, logging, incident response, reliability and maintenance - Confidence working directly with engineers and data scientists to support real workloads in production MLOps experience is highly desirable, including exposure to tools and patterns such as: - Building MLOps platforms using frameworks such as Kubeflow (or comparable approaches) - Operating model serving and inference platforms (e.g. KServe, vLLM, or comparable solutions) - Supporting LLM-based workloads, including optimisation and serving considerations - Providing notebook-based development environments (e.g. JupyterHub) within secure platforms - Exposure to emerging tooling such as InstructLab, trustworthy AI tooling, or equivalent approaches In Return You'll play a key role in enabling AI delivery at scale by building platforms that other engineers and data scientists actually want to use. This is an opportunity to lead technically, shape a practical MLOps platform, and own operational outcomes in production environments where reliability and usability matter. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Jul 29, 2026
Contractor
Working Environment You'll operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams to build, train, deploy, and serve models - Develop and support model serving and inference capabilities within Kubernetes environments - Implement workflows that support model experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot complex platform, workload and deployment issues across Kubernetes and MLOps layers - Contribute to architectural decisions while remaining deeply hands-on in delivery Your Experience To be successful in this role, you will bring: - Strong experience as a Senior or Lead Platform Engineer / DevOps Engineer - Deep hands-on experience building and operating Kubernetes-based platforms - Strong practical experience using Helm and infrastructure-as-code tools such as Terraform - Proven experience extending Kubernetes with higher-level platforms and services, rather than treating it as an end in itself - Strong understanding of operational concerns: monitoring, logging, incident response, reliability and maintenance - Confidence working directly with engineers and data scientists to support real workloads in production MLOps experience is highly desirable, including exposure to tools and patterns such as: - Building MLOps platforms using frameworks such as Kubeflow (or comparable approaches) - Operating model serving and inference platforms (e.g. KServe, vLLM, or comparable solutions) - Supporting LLM-based workloads, including optimisation and serving considerations - Providing notebook-based development environments (e.g. JupyterHub) within secure platforms - Exposure to emerging tooling such as InstructLab, trustworthy AI tooling, or equivalent approaches In Return You'll play a key role in enabling AI delivery at scale by building platforms that other engineers and data scientists actually want to use. This is an opportunity to lead technically, shape a practical MLOps platform, and own operational outcomes in production environments where reliability and usability matter. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. Kainos is recognised as one of the UK's leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Principal Data Scientist at Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions that leverage state-of-the-art machine learning, generative, and agentic AI technologies. You will help set the direction for AI and data science across the business, driving the adoption of modern AI development practices and scalable, cloud-native architectures at enterprise scale. You will provide technical and thought leadership, engaging with C-level and senior stakeholders to define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence-both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical managers, ensuring the adoption of robust standards and responsible AI practices. You will build enduring customer relationships, proactively develop new alliances with technology partners and shape Kainos' commercial AI offerings. Your leadership will be instrumental in embedding commercial acumen, influencing account strategies and ensuring customers get measurable business value from AI investments. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources. Deep understanding of responsible AI principles, model interpretability and ethical considerations, with a track record of influencing policy and standards. Ability to communicate and negotiate with C-level and senior stakeholders, translating complex technical concepts into business value. Experience in developing and executing account strategies, shaping commercial AI offerings and driving business development in partnership with sales and account managers. Demonstrated ability to build and lead high-performing teams and wider AI and data science communities. Strong commercial acumen with a history of influencing the commercial success of AI products and solutions. D ESIRABLE : Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source AI projects, research publications, and industry events/websites. Familiarity with AI security, privacy, and compliance standards (e.g. ISO 42001). Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Jul 29, 2026
Full time
hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. Kainos is recognised as one of the UK's leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Principal Data Scientist at Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions that leverage state-of-the-art machine learning, generative, and agentic AI technologies. You will help set the direction for AI and data science across the business, driving the adoption of modern AI development practices and scalable, cloud-native architectures at enterprise scale. You will provide technical and thought leadership, engaging with C-level and senior stakeholders to define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence-both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical managers, ensuring the adoption of robust standards and responsible AI practices. You will build enduring customer relationships, proactively develop new alliances with technology partners and shape Kainos' commercial AI offerings. Your leadership will be instrumental in embedding commercial acumen, influencing account strategies and ensuring customers get measurable business value from AI investments. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources. Deep understanding of responsible AI principles, model interpretability and ethical considerations, with a track record of influencing policy and standards. Ability to communicate and negotiate with C-level and senior stakeholders, translating complex technical concepts into business value. Experience in developing and executing account strategies, shaping commercial AI offerings and driving business development in partnership with sales and account managers. Demonstrated ability to build and lead high-performing teams and wider AI and data science communities. Strong commercial acumen with a history of influencing the commercial success of AI products and solutions. D ESIRABLE : Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source AI projects, research publications, and industry events/websites. Familiarity with AI security, privacy, and compliance standards (e.g. ISO 42001). Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
What You'll Be Doing - Provide technical leadership across AI-enabled software and DevOps engineering teams - Set architectural direction for API-first design, system integration, and platform enablement for AI - Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures - Define and guide integration patterns between applications, platforms, and AI services - Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design - Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions - Ensure solutions meet appropriate standards for security, resilience, performance, and operability - Anticipate and manage architectural and operational risks associated with AI-enabled systems - Champion strong engineering practices across software development, DevOps, and platform engineering Your Experience To succeed in this role, you will bring: - A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role - Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability - Strong experience designing and delivering API-driven and microservice-based systems - Proven ability to modernise or integrate legacy applications into modern software and platform architectures - Solid development experience in TypeScript and Python - Experience working across software delivery, infrastructure, CI/CD, and operational environments - Confidence providing technical leadership and architectural direction without relying on formal authority - Ability to balance innovation with pragmatism in complex, production environments In Return You'll play a critical role in shaping how AI is integrated into enterprise software platforms, working at the intersection of architecture, delivery, and operational reality. This is an opportunity to lead technically, influence system evolution, and build AI-enabled platforms that are robust, scalable, and fit for real-world use. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Jul 29, 2026
Contractor
What You'll Be Doing - Provide technical leadership across AI-enabled software and DevOps engineering teams - Set architectural direction for API-first design, system integration, and platform enablement for AI - Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures - Define and guide integration patterns between applications, platforms, and AI services - Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design - Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions - Ensure solutions meet appropriate standards for security, resilience, performance, and operability - Anticipate and manage architectural and operational risks associated with AI-enabled systems - Champion strong engineering practices across software development, DevOps, and platform engineering Your Experience To succeed in this role, you will bring: - A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role - Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability - Strong experience designing and delivering API-driven and microservice-based systems - Proven ability to modernise or integrate legacy applications into modern software and platform architectures - Solid development experience in TypeScript and Python - Experience working across software delivery, infrastructure, CI/CD, and operational environments - Confidence providing technical leadership and architectural direction without relying on formal authority - Ability to balance innovation with pragmatism in complex, production environments In Return You'll play a critical role in shaping how AI is integrated into enterprise software platforms, working at the intersection of architecture, delivery, and operational reality. This is an opportunity to lead technically, influence system evolution, and build AI-enabled platforms that are robust, scalable, and fit for real-world use. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.
Jul 29, 2026
Full time
Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.
hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. Hungry for a challenge? That's good, because at Just Eat (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. About this role As the Senior Team Lead for Data Science - Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations. This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team. Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions. Location: Berlin, London or Amsterdam office with 3 days in the office and 2 days working from home Reporting to: Data Science Manager The Key Ingredients of the roleStrategic Leadership & Outcome Ownership (Approx. 75%) Team Leadership & People Management: Lead, manage, and scale a high-performing team of Data Scientists through mentorship, coaching, and performance management. Foster a collaborative and results-driven team culture. Drive Strategic Solutions: Own the team's contribution to defining logistics estimation solutions, ensuring direct alignment with critical company objectives and the broader business strategy. You will champion data science innovation ideas and partner closely with Product Management (PM) to ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. Drive Business Impact: Take ownership of key logistics KPIs, particularly overall ETA accuracy across the customer journey. Guide the team's focus on the highest-value initiatives and ensure data science moves in a data-driven direction. The DSTL partners closely with the Product Manager to advise and influence the strategic prioritization of work. Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier re-assignments, restaurant preparation delays) that impact model performance. Strategic Planning: Translate RCA findings into concrete, actionable plans and conceptual designs for incorporating new features or models to mitigate these business-driven inaccuracies. Stakeholder Communication: Act as the primary interface between the Data Science team and the wider audience (Product, Operations, Engineering). Expertly translate complex data insights and machine learning concepts into clear, actionable business insights for non-technical audiences. Technical Guidance & Conceptual Design (Approx. 25%) Conceptual Model Design: Focus on the conceptual design and validation strategy for new predictive features and models. Define what the model needs to achieve and how it should be validated. Technical Guidance & Review: Serve as the senior technical expert, guiding architectural decisions for prediction models and maintaining high standards through rigorous design discussions and model reviews. MLE Partnership: Partner closely with Machine Learning Engineers (MLEs), who own the deployment and scaling processes, to transition robust model designs and thoroughly documented algorithmic logic for production implementation. Insight Generation: Guide the team in deep-dive analysis of large-scale geospatial and real-time data to translate findings into actionable modeling recommendations. What You'll Bring to the Table A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field. Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment. This experience is crucial for providing effective strategic and architectural guidance. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Experience with deep learning is considered a plus. Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions. Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring. Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders. At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. Are you ready to join the team? Apply now!
Jul 29, 2026
Full time
hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. Hungry for a challenge? That's good, because at Just Eat (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. About this role As the Senior Team Lead for Data Science - Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations. This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team. Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions. Location: Berlin, London or Amsterdam office with 3 days in the office and 2 days working from home Reporting to: Data Science Manager The Key Ingredients of the roleStrategic Leadership & Outcome Ownership (Approx. 75%) Team Leadership & People Management: Lead, manage, and scale a high-performing team of Data Scientists through mentorship, coaching, and performance management. Foster a collaborative and results-driven team culture. Drive Strategic Solutions: Own the team's contribution to defining logistics estimation solutions, ensuring direct alignment with critical company objectives and the broader business strategy. You will champion data science innovation ideas and partner closely with Product Management (PM) to ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. Drive Business Impact: Take ownership of key logistics KPIs, particularly overall ETA accuracy across the customer journey. Guide the team's focus on the highest-value initiatives and ensure data science moves in a data-driven direction. The DSTL partners closely with the Product Manager to advise and influence the strategic prioritization of work. Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier re-assignments, restaurant preparation delays) that impact model performance. Strategic Planning: Translate RCA findings into concrete, actionable plans and conceptual designs for incorporating new features or models to mitigate these business-driven inaccuracies. Stakeholder Communication: Act as the primary interface between the Data Science team and the wider audience (Product, Operations, Engineering). Expertly translate complex data insights and machine learning concepts into clear, actionable business insights for non-technical audiences. Technical Guidance & Conceptual Design (Approx. 25%) Conceptual Model Design: Focus on the conceptual design and validation strategy for new predictive features and models. Define what the model needs to achieve and how it should be validated. Technical Guidance & Review: Serve as the senior technical expert, guiding architectural decisions for prediction models and maintaining high standards through rigorous design discussions and model reviews. MLE Partnership: Partner closely with Machine Learning Engineers (MLEs), who own the deployment and scaling processes, to transition robust model designs and thoroughly documented algorithmic logic for production implementation. Insight Generation: Guide the team in deep-dive analysis of large-scale geospatial and real-time data to translate findings into actionable modeling recommendations. What You'll Bring to the Table A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field. Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment. This experience is crucial for providing effective strategic and architectural guidance. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Experience with deep learning is considered a plus. Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions. Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring. Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders. At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. Are you ready to join the team? Apply now!
Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jul 29, 2026
Full time
Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role We're looking for a Senior Backend Engineer to build and scale Wise's price comparison platform. Comparison is about transparency-helping customers understand the real cost of sending money and why Wise is the better choice. You'll own the systems that collect pricing data from competitors and make it accessible across Wise, powering comparison tools and enabling data-driven decisions. This means building robust scrapers, reliable data pipelines, and APIs that teams depend on. Accuracy and trust are non-negotiable. You'll join the Marketing-Platform team in the Onboarding & Scalable Growth squad. We build the systems that unlock and optimise digital marketing and CRM, enabling £30+ million in marketing investment with proven ROI. What you'll do Build the backbone: backend systems and APIs that power Wise's comparison experiences. Make scrapers feel "magical": help define the roadmap for using LLMs and proven techniques to make data collection more stable, faster to evolve, and easier to scale. Turn competitive pricing into a real-time advantage: expand and strengthen our competitive intelligence system across 100+ competitors in money transfer. Obsess over data quality: build ingestion and validation pipelines with strong monitoring, accuracy checks, and rapid detection when the world changes. Make data trustworthy by default: improve reliability, transparency and usability of marketing data so internal teams can move faster with confidence. Design for scale: operate distributed, event-driven systems that stay reliable as volume and coverage grow. Work like a small team building something big: collaborate daily with product, engineering, analytics and data partners to ship the right thing. Own the whole experience: from shaping the solution to implementing, testing, releasing and watching it succeed in production. Raise the bar: through great testing, thoughtful reviews, and feedback that makes the whole team better. What we're looking for (Must have) 5+ Years of working as a software engineer Solid knowledge of relational databases and designing data models for correctness and performance. Experience building distributed and concurrent systems (e.g., Kafka or equivalent). Strong engineering fundamentals: testable code, unit + integration testing, and pragmatic testing strategies. Clear communication: able to explain technical decisions to non-technical partners. A product mindset: you prioritise customer outcomes and use data to guide decisions. Comfortable working independently on ambiguous problems, taking end-to-end ownership. Nice to have Hands-on experience with scraping technologies at scale and maintaining data quality/accuracy. Experience building backend systems with Java or Kotlin (or another JVM language). Experience with Spring (or similar JVM frameworks). Experience operating data-heavy systems with strong observability (monitoring, alerting, data quality checks). Experience with measurement/attribution, marketing platforms, or comparison products (not required). Fintech or regulated-environment experience (not required). What your first 6 months could look like You've embedded into the team, understood our goals and how your work connects to measurable outcomes. You've shipped production features end-to-end and monitored their impact after release. You've contributed to planning cycles and proposed improvements to take our comparison product further. You've built confidence in Wise's domain and engineering practices, and helped improve how the team works. Qualifications What does it take: 5+ years of experience in Java or Kotlin (or other JVM based language) Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka) Experience in scraping technologies at scale and maintaining data accuracy Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect to happen on a daily basis You enjoy writing testable code and you have experience in testing strategies, such as unit testing, integration testing You believe in and follow best coding practices, code reviews and open feedback You have great communication skills and the ability to articulate complex, technical concepts to non-technical audience You strive to improve our team culture and processes A strong product mindset and passion for customer experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points Being able to work independently on customer problems is a key to success - you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Jul 28, 2026
Full time
hackajob is collaborating with Wise to connect them with exceptional professionals for this role. Company Description Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer . Job Description About the role We're looking for a Senior Backend Engineer to build and scale Wise's price comparison platform. Comparison is about transparency-helping customers understand the real cost of sending money and why Wise is the better choice. You'll own the systems that collect pricing data from competitors and make it accessible across Wise, powering comparison tools and enabling data-driven decisions. This means building robust scrapers, reliable data pipelines, and APIs that teams depend on. Accuracy and trust are non-negotiable. You'll join the Marketing-Platform team in the Onboarding & Scalable Growth squad. We build the systems that unlock and optimise digital marketing and CRM, enabling £30+ million in marketing investment with proven ROI. What you'll do Build the backbone: backend systems and APIs that power Wise's comparison experiences. Make scrapers feel "magical": help define the roadmap for using LLMs and proven techniques to make data collection more stable, faster to evolve, and easier to scale. Turn competitive pricing into a real-time advantage: expand and strengthen our competitive intelligence system across 100+ competitors in money transfer. Obsess over data quality: build ingestion and validation pipelines with strong monitoring, accuracy checks, and rapid detection when the world changes. Make data trustworthy by default: improve reliability, transparency and usability of marketing data so internal teams can move faster with confidence. Design for scale: operate distributed, event-driven systems that stay reliable as volume and coverage grow. Work like a small team building something big: collaborate daily with product, engineering, analytics and data partners to ship the right thing. Own the whole experience: from shaping the solution to implementing, testing, releasing and watching it succeed in production. Raise the bar: through great testing, thoughtful reviews, and feedback that makes the whole team better. What we're looking for (Must have) 5+ Years of working as a software engineer Solid knowledge of relational databases and designing data models for correctness and performance. Experience building distributed and concurrent systems (e.g., Kafka or equivalent). Strong engineering fundamentals: testable code, unit + integration testing, and pragmatic testing strategies. Clear communication: able to explain technical decisions to non-technical partners. A product mindset: you prioritise customer outcomes and use data to guide decisions. Comfortable working independently on ambiguous problems, taking end-to-end ownership. Nice to have Hands-on experience with scraping technologies at scale and maintaining data quality/accuracy. Experience building backend systems with Java or Kotlin (or another JVM language). Experience with Spring (or similar JVM frameworks). Experience operating data-heavy systems with strong observability (monitoring, alerting, data quality checks). Experience with measurement/attribution, marketing platforms, or comparison products (not required). Fintech or regulated-environment experience (not required). What your first 6 months could look like You've embedded into the team, understood our goals and how your work connects to measurable outcomes. You've shipped production features end-to-end and monitored their impact after release. You've contributed to planning cycles and proposed improvements to take our comparison product further. You've built confidence in Wise's domain and engineering practices, and helped improve how the team works. Qualifications What does it take: 5+ years of experience in Java or Kotlin (or other JVM based language) Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka) Experience in scraping technologies at scale and maintaining data accuracy Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect to happen on a daily basis You enjoy writing testable code and you have experience in testing strategies, such as unit testing, integration testing You believe in and follow best coding practices, code reviews and open feedback You have great communication skills and the ability to articulate complex, technical concepts to non-technical audience You strive to improve our team culture and processes A strong product mindset and passion for customer experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-points Being able to work independently on customer problems is a key to success - you take responsibility and end-to-end ownership of your projects: drive and own them to make sure we hit the goals we want to achieve Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead, by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll also help implement efficient data pipelines & storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here, we would expect you to contribute to our recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria as if unsuccessful we can provide you with feedback. Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies. Strong experience in IaC and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines. Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. You are a skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. You can demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders. You have the experience to improve resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit integration, data quality, etc) You are skilled at offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process. Working with senior stakeholders to gather requirements and keep them engaged with Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning models Job Benefits Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: ️ 30 days Holiday - we offer 30 days of paid annual leave Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. Pension - 7% employer matched An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Ideally, no more than 30 consecutive days spent outside the UK within the last five years. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.
Jul 28, 2026
Full time
hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead, by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll also help implement efficient data pipelines & storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here, we would expect you to contribute to our recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria as if unsuccessful we can provide you with feedback. Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies. Strong experience in IaC and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines. Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. You are a skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. You can demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders. You have the experience to improve resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit integration, data quality, etc) You are skilled at offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process. Working with senior stakeholders to gather requirements and keep them engaged with Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning models Job Benefits Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: ️ 30 days Holiday - we offer 30 days of paid annual leave Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. Pension - 7% employer matched An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Ideally, no more than 30 consecutive days spent outside the UK within the last five years. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.
Job Title: Senior AI Product Engineer - Python, LLMs Location: London (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced AI Engineer to join a rapidly growing organisation. This is a unique opportunity for someone who thrives at the intersection of product leadership, AI innovation, customer engagement, and commercial strategy. You'll operate across the full product lifecycle shaping roadmaps, working closely with engineering teams, engaging senior stakeholders, and delivering AI solutions that solve real-world business problems. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. Own and lead the end-to-end development of enterprise AI products from concept through to market launch and scale Define product strategy, roadmap, success metrics, and go-to-market plans Partner with AI engineers and data scientists to build production-grade AI capabilities Engage directly with senior client stakeholders, from analysts to C-suite executives, translating business challenges into AI-driven solutions Key Skills and Experience you must have: Strong experience in AI Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms (Claude, Open AI and AI orchestration frameworks) Experience within Financial services. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV.
Jul 28, 2026
Contractor
Job Title: Senior AI Product Engineer - Python, LLMs Location: London (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced AI Engineer to join a rapidly growing organisation. This is a unique opportunity for someone who thrives at the intersection of product leadership, AI innovation, customer engagement, and commercial strategy. You'll operate across the full product lifecycle shaping roadmaps, working closely with engineering teams, engaging senior stakeholders, and delivering AI solutions that solve real-world business problems. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. Own and lead the end-to-end development of enterprise AI products from concept through to market launch and scale Define product strategy, roadmap, success metrics, and go-to-market plans Partner with AI engineers and data scientists to build production-grade AI capabilities Engage directly with senior client stakeholders, from analysts to C-suite executives, translating business challenges into AI-driven solutions Key Skills and Experience you must have: Strong experience in AI Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms (Claude, Open AI and AI orchestration frameworks) Experience within Financial services. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV.
hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights . We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions - from new dataset pipelines and ML models to AI-powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities: Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI-assisted internal tools - including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) - to demonstrate near-term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications: Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define 'ship-or-kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders. Qualifications Desired Attributes: Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech-agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.
Jul 28, 2026
Full time
hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights . We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. For nearly 20 years, we've helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset - someone dedicated to proving what's possible with our data and handing those proofs to engineering. About the Role: As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions - from new dataset pipelines and ML models to AI-powered internal tools - and hand off successful proofs to the engineering team for production integration. You will work with Third Bridge's rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. Key Responsibilities: Design and build PoC solutions with a clear 'ship-or-kill' decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative. Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting. Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection. Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts. Prototype AI-assisted internal tools - including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) - to demonstrate near-term business value from Third Bridge's content assets. Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work. Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff. Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team's engineering standards and practices. Essential Qualifications: Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics. Professional experience in a data science, ML engineering, or applied data role. Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework. Working knowledge of Bedrock and other AWS managed services. Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes. A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define 'ship-or-kill' criteria upfront. Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness. The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders. Qualifications Desired Attributes: Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions. Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML. Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets. Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs. Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines. A tech-agnostic mindset, open to selecting the right tool for each problem - whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow. Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus. Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI - and bringing relevant ideas back to the team. Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients. How will you be rewarded? We truly care about our people so in return for your work, you'll get: Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays Learning: personal development allowance of £1000 per year Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more Social: optional social gatherings, daily breakfast and snacks, social events ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery â delivery â adoption â iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Jul 28, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery â delivery â adoption â iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Are you passionate about cutting-edge biology, stem cell systems, and building something from the ground up? Ready to take a leading role in shaping scientific direction within an early-stage biotech environment where your ideas, experience, and impact truly matter? We're supporting a pioneering biotech startup in the search for a Production Scientist / Senior Scientist to join as one of their first scientific hires. This is a unique opportunity to help build a platform focused on developing advanced human biological models to support drug discovery and translational research. If you enjoy hands-on experimental work, designing and improving complex in vitro systems, and working in a fast-paced, collaborative environment where priorities evolve, this could be the perfect role for you. About the opportunity: This is a 14-month contract position (with potential to transition into a permanent role) based in a newly established laboratory environment. Due to the nature of experimental timelines, the role requires flexibility to occasionally work weekends, with time taken back during the week to ensure balance. You'll work closely with founders and scientific leadership, helping define workflows, protocols, and the long-term direction of the platform. In this role, you will: Develop, optimise, and scale complex human stem cell-derived 3D culture models Design and execute experiments to support platform development and validation Establish robust lab protocols across cell culture, differentiation, and analysis workflows Apply techniques such as immunostaining, microscopy, and molecular biology assays Interpret and present experimental data clearly to internal stakeholders Build repeatable, scalable processes with strong emphasis on quality and reproducibility Troubleshoot experimental challenges and continuously improve outputs Contribute to scientific planning, company strategy, and technical documentation Support collaboration across a small, ambitious team in a startup environment Skills & Experience: PhD (or equivalent experience) in a relevant biological field (e.g. stem cell biology, neuroscience, biomedical sciences, developmental biology) Strong hands-on experience with mammalian cell culture, preferably including induced pluripotent stem cells (iPSCs) Experience with stem cells, organoids, assembloids, or complex 3D culture systems Practical experience with immunohistochemistry, fluorescence microscopy, and molecular/cell biology techniques Ability to independently design, execute, troubleshoot, and interpret experiments Strong understanding of assay development, reproducibility, and experimental quality control Experience in biotech, pharma, or translational research environments (highly beneficial) Exposure to commercial assay/platform development or workflow scaling is advantageous Familiarity with automation, QC processes, or high-throughput workflows is beneficial Why you will love working here: Salary between 35,000 and 45,000, depending on experience Be one of the first hires in a high potential biotech startup Pension scheme 25 days of annual leave plus bank holidays and official closure days over the Christmas period.
Jul 27, 2026
Contractor
Are you passionate about cutting-edge biology, stem cell systems, and building something from the ground up? Ready to take a leading role in shaping scientific direction within an early-stage biotech environment where your ideas, experience, and impact truly matter? We're supporting a pioneering biotech startup in the search for a Production Scientist / Senior Scientist to join as one of their first scientific hires. This is a unique opportunity to help build a platform focused on developing advanced human biological models to support drug discovery and translational research. If you enjoy hands-on experimental work, designing and improving complex in vitro systems, and working in a fast-paced, collaborative environment where priorities evolve, this could be the perfect role for you. About the opportunity: This is a 14-month contract position (with potential to transition into a permanent role) based in a newly established laboratory environment. Due to the nature of experimental timelines, the role requires flexibility to occasionally work weekends, with time taken back during the week to ensure balance. You'll work closely with founders and scientific leadership, helping define workflows, protocols, and the long-term direction of the platform. In this role, you will: Develop, optimise, and scale complex human stem cell-derived 3D culture models Design and execute experiments to support platform development and validation Establish robust lab protocols across cell culture, differentiation, and analysis workflows Apply techniques such as immunostaining, microscopy, and molecular biology assays Interpret and present experimental data clearly to internal stakeholders Build repeatable, scalable processes with strong emphasis on quality and reproducibility Troubleshoot experimental challenges and continuously improve outputs Contribute to scientific planning, company strategy, and technical documentation Support collaboration across a small, ambitious team in a startup environment Skills & Experience: PhD (or equivalent experience) in a relevant biological field (e.g. stem cell biology, neuroscience, biomedical sciences, developmental biology) Strong hands-on experience with mammalian cell culture, preferably including induced pluripotent stem cells (iPSCs) Experience with stem cells, organoids, assembloids, or complex 3D culture systems Practical experience with immunohistochemistry, fluorescence microscopy, and molecular/cell biology techniques Ability to independently design, execute, troubleshoot, and interpret experiments Strong understanding of assay development, reproducibility, and experimental quality control Experience in biotech, pharma, or translational research environments (highly beneficial) Exposure to commercial assay/platform development or workflow scaling is advantageous Familiarity with automation, QC processes, or high-throughput workflows is beneficial Why you will love working here: Salary between 35,000 and 45,000, depending on experience Be one of the first hires in a high potential biotech startup Pension scheme 25 days of annual leave plus bank holidays and official closure days over the Christmas period.
Senior Data Scientist (leadership role) - Customer Data - 100K + 50% bonus + 6,500 car allowance - Southampton Senior Data Scientist, Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology. This role will require you to be in Southampton 2-3 days a month Key Responsibilities: Lead, coach and develop a high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions. Drive best practice in data science, model governance and technical delivery. Deliver measurable business value through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics
Jul 27, 2026
Full time
Senior Data Scientist (leadership role) - Customer Data - 100K + 50% bonus + 6,500 car allowance - Southampton Senior Data Scientist, Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making and enable personalisation across a retail organisation. You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology. This role will require you to be in Southampton 2-3 days a month Key Responsibilities: Lead, coach and develop a high-performing Data Science team. Own and deliver the Data Science roadmap, prioritising work based on business value. Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation. Ensure solutions are scalable, robust, governed and production-ready. Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions. Drive best practice in data science, model governance and technical delivery. Deliver measurable business value through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics
SENIOR DATA SCIENTIST UP TO £70,000 + EQUITY LONDON HYBRID WORKING - 2 DAYS PER WEEK Join a fast-growing fintech redefining lending through smarter, more personalised credit decisions. Take ownership of end-to-end modelling and shape how data directly drives real-world lending outcomes. THE COMPANY A UK-based fintech lender building an innovative consumer lending product focused on flexibility and affordability. The business is customer-first, using income and affordability data to make fairer lending decisions beyond traditional credit scores. With a proven model in place and strong growth plans, they offer a unique opportunity to join at an early but established stage. THE ROLE As a Senior Data Scientist, you will take ownership of credit risk and decisioning models, working across the full lifecycle from development through to deployment. This is a highly hands-on role with significant influence on how data drives commercial lending decisions. Specifically, you can expect to be involved in: Building and optimising credit risk models, including scorecards and machine learning approaches Deploying models into production and monitoring performance over time Developing data pipelines and integrating multiple data sources into decisioning frameworks Working closely with stakeholders to ensure models directly influence lending strategy and outcomes SKILLS AND EXPERIENCE Strong experience developing credit risk models, including scorecards and ML models Proficiency in Python and SQL for data analysis, modelling, and data manipulation Experience working with cloud-based infrastructure (e.g. AWS) Understanding of model deployment and production environments Ability to translate technical work into commercial lending and commercial insights Familiarity with financial services data such as bureau, Open Banking or affordability data BENEFITS The successful Senior Data Scientist will receive up to £70,000 and a comprehensive benefits package.
Jul 27, 2026
Full time
SENIOR DATA SCIENTIST UP TO £70,000 + EQUITY LONDON HYBRID WORKING - 2 DAYS PER WEEK Join a fast-growing fintech redefining lending through smarter, more personalised credit decisions. Take ownership of end-to-end modelling and shape how data directly drives real-world lending outcomes. THE COMPANY A UK-based fintech lender building an innovative consumer lending product focused on flexibility and affordability. The business is customer-first, using income and affordability data to make fairer lending decisions beyond traditional credit scores. With a proven model in place and strong growth plans, they offer a unique opportunity to join at an early but established stage. THE ROLE As a Senior Data Scientist, you will take ownership of credit risk and decisioning models, working across the full lifecycle from development through to deployment. This is a highly hands-on role with significant influence on how data drives commercial lending decisions. Specifically, you can expect to be involved in: Building and optimising credit risk models, including scorecards and machine learning approaches Deploying models into production and monitoring performance over time Developing data pipelines and integrating multiple data sources into decisioning frameworks Working closely with stakeholders to ensure models directly influence lending strategy and outcomes SKILLS AND EXPERIENCE Strong experience developing credit risk models, including scorecards and ML models Proficiency in Python and SQL for data analysis, modelling, and data manipulation Experience working with cloud-based infrastructure (e.g. AWS) Understanding of model deployment and production environments Ability to translate technical work into commercial lending and commercial insights Familiarity with financial services data such as bureau, Open Banking or affordability data BENEFITS The successful Senior Data Scientist will receive up to £70,000 and a comprehensive benefits package.
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jul 27, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. J OB P ROFILE DESCRIPTION Kainos is recognised as one of the UK's leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Senior Data Scientist at Kainos, you will be building advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. D ESIRABLE : Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Actively contributes to open-source AI projects, research publications, and industry events/websites. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Jul 25, 2026
Full time
hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. J OB P ROFILE DESCRIPTION Kainos is recognised as one of the UK's leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. M AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS : As a Senior Data Scientist at Kainos, you will be building advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. D ESIRABLE : Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Actively contributes to open-source AI projects, research publications, and industry events/websites. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Principal AI Scientist Location: Remote (UK-based) Salary: 80,000 - 100,000 + Benefits Location Requirement: UK applicants only Sponsorship: Unfortunately, visa sponsorship is not available for this position. Principal AI Scientist - Are you an experienced AI Scientist looking to lead cutting-edge research and develop next-generation AI solutions? We're partnering with an innovative organisation that is transforming how AI is applied within psychometrics and human assessment. This is a rare opportunity to take ownership of the AI research roadmap, influence technical strategy, and build intelligent systems that have real-world impact. Working remotely within the UK, you'll collaborate with cross-functional teams to design, develop and deploy advanced AI models, with a particular focus on Large Language Models (LLMs), AI agents and machine learning technologies. The Role As Principal AI Scientist, you will be the technical authority for AI research and innovation. You'll define the research direction, lead experimentation, and translate cutting-edge research into production-ready solutions. This is a hands-on leadership role where you'll balance strategic thinking with practical implementation. Responsibilities Define and own the AI research and development roadmap. Lead the design, development and evaluation of advanced AI and machine learning solutions. Build and optimise Large Language Model (LLM) applications and autonomous AI agent frameworks. Develop robust evaluation methodologies to ensure AI systems are accurate, reliable and measurable. Work closely with product, engineering and research teams to translate complex ideas into scalable products. Stay at the forefront of emerging AI research and identify opportunities to incorporate new techniques. Mentor senior technical colleagues and help establish AI best practices across the organisation. What We're Looking For We're looking for someone with significant commercial experience in AI research and technical leadership. Essential Skills Extensive experience developing Machine Learning and AI solutions. Strong hands-on experience with Large Language Models (LLMs) and AI Agent frameworks. Proven experience leading technical research initiatives and defining AI strategy. Experience taking AI solutions from research through to production. Excellent Python programming skills. Strong understanding of modern ML frameworks such as PyTorch or TensorFlow. Experience evaluating AI model performance and designing robust experimentation methodologies. Psychometric Experience You'll either have direct experience in psychometrics or possess the analytical foundation to become an expert quickly. Experience in one or more of the following would be highly desirable: Psychometrics Mathematical or inferential statistics Research methodology Measurement theory Survey research Questionnaire design Survey data analysis (for example, market research) Validity and reliability evaluation We'd Love to See PhD or Master's in Artificial Intelligence, Machine Learning, Computer Science, Statistics, Psychology or a related discipline. Experience publishing research or contributing to innovative AI projects. Experience working within research-led environments. Excellent communication and stakeholder management skills. What's On Offer Salary of 80,000 - 100,000 Fully remote working within the UK Opportunity to shape the AI strategy of a growing organisation Work on genuinely innovative AI products High level of autonomy and technical ownership Collaborative, research-focused culture Excellent opportunities for professional growth and career progression If you're passionate about advancing AI research, enjoy solving complex scientific problems, and want to lead the development of innovative AI solutions with real-world impact, we'd love to hear from you. Please note: Applicants must already have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position.
Jul 25, 2026
Full time
Principal AI Scientist Location: Remote (UK-based) Salary: 80,000 - 100,000 + Benefits Location Requirement: UK applicants only Sponsorship: Unfortunately, visa sponsorship is not available for this position. Principal AI Scientist - Are you an experienced AI Scientist looking to lead cutting-edge research and develop next-generation AI solutions? We're partnering with an innovative organisation that is transforming how AI is applied within psychometrics and human assessment. This is a rare opportunity to take ownership of the AI research roadmap, influence technical strategy, and build intelligent systems that have real-world impact. Working remotely within the UK, you'll collaborate with cross-functional teams to design, develop and deploy advanced AI models, with a particular focus on Large Language Models (LLMs), AI agents and machine learning technologies. The Role As Principal AI Scientist, you will be the technical authority for AI research and innovation. You'll define the research direction, lead experimentation, and translate cutting-edge research into production-ready solutions. This is a hands-on leadership role where you'll balance strategic thinking with practical implementation. Responsibilities Define and own the AI research and development roadmap. Lead the design, development and evaluation of advanced AI and machine learning solutions. Build and optimise Large Language Model (LLM) applications and autonomous AI agent frameworks. Develop robust evaluation methodologies to ensure AI systems are accurate, reliable and measurable. Work closely with product, engineering and research teams to translate complex ideas into scalable products. Stay at the forefront of emerging AI research and identify opportunities to incorporate new techniques. Mentor senior technical colleagues and help establish AI best practices across the organisation. What We're Looking For We're looking for someone with significant commercial experience in AI research and technical leadership. Essential Skills Extensive experience developing Machine Learning and AI solutions. Strong hands-on experience with Large Language Models (LLMs) and AI Agent frameworks. Proven experience leading technical research initiatives and defining AI strategy. Experience taking AI solutions from research through to production. Excellent Python programming skills. Strong understanding of modern ML frameworks such as PyTorch or TensorFlow. Experience evaluating AI model performance and designing robust experimentation methodologies. Psychometric Experience You'll either have direct experience in psychometrics or possess the analytical foundation to become an expert quickly. Experience in one or more of the following would be highly desirable: Psychometrics Mathematical or inferential statistics Research methodology Measurement theory Survey research Questionnaire design Survey data analysis (for example, market research) Validity and reliability evaluation We'd Love to See PhD or Master's in Artificial Intelligence, Machine Learning, Computer Science, Statistics, Psychology or a related discipline. Experience publishing research or contributing to innovative AI projects. Experience working within research-led environments. Excellent communication and stakeholder management skills. What's On Offer Salary of 80,000 - 100,000 Fully remote working within the UK Opportunity to shape the AI strategy of a growing organisation Work on genuinely innovative AI products High level of autonomy and technical ownership Collaborative, research-focused culture Excellent opportunities for professional growth and career progression If you're passionate about advancing AI research, enjoy solving complex scientific problems, and want to lead the development of innovative AI solutions with real-world impact, we'd love to hear from you. Please note: Applicants must already have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position.
