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Location: Newport or Titchfield Looking to apply your data engineering skills to work that directly informs decision-making across the UK? This opportunity sits within the Office for National Statistics, working on large-scale data platforms that support national priorities, from crisis response to economic insight. Why this role stands out Work on AI-augmented data products and pipelines Contribute to national statistics and cross-government data platforms Play a role in high-impact work such as COVID data insights and cost-of-living analysis Collaborate with analysts and data scientists to unlock the value of complex datasets Be part of a team building reusable, automated data engineering solutions What you'll be doing Designing and building scalable data pipelines Preparing and linking complex datasets for analysis Improving data quality through cleansing, validation and enhancement Translating business needs into technical solutions Supporting and mentoring others in a collaborative team environment Tech you'll use Python PySpark SQL AWS and Google Cloud Platform (GCP) Experience needed Data engineering, software engineering, or data science Building or maintaining data pipelines Working with cloud platforms (especially GCP) Communicating technical concepts with different stakeholders Apply now View the full job description and apply via Civil Service Jobs

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Senior Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads that build data-driven decision-support software. This area plays a critical role in improving operational performance by embedding advanced analytics, machine learning and optimisation into day-to-day operational decision-making across the airline. What you'll do: Develop and embed industrialised decision-support software using machine learning and optimisation techniques Act as the technical owner of one or more modules within a production-grade data science product Understand operational business problems end-to-end and identify opportunities to optimise decisions using decision-support tooling Conduct analysis and visualisation to identify valuable opportunities and assess trade-offs between design and feature options Drive modelling and technical approach decisions, balancing implementation speed, runtime performance, technical debt and business value Rapidly prototype advanced machine learning and optimisation models in Python Deliver production-grade machine learning and optimisation modules using software engineering best practice Build robust data ingestion, cleaning and processing pipelines Contribute to software orchestration and cloud-based CI/CD deployment Drive system design decisions alongside software architects Ensure robustness through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify adoption and value capture of decision-support products Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of products into operational business processes Communicate modelling approaches, trade-offs and results clearly to stakeholders Mentor junior team members Contribute to agile ways of working including Git version control, code reviews and delivery predictability What you'll bring to British Airways: Experience solving real-world problems using applied machine learning, optimisation and operational research techniques Strong Python capability and experience with data science and optimisation libraries Experience delivering production-quality data science software Familiarity with cloud platforms, CI/CD pipelines and modern orchestration tooling Strong software engineering discipline including testing, logging and version control Ability to structure complex business and technical problems and propose pragmatic solutions Confidence communicating advanced technical concepts to both technical and non-technical audiences Systems-thinking mindset with attention to detail Curious, proactive and resilient approach Collaborative working style with a strong focus on continuous improvement Commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 2+ years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads to build and embed industrialised decision-support software products. This area plays a critical role in improving operational outcomes by applying advanced machine learning and optimisation techniques to real-world decision-making challenges across the airline. What you'll do: Act as the technical owner of one or more production-grade data science product codebases Lead the end-to-end delivery of decision-support software across the full product lifecycle Understand complex operational business problems end to end and identify opportunities for data-driven optimisation Drive modelling and system design decisions, balancing implementation time, system behaviour, technical debt and business value Prototype, build and deliver industrialised machine learning and optimisation models in Python Design and build robust data ingestion, cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of decision-support products into operational business processes Communicate modelling approaches, trade-offs and results clearly to technical and business audiences Mentor and support junior team members Contribute to agile ways of working, including Git versioning, code reviews and delivery predictability What you'll bring to British Airways: Expert capability in applied machine learning, optimisation and operational research techniques Strong Python expertise with experience delivering production-quality data science software Experience working with cloud platforms and modern ML tooling Strong software engineering discipline including testing, CI/CD and version control Ability to structure complex business and technical problems and propose pragmatic solutions Clear communication skills across technical and non-technical audiences Collaborative working style with a focus on continuous improvement Systems-thinking mindset with attention to detail Curiosity, resilience and adaptability in fast-moving environments Strong commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 6+ years of highly relevant industry experience (required) 4-6 years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

Location: London Use data engineering to help keep the UK safe We're looking for Data Engineers with hands on experience designing and building data solutions to join multidisciplinary product teams delivering secure, high impact systems at the heart of UK national security. The role As a Data Engineer, you'll sit within a multidisciplinary product team , working alongside software engineers, data scientists, product owners, business analysts and delivery managers. You'll design, build and operate secure data applications and products , using a mix of modern cloud technologies, on premise platforms and long established systems. You'll follow Agile and DevSecOps principles to deliver reliable solutions that support MI5's critical operations. What you'll be doing In this role, you will: Design and implement moderate to complex data pipelines and data flows Build and manage data integration solutions across multiple sources Support analytics, business intelligence and investigative capabilities Work closely with users to deliver new features and improve existing products Identify and fix defects, creating automated tests to maintain assurance Take ownership of complex problems, breaking them down and prioritising delivery Apply modern engineering approaches, including CI/CD and Agile practices Share knowledge, mentor colleagues and help define what good looks like Contribute to Communities of Practice and cross organisation initiatives The technology Our tech stacks vary by product and may include: SQL and NoSQL databases Commercial and bespoke platforms Data processing and integration tools such as AWS Glue, Apache Spark, Airbyte, NiFi, Fivetran or similar Programming languages including Python, Java, SQL, Scala, PL/SQL or SAS Data and analytics tools such as Jupyter, Kibana, SAS and AWS services You'll work with a wide range of data models and formats , from structured and unstructured data to geo enabled and graph based models. Who we're looking for You'll be someone who can demonstrate: Experience delivering data engineering solutions within a development team Confidence designing and implementing data integration and processing pipelines Comfort learning and using a wide range of technologies Experience working with Agile and CI/CD approaches An understanding of good design patterns and secure engineering practices Strong communication skills with both technical and non technical colleagues A willingness to support and mentor others in an inclusive environment Interested? Apply via Civil Service Jobs to see full details, including the selection process and security requirements.

Location: London At MI6 (the Secret Intelligence Service), we're investing heavily in artificial intelligence and machine learning to strengthen how we operate today and prepare for the challenges of tomorrow. As a Machine Learning Engineer , you'll be a key part of that transformation. You'll be working at the point where machine learning moves into live, operational use , designing, deploying and maintaining robust capabilities in environments where quality, resilience and trust are paramount. What you'll be working on In this hands on and highly influential role, you will: Design, build and operate mission critical machine learning systems Own the end to end ML lifecycle , from training and fine tuning through to deployment and live monitoring Act as the bridge between research and production , ensuring models are reliable, scalable and fit for purpose Shape and improve MLOps practices , infrastructure and workflows Champion explainable, ethical and transparent AI as core engineering principles Collaborate with data scientists, researchers, software engineers and hosting specialists Support and mentor other engineers, helping to raise ML capability across teams Who we're looking for You might be: A Machine Learning Engineer with end to end deployment experience A Software Engineer who has built and run applied ML systems A Data Scientist with strong engineering and mathematical foundations What matters most is that you: Understand the full ML lifecycle Have experience deploying, monitoring and optimising models in live environments Are comfortable working with MLOps tooling, cloud platforms and Python Can work calmly with ambiguity and think beyond the immediate task Communicate clearly and collaborate well within technical communities Experience with tools such as Weights & Biases, Docker or Kubernetes is helpful, but not essential. Important to know Due to the nature of the work, the role is based in London , and the recruitment process includes enhanced security checks. Find out more & apply View the full job description and apply via Civil Service Jobs

Location: Leeds, Manchester, Liverpool HMRC supports over 50 million customers and funds UK public services - and this role helps power the data that makes it all work. You'll be helping teams deliver analytics and machine learning solutions that have real operational impact across the UK. What you'll be doing You'll work closely with data scientists and engineers to improve HMRC's data analytics platform, helping teams access, transform and use data more effectively. This includes onboarding new data sources, managing data transformations, supporting R/Python applications and APIs, and ensuring data is secure and compliant. What we're looking for Can code in Python, R, SQL or SAS and take solutions from prototype to production Are confident working with data pipelines, transformations and integrations Can collaborate with both technical and non-technical stakeholders Have experience working across teams to deliver data-driven solutions Are keen to learn, develop and support others Why this is a great opportunity You'll be working in a large, complex data environment with real-world impact, alongside collaborative teams, with strong support for development, mentoring and continuous learning. Interested? This partner post gives you the overview. Click through to the full Civil Service Jobs advert to see full details and apply.

Location: Swansea This Lead Data Engineer role sits within DVLA's data platform team, working on modern, large-scale data systems that drive better decisions, insights and digital services. Why this role stands out Lead engineering for high-impact data products across DVLA Work with modern technologies including Databricks, Spark, and lakehouse architectures Shape standards and best practice across a growing data function Collaborate with product teams, analysts and data scientists Play a key role in improving digital services at national scale What you'll be doing Leading the design and build of data pipelines and data products Developing robust data models and integrations across systems Ensuring data is processed efficiently for analytics and business intelligence Driving best practice and standards across data engineering teams Supporting performance optimisation and balancing cost, scalability and reliability Working across teams to enable reuse of data and improve delivery Who this role could suit This role could be a strong fit if experience includes: Leading data engineering or data platform delivery Strong SQL and Python development skills Experience with big data technologies (e.g. Spark, Databricks ) Data modelling, warehousing and large-scale data processing Mentoring teams and setting engineering standards Interested? This partner post gives you the overview. Click through to the full Civil Service Jobs advert to see full details and apply.

Help build the world's first automated "airlock" for health research environments. At UK Biobank, we're developing new technologies that will help researchers securely work with some of the world's richest biomedical datasets. This role sits within a team building what is believed to be the world's first automated output checking system for trusted research environments using AI and cloud-native technologies to help ensure researchers can only export files regarded as safe. It's a genuinely greenfield engineering challenge, combining AI-driven approaches, secure cloud-native architecture, and modern full-stack development to support global health research. Can you do it? You'll play a leading role in the development, integration, and delivery of UK Biobank's Automated Output Checking SSystem,helping shape a platform that supports secure research at a global scale. Working closely with architects, researchers, vendors, and internal engineering teams, you'll help design and build scalable integrations across research platforms and cloud-native services. This role combines hands-on engineering, technical leadership, and modern platform design, requiring someone who can work confidently across backend services, frontend applications, infrastructure, APIs, and cloud environments. The solution applies AI techniques, follows cloud-native principles, and is being built from the ground up giving you the opportunity to influence both architecture and technical direction. You will be responsible for: Ensuring integration patterns align with enterprise architecture principles, including event-driven, API-first, and microservices-based approaches. Designing and developing scalable, secure, cost-efficient and maintainable full-stack applications using Python (backend) and TypeScript (frontend), including relational and non-relational database management systems on AWS. Developing responsive and accessible user interfaces using modern frontend frameworks (e.g., React with TypeScript) Developing and manage infrastructure using Infrastructure as Code (Terraform), ensuring reproducible and auditable environments Develop CI/CD pipelines to enable continuous integration, testing, and deployment. Ensuring systems are designed with observability, logging, and monitoring to support operational excellence. Is this you? To be successful, you will have experience in: Full-stack software development within enterprise environments Backend development using Python frameworks such as FastAPI, Flask, or similar Frontend development experience using TypeScript and modern frameworks such as React or Vue AWS services (e.g., IAM, S3, Lambda, ECS/EKS, API Gateway, Step Functions) Microservices architecture and distributed systems Designing and consuming secure APIs with CI/CD pipelines and DevOps tooling Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (initially based in Stockport with a move to Manchester Science Park mid to late 2026). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson so we can support you. Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77% (High), reflecting how people experience working here day-to-day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued, whether that's developing new skills, contributing ideas, or building a career within Data & Technology. Benefits ️ 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget ️ Free On-Site Gym ️ Subsidised Canteen Lunches Free Car Parking ️ Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination ️ Life Assurance Cover About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.

Role: Associate Director - AI & Machine Learning Rate: Neg Location: London (2-3 days a week on site) Status: Inside IR35 Term: Initial 6 months Our client, a growing digital and AI consulting practice, is looking for an Associate Director to lead the delivery of advanced AI and machine learning solutions across a range of industries. This is a senior, hands-on role combining technical leadership, client engagement, and commercial delivery, with a strong focus on causal AI and real-world impact. The Role You will lead end-to-end AI engagements, from shaping problem statements through to production deployment. This includes designing scalable ML systems, guiding delivery teams, and ensuring high technical standards across projects. A key part of the role is applying causal inference techniques to solve complex business problems, moving beyond prediction to understanding cause-and-effect. Key Responsibilities Lead delivery of AI/ML solutions from design through to production Architect systems across ML, NLP/LLMs (eg RAG), and knowledge graphs Act as the senior technical lead, ensuring quality, scalability, and best practice Translate business problems into structured technical solutions Manage and mentor data scientists and engineers Apply causal modelling to areas such as churn, pricing, and optimisation Support business development, proposals, and technical assessments Required Experience Causal AI (Essential) Strong hands-on experience with causal inference (eg DoWhy, EconML) Building and interpreting causal models (DAGs) in real-world scenarios Experience estimating treatment effects using observational data Ability to clearly explain causal vs predictive approaches Machine Learning & AI Strong Python experience (Pandas, NumPy, Scikit-learn, PySpark) Experience with LLM systems (RAG, prompt engineering, orchestration frameworks) Knowledge graphs (Neo4j or similar) End-to-end ML life cycle experience (MLOps, CI/CD, MLFlow, Docker, etc.) Consulting & Commercial Background in consulting or client-facing delivery roles Experience handling stakeholders and translating complex requirements Exposure to due diligence or value creation work is beneficial Ideal Background Experience in financial services, private equity, or regulated industries Strong academic background in a quantitative field (MSc/PhD preferred) Exposure to real-world AI deployments and measurable business impact

Help build one of the world's first AI-driven output checking systems for health research. At UK Biobank, we're developing new technologies that will help researchers safely access and use some of the world's richest biomedical datasets. This role sits within a team building what is believed to be the world's first automated output checking system for trusted research environments using AI and cloud-native technologies to help ensure researchers can only export files regarded as safe. It's a rare opportunity to work on something genuinely new, technically challenging, and mission-driven. Can you do it? You'll join a growing engineering team focused on developing and integrating the Automated Output Checking System across UK Biobank's internal and external research platforms. Working across backend services, frontend applications, APIs, and cloud infrastructure, you'll help build secure and scalable integrations between access management systems, research analysis platforms, trusted research environments, and supplier-built services. This role combines full-stack engineering, cloud technologies, and emerging AI-driven approaches, giving you exposure to modern system design while contributing to technology that supports global research. You will be responsible for: Building and maintaining scalable, secure, cost-efficient and maintainable full-stack applications using Python (backend) and TypeScript (frontend), including relational and non-relational database management systems on AWS. Developing responsive and accessible user interfaces using modern front-end frameworks (e.g., React with TypeScript) Assisting in implementing CI/CD pipelines and automated deployment processes Ensuring appropriate logging, monitoring, and basic observability are implemented within developed components. Participating in development of AI-driven validation and rule-based decision logic under guidance Is this you? To be successful, you will have experience in: Full-stack software development within a product or delivery team Developing backend development using Python frameworks such as FastAPI, Flask, or similar Frontend applications using TypeScript and frameworks such as React or Vue Working with cloud platforms, preferably AWS Microservices and API-based architectures SQL and/or NoSQL databases Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (initially based in Stockport with a move to Manchester Science Park mid to late 2026). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson at j so we can support you Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77% (High), reflecting how people experience working here day-to-day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued, whether that's developing new skills, contributing ideas, or building a career within Data & Technology. Benefits ️ 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget ️ Free On-Site Gym ️ Subsidised Canteen Lunches Free Car Parking ️ Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination ️ Life Assurance Cover About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.

Data Scientist Location: London Contract type: Contract Rate / Salary: £600-£850 per day PAYE Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for a Data Scientist to join our client's established and growing data science profession. This is a hands-on role suited to someone with a solid foundation in data science who wants to apply their skills to real problems, learn through delivery, and grow within a supportive professional community. You will work on meaningful, production-focused data science initiatives rather than abstract experimentation. The role offers exposure to multiple projects, access to experienced colleagues, and the opportunity to build depth and confidence by contributing to work that has tangible impact. This environment is far from ordinary - and we're not looking for ordinary. 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 - 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.

Applied AI Scientist Location: London Contract type: Contract Rate / Salary: £600-£800 Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for an Applied AI Scientist to join our client's growing Data Science profession. This is a senior, hands-on technical role for someone who enjoys deep technical delivery and influencing through credibility rather than hierarchy. The role focuses on applying modern AI techniques to real-world problems in complex, constrained environments. You will work closely with users, stakeholders and fellow data scientists to translate real operational needs into effective AI solutions that deliver tangible outcomes. You will often be working in settings where model behaviour, system constraints and human use interact in non-obvious ways. This is not AI experimentation for its own sake. It is about building solutions that work in practice. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. 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.

Turning data into decisions the business can act on. Wide exposure across analytics, Machine Learning and systems application. Business-led data science with commercial impact rather than academic research. Remote role with monthly Bristol trips. Working with Python, Microsoft Fabric and SQL to shape projects and support the business. What you'll be doing The Applied Data Scientist role focuses on delivering practical data science and analytics across a large operational environment. You will own projects end to end, from problem definition through to deployment and stakeholder communication. You'll sit close to the business, working on commercially important problems and translating insight into action. This is a strong opportunity for someone who enjoys applied analytics, systems and real-world impact, with a data science application and background!As an Applied Data Scientist, you will analyse data, build models and deliver insight that supports better business decisions. You'll work on various projects that include forecasting, classification, optimisation or performance analysis and more.You will collaborate with engineers to ensure solutions are scalable and reliable, engage regularly with stakeholders, presenting findings clearly and helping teams understand the commercial impact of the work. Sound like you? Apply now! What experience you'll need to apply A Computer Science, Data Science or similar degree (2:1 or above) Ideally a minimum of 3 years of commercial experience in a data science or ML role Strong Python experience in production settings Experience with Microsoft Fabric Experience working with SQL and structured datasets Exposure to ML and LLM driven solutions A clear, business focused communication style Ability to translate data science projects into commercial outcomes and apply to a business context What you'll get in return for your experience A salary of up to £55,000, depending on experience. The role is flexible and remote working, with required travel to the Bristol office once a month and occasional (but less common) London meetings (which would be paid for). You will work on high impact projects with modern tools, clear ownership and visible results. What's next? Apply below and we'll reach out to set up a call if it's a good fit!

DELIVEROO is seeking an Analytics Engineer to join their team in Greater London. This role involves creating clean and documented data sets for data scientists and business users, optimizing data products like Looker, and collaborating with product engineering teams. Candidates should have at least 3 years of experience in Analytics Engineering or similar roles and a strong understanding of cloud-based data warehousing. Comprehensive benefits include health, family and financial support.

Help shape the future of blockchain intelligence at Elliptic At Elliptic, we're building the intelligence layer for the future of finance. Our teams transform complex blockchain and off chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic's analytics and decisioning products. As a Data Engineer, you'll design and optimise systems that process large scale blockchain and off chain datasets, enabling organisations worldwide to make trusted, data driven decisions. Whether you join one of our platform focused teams or those that work directly on product data, you'll tackle challenges spanning batch and streaming processing, building high quality, scalable solutions for a rapidly evolving ecosystem. What you will do Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points Evaluate design options and trade offs across performance, scalability, reliability, and cost Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement Strengthen pipeline reliability, observability, and automation through code and tooling improvements Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture Tech environment Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you. You will fit right in if you Enjoy writing clean, well tested, and efficient code Use data and experimentation to make informed decisions Thrive in a collaborative, open culture where sharing and feedback are part of daily work Are curious about new technologies, including how AI and automation can enhance data engineering Appreciate an environment that values autonomy, mentoring, and personal development Want to take advantage of AI driven productivity tools as part of your day to day engineering What we are looking for We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. Experience delivering and maintaining distributed data pipelines Practical knowledge of Spark, Databricks, or similar big data frameworks Familiarity with cloud infrastructure (AWS, Azure, or GCP) Understanding of data-architecture trade offs, such as scalability, resilience, and observability Interest or experience in functional programming Bonus points for: Experience in streaming processing concepts like delivery semantics, ordering or partitioning Hands on work with Infrastructure as Code (Terraform or CloudFormation) Knowledge of container orchestration (Docker, Kubernetes, Helm) An interest in blockchain and cryptocurrency technology, or a desire to learn Experience applying AI or automation within deployed services Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit. Engineering culture Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy. Be part of the team If you are excited about building the data backbone that powers Elliptic's data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks of fully paid leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme