466 jobs found

Looking out for mix of Data Science and Data Engineering. Someone who is half data scientist and data engineer - Someone who can build and maintain machine learning models And also an engineer who can build data pipelines Someone good at insights and presenting Measuring the success of the sales motions Understands preprencity models SQL - focus project Python is essential GCS is acting as an Employment Business in relation to this vacancy.

Role: Platform Engineer Location: London (Hybrid - 3 days per week on-site) Duration: 6 Months Day rate: 600 - 630 inside IR35 SC clearance required About the Role: We are seeking a highly skilled and experienced Platform Engineer to build and maintain the core infrastructure and tooling that empowers our data scientists, economists, and developers working on our cutting-edge Azure Databricks Economic Data Platform. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Platform Engineer will focus on creating a self-service, scalable, and reliable platform that streamlines development workflows, simplifies infrastructure management, and enhances overall productivity. This role requires a strong understanding of cloud computing (specifically Azure), infrastructure-as-code (IaC), DevOps practices, containerisation, orchestration, and a passion for building developer-friendly platforms. Essential Skills & Experience: 5+ years of experience in platform engineering, DevOps engineering, or a related role. Strong experience with Azure cloud platform and services - Data Factory, Databricks, WebApp Service, API Management & APIOps. Good experience with IaC tools like Terraform, ARM templates, or Bicep. Solid understanding of CI/CD principles and experience with CI/CD tools like Github Actions, Azure DevOps, Jenkins, or GitLab CI. Preferred 2+ years of experience with Github Actions Strong experience with containerisation technologies like Docker and orchestration tools like Kubernetes (or AKS). Experience with monitoring and logging tools. Scripting skills in PowerShell, Bash, YAML and Python. Good understanding of networking concepts and security best practices. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with Azure Databricks and its integration with platform tooling. Experience with configuration management tools like Ansible, Puppet, or Chef. Experience building and maintaining internal developer platforms. Experience working in a regulated industry (e.g., financial services). Azure certifications (e.g., Azure DevOps Engineer Expert, Azure Administrator Associate, Azure Solutions Architect Expert).

This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the relevant skills for this Bioinformatician Engineer contract position, please do apply.

Analytics Platform Engineer (Python, Kubernetes) - Secure Gov - Cheltenham - (RL8096) Job Title - Analytics Platform Engineer (Principle & Senior) Location - Cheltenham Salary - Competitive Benefits - Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission-critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client - We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission-critical solutions. Operating at the forefront of data, cloud, and AI-driven innovation, they offer an environment where engineers can work on complex, high-impact challenges with real-world significance. The Candidate - This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data-driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role - We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high-impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full life cycle from development through to deployment and ongoing optimisation. This is a hands-on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms Contribute across the full software development life cycle Support cloud migration and data management initiatives Develop, test and deploy new platform capabilities Troubleshoot and enhance existing analytics services Provide hands-on support to Data Scientists and MLOps teams Tackle complex engineering challenges across a varied tech stack Requirements: Strong experience with Python Experience with Kubernetes and Docker Understanding of CI/CD pipelines (eg GitLab) Exposure to data platforms, MLOps or machine learning environments Desirable: Spark or Scala AWS services (eg S3) Elasticsearch or graph databases Vector databases/modern data tooling OIDC/OAuth Node.js or React To apply for this Analytics Platform Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.

Software Engineer £55,000 - £70,000 2-3 days onsite in Coventry We are looking for a Software Engineer to join a Research & Development team and help develop cutting-edge algorithms and advanced mathematical and scientific software. This role offers the opportunity to work on advanced mathematical and scientific software, contributing directly to the performance and success of products used by professionals worldwide. You will collaborate with a multidisciplinary engineering team that includes research scientists, electronics hardware engineers, embedded software developers, cloud/backend engineers, and mobile app developers. Your work will play a critical role in shaping both current and future product capabilities. Key Responsibilities Design and develop advanced algorithms for measurement and motion analysis Develop and optimise sensor fusion algorithms combining data from multiple sensors Build and maintain high-performance C# scientific and mathematical libraries Apply 3D vector mathematics and advanced mathematical models to real-world problems Collaborate with cross-functional teams across hardware, embedded, mobile, and cloud development Analyse complex datasets and improve algorithm accuracy, efficiency, and reliability Contribute innovative ideas to advance product capabilities and technical performance Essential Skills & Experience Strong C# development experience, particularly building scientific, mathematical, or computational libraries Strong understanding of advanced mathematics and algorithm design Experience working with 3D vector mathematics and spatial calculations Excellent analytical and problem-solving skills Demonstrated ability to develop innovative technical solutions Desirable Skills Experience with Inertial Navigation Systems (INS) Experience developing software for drones, robotics, or motion-tracking devices Experience implementing Sensor Fusion techniques such as Kalman Filters Experience using MATLAB for algorithm development or simulation

The Opportunity: You'll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Software Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you'll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today's society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years' experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (eg Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

ABOUT THE ROLE Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ordering, production, rota scheduling, logistics and online services optimisation. Extend functionality of our Bread GPT service (Large Language Model insight synthesis engine). Data engineering: build and develop ETL processes in Microsoft Fabric to support reporting, insight and applied AI models A hands-on role working with other staff and partners. Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications. Ensure the continuous development and delivery of solutions. Monitor and evolve solutions. Mentor and guide junior team members, fostering a culture of continuous learning and improvement. Develop effective working relationships with colleagues within and beyond the Technology team to ensure that a consistent, high-quality service is delivered. ARE YOU THE MISSING INGREDIENT Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience within excellent knowledge of Python and preferably R. Knowledge of ETL processes - ideally basic understanding of Microsoft ETL (Data Factory / Synapse / Fabric) Knowledge of databases (SQL & NoSQL) and API development/integration. Understanding of software development and application design. Proven experience in building data science solutions and developing customised LLM applications. Strong interest in technology. Excellent problem-solving skills and attention to detail. Knowledge of effective business analysis - ability to gather, document, and analyze business requirements effectively and the experience creating user stories, process flows, and wireframes. Ability to work effectively in a fast-paced, dynamic environment. Strong communication and collaboration skills. "Can do" outlook and approach to work. Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques. Ability to prioritise issues according to business needs, and to escalate when necessary/appropriate, and problem solve Preferred Qualifications: Experience in manufacturing, retail or hospitality industries. Knowledge of programming languages and frameworks. BENEFITS BAKED IN Free food and drink when working 50% off food and drink when not working 33 days holiday Pension Scheme Discounts and Savings from high-street retailers and restaurants 24 hour GP service Cycle to work scheme Twice yearly pay review Development programmes for you to RISE with GAIL's

Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Please note this is a training course and fees apply. Job guaranteed - complete the programme and get a job or get your money back. Our graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Role: Palantir Foundry Data Engineer Location: Remote working Day rate: 400pd- 500pd Contract: 3 month initial We are currently recruiting for an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production-grade data foundations that support analytics, automation, and operational decision-making. You will play a key part in shaping the data ecosystem, ensuring reliability, performance, and long-term sustainability. Skills and experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require occasional travel to client site, please consider this when applying for the role. If you are interested in the role and would like to apply, please click on the link for immediate consideration.

Head of Marketing Mix Modelling - 12 month Contract We are helping a FTSE 100 consumer health company recruit an Head of Marketing Mix Modelling The project/initiative name MMM includes all work pertaining to improving media spend coverage of Marketing Mix Modelling from 65% to 80% through availability of Marketing Mix Models (in-house and outsourced to a modelling partner). Multiple squads are part of the MMM initiative and loosely ladder up into the follow different areas: - Modelling. - Data Ingestion & automation. - Internalisation of external developed architecture. - Visualisation. Background - As we continue to increase the coverage of MMM via our internally built capability, we require a MMM SME to aid the Business Units (BUs) translate modelling results into actionable insights to realise value. - We require a seasoned MMM professional with extensive CPG/Consumer health experience to scope MMM deliveries, deliver model results and work with local stakeholders to provide actionable insights with immediate impact. Scope - Work with local stakeholders to scope MMM deliveries (including what data to include and aligning on the scope of the models). - Once the Data Scientists have complete models, deliver these models to the local stakeholders in the PowerBI report, and work with local stakeholders to provide actionable insights that have aide realising the value from the tool (eg by optimising the media mix). - Over 2025, deliver 25 BMCs models (phased quarterly). - Track value realisation with the aim to show a 5% increase in ROI from media spend. Capability - 7+ years' experience of delivering MMM to client either agency or client side. - Experience delivering models for consumer health brands. - Experience delivering models for clients with a global footprint (eg involved in projects across EMEA, APAC, US, LATAM etc. This role offers circa £750 a day inside of IR35 for an initial 12 months - full remote.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Please note this is a training course and fees apply. Job guaranteed - complete the programme and get a job or get your money back. Our graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

On behalf of one of our premier clients, we are seeking a high-caliber Cybersecurity Specialist to join their expanding AI & Data Security team. This is a critical role within our client's AI Security programme, designed for a professional who thrives at the intersection of traditional infrastructure security and the emerging frontier of Generative AI. Our client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards. Key Responsibilities AI Security Architecture: Design and implement secure deployment patterns and guardrails for foundation models across AWS Bedrock , Azure OpenAI , and Microsoft 365 . Security Strategy: Develop innovative strategies to enhance application security, specifically addressing risks like prompt injection, data leakage, and insecure output handling. Infrastructure Governance: Translate platform-specific risks into actionable engineering patterns, focusing on Network Encryption and Identity Management . Assessments & Audits: Conduct rigorous security assessments and red-teaming exercises on AI-driven applications and AI Agents . Leadership & Mentorship: Lead the team through complex technical decisions, provide high-level problem-solving, and mentor junior members on modern security principles. Collaboration: Work closely with AI Engineers and Data Scientists to integrate security into the LLM lifecycle (RAG pipelines, fine-tuning, and inference). Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Your new company One of the most influential Central Government Organisations in the current economic climate Your new role Data Scientist - SC Cleared - SQL, Python & R What you'll need to succeed My client is looking for an Analytical Data Scientist, leading/working alongside a team of data scientists to deliver key outputs for commissioned projects (use cases). You will also support the development of GSCIP through developing tools, data visualisations, and data available for analysis. You will have the opportunity to work on bespoke data science projects to improve understanding and interpretation of the data, and enhance use case delivery capability. This role can only be offered to candidates with Active and Existing SC or DV Clearance. Essential Criteria: Experience of delivering high-quality coding projects that make use of at least two of: SQL, Python & R Experience of engaging with stakeholders across government to scope and deliver impactful analysis Experience of leading teams through complex data science projects - a track record of delivering complex data science projects on time to meet user needs, and overcoming any challenges A demonstrable commitment to developing your knowledge and expertise Significant technical data science knowledge Desirable Criteria: Understanding of supply chain data sources Experience with Pyspark/Spark SQL Experience delivering interactive visualisations in Python and SQL Graph data experience, including with graph query languages and knowledge graphs Experience working on technical commercial procurements This is a hybrid role at 40% and Monday is a mandatory team day. Successful candidates will join the role asap and interviews are to commence 16/3/26 onwards. What you'll get in return This is an excellent role to join the GSCI Programme as an experienced Data Scientist, ensuring existing delivery and data standards are maintained and services scaled up! What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Our client, a prominent entity in the Defence & Security sector, is seeking a meticulous Data Scientist with a strong understanding of Linux, Data Science, and AWS to join their team. This is a contract position located in London for a duration of 12 months, requiring a UKIC DV clearance to undertake sensitive and impactful work. Key Responsibilities: Develop and deploy data science solutions to support national security missions. Build and optimise data pipelines for processing large, complex datasets. Apply machine learning and statistical techniques to extract actionable insights. Create clear visualisations to communicate findings to stakeholders. Collaborate in agile teams to deliver robust, scalable solutions. Support cloud-based deployments and integration into operational environments. Job Requirements: Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation. Knowledge of machine learning models and statistical techniques, including validation. Understanding of data analytics and data visualisation techniques. Ability to process large datasets via batch or stream processing using Apache Spark or similar tools. Exposure to techniques used for acquiring and fusing data. Experience with cloud platforms (preferably AWS) or implementing cloud-based data science solutions. Knowledge of, or willingness to learn, DataOps. Experience with structured or unstructured databases. Experience with container technologies, including Docker and Kubernetes. Familiarity with agile ways of working. Understanding of software best practices including version control, CI/CD pipelines for automated testing, and deployment. Proficiency in Linux. BPSS & Current UKIC DV clearance. Additional Details: Location: 5 days per week onsite - London Duration: 12 months If you are a dedicated Data Scientist with the necessary clearances and skills, and are eager to contribute to mission-critical projects in the realm of national security, we want to hear from you. Apply now to take the next step in your career with our client.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? . Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Please note this is a training course and fees apply. Job guaranteed - complete the programme and get a job or get your money back. Our graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? I Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Please note this is a training course and fees apply. Job guaranteed - complete the programme and get a job or get your money back. Our graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.