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Position Overview We are looking for a meticulous and analytical Data Analyst to join our team in the rapidly expanding electric mobility sector. In this role, you will transform raw data into meaningful insights that enhance network efficiency, user satisfaction, and operational performance. This opportunity is perfect for someone passionate about sustainability, clean energy, and leveraging data to guide business decisions. Key Duties Gather, clean, and analyze information from charging infrastructure, apps, user behavior, and operational systems. Create dashboards and reports to monitor key performance indicators, including usage patterns, uptime, revenue, utilization, and customer trends. Detect trends in energy use, station performance, and demand to support strategic initiatives. Offer recommendations to improve charger placement, energy management, and preventive maintenance. Work closely with operations, product, engineering, and business teams to drive data-informed projects. Perform targeted analyzes to inform new features, pricing strategies, and growth opportunities. Maintain data accuracy, integrity, and compliance with security and privacy regulations. Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field (Master's degree preferred). 2+ years in a data analysis or similar role (experience in energy, EVs, or mobility is a plus). Skilled in SQL, Python/R, and visualization tools such as Power BI, Tableau, or Looker. Strong analytical abilities with experience in forecasting, statistical modeling, or machine learning. Familiarity with energy, IoT, or mobility datasets is advantageous. Excellent problem-solving and communication skills, able to translate complex data into actionable insights. What We Provide A chance to contribute to the clean mobility movement. Competitive compensation and benefits. A collaborative, mission-focused work environment. Opportunities for career development in a fast-growing industry.

Key Responsibilities Define and deliver BDUK’s Digital, Data and Technology (DDaT) strategy, aligning it with organisational priorities and advising senior leaders on opportunities, risks and investment decisions Lead the design, build and running of digital services and applications that power BDUK’s core programmes, and embed user-centred design, accessibility and continuous improvement Build on BDUK’s data capabilities, ensuring data is secure, well-governed and high quality, and drive the use of data, automation, AI and machine learning to generate insight and improve decisions Oversee the performance, reliability and security of core systems and platforms, ensuring robust operations, risk management and compliance with government standards Lead and develop a skilled, multidisciplinary DDaT workforce, fostering a culture of collaboration, innovation and continuous improvement Represent BDUK’s DDaT agenda across the organisation and the wider government community, championing excellence and capability building

As the Principal Data Architect for the National Data Library, you will be responsible for: leading the iterations of design and delivery of a scalable, federated data architecture for managing and linking foundational data across government departments and public bodies. defining and implement data product standards, including metadata, lineage, and interoperability protocols, using modern tooling and practices. establishing data observability frameworks to monitor data quality, freshness, and reliability. designing and supporting secure, privacy-preserving data access mechanisms, including APIs, dynamic access platforms, and zero-trust architectures. ensuring datasets are structured and enriched to support AI-native applications, including large language models, semantic search, and machine learning pipelines. collaborating with foundational data stewards, delivery teams, and solution architects to embed best practices and ensure alignment with strategic goals. contributing to the delivery of scalable, reusable data solutions through kickstarter projects, enabling rapid experimentation and cross-government reuse. acting as the lead subject matter expert on data architecture within the NDL programme, supporting system reform and capability building.

Big Data Scientist - Expert – Manchester Our Client an international organisation is looking to recruit a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

Data Scientist – Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

An AWS Data Engineer is required for an initial 12 month contract. This role is hybrid requiring 2 days per week on site in Knutsford and is inside IR35 so you will need to work via an FCSA accredited umbrella company. Job Description: Years of Experience : 8+ Essential Skills: *AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.) *Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. *Proficiency with Python, Pyspark, Big-data ecosystems *Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Desireable Skills : *Experience with RESTful APIs and integrating backend services LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

We are currently seeking a Lead AI Engineer to work with our public sector client 6 months contract £700 - 750 inside IR35 Location: London Bristol or Manchester / Hybrid / Flexible on remote working The ideal candidates will have a proven Artificial intelligence engineering background within public sector ideally holding active SC clearance or have government project experience Skills & responsibilities: Ideating and developing one or more AI projects. These could be fully-fledged internal applications the incubator is building. Alternatively, they might be services we're building for the government's biggest missions in collaboration with other departments, where we work closely with technical counterparts. Writing and reviewing code daily. Collaborating with cross-functional teams and senior stakeholders to quickly understand customer needs and translate them into pragmatic technical solutions leveraging AI. Leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products. Evangelising best practices in applied AI across government. Staying on top of the latest developments in AI, including new models and paradigms. Proficiency in Python. An understanding of deploying and monitoring such systems in a cloud environment. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI. Nive to have: Building AI agents, or products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models Hands-on experience with containerisation technologies such as Docker. Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work to achieve the best possible outcomes.

Job Title: Software & Data Science Engineer Location: Warton - Onsite Salary: £47,683+ depending on skills and experience What you'll be doing: Derivation of early concept and/or research requirements Iterative design, development, integration, assessment and demonstration of software and Data Science applications matched to requirements Driving and coordinating collaboration with team members, multi-disciplinary internal specialists, and external partners Driving the adoption and use of good Software Engineering practices and associated Industry Standards where possible Documenting and presenting activity progress and results to internal and external stakeholders Writing business cases and proposals to steer software-related research and internal investment activities Conducting performance reviews and providing day-to-day Line Management for team members Your skills and experiences: Essential Software development using one or more high-level programming languages (e.g. C, C++, Java, Python) Practical applications of Data Science, ideally in the domain of Machine Learning for Artificial Intelligence, and associated development toolsets Utilising collaborative Continuous Integration / Continuous Deployment environments within the Windows and Linux operating systems based on Open Source toolsets e.g. GitLab Desirable The Software Development Lifecycle and Fundamental Software Engineering practices e.g. the use of SOLID principles Managing people and working collaboratively within a multi-disciplinary team Practical application of Agile methods across the requirements capture, planning and execution phases of projects The Systems Technology & Capability Delivery Team: The role involves working as part of a dynamic, highly-collaborative, multi-disciplinary engineering team to develop software applications to support a diverse portfolio of novel technology programmes across the FalconWorks® organisation. These applications will focus on the early instantiation, evaluation and demonstration of the very latest ideas and technologies, frequently working with internal specialists across domains including Mission Systems, Autonomy, Human Factors, Software Engineering, Modelling & Simulation, Information Systems and Test & Evaluation.

This senior leadership role in Data Strategy shapes strategic planning and drives responsible innovation with data. As Head of Responsible Data Innovation and AI, you’ll lead cross-government efforts to embed accountable, effective use of data and AI. You’ll champion a culture of experimentation—rapidly prototyping machine learning models and emerging data technologies. The role focuses on sustainable data use: reuse, preservation, and protection from misuse in AI. You’ll lead pilots to test innovations in real-world public sector settings, evaluating their impact and scalability. Working closely with suppliers, you’ll shape roadmaps for AI and data tools that unlock public sector capabilities. Strong influencing skills are essential to demonstrate value, drive adoption, and embed responsible deployment across government. Collaboration with internal teams—data architecture, ethics, privacy, and protection—is key to translating innovation into scalable, responsible delivery. Research & Horizon Scanning Lead cross-cutting research on emerging data and AI trends, especially technologies that enable data readiness. Inform government AI blueprints through horizon scanning and evidence-based insights. Foster supplier collaboration to build sustainable data ecosystems that drive innovation and responsible tech use. Run experiments to test new approaches, with a focus on data reuse, long-term preservation, and protection from misuse. Delivery & Implementation Lead cross-government programmes on responsible data and AI, focusing on data-driven reliability and data readiness. Develop tools and methods to unlock structured and unstructured data for AI. Scale successful innovations from pilot to deployment across departments. Policy & Guidance Translate strategic policy into tangible, data-driven tools and frameworks that support responsible readiness of data for AI adoption. Ensure alignment with legal and regulatory requirements. Contribute to DSIT’s Responsible AI Advisory Panel and governance structures by embedding strategic data perspectives. Evaluation & Assurance Design frameworks to assess responsible data use in AI. Build open-source Python tools for data evaluation. Feed insights into data-driven AI reliability and maturity models to support trustworthy deployment. Stakeholder Engagement Build strong partnerships across government, academia, and industry. Shape supplier roadmaps for data-ready infrastructure. Align innovation with ethics, privacy, and protection teams. Rapid Prototyping & Tooling Champion a culture of experimentation and rapid prototyping. Design scalable tools to unlock value from complex data. Promote sustainable, secure data use and reuse.

Solutions Architect Our Client is an international consultancy with over 3000 employees. They are now looking to recruit a Senior Solutions Architect to based at the Company’s Central London Offices. You will extensive and deep Expertise in following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka Solution architect with broad expertise in wide range of digital technologies in areas of application platform development, web and mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure Understanding of distributed computing paradigm and exposure to building highly scalable systems. Experience with platform modernization and cloud migration projects Expertise in Agile development methodologies like TDD, BDD, Performance/Load testing etc. DevOps experience – CI/CD, Test Automation, Containerization – tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web /mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus Ability to read/write code and expertise with various design patterns Have used NoSQL database such as MongoDB, Cassandra, etc. Work on opportunities along with sales, practice, delivery teams through the pre-sales process Develop customer proposals – solution architecture, pitch decks, estimating solution effort, resourcing and timelines Translate requirements into solution architecture diagrams, implementation roadmap, delivery approach and other artifacts Understand business & technology issues /challenges and translate that to modern technology solutions Engage with business and IT groups to align solution architecture with strategic business direction Build a trusted advisor relationship with business and technology leaders Stay periodically engaged throughout the entire project lifecycle to ensure ongoing alignment to established solution vision Bachelors or master’s degree in engineering (computer, electronics, etc.) 20+ years of Solutions Architecture experience (or equivalent enterprise architecture experience) and in customer-facing roles Vertical domain knowledge in Financial Services will be an advantage Excellent written and verbal communication skills Experience in client-driven large-scale application platform implementation projects Experience and desire to work in a global delivery environment Ability to travel up to 40% Familiarity with architecture modelling tools. TOGAF experience / certification desired but not necessary Proven track record of designing / developing scalable solutions at the enterprise level Demonstrated success in quickly understanding business needs and aligning it to technology solutions Experience delivering solutions using an Agile / Scrum methodology Strong communications skills (e.g. active listening, requirements elicitation, oral, written, presentation, workshop facilitation, consensus building) The Clients offices as based in Holborn – Central London. The salary for this position will be based on expertise and will be in the range £90K - £120K. Please do send your CV to us in Word format along with you salary and availability.

Required: RHEL Openshift SME Location: Fully Remote IR35 Status: Inside Duration: end of Oct initially 3 days per week Looking for an SME with RH and Openshift, and CP4D skills to join the build team on DWP asap until the end of October approx 50% allocation. Needs UK GOVT SC1 clearance,. Tasks - BUILD a CP4d environment Install of Cloud Pak for data on Openhift Cluster Install of Watson X Discovery on CPD Install of WatsonX Orchestrate on CPD Install of Databases on CPD Activities: The Cloud Pak for Data install consists of Installation of CPD on one OpenShift Clusters on Oracle Cloud. In one of the Clusters, we are setting up a name spaces for Dev/Test. · Kick-off to set expectations for the engagement. This will help provide guidelines to the Client in terms of expected timeline and effort · Work with Client to understand Security requirements, User access, Identity and Access Management etc. · Validate that the OpenShift Clusters on Oracle Cloud are provisioned to required capacity levels · Remote Assessment to review prerequisites necessary to deploy the Solution in preparation for the installation · Checkpoint to assess Client readiness to start installation · Installation and validation of one instance of watsonx.ai components: Watson Studio, WatsonX assistance, WatsonX Discovery, Watson Machine Learning and watsonx.ai · Installation of WatsonX.Assistant, WatsonX.Discovery and WatsonX.AI in the environments LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Senior Solutions Architect Our Client is an international consultancy with over 3000 employees. They are now looking to recruit a Senior Solutions Architect to be based at the Company's Central London Offices. You will extensive and deep Expertise in following Application Development areas: " Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. " Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka " Solution architect with broad expertise in wide range of digital technologies in areas of application platform development, web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like TDD, BDD, Performance/Load testing etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web /mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. " Exposure to polyglot programming languages like Scala, Python and Golang will be a plus " Ability to read/write code and expertise with various design patterns " Have used NoSQL database such as MongoDB, Cassandra, etc. " Work on opportunities along with sales, practice, delivery teams through the pre-sales process " Develop customer proposals - solution architecture, pitch decks, estimating solution effort, resourcing and timelines " Translate requirements into solution architecture diagrams, implementation roadmap, delivery approach and other artifacts " Understand business & technology issues /challenges and translate that to modern technology solutions " Engage with business and IT groups to align solution architecture with strategic business direction " Build a trusted advisor relationship with business and technology leaders Stay periodically engaged throughout the entire project lifecycle to ensure ongoing alignment to established solution vision " Bachelors or master's degree in engineering (computer, electronics, etc.) " 20+ years of Solutions Architecture experience (or equivalent enterprise architecture experience) and in customer-facing roles " Vertical domain knowledge in Financial Services will be an advantage " Excellent written and verbal communication skills " Experience in client-driven large-scale application platform implementation projects " Experience and desire to work in a global delivery environment Ability to travel up to 40% " Familiarity with architecture modeling tools. TOGAF experience / certification desired but not necessary " Proven track record of designing / developing scalable solutions at the enterprise level " Demonstrated success in quickly understanding business needs and aligning it to technology solutions " Experience delivering solutions using an Agile / Scrum methodology Strong communications skills (e.g. active listening, requirements elicitation, oral, written, presentation, workshop facilitation, consensus building) The Clients offices as based in Holborn - Central London. The salary for this position will be based on expertise and will be in the range £70K - £100K. Please do send your CV to us in Word format along with you salary and availability.

Senior Solutions Architect with Pre Sales Experience Our Client is an international consultancy with over 3000 employees. They are now looking to recruit a Senior Solutions Architect with some Pre-Sales experience to be based at the Company’s Central London Offices. You will extensive and deep Expertise in following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka Solution architect with broad expertise in wide range of digital technologies in areas of application platform development, web and mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure Understanding of distributed computing paradigm and exposure to building highly scalable systems. Experience with platform modernization and cloud migration projects Expertise in Agile development methodologies like TDD, BDD, Performance/Load testing etc. DevOps experience – CI/CD, Test Automation, Containerization – tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web /mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus Ability to read/write code and expertise with various design patterns Have used NoSQL database such as MongoDB, Cassandra, etc. Work on opportunities along with sales, practice, delivery teams through the pre-sales process Develop customer proposals – solution architecture, pitch decks, estimating solution effort, resourcing and timelines Translate requirements into solution architecture diagrams, implementation roadmap, delivery approach and other artifacts Understand business & technology issues /challenges and translate that to modern technology solutions Engage with business and IT groups to align solution architecture with strategic business direction Build a trusted advisor relationship with business and technology leaders Stay periodically engaged throughout the entire project lifecycle to ensure ongoing alignment to established solution vision Bachelors or master’s degree in engineering (computer, electronics, etc.) 20+ years of Solutions Architecture experience (or equivalent enterprise architecture experience) and in customer-facing roles Vertical domain knowledge in Financial Services will be an advantage Excellent written and verbal communication skills Experience in client-driven large-scale application platform implementation projects Experience and desire to work in a global delivery environment Ability to travel up to 40% Familiarity with architecture modeling tools. TOGAF experience / certification desired but not necessary Proven track record of designing / developing scalable solutions at the enterprise level Demonstrated success in quickly understanding business needs and aligning it to technology solutions Experience delivering solutions using an Agile / Scrum methodology Strong communications skills (e.g. active listening, requirements elicitation, oral, written, presentation, workshop facilitation, consensus building) The Clients offices as based in Holborn – Central London. The salary for this position will be based on expertise and will be in the range £90K - £120K. Please do send your CV to us in Word format along with you salary and availability.

Lead Cyber Security Operations Analyst Location: Manchester (Hybrid/Office-based) Contract: Permanent Salary: £60,000 - £67,000 + 10% car allowance (paid monthly) + up to 20% performance bonus About the Role We're working with a leading energy organisation in Manchester that operates the UK's largest smart meter network. Regulated by OFGEM and backed by government and private shareholders, this is a fast-paced, dynamic, and sometimes chaotic environment where priorities can shift quickly. It's an exciting place to work for someone looking to make a real impact and grow their career internally over time. As a Lead Cyber Security Operations Analyst , you'll join the Security Operations Centre and play a critical role in leading security investigations, developing detection content, and advancing operational security capabilities across the business. You'll collaborate with Risk, Technology, and Operations teams, provide subject matter expertise, and help shape the SOC's strategy and processes. Key Responsibilities Act as the technical escalation point for the SOC, leading security incidents and advising on containment, mitigation, and system hardening. Provide operational oversight for day-to-day SOC activities, ensuring incidents are escalated appropriately and recurring issues are addressed. Support team development through mentoring junior analysts, delivering technical training, and facilitating tabletop exercises. Lead use case development, approve tasks, and develop new detection content including machine learning analytics and security automation. Maintain and update SOC documentation, processes, procedures, and operational metrics/dashboard reporting.