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Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Ways of Working: We value autonomy - you'll be trusted to manage your own projects, drive modelling initiatives, and take ideas from concept to production You'll be encouraged to propose new approaches and explore creative ways to detect and prevent fraud We debate and critique our ideas in a healthy, supportive team You'll have the chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and AML patterns

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.

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 You are a machine learning expert with experience building real-world systems under technical, operational, and security constraints. You're skilled in building NLP workflows and are comfortable experimenting with LLMs in bespoke settings. Your solutions must be robust, auditable, and interoperable within complex human systems. This role focuses on delivering fit-for-purpose ML solutions for experimental AI applications in Defence. You'll be working on tasks such as transcription analysis, topic discovery, graph-based reasoning, and language model alignment. These solutions must function at the edge, in secure and air-gapped environments. You'll work closely with a cross-functional team of backend engineers, frontend engineers, platform engineers and external stakeholders. What You'll Do * Design and implement NLP pipelines for multi-speaker audio transcription, topic extraction, summarisation, and insight generation * Develop modular LLM workflows (e.g., RAG, graph-based reasoning) tailored for resource-constrained deployments * Build and test solutions that incorporate structured and unstructured data, such as event transcripts, policy documents, and supply chain graphs * Work with infrastructure teams to containerise and optimise ML models for edge inference * Help define robust evaluation protocols using both quantitative metrics and human feedback * Collaborate on secure deployment approaches that respect classification boundaries and deployment restrictions * Provide technical insights during experimental exercises, including on-site troubleshooting and performance tuning * Support the delivery team in aligning AI outputs with the qualitative and analytical needs of decision-making activities What You Bring * Practical experience training and deploying NLP models, including LLMs, summarisation, entity extraction, and topic modelling * Strong Python skills with proficiency in ML tooling (e.g., HuggingFace Transformers, spaCy, PyTorch/TensorFlow, RAG frameworks) * Experience working with knowledge graphs, graph neural networks, or graphenabled retrieval workflows * Demonstrated ability to build ML solutions that can function in edge, lowcompute, or air-gapped environments * Familiarity with evaluation methodologies that include human-in-the-loop and subject matter expert review * Bonus: Experience working in Defence, aerospace, or other secure environments Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 10 weeks. 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.

Data Scientist and Python Software Developer - London We're looking to recruit a Data Scientist and Python Software Developer with data science skills to join a product team that is focused on building well engineered products. The products provide an intuitive way for retailers and suppliers to interact and consume 'big data' analytics to make better business decisions. This role would consist of working together with a team of statistical analysts, understanding their methodologies and algorithms, and turning them into production ready code written in Python. This role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with REST API's Any of the following skills would be an added bonus: Has run code across Hadoop/MapReduce clusters Has code running in a production environment Used SAS before (or at least can decipher SAS code) Worked with very large data sets before (billions of records) Knowledge of SQL/NoSQL database Knowledge or experience in D3.js Experience acting as a mentor/trainer in Python This is 6 month assignment in London with travel to Paris and Munich. Please send your CV to us in Word format along with daily rate and availability.

Senior Data Scientist PhD – Canary Wharf We urgently require a Senior Data Scientist with at least 5 to 10 years proven track record as Data Scientist. Must have a PhD ideally in Maths or Physics and an excellent understanding of data analytics. The Client would also like to see experience of managing and leading a team of Data Scientists. Should have experience of SCALA/SPARK and Hadoop. Initially this is a 3 month contract assignment in Canary Wharf – with likelihood that it will go on beyond that point. Location is Canary Wharf London. Please send your CV to us in Word format along with daily rate.

Big Data Scientist – Docklands London Our Client an international organisation is looking to recruit a Big Data Expert with 2 to 5 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 in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability details.

Data Scientist Overview: Design and build cutting-edge generative AI solutions for complex tax and legal challenges. Collaborate closely with data scientists, software engineers, and market specialists to build and deliver high-impact solution. Responsibilities Build and deploy Python based AI applications Research and design advanced experiments and prototypes using cutting edge techniques, specifically in GenAI Develop various LLM assisted frameworks Design & write clean, maintainable, auditable and well documented codebases Implement testing pipelines and evaluation frameworks Good documentation practices to ensure seamless operations Exceptional teamwork and communication skills working in a cross functional environment with other data scientists, software engineers and T&L domain experts Your professional experience Essential: Expert Python programmer proficient in frameworks/libraries such as: Numpy, Pandas, Scikit-Learn, Langchain, Llamaindex, Azure AI Foundry amongst others. Practical experience and deep expertise with GenAI techniques such as Finetuning, Prompt engineering, prompt orchestration, retrieval methods (RAG and Knowledge graph techniques), Agentic Systems etc. Knowledge of Agentic frameworks such as LangGraph, Azure AI Foundry Agents, Semantic Kernel Agents etc. Knowledge of prompt orchestration and optimisation techniques such as Azure Semantic Kernel, Prompt flow etc. Skilled at working with AI engineers to write production ready python code and implementing robust quality control methods in solutions Working knowledge of basic software engineering concepts and best practices for team-based programming, including versioning, testing, and deployment Desirable: Adept at creating highly efficient/optimised workflows/solutions Advanced/deep knowledge of various Microsoft Azure AI services Strong data analytics and visualisation skills specifically using tools like Excel and Alteryx Knowledge of Responsible AI practices Please send latest CV 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.

AI Engineer Overview: Design, build, and deploy scalable and production-ready AI systems and frameworks, focusing on generative AI solutions. Collaborate closely with data scientists, software engineers, and product specialists to deliver high-impact results. Responsibilities * Design and develop reusable, production-ready Python components for AI applications. * Translate experimental and proof-of-concept Python code into robust, production-ready applications for seamless integration with engineering and product teams. * Write high-quality, well-documented, and testable Python code, ensuring rigorous quality control before handover. * Maintain comprehensive documentation to support seamless team operations. * Collaborate effectively within a cross-functional team (data scientists, software engineers, Tax & Legal domain experts). Your professional experience Essential: * Expert-level Python programming skills; strong advocate for PEP8 compliance, clean code, unit testing, and version control (Git, Unix, pytest). * Proven experience integrating Python applications with cloud services, particularly Microsoft Azure. * Deep expertise in deploying and scaling generative AI solutions within Azure, including proficiency with databases, Prompt Flow, virtual machines, and Azure Foundry. * Working knowledge of C#, .NET, Docker, and Kubernetes. * Ability to research, evaluate, and implement cutting-edge AI frameworks (e.g., MCP). Desirable: * Experience with end-to-end deployment of GenAI orchestration and associated services. * Experience creating, monitoring, and troubleshooting APIs. * Knowledge of traceability, auditability, and observability best practices. * Knowledge of Responsible AI practices Please send your latest CV 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.

Introduction At RSA, we believe insurance is about people, not things. We provide our inspiring colleagues the support and opportunity to grow together, shape the future, and win as a team. We are going through a transformation journey, providing our people with opportunity to be integral to improving our service and delivering better products to brokers and customers. We are a proud member of the Intact family, we feel part of something bigger, with a presence in North America, the UK and Europe. We have a bold ambition to become the best Commercial Lines business in the UK, demonstrated by our recent acquisition of NIG and Farmweb, allowing us to scale by leveraging our combined financial strength and importantly ensure our people feel the benefits of our joint capabilities. We are currently recruiting for a Head of AI Labs to join our established and experienced CDO team at RSA on a hybrid basis Your Role As Head of AI Labs, you will be part of the leadership team within the Chief Data Office and responsible for overseeing Artificial Intelligence initiatives. This will include responsible AI frameworks and processes, AI governance, enhancing our AI capabilities, enabling AI driven decision making, and fostering a culture of innovation within the organisation. You will develop and execute a comprehensive AI strategy aligned with the CDO, the organisations business objectives and the CIO operating model. You will be identifying and pursuing innovative projects that leverage data and AI to drive business value. Your role will drive experimentation through prototypes and proof of concepts by providing sandbox environments, tooling advisory, and accelerators for AI solutions. You will drive RSA to be the leading edge through researching and implementing the latest trends and advancements in data science and AI, whilst integrating relevant technologies into the lab's projects. As part of your role, you will design, support the development of, and oversee the deployment of ML models. You will define and manage AI frameworks for the organisation, ensuring all data and AI practices comply with relevant regulations, ethical standards, and internal policies, this includes enabling teams by establishing and managing central AI governance. Your role will establish an AI CoE to bring together Data, technology, risk, and business functions to achieve the groups AI ambitions and goals, partnering with our parent company to accelerate our journey. You will build, mentor and lead a high-performing team of data scientists and ML engineers, whilst providing senior leaders appropriate recommendations and reporting on AI initiatives and usage at RSA.