Gregory Martin International
Winchester, Hampshire
Senior Analyst & Analyst- Operational Analysis, Python, Modelling, Software Design Salary - £35K-£70K plus excellent benefits Location - Winchester Hants, Hybrid role Our client has an exciting opportunity to join our growing management consultancy, with an enviable reputation and senior level client base. They have a strong track record in UK MOD and government. You will have strong data analysis skills, Advanced Excel , including VBA They value their people and believe in building everyone's capabilities and strengths to help them reach their full potential. The Opportunity - Operational Analyst/Consultant Our client is looking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering operational analysis capability as an integral part of a small, agile, and growing business. Their team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of the Company's capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst. As Senior Operational Analyst your role will include: Designing, developing, and running analysis models. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing and visualising data. Deriving unique insights from data to inform senior-level decision making. Taking a leading role in the day-to-day delivery of projects, working closely with our clients and our team of consultants and analysts. Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for our clients. Developing strong relationships with the wider Company's team. Our UK office is based just outside Winchester. The role will require a blend of working from our office, occasional travel to client sites, and working from home. The Company's main clients will be based around key UK Defence establishments in the south of England. Skills/Qualifications - Senior Operational Analyst/Consultant: Software development using Python. Operational Analysis (OA) approaches and techniques Strong mathematical skills Requirements gathering Software design Strong data analysis skills Highly numerate A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills, with the ability to multi-task and prioritise your work. Attention to detail and the drive to see work through to completion. A positive and flexible approach to your work. Degree , MSc or equivalent Knowledge and experience of the following is desirable: Experience working within UK MoD UI/UX design Discrete event simulation Data science techniques Advanced data analysis in Excel, including VBA. Knowledge of current software development approaches, platforms and best practice. Experience of designing and deploying Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Recent UK Defence Security Clearance (SC) would be of interest but is not essential. Senior Analyst and Analyst - Operational Analysis, Data Science, Data Scientist , Python, Modelling, Software Design
05/12/2025
Full time
Senior Analyst & Analyst- Operational Analysis, Python, Modelling, Software Design Salary - £35K-£70K plus excellent benefits Location - Winchester Hants, Hybrid role Our client has an exciting opportunity to join our growing management consultancy, with an enviable reputation and senior level client base. They have a strong track record in UK MOD and government. You will have strong data analysis skills, Advanced Excel , including VBA They value their people and believe in building everyone's capabilities and strengths to help them reach their full potential. The Opportunity - Operational Analyst/Consultant Our client is looking for a positive, flexible self-starter to join their team as a Senior Analyst. This is an exciting opportunity to play a leading role in delivering operational analysis capability as an integral part of a small, agile, and growing business. Their team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of the Company's capability. They are growing this capability and are looking for a highly motivated and capable Senior Analyst. As Senior Operational Analyst your role will include: Designing, developing, and running analysis models. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing and visualising data. Deriving unique insights from data to inform senior-level decision making. Taking a leading role in the day-to-day delivery of projects, working closely with our clients and our team of consultants and analysts. Taking a consultative approach to your work, understanding how your work contributes to delivering a great result for our clients. Developing strong relationships with the wider Company's team. Our UK office is based just outside Winchester. The role will require a blend of working from our office, occasional travel to client sites, and working from home. The Company's main clients will be based around key UK Defence establishments in the south of England. Skills/Qualifications - Senior Operational Analyst/Consultant: Software development using Python. Operational Analysis (OA) approaches and techniques Strong mathematical skills Requirements gathering Software design Strong data analysis skills Highly numerate A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills, with the ability to multi-task and prioritise your work. Attention to detail and the drive to see work through to completion. A positive and flexible approach to your work. Degree , MSc or equivalent Knowledge and experience of the following is desirable: Experience working within UK MoD UI/UX design Discrete event simulation Data science techniques Advanced data analysis in Excel, including VBA. Knowledge of current software development approaches, platforms and best practice. Experience of designing and deploying Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Recent UK Defence Security Clearance (SC) would be of interest but is not essential. Senior Analyst and Analyst - Operational Analysis, Data Science, Data Scientist , Python, Modelling, Software Design
Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.
05/12/2025
Full time
Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.
Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git). Knowledge of spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. 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 hays.co.uk
05/12/2025
Full time
Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git). Knowledge of spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. 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 hays.co.uk
Head of Data - Data Architecture, Data Strategy/Governance, Data Science/Analysis/Engineering; frameworks, data operating model (TOM), compliance, risk, automation; management information (MI) reporting, PowerBI, SQL, ADF, Azure Data Warehousing / Data Lakes. Permanent, London / Hybrid (3/2) c.£150k (Negotiable) +Bonus +Benefits Global organisation seeks Head of Data to lead strategy around data architecture, data governance, platform enhancement and MI reporting development across all systems which support business decisions and improve operations. Working in a senior level capacity, initially within an individual contributors role (initially) the Head of Data will undertake a number of strategic and tactical duties including: Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI / NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support / develop the ongoing data architecture roadmap in relation to business operations Enhance the Management Information Reporting Dashboard / DV landscape defining standards and improving output in a variety of products, albeit with a strong focus on PowerBI / Power Automate and the broader Microsoft stack Lead governance processes for data access and stewardship (inc regulatory compliance aspects) and build out the function collaborating with IT security teams / CISO where appropriate Build out and lead a multi-disciplinary team of data focussed personnel We seek a senior level Data Manager with significant experience engaging with C-Level execs who possess a range of hands-on, tactical and strategic skills and experience including: Extensive experience in developing data strategy, governance, architecture and data integration Enhancement of data orchestration across all relevant systems (Sharepoint/MSFT Stack, CRM, Finance, HRIS, various industry specific Commercial/Business Systems - relevant to your background) in order to meet the needs of the strategic data roadmap Experience of identifying and selecting appropriate reporting platforms and tools and background in hands-on development of platforms/dashboards inc SQL, ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data - Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI / NLP / ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at the most senior level of a global organisation We are open to receiving applications from across a broad range of industries including Professional Services, Legal Services, Financial Services or Consultancy inc Deloitte, PwC, KMPG, Accenture, EY, McKinsey & Company etc albeit with significant experience gained inhouse developing, implementing and delivering a data strategy over a number of years. You may have been working as a Head of Data, Lead Data Scientist, Chief Data Officer, Data Engineering Manager or Lead (Senior) Data Analyst but we are open to discussion based on experience. You will possess exceptional communication skills and have the commercial acumen to be able to influence at the most senior level of this global organisation utilising experience working in similar inhouse / clientside environments (experience previously in consulting would be valuable in addition to this inhouse experience). Excellent opportunity to develop data strategy combining advanced analytics with business intelligence, and lead the enhancement of enterprise-wide data solutions across a global organisation.
05/12/2025
Full time
Head of Data - Data Architecture, Data Strategy/Governance, Data Science/Analysis/Engineering; frameworks, data operating model (TOM), compliance, risk, automation; management information (MI) reporting, PowerBI, SQL, ADF, Azure Data Warehousing / Data Lakes. Permanent, London / Hybrid (3/2) c.£150k (Negotiable) +Bonus +Benefits Global organisation seeks Head of Data to lead strategy around data architecture, data governance, platform enhancement and MI reporting development across all systems which support business decisions and improve operations. Working in a senior level capacity, initially within an individual contributors role (initially) the Head of Data will undertake a number of strategic and tactical duties including: Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI / NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support / develop the ongoing data architecture roadmap in relation to business operations Enhance the Management Information Reporting Dashboard / DV landscape defining standards and improving output in a variety of products, albeit with a strong focus on PowerBI / Power Automate and the broader Microsoft stack Lead governance processes for data access and stewardship (inc regulatory compliance aspects) and build out the function collaborating with IT security teams / CISO where appropriate Build out and lead a multi-disciplinary team of data focussed personnel We seek a senior level Data Manager with significant experience engaging with C-Level execs who possess a range of hands-on, tactical and strategic skills and experience including: Extensive experience in developing data strategy, governance, architecture and data integration Enhancement of data orchestration across all relevant systems (Sharepoint/MSFT Stack, CRM, Finance, HRIS, various industry specific Commercial/Business Systems - relevant to your background) in order to meet the needs of the strategic data roadmap Experience of identifying and selecting appropriate reporting platforms and tools and background in hands-on development of platforms/dashboards inc SQL, ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data - Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI / NLP / ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at the most senior level of a global organisation We are open to receiving applications from across a broad range of industries including Professional Services, Legal Services, Financial Services or Consultancy inc Deloitte, PwC, KMPG, Accenture, EY, McKinsey & Company etc albeit with significant experience gained inhouse developing, implementing and delivering a data strategy over a number of years. You may have been working as a Head of Data, Lead Data Scientist, Chief Data Officer, Data Engineering Manager or Lead (Senior) Data Analyst but we are open to discussion based on experience. You will possess exceptional communication skills and have the commercial acumen to be able to influence at the most senior level of this global organisation utilising experience working in similar inhouse / clientside environments (experience previously in consulting would be valuable in addition to this inhouse experience). Excellent opportunity to develop data strategy combining advanced analytics with business intelligence, and lead the enhancement of enterprise-wide data solutions across a global organisation.
We're partnering with a well-established, boutique medical product development company that specialises in working on life saving medical equipment. Their technology interfaces with precision hardware used in state of the art medical equipment including cancer treatment and radiation therapy - making a real difference in the field of oncology. What You'll Be Doing: As the head of firmware , you'll take technical ownership of the embedded software platform, working with cross discipline engineers, teams and product designers to bring innovative imaging solutions to life. You'll have responsibility for the firmware development in the company and report directly to the Managing Director. This is a unique opportunity to play a strategic role as part of the senior leadership team whilst remaining hands on with the software. The company are well established but small so the majority of the leadership responsibilities are overseeing the high level software decisions more than dealing with personal management. Despite this you will need to be comfortable as the technical authority and be overseeing two developers (one of which senior). there is potential that overtime this position could transition into a CTO position. This is a hands-on technical leadership role where your input will shape the direction of new and existing product development. Tech Environment: Microprocessors: ARM, NXP OS: FreeRTOS Language: C++, C Interfaces & Protocols: HDMI, MIPI, USB, DisplayPort Other: High-speed data transfer, real-time video/image processing (there is scope to work with machine vision but this is not essential) Experience in regulated industries (e.g., medical, automotive, aerospace) is beneficial, but medical experience is not required. About You: Strong Embedded and C++ experience in an embedded environment Proven experience with FreeRTOS or similar RTOS platforms Comfortable working close to hardware (bare metal and RTOS) Familiarity with multimedia interfaces (HDMI, USB, DisplayPort) and high-speed data Previous team leadership experience or mentoring responsibilities You thrive in a collaborative, innovative and mission-driven environment ? What's on Offer: Be part of a business whose products are used in real-world clinical settings around the globe Autonomy, ownership, and a clear progression path to expand your team and impact Work alongside a passionate, cross-functional team of engineers and scientists Modern on-site facilities at the Maidstone Innovation Centre Competitive salary of £100,000+, depending on experience If you're ready to lead meaningful projects at the intersection of embedded systems and life-changing medical technology, we'd love to hear from you. To apply, please send your up-to-date CV today.
05/12/2025
Contractor
We're partnering with a well-established, boutique medical product development company that specialises in working on life saving medical equipment. Their technology interfaces with precision hardware used in state of the art medical equipment including cancer treatment and radiation therapy - making a real difference in the field of oncology. What You'll Be Doing: As the head of firmware , you'll take technical ownership of the embedded software platform, working with cross discipline engineers, teams and product designers to bring innovative imaging solutions to life. You'll have responsibility for the firmware development in the company and report directly to the Managing Director. This is a unique opportunity to play a strategic role as part of the senior leadership team whilst remaining hands on with the software. The company are well established but small so the majority of the leadership responsibilities are overseeing the high level software decisions more than dealing with personal management. Despite this you will need to be comfortable as the technical authority and be overseeing two developers (one of which senior). there is potential that overtime this position could transition into a CTO position. This is a hands-on technical leadership role where your input will shape the direction of new and existing product development. Tech Environment: Microprocessors: ARM, NXP OS: FreeRTOS Language: C++, C Interfaces & Protocols: HDMI, MIPI, USB, DisplayPort Other: High-speed data transfer, real-time video/image processing (there is scope to work with machine vision but this is not essential) Experience in regulated industries (e.g., medical, automotive, aerospace) is beneficial, but medical experience is not required. About You: Strong Embedded and C++ experience in an embedded environment Proven experience with FreeRTOS or similar RTOS platforms Comfortable working close to hardware (bare metal and RTOS) Familiarity with multimedia interfaces (HDMI, USB, DisplayPort) and high-speed data Previous team leadership experience or mentoring responsibilities You thrive in a collaborative, innovative and mission-driven environment ? What's on Offer: Be part of a business whose products are used in real-world clinical settings around the globe Autonomy, ownership, and a clear progression path to expand your team and impact Work alongside a passionate, cross-functional team of engineers and scientists Modern on-site facilities at the Maidstone Innovation Centre Competitive salary of £100,000+, depending on experience If you're ready to lead meaningful projects at the intersection of embedded systems and life-changing medical technology, we'd love to hear from you. To apply, please send your up-to-date CV today.
Your New Opportunity: A leading independent research organisation is seeking an Information Security Manager to join its cross-functional IT team. This is a unique chance to shape the security landscape of an organisation whose work supports scientific discovery and environmental insight across the UK and beyond. Your Role: In this hands-on leadership position, you'll report to the Head of IT and take ownership of both strategic governance and technical delivery. You'll lead a small, dedicated team, including mentoring an Information Security Analyst currently undertaking day-release studies. Your ability to coach, guide, and inspire will be key to embedding a culture of security across the organisation.You'll collaborate with scientists, technologists, and operational teams to ensure security is not just a technical requirement, but a shared responsibility. Your structured approach to incident response and clear communication will strengthen resilience and build trust across departments. Key Responsibilities: Lead the organisation's Information Security programme, ensuring it is responsive, innovative, and cost-effective Manage a small team and oversee the security budget Develop and maintain security policies, standards, and procedures Conduct risk assessments, manage incidents, and report findings Promote security awareness across technical and non-technical teams Recommend and implement technological improvements Communicate security goals and initiatives effectively across the organisation What You'll Bring: Proven experience in a senior security, governance, or assurance role A professional qualification (e.g., CISSP, CISM) or relevant degree Strong knowledge of frameworks such as Cyber Essentials, GDPR, ISO27001, and NIST Technical expertise in Cloud, Data Analytics, Microsoft/AWS/Azure environments Experience managing change projects and influencing cross-functional teams Excellent communication and stakeholder engagement skills Why This Role: This is an ideal opportunity for someone who sees information security as a business enabler - someone who can influence behaviour, manage resistance, and advocate for controls that align with operational needs, especially in complex environments like research and academia.You'll be joining an organisation that values excellence, integrity, and collaboration, and whose work makes a real-world impact on people and the planet. 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 hays.co.uk
05/12/2025
Full time
Your New Opportunity: A leading independent research organisation is seeking an Information Security Manager to join its cross-functional IT team. This is a unique chance to shape the security landscape of an organisation whose work supports scientific discovery and environmental insight across the UK and beyond. Your Role: In this hands-on leadership position, you'll report to the Head of IT and take ownership of both strategic governance and technical delivery. You'll lead a small, dedicated team, including mentoring an Information Security Analyst currently undertaking day-release studies. Your ability to coach, guide, and inspire will be key to embedding a culture of security across the organisation.You'll collaborate with scientists, technologists, and operational teams to ensure security is not just a technical requirement, but a shared responsibility. Your structured approach to incident response and clear communication will strengthen resilience and build trust across departments. Key Responsibilities: Lead the organisation's Information Security programme, ensuring it is responsive, innovative, and cost-effective Manage a small team and oversee the security budget Develop and maintain security policies, standards, and procedures Conduct risk assessments, manage incidents, and report findings Promote security awareness across technical and non-technical teams Recommend and implement technological improvements Communicate security goals and initiatives effectively across the organisation What You'll Bring: Proven experience in a senior security, governance, or assurance role A professional qualification (e.g., CISSP, CISM) or relevant degree Strong knowledge of frameworks such as Cyber Essentials, GDPR, ISO27001, and NIST Technical expertise in Cloud, Data Analytics, Microsoft/AWS/Azure environments Experience managing change projects and influencing cross-functional teams Excellent communication and stakeholder engagement skills Why This Role: This is an ideal opportunity for someone who sees information security as a business enabler - someone who can influence behaviour, manage resistance, and advocate for controls that align with operational needs, especially in complex environments like research and academia.You'll be joining an organisation that values excellence, integrity, and collaboration, and whose work makes a real-world impact on people and the planet. 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 hays.co.uk
Senior Java Developer - Leeds City Centre (Hybrid) Up to £60,000 4 Days in Office, Friday WFH AI & Machine Learning I'm recruiting for a forward-thinking tech company based in Leeds City Centre that's transforming how retailers harness AI and machine learning to boost profitability and stay competitive in a rapidly evolving market. They're looking for an experienced Senior Java Developer to join their talented team of 7 engineers, reporting directly to the Engineering Manager. You'll play a pivotal role in developing intelligent, data-driven software used by major retail clients across the UK, Europe, North America, and Australia. The Opportunity This is a hands-on senior role - ideal for someone who thrives on technical challenges, loves solving complex problems, and wants to build systems that make a tangible business impact. You'll be working closely with data scientists and product specialists to deliver scalable, high-performance software solutions that integrate the latest AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring / Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS / Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile, collaborative environment with code reviews and shared ownership What You'll Be Doing Designing and developing enterprise-grade Java applications using Spring and Hibernate Collaborating with data scientists to embed AI/ML insights into real-world systems Building scalable, high-availability solutions for global retail clients Driving code quality, performance, and architecture best practices Mentoring junior engineers and contributing to continuous improvement What We're Looking For 8+ years' experience in Java software development Proven background delivering complex, scalable backend systems Deep understanding of Spring Boot and Hibernate Familiarity with cloud-based environments (AWS or Azure) Strong communicator and team player Able to work 4 days on-site in Leeds City Centre, with Friday working from home What's on Offer Up to £60,000 Hybrid working - 4 days in the office, Friday from home Global exposure - clients across the UK, Europe, North America & Australia Work with cutting-edge AI and machine learning technologies Collaborative, supportive team of 7 developers Career growth opportunities with direct access to the Engineering Manager Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
05/12/2025
Full time
Senior Java Developer - Leeds City Centre (Hybrid) Up to £60,000 4 Days in Office, Friday WFH AI & Machine Learning I'm recruiting for a forward-thinking tech company based in Leeds City Centre that's transforming how retailers harness AI and machine learning to boost profitability and stay competitive in a rapidly evolving market. They're looking for an experienced Senior Java Developer to join their talented team of 7 engineers, reporting directly to the Engineering Manager. You'll play a pivotal role in developing intelligent, data-driven software used by major retail clients across the UK, Europe, North America, and Australia. The Opportunity This is a hands-on senior role - ideal for someone who thrives on technical challenges, loves solving complex problems, and wants to build systems that make a tangible business impact. You'll be working closely with data scientists and product specialists to deliver scalable, high-performance software solutions that integrate the latest AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring / Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS / Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile, collaborative environment with code reviews and shared ownership What You'll Be Doing Designing and developing enterprise-grade Java applications using Spring and Hibernate Collaborating with data scientists to embed AI/ML insights into real-world systems Building scalable, high-availability solutions for global retail clients Driving code quality, performance, and architecture best practices Mentoring junior engineers and contributing to continuous improvement What We're Looking For 8+ years' experience in Java software development Proven background delivering complex, scalable backend systems Deep understanding of Spring Boot and Hibernate Familiarity with cloud-based environments (AWS or Azure) Strong communicator and team player Able to work 4 days on-site in Leeds City Centre, with Friday working from home What's on Offer Up to £60,000 Hybrid working - 4 days in the office, Friday from home Global exposure - clients across the UK, Europe, North America & Australia Work with cutting-edge AI and machine learning technologies Collaborative, supportive team of 7 developers Career growth opportunities with direct access to the Engineering Manager Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and their worldwide client base has never been stronger, with significant growth in the last 12 months. They are looking for a Data Scientist to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making. We are seeking a Data Scientist with experience of Python and Jupyter notebooks with the capability to source data and communicate and liaise with data providers. You will need an understanding of data licensing and its implications, full ETL pipeline experience and full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving and analytical skills and strong written and verbal communication skills are expected. We are keen to hear from talented Data Scientist candidates from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development; top performers are guaranteed a career path into senior and lead positions within 12 months. Location: London / Remote Salary: £35k - £45k + Bonus + Pension + Excellent Benefits To apply for this position please send your CV to Nathan Warner at Noir Consulting. (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) NOIRUKTECHREC NOIRUKREC
04/12/2025
Full time
Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and their worldwide client base has never been stronger, with significant growth in the last 12 months. They are looking for a Data Scientist to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making. We are seeking a Data Scientist with experience of Python and Jupyter notebooks with the capability to source data and communicate and liaise with data providers. You will need an understanding of data licensing and its implications, full ETL pipeline experience and full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving and analytical skills and strong written and verbal communication skills are expected. We are keen to hear from talented Data Scientist candidates from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development; top performers are guaranteed a career path into senior and lead positions within 12 months. Location: London / Remote Salary: £35k - £45k + Bonus + Pension + Excellent Benefits To apply for this position please send your CV to Nathan Warner at Noir Consulting. (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) NOIRUKTECHREC NOIRUKREC
About the Organisation Our client is a specialist insurer and reinsurer operating globally, with a focus on complex commercial and industrial risks. The business combines deep sector expertise with advanced use of data, analytics, and modern technology to deliver informed, efficient, and fair underwriting decisions.The company is in a period of significant growth and is committed to maintaining a collaborative, inclusive, and high-performing culture. Employees are encouraged to ask questions, explore new ideas, work openly with others, and operate with clarity and simplicity. The environment is dynamic, supportive, and designed to enable long-term career progression. Role Summary Our client is seeking an experienced Technical Architect with strong expertise in integration architecture, systems design best practice, and API design. The role will take technical ownership of the organisation's enterprise technology landscape.This is a pivotal position within the company's scaling and modernisation programme. The successful candidate will act as the bridge between internally developed underwriting platforms, the data lakehouse and analytics estate, and a range of commercial off-the-shelf (COTS) applications used across operations, finance, and support functions.You will be responsible for defining standards, blueprints, and governance for how core systems interact, ensuring security, performance, scalability, and data quality across the entire ecosystem. Key Responsibilities Integration Architecture Define the enterprise-wide integration strategy, including the governance of integration patterns (such as synchronous APIs, event-driven architecture, asynchronous messaging, and batch ETL). Lead the design and documentation of internal and external APIs, ensuring best practice in RESTful design, versioning, and OpenAPI standards. Work with Engineering and Data teams to standardise the technical approach for messaging, data extraction, transformation, and load (ETL/ELT) processes across underwriting, finance, accounting, and data warehouse systems. Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies. Collaborate with data scientists, engineers, and developers to integrate and deploy AI models from development through to production. Define security standards for all integration points, including OAuth, API key management, encryption, and network segmentation within an Azure environment. Platform Architecture Provide technical input into new platform selections and project implementations, ensuring alignment with architectural principles. Work closely with Engineering leadership on the design and evolution of the .NET and Angular technology stack, focusing on modularity, microservices, performance, and technical debt management. Collaborate with the Data Architecture function to ensure alignment between the enterprise architecture and the organisation's data platform, including optimisation of the Databricks environment. Establish and govern non-functional requirements (NFRs) covering performance, scalability, resilience, and disaster recovery. Technical Design & Governance Translate business strategy into an executable architecture roadmap. Conduct architectural and code reviews to ensure alignment with agreed standards. Present technical recommendations, solution designs, and trade-off considerations to both technical and non-technical stakeholders. Serve as the final escalation point for complex technical design challenges and technology selections. Mentor engineers across software, infrastructure, and data disciplines in architectural best practice and emerging technologies. Essential Experience & Skills At least 10 years in senior technical roles, including 5+ years as an architect specialising in software development, integration, and technical architecture. Advanced knowledge of API implementation, message queues (e.g., Azure Service Bus, Kafka), and event-driven architecture. Deep expertise in RESTful API design, API gateways (ideally Azure API Management), and the OpenAPI specification. Strong understanding of DevOps practices and hands-on experience with CI/CD tooling such as Azure DevOps or GitLab CI. Extensive knowledge of the Microsoft Azure ecosystem, covering IaaS and PaaS, with particular experience in Azure Databricks, Data Factory, and ADLS Gen2. Excellent communication and presentation skills, with the ability to influence diverse technical teams. Desirable Experience Background in the insurance, reinsurance, or wider financial services industry. Strong architectural understanding of the .NET/C# ecosystem and modern front-end frameworks (ideally Angular). Experience with data architecture concepts including relational, NoSQL, and data lake technologies. Knowledge of cloud-based AI architectures, including LLMs, Generative AI, and Agentic AI. Experience integrating proprietary systems with COTS finance or ERP platforms, particularly within general ledger, financial close, or regulatory reporting domains.
04/12/2025
Full time
About the Organisation Our client is a specialist insurer and reinsurer operating globally, with a focus on complex commercial and industrial risks. The business combines deep sector expertise with advanced use of data, analytics, and modern technology to deliver informed, efficient, and fair underwriting decisions.The company is in a period of significant growth and is committed to maintaining a collaborative, inclusive, and high-performing culture. Employees are encouraged to ask questions, explore new ideas, work openly with others, and operate with clarity and simplicity. The environment is dynamic, supportive, and designed to enable long-term career progression. Role Summary Our client is seeking an experienced Technical Architect with strong expertise in integration architecture, systems design best practice, and API design. The role will take technical ownership of the organisation's enterprise technology landscape.This is a pivotal position within the company's scaling and modernisation programme. The successful candidate will act as the bridge between internally developed underwriting platforms, the data lakehouse and analytics estate, and a range of commercial off-the-shelf (COTS) applications used across operations, finance, and support functions.You will be responsible for defining standards, blueprints, and governance for how core systems interact, ensuring security, performance, scalability, and data quality across the entire ecosystem. Key Responsibilities Integration Architecture Define the enterprise-wide integration strategy, including the governance of integration patterns (such as synchronous APIs, event-driven architecture, asynchronous messaging, and batch ETL). Lead the design and documentation of internal and external APIs, ensuring best practice in RESTful design, versioning, and OpenAPI standards. Work with Engineering and Data teams to standardise the technical approach for messaging, data extraction, transformation, and load (ETL/ELT) processes across underwriting, finance, accounting, and data warehouse systems. Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies. Collaborate with data scientists, engineers, and developers to integrate and deploy AI models from development through to production. Define security standards for all integration points, including OAuth, API key management, encryption, and network segmentation within an Azure environment. Platform Architecture Provide technical input into new platform selections and project implementations, ensuring alignment with architectural principles. Work closely with Engineering leadership on the design and evolution of the .NET and Angular technology stack, focusing on modularity, microservices, performance, and technical debt management. Collaborate with the Data Architecture function to ensure alignment between the enterprise architecture and the organisation's data platform, including optimisation of the Databricks environment. Establish and govern non-functional requirements (NFRs) covering performance, scalability, resilience, and disaster recovery. Technical Design & Governance Translate business strategy into an executable architecture roadmap. Conduct architectural and code reviews to ensure alignment with agreed standards. Present technical recommendations, solution designs, and trade-off considerations to both technical and non-technical stakeholders. Serve as the final escalation point for complex technical design challenges and technology selections. Mentor engineers across software, infrastructure, and data disciplines in architectural best practice and emerging technologies. Essential Experience & Skills At least 10 years in senior technical roles, including 5+ years as an architect specialising in software development, integration, and technical architecture. Advanced knowledge of API implementation, message queues (e.g., Azure Service Bus, Kafka), and event-driven architecture. Deep expertise in RESTful API design, API gateways (ideally Azure API Management), and the OpenAPI specification. Strong understanding of DevOps practices and hands-on experience with CI/CD tooling such as Azure DevOps or GitLab CI. Extensive knowledge of the Microsoft Azure ecosystem, covering IaaS and PaaS, with particular experience in Azure Databricks, Data Factory, and ADLS Gen2. Excellent communication and presentation skills, with the ability to influence diverse technical teams. Desirable Experience Background in the insurance, reinsurance, or wider financial services industry. Strong architectural understanding of the .NET/C# ecosystem and modern front-end frameworks (ideally Angular). Experience with data architecture concepts including relational, NoSQL, and data lake technologies. Knowledge of cloud-based AI architectures, including LLMs, Generative AI, and Agentic AI. Experience integrating proprietary systems with COTS finance or ERP platforms, particularly within general ledger, financial close, or regulatory reporting domains.
Senior Data Engineer - Azure Databricks/ SC Clearance - Contract Active SC Clearance is required for this position Hybrid working - 3 days / week on site required Up to £620 / day - Inside IR35 We are currently recruiting for a well experienced Senior Data Engineer, required for a leading global transformation consultancy, based in London. The Senior Data Engineer will be responsible for providing hands-on, technical expertise within an agile team. The ideal candidate will be well experienced in building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets Key skills and responsibilities: Design, build, and maintain scalable ETL pipelines for ingesting, transforming, and loading data from APIs, databases, and financial data sources into Azure Databricks. Optimize pipelines for performance, reliability, and cost, incorporating data quality checks. Develop complex transformations and processing logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance and quality monitoring. Implement lineage tracking, metadata management, and compliance with governance standards. Partner with data scientists, economists, and technical teams to translate requirements into solutions. Communicate effectively with technical and non-technical audiences. Participate in code reviews and knowledge-sharing sessions. Automate pipeline deployments and implement CI/CD processes in collaboration with DevOps teams. Promote best practices for automation and environment management. Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
04/12/2025
Contractor
Senior Data Engineer - Azure Databricks/ SC Clearance - Contract Active SC Clearance is required for this position Hybrid working - 3 days / week on site required Up to £620 / day - Inside IR35 We are currently recruiting for a well experienced Senior Data Engineer, required for a leading global transformation consultancy, based in London. The Senior Data Engineer will be responsible for providing hands-on, technical expertise within an agile team. The ideal candidate will be well experienced in building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets Key skills and responsibilities: Design, build, and maintain scalable ETL pipelines for ingesting, transforming, and loading data from APIs, databases, and financial data sources into Azure Databricks. Optimize pipelines for performance, reliability, and cost, incorporating data quality checks. Develop complex transformations and processing logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance and quality monitoring. Implement lineage tracking, metadata management, and compliance with governance standards. Partner with data scientists, economists, and technical teams to translate requirements into solutions. Communicate effectively with technical and non-technical audiences. Participate in code reviews and knowledge-sharing sessions. Automate pipeline deployments and implement CI/CD processes in collaboration with DevOps teams. Promote best practices for automation and environment management. Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
Full Stack Developer (Space/Mission-Critical Systems) Oxford - Hybrid 2 days per week in office. £65000 - £95000 Must Have's - Must possess an EU or Five Eyes passport (UK, US, Canada, New Zealand, Australia).- Has worked Full Stack with Java, Python or C++ paired with JS/TS, ideally React.- Must have worked on Mission-Critical Systems within the space sector or adjacent (e.g., defence, aviation, telecommunications, or automotive). Your new company This leading Space Technology provider is seeking 2 experienced Senior Full Stack Developers to join their expanding team. With a proven track record of successful missions and partnerships with major space agencies and commercial operators worldwide, this company is at the cutting edge of innovation.You'll be part of a team that's pioneering technologies for on-orbit servicing with the end goal of making space exploration sustainable long-term. If you want to work for a business that combines purpose with advanced technology, this is the opportunity for you.The role is based from their rural Oxfordshire office, so own-transport will be required to work minimum 2 days per week in the office giving you access to secure projects. Your new role You'll help to develop mission-critical software (often greenfield) for ground systems supporting advanced space missions. You'll take ownership of designing and developing scalable backend services using modern programming languages, while also creating dynamic and responsive user interfaces with contemporary frameworks. You'll architect and optimise databases to ensure performance and reliability, and work with containerised applications using Docker and Kubernetes.The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You'll collaborate with scientists, engineers, and developers to identify promising ideas and guide their technical evolution. You'll participate in cross-functional design, implementation, testing, and deployment of their software toolkits so will have full lifecycle exposure.It's a business still in start-up/scale-up mode having been established less than 5 years ago, so a very exciting time to be joining at this stage of their evolution with significant investment and progression opps within the Development teams. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline.Must have at least five years of full stack development using Java, Python or C++ for Back end Development and JavaScript on the Front End, ideally with the React framework.It is essential you've worked on the development of mission-critical applications within space, defence, aviation, telecoms, or automotive sectors.Additional expertise in container orchestration, CI/CD tools, SQL databases, and Git workflows will set you apart. Familiarity with AWS or Azure is desirable, as is knowledge of security best practices in software development. What you'll get in return You'll work for a technology focused company building innovative products. You'll receive private healthcare, life insurance, and relocation support if needed, plus holiday starting at 25 days rising to 28. You'll work in a state-of-the-art facility with a diverse, international team, parking on site and flexible working hours, including chance to work a compressed week (9 in 10 days). What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. 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 hays.co.uk
04/12/2025
Full time
Full Stack Developer (Space/Mission-Critical Systems) Oxford - Hybrid 2 days per week in office. £65000 - £95000 Must Have's - Must possess an EU or Five Eyes passport (UK, US, Canada, New Zealand, Australia).- Has worked Full Stack with Java, Python or C++ paired with JS/TS, ideally React.- Must have worked on Mission-Critical Systems within the space sector or adjacent (e.g., defence, aviation, telecommunications, or automotive). Your new company This leading Space Technology provider is seeking 2 experienced Senior Full Stack Developers to join their expanding team. With a proven track record of successful missions and partnerships with major space agencies and commercial operators worldwide, this company is at the cutting edge of innovation.You'll be part of a team that's pioneering technologies for on-orbit servicing with the end goal of making space exploration sustainable long-term. If you want to work for a business that combines purpose with advanced technology, this is the opportunity for you.The role is based from their rural Oxfordshire office, so own-transport will be required to work minimum 2 days per week in the office giving you access to secure projects. Your new role You'll help to develop mission-critical software (often greenfield) for ground systems supporting advanced space missions. You'll take ownership of designing and developing scalable backend services using modern programming languages, while also creating dynamic and responsive user interfaces with contemporary frameworks. You'll architect and optimise databases to ensure performance and reliability, and work with containerised applications using Docker and Kubernetes.The company control the systems they build, meaning developers can be intrinsic with the user and understand their journey to build a better product. You'll collaborate with scientists, engineers, and developers to identify promising ideas and guide their technical evolution. You'll participate in cross-functional design, implementation, testing, and deployment of their software toolkits so will have full lifecycle exposure.It's a business still in start-up/scale-up mode having been established less than 5 years ago, so a very exciting time to be joining at this stage of their evolution with significant investment and progression opps within the Development teams. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline.Must have at least five years of full stack development using Java, Python or C++ for Back end Development and JavaScript on the Front End, ideally with the React framework.It is essential you've worked on the development of mission-critical applications within space, defence, aviation, telecoms, or automotive sectors.Additional expertise in container orchestration, CI/CD tools, SQL databases, and Git workflows will set you apart. Familiarity with AWS or Azure is desirable, as is knowledge of security best practices in software development. What you'll get in return You'll work for a technology focused company building innovative products. You'll receive private healthcare, life insurance, and relocation support if needed, plus holiday starting at 25 days rising to 28. You'll work in a state-of-the-art facility with a diverse, international team, parking on site and flexible working hours, including chance to work a compressed week (9 in 10 days). What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. 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 hays.co.uk
Head of AI - Financial Services - London - £150k + Package Please note - to be eligible for this role you must have the unrestricted right to work in the UK, this organisation is not able to offer sponsorship. This is a hybrid role and will require you to work from the London office 2-3 days per week. About the Role We are looking for an accomplished Head of AI to lead the design and delivery of an ambitious AI strategy for a leading financial services organisation. This is a senior leadership position combining technical depth with strategic vision, where you will shape how AI transforms products, processes, and customer experiences. What You'll Do Develop and implement a comprehensive AI roadmap aligned with business objectives. Design and oversee scalable AI systems, including advanced machine learning models, automation tools, and generative AI applications. Build and manage a high-performing team of AI engineers, data scientists, and product specialists. Collaborate with senior stakeholders to embed AI into core business platforms and services. Establish governance frameworks to ensure ethical, compliant, and secure AI deployment. Drive innovation by identifying emerging technologies and translating research into practical solutions. Represent the organisation externally as a thought leader in AI, engaging with industry forums and technology communities. What We're Looking For Advanced academic background (PhD or MSc) in Computer Science, Machine Learning, AI, or related discipline. Proven track record of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and scalable architectures. Familiarity with modern AI frameworks and cloud platforms (AWS, Azure, GCP). Excellent leadership and communication skills, with the ability to influence at all levels. Contributions to research, patents, or open-source projects are highly desirable. To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
04/12/2025
Full time
Head of AI - Financial Services - London - £150k + Package Please note - to be eligible for this role you must have the unrestricted right to work in the UK, this organisation is not able to offer sponsorship. This is a hybrid role and will require you to work from the London office 2-3 days per week. About the Role We are looking for an accomplished Head of AI to lead the design and delivery of an ambitious AI strategy for a leading financial services organisation. This is a senior leadership position combining technical depth with strategic vision, where you will shape how AI transforms products, processes, and customer experiences. What You'll Do Develop and implement a comprehensive AI roadmap aligned with business objectives. Design and oversee scalable AI systems, including advanced machine learning models, automation tools, and generative AI applications. Build and manage a high-performing team of AI engineers, data scientists, and product specialists. Collaborate with senior stakeholders to embed AI into core business platforms and services. Establish governance frameworks to ensure ethical, compliant, and secure AI deployment. Drive innovation by identifying emerging technologies and translating research into practical solutions. Represent the organisation externally as a thought leader in AI, engaging with industry forums and technology communities. What We're Looking For Advanced academic background (PhD or MSc) in Computer Science, Machine Learning, AI, or related discipline. Proven track record of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and scalable architectures. Familiarity with modern AI frameworks and cloud platforms (AWS, Azure, GCP). Excellent leadership and communication skills, with the ability to influence at all levels. Contributions to research, patents, or open-source projects are highly desirable. To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance, Sales, Logistics and Customer Care. If you want to build a best-in-class Lakehouse from scratch-this is the one. ? What You'll Be Doing Lakehouse Engineering (Azure + Databricks) Engineer scalable ELT pipelines using Lakeflow Declarative Pipelines , PySpark , and Spark SQL across a full Medallion Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts to power high-performance Power BI datasets . Apply governance, lineage and fine-grained permissions via Unity Catalog . Orchestration & Observability Design and optimise orchestration using Lakeflow Workflows and Azure Data Factory . Implement monitoring, alerting, SLAs/SLIs, runbooks and cost-optimisation across the platform. DevOps & Platform Engineering Build CI/CD pipelines in Azure DevOps for notebooks, Lakeflow pipelines, SQL models and ADF artefacts. Ensure secure, enterprise-grade platform operation across Dev ? Prod , using private endpoints, managed identities and Key Vault. Contribute to platform standards, design patterns, code reviews and future roadmap. Collaboration & Delivery Work closely with BI/Analytics teams to deliver curated datasets powering dashboards across the organisation. Influence architecture decisions and uplift engineering maturity within a growing data function. ? Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ years delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing Zone patterns . Comfort with Git, CI/CD, automated deployments and modern engineering standards. Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model / Direct Lake optimisation
04/12/2025
Full time
Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance, Sales, Logistics and Customer Care. If you want to build a best-in-class Lakehouse from scratch-this is the one. ? What You'll Be Doing Lakehouse Engineering (Azure + Databricks) Engineer scalable ELT pipelines using Lakeflow Declarative Pipelines , PySpark , and Spark SQL across a full Medallion Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts to power high-performance Power BI datasets . Apply governance, lineage and fine-grained permissions via Unity Catalog . Orchestration & Observability Design and optimise orchestration using Lakeflow Workflows and Azure Data Factory . Implement monitoring, alerting, SLAs/SLIs, runbooks and cost-optimisation across the platform. DevOps & Platform Engineering Build CI/CD pipelines in Azure DevOps for notebooks, Lakeflow pipelines, SQL models and ADF artefacts. Ensure secure, enterprise-grade platform operation across Dev ? Prod , using private endpoints, managed identities and Key Vault. Contribute to platform standards, design patterns, code reviews and future roadmap. Collaboration & Delivery Work closely with BI/Analytics teams to deliver curated datasets powering dashboards across the organisation. Influence architecture decisions and uplift engineering maturity within a growing data function. ? Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ years delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing Zone patterns . Comfort with Git, CI/CD, automated deployments and modern engineering standards. Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model / Direct Lake optimisation
Senior Data Scientist - £75,000 to £85,000 + 3 days a week onsite Method Resourcing is supporting a high-growth data function in central London who are building out their Data Science capability and looking for an experienced Senior Data Scientist ready to progress into a leadership role. You'll join a flat-structured team of five (scaling to seven), with full end-to-end ownership of modelling, deployment, and stakeholder delivery. This is a team that truly owns their products: hypothesis, modelling, deployment, monitoring. If you want breadth, autonomy, and strategic impact, this is one of the strongest environments in London. They're looking for someone who can already operate at a senior level: confident presenting to senior leadership, able to mentor others, and capable of stepping into a Lead role within 1-2 years. The Role You'll act as the blend of: Data & AI evangelist - educating stakeholders on possibilities and translating technical outcomes to business value. Data specialist - shaping data science strategy, building production-ready ML models, and embedding best practice. Fixer/problem-solver - helping teams refine requirements, diagnose issues, and drive real commercial outcomes. Day-to-day you will: Translate complex business problems into research questions with quantifiable objectives. Identify, acquire, and work with structured and unstructured datasets. Build, validate, deploy, and monitor production ML models. Partner with data engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold software engineering and MLOps best practices (testing, versioning, quality, automation). Contribute to governance, responsible model usage, and data quality standards. Mentor juniors and support code reviews. Required Experience You'll need: Strong Python experience and deep familiarity with mainstream ML libraries. Proven experience deploying and owning ML models in production. Experience working in cross-functional data teams. Strong stakeholder communication skills and the ability to explain commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process Video call - high-level overview and initial discussion In-person technical presentation - based on a provided example In-person deep dive - code, design decisions, improvements Final HR video stage Why Apply? A clear, supported pathway to Lead within 1-2 years High ownership, flat structure, real autonomy Work with highly capable engineers, scientists, and architects Build models end-to-end and see real business outcomes Collaborative, modern, technically strong environment RSG Plc is acting as an Employment Agency in relation to this vacancy.
04/12/2025
Full time
Senior Data Scientist - £75,000 to £85,000 + 3 days a week onsite Method Resourcing is supporting a high-growth data function in central London who are building out their Data Science capability and looking for an experienced Senior Data Scientist ready to progress into a leadership role. You'll join a flat-structured team of five (scaling to seven), with full end-to-end ownership of modelling, deployment, and stakeholder delivery. This is a team that truly owns their products: hypothesis, modelling, deployment, monitoring. If you want breadth, autonomy, and strategic impact, this is one of the strongest environments in London. They're looking for someone who can already operate at a senior level: confident presenting to senior leadership, able to mentor others, and capable of stepping into a Lead role within 1-2 years. The Role You'll act as the blend of: Data & AI evangelist - educating stakeholders on possibilities and translating technical outcomes to business value. Data specialist - shaping data science strategy, building production-ready ML models, and embedding best practice. Fixer/problem-solver - helping teams refine requirements, diagnose issues, and drive real commercial outcomes. Day-to-day you will: Translate complex business problems into research questions with quantifiable objectives. Identify, acquire, and work with structured and unstructured datasets. Build, validate, deploy, and monitor production ML models. Partner with data engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold software engineering and MLOps best practices (testing, versioning, quality, automation). Contribute to governance, responsible model usage, and data quality standards. Mentor juniors and support code reviews. Required Experience You'll need: Strong Python experience and deep familiarity with mainstream ML libraries. Proven experience deploying and owning ML models in production. Experience working in cross-functional data teams. Strong stakeholder communication skills and the ability to explain commercial impact. Understanding of ML Ops vs DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process Video call - high-level overview and initial discussion In-person technical presentation - based on a provided example In-person deep dive - code, design decisions, improvements Final HR video stage Why Apply? A clear, supported pathway to Lead within 1-2 years High ownership, flat structure, real autonomy Work with highly capable engineers, scientists, and architects Build models end-to-end and see real business outcomes Collaborative, modern, technically strong environment RSG Plc is acting as an Employment Agency in relation to this vacancy.
Senior Data Engineer Position Description As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality Your future duties and responsibilities -Ingest new datasets as needed by the business. - Ensure all analytics-ready datasets are formatted clearly and meet high-quality standards. - Investigate and resolve any defects or discrepancies in the datasets. - Maintain the dataset catalogue and data dictionary so analysts/data scientists can easily find and use data. - Perform any other tasks that help ensure the datasets are coherent, well-maintained and available for end-users. Required qualifications to be successful in this role Communication - Engage effectively with both technical and non-technical stakeholders. - Lead discussions in multidisciplinary teams and handle differing viewpoints. - Represent and advocate for the Data Services team externally. - Data Analysis & Synthesis - Profile data and analyse source systems. - Present clear insights to support how data is used downstream. Data Development & Integration - Design, build and test large or complex data products. - Look for ways to improve data by providing "conformed" (standardised) datasets. - Choose and implement technologies that deliver resilient, scalable, future-proof data solutions. Data Modelling - Produce data models across multiple subject areas. - Explain the rationale behind choosing specific models. - Understand industry-recognised modelling standards and apply them appropriately. Metadata & Data Management - Ensure datasets are accompanied by appropriate metadata. - Know tools and practices for metadata storage and usage. - Oversee integrity, accessibility and searchability of data and metadata, and recommend improvements. Problem Resolution (Data) - Respond to problems in databases, data processes or data products as they arise. - Monitor services to identify trends and take preventative action. Programming / Build (Data Engineering) - Use agreed standards and tools to design, code, test, document and refactor moderate-to-complex programs and scripts. - Collaborate with others on specifications and reviews. Testing - Review requirements, define test conditions, identify risks and test issues. - Apply manual and automated testing as needed, analyse and report results. Technical Understanding & Innovation - Understand core technical concepts relevant to the role and apply them with guidance. - Stay aware of emerging trends, tools, techniques in data, and their impact on the organisation Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position is available in Gloucester. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
04/12/2025
Full time
Senior Data Engineer Position Description As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality Your future duties and responsibilities -Ingest new datasets as needed by the business. - Ensure all analytics-ready datasets are formatted clearly and meet high-quality standards. - Investigate and resolve any defects or discrepancies in the datasets. - Maintain the dataset catalogue and data dictionary so analysts/data scientists can easily find and use data. - Perform any other tasks that help ensure the datasets are coherent, well-maintained and available for end-users. Required qualifications to be successful in this role Communication - Engage effectively with both technical and non-technical stakeholders. - Lead discussions in multidisciplinary teams and handle differing viewpoints. - Represent and advocate for the Data Services team externally. - Data Analysis & Synthesis - Profile data and analyse source systems. - Present clear insights to support how data is used downstream. Data Development & Integration - Design, build and test large or complex data products. - Look for ways to improve data by providing "conformed" (standardised) datasets. - Choose and implement technologies that deliver resilient, scalable, future-proof data solutions. Data Modelling - Produce data models across multiple subject areas. - Explain the rationale behind choosing specific models. - Understand industry-recognised modelling standards and apply them appropriately. Metadata & Data Management - Ensure datasets are accompanied by appropriate metadata. - Know tools and practices for metadata storage and usage. - Oversee integrity, accessibility and searchability of data and metadata, and recommend improvements. Problem Resolution (Data) - Respond to problems in databases, data processes or data products as they arise. - Monitor services to identify trends and take preventative action. Programming / Build (Data Engineering) - Use agreed standards and tools to design, code, test, document and refactor moderate-to-complex programs and scripts. - Collaborate with others on specifications and reviews. Testing - Review requirements, define test conditions, identify risks and test issues. - Apply manual and automated testing as needed, analyse and report results. Technical Understanding & Innovation - Understand core technical concepts relevant to the role and apply them with guidance. - Stay aware of emerging trends, tools, techniques in data, and their impact on the organisation Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position is available in Gloucester. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Applied analytics for RF hardware, signal processing and machine learning South Cambs / Essex; £60,000 to £90,000 DoE This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF work and help advance their signal processing pipelines, and ultimately develop next generation prototype technologies. You re likely be a PhD holder in electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding of RF hardware (antenna, filters, mixers) including baseband data. - Experience analysing wireless protocols (Wi-Fi, LTE, LoRa). Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable. Similarly, any exposure to embedded or real-time systems; MATLAB, C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone / autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close to the Cambridgeshire and Essex border (commuting by car from Cambridge, Chelmsford, Royston, Bishop's Stortford is all possible). On offer is an excellent opportunity to join this start-up, work with like-minded people on interesting projects with real world applied impact. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27540 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
04/12/2025
Full time
Applied analytics for RF hardware, signal processing and machine learning South Cambs / Essex; £60,000 to £90,000 DoE This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF work and help advance their signal processing pipelines, and ultimately develop next generation prototype technologies. You re likely be a PhD holder in electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding of RF hardware (antenna, filters, mixers) including baseband data. - Experience analysing wireless protocols (Wi-Fi, LTE, LoRa). Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable. Similarly, any exposure to embedded or real-time systems; MATLAB, C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone / autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close to the Cambridgeshire and Essex border (commuting by car from Cambridge, Chelmsford, Royston, Bishop's Stortford is all possible). On offer is an excellent opportunity to join this start-up, work with like-minded people on interesting projects with real world applied impact. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27540 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
03/12/2025
Full time
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Collaborate with geoscientists and engineers to understand requirements and design effective solutions Develop robust Python pipelines for data manipulation Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Required Qualifications Honors degree (2:1 or above) in data science/AI or related field. Minimum of 10 years related work experience. Desirable Qualifications Postgraduate qualification in AI or related field Essential Skills Proficiency in Python, with a strong adherence to Python best practices Experience using Git for version control and collaboration Knowledge of secure coding principles Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL Advanced knowledge of PostgreSQL/PostGIS for spatial data management Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable of managing multiple tasks Desirable Skills Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Understanding of data governance and compliance in scientific environments Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204382 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
03/12/2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Collaborate with geoscientists and engineers to understand requirements and design effective solutions Develop robust Python pipelines for data manipulation Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Required Qualifications Honors degree (2:1 or above) in data science/AI or related field. Minimum of 10 years related work experience. Desirable Qualifications Postgraduate qualification in AI or related field Essential Skills Proficiency in Python, with a strong adherence to Python best practices Experience using Git for version control and collaboration Knowledge of secure coding principles Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL Advanced knowledge of PostgreSQL/PostGIS for spatial data management Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable of managing multiple tasks Desirable Skills Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Understanding of data governance and compliance in scientific environments Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204382 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - 435 Per Day - 590 Per Day Inside IR35 We're looking for experienced Senior Data Scientists to join a leading global streaming and technology platform, supporting their product, design, and engineering teams. What You'll Work On Designing and analysing A/B experiments across high-visibility product surfaces Creating success metrics and shaping data-driven measurement strategies Deep analytical work using SQL (BigQuery) + Python/R Building dashboards in Tableau / Looker Studio Delivering clear, actionable insights to senior stakeholders Supporting either the User Platform (login, account systems, identity management). What We're Looking For 5+ years as a product-focused Data Scientist Strong background in A/B testing and experimentation High proficiency in SQL (BigQuery preferred) Skilled in Python or R Excellent communication and stakeholder management Experience working in fast-paced consumer tech or streaming environments is a strong plus This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
03/12/2025
Contractor
Product Data Scientist Location: Remote - UK Type of role- 6 Months contract with potential extension Payrate - 435 Per Day - 590 Per Day Inside IR35 We're looking for experienced Senior Data Scientists to join a leading global streaming and technology platform, supporting their product, design, and engineering teams. What You'll Work On Designing and analysing A/B experiments across high-visibility product surfaces Creating success metrics and shaping data-driven measurement strategies Deep analytical work using SQL (BigQuery) + Python/R Building dashboards in Tableau / Looker Studio Delivering clear, actionable insights to senior stakeholders Supporting either the User Platform (login, account systems, identity management). What We're Looking For 5+ years as a product-focused Data Scientist Strong background in A/B testing and experimentation High proficiency in SQL (BigQuery preferred) Skilled in Python or R Excellent communication and stakeholder management Experience working in fast-paced consumer tech or streaming environments is a strong plus This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Senior Data Scientist - Fintech First Permanent DS Hire £75,000-£85,000 + benefits Fully Remote (UK) Direct report to CDO Build the DS capability FCA-regulated product This is a rare opportunity to join a fast-growing, FCA-regulated fintech as their first permanent Senior Data Scientist, shaping a brand-new data science capability from the ground up. The business has built a highly successful SaaS platform in the Fintech space. With strong investment and FCA approval now secured, they're moving firmly into the data products and insights space - turning the rich consumer financial and behavioural data they hold into real intelligence, new models, and new customer offerings. Things expected from you Sets the standard Builds the capability Shapes the roadmap Becomes the go-to person for modelling, insights and DS foundations If you're someone who enjoys autonomy, variety, being close to stakeholders, and having genuine influence in a startup that's now scaling - this is the ideal next step. This is a genuinely varied and hands-on role where you'll: Build and scale data science and modelling foundations in Databricks Work with financial, consumer and behavioural data to create new models & scorecards Design MI dashboards and reporting to help the business understand its own data Collaborate closely with Product, Finance, Customer Ops and the senior leadership team Evaluate where ML/AI can enhance the core SaaS platform Present insights and model outputs clearly to non-technical stakeholders (including board/NEDs) Influence how the data function grows over the next 12-24 months This is the start of the data and analytics function - you won't just inherit a roadmap; you'll help write it. You'll thrive here if you are: A strong hands-on Data Scientist with experience in FS/fintech or regulated environments Confident working with Python, SQL and Databricks Capable of building predictive models, scorecards and ML components Comfortable creating dashboards/MI to support internal understanding Excited by a startup environment where you'll wear different hats Able to communicate clearly to senior and non-technical audiences Looking for ownership and long-term progression into Head of DS Why this role is genuinely exciting You're the first permanent hire - you shape how DS works here Direct line to the C-suite, not buried in a data pod True autonomy: you influence strategy, tooling, roadmap and delivery Visible across the entire business, including investors & NEDs The company is moving from SaaS - data products, meaning greenfield work Clear long-term upward path (team will grow over the next 12-24 months) - Underneath you ideally! This is the role for someone who wants more than just building models - someone who wants to make their mark and grow with a FinTech entering its next phase.
02/12/2025
Full time
Senior Data Scientist - Fintech First Permanent DS Hire £75,000-£85,000 + benefits Fully Remote (UK) Direct report to CDO Build the DS capability FCA-regulated product This is a rare opportunity to join a fast-growing, FCA-regulated fintech as their first permanent Senior Data Scientist, shaping a brand-new data science capability from the ground up. The business has built a highly successful SaaS platform in the Fintech space. With strong investment and FCA approval now secured, they're moving firmly into the data products and insights space - turning the rich consumer financial and behavioural data they hold into real intelligence, new models, and new customer offerings. Things expected from you Sets the standard Builds the capability Shapes the roadmap Becomes the go-to person for modelling, insights and DS foundations If you're someone who enjoys autonomy, variety, being close to stakeholders, and having genuine influence in a startup that's now scaling - this is the ideal next step. This is a genuinely varied and hands-on role where you'll: Build and scale data science and modelling foundations in Databricks Work with financial, consumer and behavioural data to create new models & scorecards Design MI dashboards and reporting to help the business understand its own data Collaborate closely with Product, Finance, Customer Ops and the senior leadership team Evaluate where ML/AI can enhance the core SaaS platform Present insights and model outputs clearly to non-technical stakeholders (including board/NEDs) Influence how the data function grows over the next 12-24 months This is the start of the data and analytics function - you won't just inherit a roadmap; you'll help write it. You'll thrive here if you are: A strong hands-on Data Scientist with experience in FS/fintech or regulated environments Confident working with Python, SQL and Databricks Capable of building predictive models, scorecards and ML components Comfortable creating dashboards/MI to support internal understanding Excited by a startup environment where you'll wear different hats Able to communicate clearly to senior and non-technical audiences Looking for ownership and long-term progression into Head of DS Why this role is genuinely exciting You're the first permanent hire - you shape how DS works here Direct line to the C-suite, not buried in a data pod True autonomy: you influence strategy, tooling, roadmap and delivery Visible across the entire business, including investors & NEDs The company is moving from SaaS - data products, meaning greenfield work Clear long-term upward path (team will grow over the next 12-24 months) - Underneath you ideally! This is the role for someone who wants more than just building models - someone who wants to make their mark and grow with a FinTech entering its next phase.
