174 jobs found

Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.

Job Title - Senior Data Manager Location - Manchester, UK Type - Contract Job Description: About the role The Trips Data Governance team manages data for all aspects of trips, excluding stays, enabling teams to understand and improve business performance and customer experience. They are currently seeking an experienced Data Manager to join their impactful Data Governance team to support the critical SAP Rise migration program. About the SAP Rise program: The programme is a key business modernisation initiative to migrate the current Booking Transport (BTL) SAP instance to a standardised cloud-based ERP system. The programme will introduce an interim architecture between the current platform and the SAP S/4 RISE ecosystem to test processes, data quality and governance, data contracts, and new capabilities, while supporting the transition to the North Star architecture where data flows directly from a modernised enterprise order platform. Role Overview: In this role, a Senior Data Manager combines technical knowledge, business insight, and expert communication to provide critical information about data systems. This position focuses on supporting business needs with high-quality data through monitoring, issue detection, impact quantification, end-to-end data corrections, standardization, and architectural optimization. A key aspect of the role is to advocate for a Data Quality mindset across the organization. You will report to a Senior Manager and collaborate with other Data Managers on strategic objectives for data quality, governance, metadata management and regulatory compliance. This is a hands-on role where you will work closely with Business Analysts, Data Engineers, Data Scientists, and Insights Analysts to build deliverables required for the SAP Rise program. Roles & Responsibilities As a Senior Data Manager I (Level G), your required competencies include: Independence in: AI & Ethics: Independent in ethical data handling, responsible AI, compliance, knowledge & prompt engineering, and AI application in Data Management. Change & Project Mgt.: Independent in change management, planning, monitoring & delivery, stakeholder management, and DQ implementation. Critical Thinking: Independent in decision making, and DQ - investigate & resolve. Data & Info. Management: Independent in MDM integrations, MDM policies, document & content lifecycle, document & content classification, data risk identification, data risk decision, data risk mitigation, metadata management, and data lifecycle management. Effective Communication: Independent in communication basics, cross-cultural relationships, and tailored messaging & motivational communication. Privacy & Security: Independent in high-pressure communication, regulatory knowledge, vulnerability & mitigation, and compliance-by-design. Software & Analytics: Independent in coding, visualisation, and Data Mgt. Adoption. Stewardship: Independent in identification & training. Strategy & Policy: Independent in data management strategy, policies, standards & playbooks, and maturity model & assessment. Solution Design: Independent in solution requirements. Expertise Critical Thinking: Expertise in root cause analysis. Data & Info. Management: Expertise in MDM requirements. Software & Analytics: Expertise in analysis (both listed entries), Data Mgt. Integration, and DQ Dimensions & Rules. Solution Design: Expertise in solution monitoring & iteration. Stewardship: Expertise in advocacy & support. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Job Title: Product Data Scientist - Hybrid - Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist , you'll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You'll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to empower stakeholders with self-serve insights. Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations. Collaborate across functions to close data gaps and drive analytics best practice. Stay current on industry trends and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging senior stakeholders. Curious, proactive, and detail-oriented problem solver. Team player with strong collaboration skills. What's on Offer Salary up to £80,000 + bonus Hybrid working (2 days per week in London office) Competitive annual leave package Pension scheme and healthcare support Employee discounts and perks Regular team socials and recognition initiatives Strong learning and development opportunities Apply Now If you're an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

Senior Data Scientist London or Leicester (hybrid, 1 day per week onsite) £60,000 to £75,000 This is an opportunity to join a pricing team building innovative models that shape how pricing decisions are made. You will work with complex and novel datasets, develop predictive models, and help advance a modern modelling framework that delivers real commercial impact. The Company They are a well-established organisation investing in data science and advanced analytics. The pricing team operates with agility and encourages curiosity, experimentation and rapid learning. With strong leadership backing and a growing modelling roadmap, they are looking to add experienced Senior Data Scientists to support their next phase of development. The Role Develop, refresh and combine pricing and footprint models that support pricing decisions. Work with messy, complex datasets including geospatial and alternative data sources. Build predictive and residual models across major products, contributing to a wider model chain. Review and improve existing early-stage models, progressing them toward production readiness. Explore new ways to manage and integrate multiple models within a stack. Guide a junior Data Scientist and support their technical development. Communicate model outputs clearly to technical and non-technical stakeholders. Your Skills and Experience Strong experience working with large, messy and diverse datasets. Hands-on modelling experience using GLMs, XGBoost or similar predictive methods. Proficiency in Python and SQL, ideally within a cloud environment such as Azure. Experience combining or managing multiple models in a pipeline. Clear communication skills with the ability to explain insights effectively. A curious mindset and the ability to work at pace. Insurance experience is welcome but not essential. What They Offer A salary between £60,000 and £75,000. Hybrid working with London or Leicester as a base. The chance to build impactful pricing and footprint models. Career development through ownership, visibility and coaching opportunities.

Senior Data Scientist, Alternative Pricing Leicester You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected. The Company They are a well-established UK general insurance provider with a strong focus on car, van, bike and home insurance. Data science and analytics sit at the core of their strategy, supported by significant investment in cloud technology and digital platforms. Their pricing and data science capability is regarded as one of the strongest in the UK insurance market. You will join a profitable, tech enabled organisation with the scale, data and backing to do cutting edge work. The Team You will join a specialist Alternative Pricing Product team that sits alongside a core pricing function. It is a small, collaborative team of around six people, where you will provide technical leadership and mentor a graduate data scientist. The Role As a Senior Data Scientist, you will: Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team. Build predictive models that identify new ways to set prices and select customers, beyond traditional pricing approaches. Work with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering. Deploy models into production using Python, SQL, Azure ML and an internal deployment platform. Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy. Mentor junior team members and contribute to setting technical standards within the team. Your Skills And Experience You will bring: Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling. Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure. Practical experience with tree based methods such as XGBoost or CatBoost, and an interest in geospatial or graph based modelling. Confidence working with large scale, messy, multi source datasets, including complex data cleansing and feature engineering. Experience solving pricing, risk or customer prediction problems and understanding how models drive profit, loss and customer outcomes. How To Apply If you are interested in this Senior Data Scientist opportunity in Alternative Pricing, please apply with your CV to be considered for the next stage of the process.

Senior Data Scientist Salary: 85,000 - 95,000 + Equity Location: Central London (Hybrid - 2-3 days per week in office) We are currently looking for a Senior Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly to the co-founders, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Senior Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Senior Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-end What makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership , not layers of process It's a chance to join early and help shape a product What's in it for you? 85,000 - 95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment If you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below.

Senior Data Engineer - Sponsorship Offered 65,000 - 72,000 + 20% Bonus + Excellent Benefits London 2-3 days on-site Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Azure Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.

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

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

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

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

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

Level/Experience: SRE Level - 1-3 years experience Location: Farringdon, London (hybrid, with up to 2 days a week WFH). Closing Date - 7th April 2026 Interview Date - TBC Who are we Tapestry is a multi-award-winning research agency in mid-transformation. We re rebuilding our processes from the inside out, including using Displayr to streamline our data pipeline. The Role We ve moved to Displayr, and need someone who can use it with confidence, curiosity and creativity. You will be the connection between teams: part Displayr specialist, part problem-solver, part data scientist. This is a role at the coal-face of our work. You ll manage an ever-shifting workload, keeping projects on track amid changing priorities and pipelines. Key Responsibilities Consistently delivering clean, accurate tables & reports Help us to maximise the benefits of Displayr Own and improve quality assurance Find why on earth are we doing it this way? moments and help fix them. Create and champion best practice. Look across projects to spot efficiencies and patterns. Work with our development team to automate as much as possible. The Candidate You ve already made a start to your career (probably 18 months+) and we want you to demonstrate Relevant Skills: Required: Fluent with Displayr and/or Q An appreciation of data packages/languages such as SPSS R, Python or Javascript Knowledge: Clear understanding of data structure, Displayr workflow and QA, and proven ability to apply that knowledge. Curiosity: You want to know more, learn more, try more. Problem Solving: You see patterns, spot gaps, fix stuff, then work to spread that knowledge. Consistency: Strong attention to detail, reliability and quality. You re moving beyond following process to helping us shape it. Organisation: You plan well and when needed can juggle shifting demands without dropping anything. Communication: Clear, calm, good at translating jargon. Teamwork: Willingness to engage, challenge and collaborate. You listen, question and work well with others. Tapestry is an equal opportunity employer. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, marital status, race, religion, colour, age, disability or sexual orientation.

We are hiring a Senior Artificial Intelligence (AI) Governance Specialist /Lead, London-hybrid for 6 months initially. MARKET RATE Inside IR35 Essential Experience applying AI governance, model risk or responsible AI controls within technology or data-driven programmes. Experience operating within regulated or compliance-sensitive environments. Working knowledge of machine learning pipelines, data governance practices and model monitoring concepts. Experience translating regulatory, policy or risk requirements into practical controls within AI or digital solutions. Ability to engage and influence technical and non-technical stakeholders within cross-functional delivery teams. Desirable Experience developing governance frameworks for emerging technologies such as advanced machine learning or agentic automation systems. Experience operating within multi-supplier or multi-organisation delivery environments. Familiarity with rail industry risk, assurance or safety governance processes. Exposure to model monitoring, lifecycle management or Machine Learning Operations practices Responsible AI governance across the by defining and embedding risk management, assurance and compliance controls to support the safe, ethical and regulatory-aligned deployment of AI and automation solutions. Define and embed AI governance principles, risk controls and assurance frameworks across the programme to support consistent and responsible AI deployment Review and challenge AI and automation solutions against regulatory expectations, including data privacy, security, explainability, bias mitigation and safe operation Identify, assess and manage risks specific to AI systems, including model reliability, agentic behaviour constraints, data usage and ethical considerations. Direct the development and maintenance of comprehensive governance artefacts including model risk assessments, data handling controls, audit mechanisms, monitoring frameworks and exception management processes. Shape governance approaches for machine learning and agentic automation systems to support responsible experimentation and controlled deployment. Work in close partnership and collaborate with the AI Solutions Architect, Data Scientists and Engineers to embed governance controls throughout the solution lifecycle. Translate policy, regulatory and risk requirements into practical technical controls and guardrails within AI solution designs. Define and oversee performance metrics, key risk indicators and monitoring approaches to identify model drift, governance breaches and emerging risk patterns.

Senior Data Manager SAP Rise Program (Contract,Manchester, hybrid) Are you a technical data expert with a passion for high-stakes business transformation? We are seeking an experienced Senior Data Manager to join a critical global initiative focused on modernizing enterprise architecture through the SAP Rise migration program. In this role, you will play a pivotal part in transitioning from legacy systems to a standardized cloud-based ERP ecosystem. You will work at the intersection of technical systems and business insight to ensure data remains high-quality, compliant, and architecturally optimized during this large-scale migration. The Role Data Governance & Quality: Drive a "Data Quality mindset" by monitoring systems, detecting issues, and executing end-to-end data corrections and standardizations. Migration Strategy: Support the introduction of interim architectures to test data contracts, quality governance, and new capabilities as we move toward a modern "North Star" data flow. Collaboration: Partner with Data Engineers, Scientists, and Business Analysts to build essential deliverables for the SAP Rise program. Strategic Oversight: Manage metadata, Master Data Management (MDM) integrations, and regulatory compliance while contributing to data management strategy and policies. Key Competencies Technical Expertise: Advanced skills in root cause analysis, MDM requirements, DQ Dimensions & Rules, and solution monitoring. Data Management: Proven ability in data lifecycle management, risk identification, and metadata management. Software & Analytics: Independent proficiency in coding, data visualization, and the adoption of data management tools. Project Leadership: Experienced in change management, stakeholder engagement, and delivering complex data quality implementations. AI & Ethics: Knowledgeable in ethical data handling, responsible AI, and compliance. Ready to help steer one of the most significant data migrations in the travel tech industry? Please apply here or share your CV to (url removed) Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Job Title - Senior Data Manager Location - Manchester, UK Type - Contract Job Description: About the role The Trips Data Governance team manages data for all aspects of trips, excluding stays, enabling teams to understand and improve business performance and customer experience. They are currently seeking an experienced Data Manager to join their impactful Data Governance team to support the critical SAP Rise migration program. About the SAP Rise program: The programme is a key business modernisation initiative to migrate the current Booking Transport (BTL) SAP instance to a standardised cloud-based ERP system. The programme will introduce an interim architecture between the current platform and the SAP S/4 RISE ecosystem to test processes, data quality and governance, data contracts, and new capabilities, while supporting the transition to the North Star architecture where data flows directly from a modernised enterprise order platform. Role Overview: In this role, a Senior Data Manager combines technical knowledge, business insight, and expert communication to provide critical information about data systems. This position focuses on supporting business needs with high-quality data through monitoring, issue detection, impact quantification, end-to-end data corrections, standardization, and architectural optimization. A key aspect of the role is to advocate for a Data Quality mindset across the organization. You will report to a Senior Manager and collaborate with other Data Managers on strategic objectives for data quality, governance, metadata management and regulatory compliance. This is a hands-on role where you will work closely with Business Analysts, Data Engineers, Data Scientists, and Insights Analysts to build deliverables required for the SAP Rise program. Roles & Responsibilities As a Senior Data Manager I (Level G), your required competencies include: Independence in: AI & Ethics: Independent in ethical data handling, responsible AI, compliance, knowledge & prompt engineering, and AI application in Data Management. Change & Project Mgt.: Independent in change management, planning, monitoring & delivery, stakeholder management, and DQ implementation. Critical Thinking: Independent in decision making, and DQ - investigate & resolve. Data & Info. Management: Independent in MDM integrations, MDM policies, document & content lifecycle, document & content classification, data risk identification, data risk decision, data risk mitigation, metadata management, and data lifecycle management. Effective Communication: Independent in communication basics, cross-cultural relationships, and tailored messaging & motivational communication. Privacy & Security: Independent in high-pressure communication, regulatory knowledge, vulnerability & mitigation, and compliance-by-design. Software & Analytics: Independent in coding, visualisation, and Data Mgt. Adoption. Stewardship: Independent in identification & training. Strategy & Policy: Independent in data management strategy, policies, standards & playbooks, and maturity model & assessment. Solution Design: Independent in solution requirements. Expertise Critical Thinking: Expertise in root cause analysis. Data & Info. Management: Expertise in MDM requirements. Software & Analytics: Expertise in analysis (both listed entries), Data Mgt. Integration, and DQ Dimensions & Rules. Solution Design: Expertise in solution monitoring & iteration. Stewardship: Expertise in advocacy & support. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Frontend Developer (React) Up to £55,000 | Bristol (On-site) Want to build Real Time trading tools that directly impact the UK's move to renewable energy? iO Associates is exclusively working with a leading energy trading firm operating at the heart of the UK & European power markets. It's a fast-paced, high-impact environment where tech drives decisions and they're looking for a developer who's hungry to learn, grow, and make an impact! The Role You'll be building and evolving Front End applications used by Traders and Data Scientists to react to live market data in Real Time. They're modernising their stack (moving to Remix ) so you'll be working on clean, forward-thinking tech, not Legacy systems. What Matters Most They're big on attitude and potential : Curious, proactive, and eager to learn Comfortable in a fast-moving environment Keen to collaborate and take ownership Tech JavaScript + React HTML/CSS (Tailwind a bonus) Git + team-based workflows Nice to have: Remix, SQL, AWS, UX exposure Why Join? Up to £55k + strong benefits 30 days holiday + bank holidays Real learning & progression (direct access to senior team) Work on impactful, Real Time systems Collaborative, high-performing culture Our client has a swift interview process and for the right candidate they will interview early next week! If you're interested in this role, or know someone who would be, then please reach out

Job Title: Principal Data Scientist Salary: £74,200 - £99,250 Location: Cambridge/Hybrid with 2 day per week at the office Contract: Permanent  Hours: Full time 35 hours per week Are you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist , you will play a pivotal role at the heart of this transformation – leading our data science capability for AI-enabled assessment products used by millions of learners globally. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.  This is a senior, influential role where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions. About the role    As Principal Data Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation. You will: Set the direction for data science and analytics supporting automarking and AI-driven assessment Lead and grow a small, high-impact team of data scientists and engineers Curate high-quality data products used across research, machine learning and product teams Act as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insight Ensure sensitive exam and candidate data is handled responsibly and ethically Additional responsibilities and accountabilities include:   Lead data science, data engineering and analytics activities within ARC Define and own the data strategy for automarking and related AI capabilities Design and oversee data warehouses, pipelines and integrations with the wider organisation Translate complex business and research needs into robust data solutions Provide expert input into product, research and architectural decisions, up to board level Build strong relationships with internal teams and external research partners Champion best practice in data quality, DataOps and analytics engineering This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.  About You    To be successful in this role, you will bring: Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands-on experience with data transformation tools such as dbt, Dataform or SQLMesh Experience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BI A strong understanding of data warehousing principles (e.g. Kimball methodology) Experience designing data models that enable self-service analytics Proven ability to translate business or research questions into data-driven insights Experience communicating complex technical concepts to non-technical and senior audiences Leadership experience, including mentoring and guiding other data professionals If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following  desirable  criteria:  Machine learning or AI product experience Exposure to automarking, assessment, or high-stakes data environments Skills in experimentation and statistical analysis (A/B testing, forecasting) Familiarity with DataOps (CI/CD, testing, orchestration, observability) For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's  Offer of an Interview  commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the  gov.uk  website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits     We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible  rewards package , featuring family-friendly and planet-friendly benefits including:  28 days annual leave plus bank holidays  Private medical and Permanent Health Insurance   Discretionary annual bonus   Group personal pension scheme  Life assurance up to 4 x annual salary   Green travel schemes   Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be  13   March 2026.   We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. As part of the application process, you can expect:   At application stage: four technical questions to answer when submitting your CV. Stage 1 : 30-minute screening call with the hiring manager. Stage 2 : 60-minute session includes questions about key skills as well as a code review or whiteboard exercise. Stage 3 : 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed. Stage 4 : Leadership and cultural 45-minute interview. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.  Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.  Why join us   Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.  We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.

Welcome to ASK BOSCO , thanks for stopping by Let s pause for a second. Before we talk perks, equity, or growth stats, let s flip the script. This isn t about us. Not yet. This is about you: • What s driving your search right now, what s prompting you to take the next big step in your career? • Are you looking for a role where you can lead a high-performing team, shape how technology is applied, and make a direct impact on growth and customer success? • Do you want to work in a fast-paced, idea driven environment where your voice matters, but delivery, stability, and scalability always come first? Hold onto those thoughts. Now let us introduce you to something special, a chance to join us as VP of Engineering at ASK BOSCO as we build the foundations for our next phase of hyper-growth. By the end, if it doesn t feel like the right fit, no worries. But if you feel that spark, the same one we ve got, this could be the start of something extraordinary. The Role at a Glance: VP of Engineering (Python) Hybrid Leeds HQ, 2 Days per Week £120,000 + Equity Potential Plus Benefits: 4-day week, 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme Values & Culture: Outstanding Company to Work For 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs, including co-founder of SkyScanner. Profits with Purpose 10% of profits donated to 1moreChild orphanage annually Markets: Marketing & eCommerce Agencies, eCommerce retailers Your Expertise: You re a proven engineering leader with deep experience in building, scaling, and managing cross-functional tech teams: data engineers, data scientists, data analysts, and developers. You ve led teams through transformational growth, delivering stable, scalable SaaS products that retain and delight customers. You understand what it takes to grow a business from early-stage traction to a large-scale, enterprise-grade platform, and you re ready to lay the technical foundations for our next phase of hyper-growth. You also bring strong experience managing infrastructure partners, confidently navigating and shaping these critical relationships. This isn t a back-seat role. You ll be hands-on where it counts, partnering with the Chief Product Officer to drive delivery, scalability, and long-term success. You ll guide senior stakeholders with clear, data-driven insights, helping keep the roadmap on track in a fast-moving, idea-driven environment. What You ll Be Driving: • Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions. • Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture. • Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention. • Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security. • Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution. • Drive enterprise-grade excellence: Embed best-in-class engineering practices agile, CI/CD, DevOps, security-first design across teams. • Champion scalability: Build products and systems that can grow globally and support tens of thousands of customers. What You ll Bring: • Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company. • Solid-Strong Python development skills • Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development. • Hands-on experience delivering stable, scalable SaaS products with measurable customer impact. • Experience managing infrastructure partners and external technical relationships. • Confident and polite stakeholder management, able to challenge senior leaders while keeping delivery on track. • Track record of leading transformational growth, scaling teams and products successfully. • Excellent communication - bridging tech, product, and commercial discussions seamlessly. • Customer-first mindset - building products that retain and delight users. This is a role for someone who s been there, done it, and is ready to do it again with more ownership, autonomy, and impact than ever before in a fast-paced, high-growth environment. Inclusive Culture At ASK BOSCO , everybody is invited with open arms. We embrace diversity in all forms race, gender, age, sexual orientation, disability, and beyond. Our mission is stronger when everyone can bring their authentic selves to work. Can you see yourself building the tech engine that drives our next phase of hyper-growth? If high-impact, high-growth, and hands-on leadership excites you, let s make it happen. Apply now and let s talk. P.S. Did we have you at the four-day week? Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.