99 jobs found

Data Engineers 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.

Location Leeds About the job Job summary We are currently looking for a Lead Data Architect to join our Strategy and Architecture Function within the Digital and Technology Group . This is a full-time opportunity, on a permanent basis. The role will be based in 7-8 Wellington Place, Leeds. Government departments and agencies are working towards implementing a minimum 60% attendance in office sites. We are currently implementing a flexible, hybrid way of working, with a minimum of 8 days per month working on site to enable the collaboration and contact with partners and stakeholders needed to deliver MHRA business. Attendance on site is driven by business needs so depending on the nature of the role, this can flex up to 12 days a month, with the remainder of time worked either remotely or in the office. Some roles will need to be on site more regularly. Who are we? The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research. The Digital and Technology Group (DTG) lies at the heart of the Agency and is responsible for delivering an optimised IT infrastructure and maximising the secure use of data to enable our scientists, inspectors, and the rest of the organisation to deliver world class services which can improve outcomes for patients and the general public. The Group was essential in the race to approve COVID-19 vaccines in 2020 and in supporting the UK to set up its own medicines and devices approvals systems following our exit from the EU. The work we do matters! Its centre of excellence is also responsible for delivering a broad portfolio of change initiatives, both to transform the Agency's legacy technologies and to deliver innovative new solutions, designed around our customers' needs. DTG works in a holistic way to combine digital and technology change, data and information management, project delivery, business process, product management and cultural change to maximise out impact and ensure sustainability. We plan to be at the heart of one of the most digitally advanced medical regulators in the world and we need people who can help us deliver that ambition. DTG is a great place to build your career and we are committed to enabling our people to do the best work of their lives. Job description The Strategy & Architecture team is responsible for ensuring that DTG service provision supports the delivery of the Agency's strategy and Corporate Delivery Plan including meeting MHRA's financial and performance targets and delivery objectives. The team is responsible for providing digital, data and technology design assurance to ensure proposed solutions are compliant with legislation, standards and Government policy. As a Lead Data Architect , you will play a vital role in designing and governing the enterprise data architecture to support regulatory, scientific, and operational functions. This is an exciting opportunity to work on data-focused products and services in a complex digital environment, supporting major initiatives across MHRA. In this role, you'll work across multiple projects, applying broad architectural thinking to design data models, metadata systems, and data dictionaries. You'll provide oversight and guidance to teams and projects, ensuring standards are met and solutions align with organisational principles. You'll also work closely with technical architects to make sure systems are designed in accordance with the appropriate data architecture. This role demands a strategic thinker with deep technical expertise, strong analytical skills, and the ability to collaborate with multiple stakeholders to create a cohesive data architecture that meets the department's current and future needs. Key responsibilities: Data Architecture Design Demonstrate expertise in data architecture including design of data platforms, modelling techniques, patterns, tools, and standards. Experienced in presenting data architecture designs to technical governance forums, ensuring alignment with organisational standards and strategic objectives. Data Governance and Standards Skilled in data modelling, master data management (MDM), metadata management, and data governance to ensure consistency, quality, and compliance across the enterprise. Ensure solutions adhere to government policies such as the Data Protection Act, GDPR, and the Technology Code of Practice. Alignment to emerging global data standards Data Integration and Management Experienced in designing data integration services to ensure seamless data flow across various systems and platforms, including legacy systems, cloud environments, and third-party applications. Develop and maintain data lineage and metadata management practices to provide transparency and control over data assets. Strategic Technology Leadership Proven ability to shape and support technology initiatives, projects, programmes, and portfolios, ensuring architectural integrity and alignment with organisational goals. Key Results High-Quality, Reusable Data Assets Enterprise data models, metadata, and standards are well-governed, up-to-date, and widely adopted by delivery teams. Data is consistently structured and reusable across multiple services, reducing duplication and integration costs Improved Data Quality and Interoperability Improvements in departmental data quality - scores, completeness, and consistency. Increased interoperability between internal and cross government systems, enabling more efficient service delivery. Robust, Scalable Data Architecture for New Services New digital services and transformation projects implement approved data patterns, meeting architectural and compliance requirements. Data platforms are scalable, secure, and aligned with the department's enterprise architecture . Strong Governance and Reduced Risk Reduced data-related risks through strong architecture assurance, improved governance, and adherence to privacy and security policies. Clear data ownership and stewardship embedded across business areas. Strategic Value from Data Data is used effectively to inform strategic planning, operational reporting, and advanced analytics. Stakeholders recognise the Data Architecture function as a trusted, enabling partner. Person specification Our successful candidate will demonstrate the following. Extensive experience working as a Data Architect within large or complex organisations, contributing to multi team or multi programme delivery working from early discovery through to live services, supporting projects and products at different stages of maturity. Experience advising senior stakeholders, influencing design decisions, and balancing trade offs between business needs, cost, risk, and technical constraints. Desirable: Experience delivering data solutions in environments with strong regulatory, privacy, or security requirements (e.g. public sector, health). Person Specification: Method of assessment: A=Application, T=Test, I=Interview, P=Presentation Behaviour Criteria: Leadership (I) Making Effective Decisions (I) Working Together (I) Communicating and Influencing (I) Experience Criteria: Extensive experience working as a Data Architect within large or complex organisations, contributing to multi team or multi programme delivery working from early discovery through to live services, supporting projects and products at different stages of maturity. (A, I) Experience advising senior stakeholders, influencing design decisions, and balancing trade offs between business needs, cost, risk, and technical constraints. (A, I) Desirable: Experience delivering data solutions in environments with strong regulatory, privacy, or security requirements (e.g. public sector, health). (A) Technical Criteria: Strong understanding of data modelling techniques (conceptual, logical, physical) and how they are applied to enterprise and solution architectures. (A) Knowledge of common integration patterns, including APIs, messaging, batch and event driven data flows, and how these support interoperability (A) Understanding of data governance principles, including metadata, lineage, data quality, ownership, and lifecycle management. (A, P) Knowledge of modern data platform components (e.g. cloud data services, data lakes/warehouses, MDM, analytics layers) and how they fit together architecturally. (A, P) Desirable Knowledge of FHIR and HL7 standards. (A) Degree level or a minimum of 3 years of professional experience. (A)

Lead PHP Developer - PHP Laravel/Symfony/CodeIgniter; HTML, CSS, SQL/MySQL, AWS inc AI Search; Javascript Vue, React; Full Stack/Full Lice Cycle, Professional Services/Finance Systems. Permanent, London (Hybrid 2/3), £130k - £150k (On Experience) +Benefits Lead PHP Developer / Senior Web Developer / Team Lead required by global professional services company. Working on both internal systems integrating with 3rd party systems as well as customer facing web-based systems built in PHP and associated frameworks, you will lead development initiatives within the full life cycle. Working with an internationally dispersed team the Lead PHP Developer / Senior Web Developer will: Work with both Project Managers and Data Scientists to define, manage and deliver projects Play a lead role in the architecture and design of web-based systems Develop code within the full life cycle: Development>Testing>Deployment>Refactor Develop integrations with internal and external system via APIs Undertake code reviews across PHP, Laravel, Symfony, CodeIgniter, Go/Golang (to a lesser degree), SQL/MySQL, HTML, CSS and Javascript (inc React and Vue) Architect, build, and deploy scalable, cloud-native, AI-powered data-driven products in AWS Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines Lead and develop team members across software, data, platform, and AI We are open to applications from across industry and varying levels of experience in terms of leadership and project delivery; any experience working within Agile/Scrum would be beneficial. You will however: Possess Senior level, hands-on PHP development experience with both raw OOPHP and at least one main contemporary framework such as Laravel/Symfony, CodeIgniter etc Work within the full stack of web development inc PHP, Javascript, HTML, CSS Be confident in use of various Javascript Frameworks inc Vue, React (or others) Possess strong database design skills for web-based systems utilising SQL/MySQL Be comfortable deploying enterprise applications within the AWS environment Apply microservices architecture, database design, and rigorous security standards Possess experience working with internal AI platforms as well as (ideally) AWS AI Search Demonstrate experience working within the full life cycle from design to delivery Be capable of leading diverse teams across development, DevOps, AI, Data Science This is an excellent opportunity to join a business at an exciting time of international development and play a key role in the future of its core business systems. Excellent benefits and flexible Hybrid (2 days in office) working conditions offered.

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.

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 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

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.

Your new company Join a fast-growing software business headquartered in Guildford, specialising in cutting-edge client engagement solutions. With a strong international presence and a culture built around agility, innovation, and rapid iteration, this tech-driven organisation thrives on moving fast, learning quickly, and pivoting when needed. As they continue to scale, they're investing heavily in data and AI to drive smarter decision-making and product innovation. Your new role As Lead Data Scientist, you'll take ownership of a small but growing data team, currently consisting of two Analysts and one Data Scientist. Reporting directly to the CTO, you'll be responsible for shaping the data science strategy, implementing scalable processes, and delivering impactful insights across the business. You'll work hands-on with machine learning, AI, and LLMs to solve complex problems, while also mentoring your team and engaging with senior stakeholders to align data initiatives with business goals. What you'll need to succeed Proven experience in a senior or lead data science role Strong hands-on skills in Python and SQL Solid experience with Machine Learning, AI, and Large Language Models (LLMs) Previous people management experience (ideally managing Analysts/Data Scientists) Ability to implement and improve data science processes and workflows Excellent stakeholder management and communication skills Experience working in a fast-paced, agile tech environment Must be UK-based and eligible to work without sponsorship What you'll get in return Up to 110,000 base salary Performance and company-wide bonus Private healthcare Pension scheme Opportunity to shape a growing data function in a high-growth tech business Fully remote role with occasional visits to the Guildford HQ What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

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 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. • 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.

Your new company Join a fast-growing software business headquartered in Guildford, specialising in cutting-edge client engagement solutions. With a strong international presence and a culture built around agility, innovation, and rapid iteration, this tech-driven organisation thrives on moving fast, learning quickly, and pivoting when needed. As they continue to scale, they're investing heavily in data and AI to drive smarter decision-making and product innovation. Your new role As Lead Data Scientist, you'll take ownership of a small but growing data team, currently consisting of two Analysts and one Data Scientist. Reporting directly to the CTO, you'll be responsible for shaping the data science strategy, implementing scalable processes, and delivering impactful insights across the business. You'll work hands-on with machine learning, AI, and LLMs to solve complex problems, while also mentoring your team and engaging with senior stakeholders to align data initiatives with business goals. What you'll need to succeed Proven experience in a senior or lead data science role Strong hands-on skills in Python and SQL Solid experience with Machine Learning, AI, and Large Language Models (LLMs) Previous people management experience (ideally managing Analysts/Data Scientists) Ability to implement and improve data science processes and workflows Excellent stakeholder management and communication skills Experience working in a fast-paced, agile tech environment Must be UK-based and eligible to work without sponsorship What you'll get in return Up to £110,000 base salary Performance and company-wide bonus Private healthcare Pension scheme Opportunity to shape a growing data function in a high-growth tech business Fully remote role with occasional visits to the Guildford HQ 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

Purpose of the Job: Design, build, and maintain robust data systems and pipelines that support data storage, processing, and analysis on the Cloud. Work with large datasets, ensuring data quality, scalability, and performance, while collaborating. closely with data scientists, analysts, and other engineering teams to understand their data needs and provide them with high-quality, accessible data. They are responsible for ensuring that the underlying data infrastructure supports the organizations broader data and business goals, enabling more effective data-driven decision-making. Key Accountabilities: Design and implement scalable, efficient, and secure data architectures, ensuring optimal data flow across systems in order to achieve high service levels of support, maintenance and development You will own development and change projects to ensure requirements are met in the most cost-effective manner while minimising associated risk to expected standards. Responsibly for cloud data platform development, data modelling, shaping and technical planning You will be a mentor among the owning decision making and evaluation of requirement suitability, facilitate reliable estimates, technical project management, stakeholder management with a project Ensure that resource requirements are understood and planned/estimated effectively against demand, including identification of additional temporary resource capability within projects Maintain appropriate process procedures, compliance and service level monitoring, performance reporting and vendor management. Implementing best practices around data security, privacy, and compliance for the teams compliance with cyber security and data protection and supporting along with BI lead Strong stakeholder management will be required for maintaining relationships with our business users to clarify and influence requirements. Including liaising with internal business departments and functions to manage the service level expected from the data team. Collaborating with external organisations and third-party software/service suppliers for ongoing support, maintenance and development of systems. You will be able to demonstrate you are quality focused to ensure that they solutions are built to an appropriate standard whilst being balanced with a drive to deliver against tight deadlines. Support in developing and implementing best practices and process across the team along with BI lead. Influence the evolution of business and system requirements and contribute to the design of technical solutions to feed a delivery pipeline that increasingly employs Agile methods such as SCRUM and Kanban You will be required to develop unit tested code and then support test cycles including post implementation validation. You will be required to contribute to the transition into service and ongoing support of the applications in the area which provides the opportunity to reduce technical debt and rationalise our technical footprint Mentor data engineers, supporting their professional growth and development Outcome, Results and Key Performance Indicators: Delivery of projects to expected timely, cost and quality standards Excellent levels of application availability and resilience as required by business operations. Necessary governance and control requirements defined - design, code and test standards and guidelines. Ensure data systems comply with necessary governance and control requirements. Internally-developed data solutions are fit for purpose and fit correctly within the data architecture. Built and tested to user requirements, performing to defined performance and capacity requirements. Company data is secure, accurate, maintained and available according to requirements. Technical risks and issues correctly mitigated and managed on Projects and Production support. High quality software delivered in to production - zero critical and high defects before production release. Dimensions of Job: This role is part of a well-established data team, the role offers a great opportunity for the right candidate to hone their modern data management skills in a friendly and supportive environment. This role requires attendance to a Leeds based office as often as needed with a minimum 2 days a week. Able to work effectively as part of a remote team. A great opportunity for a motivated data engineer seeking a new opportunity with a friendly, newly formed data team and able to contribute to the team's growth with their technical expertise Key Relationships: Internal: Wider technical teams (including apps, test, dev ops and more), Project managers, business SME's, data teams and communities , Data scientists, BI Lead, Head of Data External: software & service suppliers, consultants. Knowledge and Skills: Knowledge - Broad data management technical knowledge so as to be able to work across full data cycle. - Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD - Coding experience in Apache Spark, Iceberg or Python (Pandas) - Experience in change and release management. - Experience in Database Warehouse design and data modelling - Experience managing Data Migration projects. - Cloud data platform development and deployment. - Experience of performance tuning in a variery of database settings. - Experience of Infrastructure as code practises. - Proven ability to organise and produce work within deadlines. Skills - Good project and people management skills. - Excellent data development skills. - Excellent data manipulation and analysis skills using a variety of tools including SQL, Phyton, AWS services and the MSBI stack. - Ability to prioritise and be flexible to change those priorities at short notice. - Commercial acumen. - Able to demonstrate a practical approach to problem solving. - Able to provide appropriate and understandable data to a wide ranging audience. - Well-developed and professional communication skills. - Strong analytical skills - ability to create models and analyse data in order to solve complex problems or reinforce commercial decisions. - Able to understand business processes and how this is achieved/influenced by technology. - Must be able to work as part of a collaborative team to solve problems and assist other colleagues. - Ability to learn new technologies, programs and procedures. Technical Essentials: - Expertise across data warehouse and ETL/ ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice to have) - Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. - Experience is building Data lake and building CI/CD data pipelines - A candidate is expected to understand and can demonstrate experience across the delivery lifecycle and understand both Agile and Waterfall methods and when to apply these. Experience: This position requires several years of practical experience in a similar environment. We require a good balance of technical and personal/softer skills so successful candidates can be fully effective immediately. - Proven experience in developing, delivering and maintaining tactical and enterprise data management solutions. - Proven experience in delivering data solutions using cloud platform tools. - Proven experience in assessing the impact of proposed changes on production solutions. - Proven experience in managing and developing a team of technical experts to deliver business outcomes and meet performance criteria. - Exposure to Energy markets, Energy Supply industry sector - Developing and implementing operational processes and procedures.

The Liberty Recruitment Group is excited to be working in partnership with a leading Tech-enabled Analytics Consultancy based in London, who are looking for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your key focus will be: Leading the design and development of new product features, providing a holistic approach to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering data-intensive application experience Python Azure PaaS / SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: It s an entrepreneurial environment pushing the boundaries, harnessing technology to enable more efficient analytics. A true people-first employer where you ll be supported to learn and develop your skills in a collaborative, innovative environment. Hybrid working (2 days a week in their London office), discretionary bonus, enhanced pension, private medical insurance, superb wellbeing services and much more

Head of AI & Machine Learning London (Hybrid - 2 days on-site) £180,000 base + equity + bonus The Opportunity I'm working with one of the UK's most exciting AI scale-ups, a forward-thinking business that's just secured a significant Series B funding round. They're building cutting-edge, applied AI technology that's already making a real impact across industries, and now they're looking for a Head of AI & Machine Learning to lead the next stage of growth. This is a chance to step into a senior leadership role where you'll shape the entire AI strategy and grow and inspire a high-performing team The Role As Head of AI & Machine Learning, you'll sit on the senior leadership team and play a pivotal role in setting the technical direction of the company. This role blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide research and development of advanced machine learning and generative AI solutions. Partner with product and engineering teams to deliver AI-driven features into a rapidly scaling platform. Keep the company ahead of the curve on emerging AI trends and represent them externally as a thought leader. What They're Looking For A proven leader with experience heading up AI/ML teams in a high-growth tech environment. Deep technical expertise across machine learning, deep learning, and ideally generative AI. Strong ability to combine strategy with execution, from setting vision to delivering production-grade AI systems. Excellent stakeholder skills, with experience working closely with product and engineering leaders. A passion for building teams, driving innovation, and scaling applied AI solutions. What's available £180k+ salary with equity upside. Backed by top-tier investors, huge runway for growth. A platform with global ambitions, scaling fast. Hybrid flexibility (2 days a week in central London). RSG Plc is acting as an Employment Agency in relation to this vacancy.

Senior Data Engineer (Python AWS Data Lake) London / WFH to £80k Are you a data technologist with fluent Python coding skills who enjoys working with and continually learning new technologies? You could be progressing your career in a senior, hands-on role at a "Tech for Good" company that is enabling life changing education to be accessed by millions of students across the globe (currently 22 countries and growing). As a Data Engineer you'll help to design, build and operate the data pipelines and data services that power learning experiences. Collaborating with software engineers, data scientists and product managers, you will grow your expertise while contributing to systems that need to process 25-35,000 messages per second to support the learning experiences as well as reporting and analytics requirements across the business as it scales to 10's of millions of students. Typically you'll be developing and maintaining reliable data pipelines for both real-time streaming and batch workloads, assisting with the evolution of the Lakehouse, collaborating with analytics, product and machine learning teams to make data accessible, trust worthy and reusable. You'll be encouraged to contribute ideas and investigate new and emerging technologies. Location / WFH: You'll join the team in London four days a week with flexibility to work from home once a week. About you: You have experience as a Data Engineer, working on scalable systems You have Python coding skills You have experience with at least one streaming technology, Kafka preferred You have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch / streaming ETL / ELT patterns You're collaborative and pragmatic with great communication skills What's in it for you: As a Senior Data Engineer you will receive a competitive package: Salary to £80k 25 days holiday Private medical insurance Training and certifications Perks such as restaurant and retail discounts Apply now to find out more about this Senior Data Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Job Title: Pega CDH Senior Decisioning Architect - Pega Certified Decisioning Consultant (PCDC) Location: Sheffield/Birmingham, UK (3Days/Week Onsite) Duration: 6months+ 600GBP/Day Inside IR35 Role Summary: The Senior Pega Decisioning Architect is a hands-on, strategic role responsible for designing, building, and optimizing the decisioning framework within the Pega platform, with a strong focus on the Pega Customer Decision Hub (CDH). This individual will be a subject matter expert who can translate business goals into scalable and efficient decisioning strategies, while also performing the practical configuration and implementation of those solutions. Key Responsibilities: 1. Strategic Design & Architecture (Decisioning Vision): * Architecting Decision Strategies: Design and establish the architecture for complex decisioning strategies using Pega CDH, including Next-Best-Action (NBA) frameworks, Real Time containers, and adaptive models. * Business to Technical Translation: Collaborate with business stakeholders, product owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks. * Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to optimize customer interactions across various channels. * Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the decisioning engine. 2. Hands-on Configuration & Implementation (Technical Execution): * Decisioning Artifacts: Be responsible for the end-to-end build, unit testing, and deployment of Pega decisioning artifacts, such as strategies, propositions, treatments, actions, and contact policies. * Next-Best-Action Designer: Implement and configure rules within the Next-Best-Action Designer, including configuring arbitration, taxonomy, and strategies. * Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models. * Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance tuning, simulation testing, and validation of decisioning logic. Debug and troubleshoot the NBA framework and associated components. 3. Leadership & Collaboration: * Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring adherence to Pega best practices and architecture standards. * Cross-Functional Collaboration: Serve as a key liaison between business stakeholders, technical leads, and QA teams to ensure alignment and clear communication throughout the project life cycle. * Code Review & Governance: Perform code and design reviews to ensure the quality and maintainability of the Pega solution. Ensure compliance with enterprise architecture standards and governance. * Documentation: Maintain comprehensive documentation of requirements, design decisions, and business processes related to the decisioning framework. Required Qualifications & Skills: * Pega Experience: 5+ years of hands-on experience in Pega, with a strong specialization in Pega Decisioning. * Core Decisioning Expertise: Deep, hands-on experience with Pega CDH, Next-Best-Action Designer, Pega AI, and related concepts. Technical Proficiency: . Experience with Pega Platform versions 8.x and above. . Proficiency in configuring strategies, propositions, treatments, and channels. . Strong knowledge of Pega's data model, data flows, and integration capabilities (eg, REST, SOAP). Certifications (Highly Preferred): . Pega Certified Decisioning Consultant (PCDC) is essential. . Pega Certified Lead Decisioning Architect certification would be a significant advantage. Soft Skills: . Exceptional communication and stakeholder management skills. . Strong analytical and problem-solving abilities. . Ability to work both independently and lead a team in an Agile environment. Domain Knowledge: Experience in industries that heavily use Real Time personalization, such as financial services, telecommunications, or marketing, is highly desirable.