57 jobs found

Senior Data Consultant 60k - 90k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you passionate about helping organisations unlock the power of trusted data and AI? Do you enjoy solving complex business challenges, influencing senior stakeholders and shaping data strategies that deliver real impact? This is your opportunity to join a leading global technology consulting organisation at the forefront of Data, Analytics and AI. Working with high-profile clients across a range of industries, you'll help design the data foundations that power AI, advanced analytics and intelligent business transformation. Whether you're an experienced Consultant ready for your next challenge or a Senior Consultant looking to lead strategic engagements, this is a fantastic opportunity to work on cutting-edge projects while developing your expertise in one of the fastest-growing areas of technology consulting. What you'll be doing As a trusted advisor, you'll help clients build robust data management capabilities that enable innovation, responsible AI and better business decisions. You'll: Advise clients on data management, governance and AI strategies, helping shape vision, roadmaps and business cases that maximise the value of data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. Work closely with architects, engineers, developers and data scientists to embed governance, quality and compliance into modern data platforms and AI solutions. Support the delivery of trusted, ethical and compliant AI through strong data foundations and governance practices. At Senior Consultant level, lead workstreams, mentor colleagues, contribute to thought leadership and support business development activities including proposals, bids and client presentations. What we're looking for You'll bring a blend of consulting expertise, technical knowledge and stakeholder management skills, including: Proven experience designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform, such as Informatica, Collibra, Alation, Ataccama or Microsoft Purview. Experience defining and embedding data stewardship models, governance processes and operating frameworks. Strong communication, consulting and stakeholder management skills, with the ability to influence both technical and non-technical audiences. A collaborative mindset with excellent problem-solving abilities and a genuine interest in AI, emerging technologies and data-driven transformation. Desirable: Experience with AI governance, Responsible AI, AI data preparation, model lifecycle management, bias detection, explainability or the DAMA DMBOK framework. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Management Consultant, Data Governance Consultant, Senior Data Consultant, Data Strategy Consultant, Master Data Management (MDM) Consultant, Data Governance Lead, Data Architect, Enterprise Data Architect, Data Engineer, Information Management Consultant, Metadata Specialist, Data Quality Consultant, Data Stewardship Lead, Microsoft Purview, Collibra, Informatica, Alation, Ataccama, DAMA DMBOK, AI Governance, Responsible AI, Data Lineage, Metadata Management, Data Catalogue, Data Quality, Master Data Management. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making. This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders. The Role As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement. What You'll Be Doing Designing and developing enterprise AI and Machine Learning solutions Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications Developing intelligent reporting, recommendation and forecasting solutions Working with Large Language Models (LLMs) and foundation models Deploying production-ready machine learning models into cloud environments Building APIs and microservices to integrate AI capabilities into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders

Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

We re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Senior Software Engineer 2 you will be a core contributor to delivering our products and solutions, with the opportunity to lead projects end-to-end. You'll set the bar for engineering excellence, mentor those around you, and step into line management as the team grows. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. Responsibilities Key contributor to the development, testing and maintenance of Lab projects, products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring and other methods to support other engineers and champion best practices. Troubleshoot technical, data and integration issues arising during development and deployment. Drive the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders. Take on a Technical Lead role when necessary, leading a team of engineers to deliver excellent results within agreed timescales. Take on Line Manager duties when necessary, with regular syncs to provide advice, mentoring, pastoral care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices and comfortable with producing clean, maintainable, well-tested code. Comfortable with code review and giving clear, actionable, constructive feedback to others. Highly effective when working in a remote-first, iterative agile environment. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.

Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.

Location : London Area, UK ( Hybrid - 3 days onsite ) Employment Type : Permanent Salary: Up to £73,000 + Benefits A leading global technology organisation is looking for a Senior Data Scientist - Generative AI to join its growing AI & Data team. Working within a highly collaborative environment, you'll design, build and deploy enterprise-scale Machine Learning and Generative AI solutions, helping shape the organisation's AI strategy while delivering innovative solutions into production. Responsibilities Design and develop Machine Learning and Generative AI solutions. Build Agentic AI and LLM-powered applications. Develop RAG, semantic search and intelligent automation solutions. Build predictive and optimisation models using modern ML techniques. Collaborate with engineering and business teams to deliver scalable AI solutions. Apply MLOps best practices including CI/CD, deployment and monitoring. Mentor junior team members and contribute to technical design decisions. Essential Skills Python & SQL Databricks & Apache Spark Agentic AI/AI Agents Generative AI & LLMs RAG, Embeddings & Vector Search NLP MLflow/MLOps Experience deploying AI solutions into production Nice to Have Microsoft Fabric Azure AI Services Azure Machine Learning LangChain or LangGraph If you are interested, please APPLY .

Research Associate in Topological Data Analysis for Cell Biology SALARY: From £39,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 2 Year Fixed Term Contract (with the possibility of extension) The Role The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. This is an exciting research opportunity to join the VirtuAI Cell project which aims to develop a virtual mapping of intracellular contents of biological cells. This leads to the ultimate goal of running in-silico cell simulations that use such mappings to model how the dynamics of intracellular contents may modulate in response to various types of cell disturbances; e.g., due to the injection of a drug molecule; or the intracellular growth of cancer promoting mutations, the checking of which one could model to predict new routes towards preventative cancer. The Research Associate will develop and apply persistent homology to automatically classify cellular structure in experimental 2-D microscopy and 3-D tomography data, to help build a virtual mapping of biological cells. The role-holder will use persistent homology to represent and classify biomedical structure and explore how such structural representations can track over multi-scale image resolutions. The work may also involve applying topological data analysis (TDA) to assist with the design, construction and deployment of new feature engineering and optimisation strategies for the machine-learning (ML) modelling of cellular data. More generally, this role offers a great opportunity for an expert in persistent homology to become a valued member of a highly interdisciplinary, challenge-focused project team that aims to solve a global research challenge. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Key Responsibilities As a Research Associate, you will: Employ persistent homology to represent and classify structures in cell biology, using experimental data from 2-D microscopy images and 3-D tomograms Analyse and interpret results from persistent homology in liaison with experts in cell biology Apply persistent homology to track structural representations of biocellular species over multi-scale image resolutions Use persistent homology to track structural representations of biocellular species over time Curate large volumes of simulated data to help develop persistent homology for cell biology Apply TDA to assist ML modellers with the feature engineering and optimisation of cellular data Create data representations using TDA to help make more efficient ML models for cell biology Perform or supervise data annotation for training and evaluation purposes where necessary Plan data acquisitions with experimentalists who conduct them, analyse and interpret results and supervise delivery of outputs (e.g. research report, patent application) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 30th August 2026.

Data Scientist (AI & Conversational Analytics) Hybrid - 1 day per week in office A leading global organisation is seeking an experienced Data Scientist to help shape the future of enterprise analytics and AI-enabled decision making. This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability. Key Responsibilities Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms. Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership. Establish best practices, standards, and governance frameworks for responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable). Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions. Deep understanding of data governance, data quality, statistical validation, and AI risk management. Comfortable operating in evolving environments where you can shape direction and define solutions. Desirable Experience Microsoft Copilot, Azure OpenAI, or similar AI platforms. Retrieval-Augmented Generation (RAG) and semantic grounding techniques. Executive-level analytics solutions and trusted AI implementations. Highly regulated or data-governed environments. What We Offer Opportunity to influence enterprise-wide AI and analytics strategy. Exposure to executive stakeholders and high-impact business initiatives. A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. Hybrid working with flexibility and a strong commitment to professional development. Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount. Apply now to avoid disappointment! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

Senior Data Engineer Competitive Salary + 20% Bonus + Excellent Benefits London - Hybrid - 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 AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

DV Cleared Data Science Specialist (AI & Machine Learning) Location: Cheltenham, Ipswich, or Manchester (100% On-site) Salary: Up to 100,000 + 10% Bonus Working Pattern: Full-Time (37.5 hours per week, Monday-Friday) Security Clearance: Active DV Clearance (10+ years UK residency required) About the Role We are seeking a Data Science Specialist to join a premier technology and defence practice. Sitting within a specialist team, this strategic and technical leadership role is responsible for maturing internal data science capabilities and maximizing the value of complex datasets across critical platforms. Leading an agile team of 6 data scientists, you will combine hands-on delivery with strategic influence, identifying high-impact opportunities, building custom AI/ML models, and championing emerging technologies to solve complex customer challenges. Key Responsibilities Team Leadership & Line Management: Direct line management and technical leadership for a team of 6 data scientists across multiple agile projects. Advanced Data Exploitation: Drive the exploitation of complex data sets on critical customer platforms to deliver actionable outcomes. AI & Algorithm Development: Coordinate the design, build, and implementation of custom data models, intelligent algorithms, and machine learning solutions. Mentorship & Capability Building: Act as a senior technical authority to upskill and mentor team members in data science and AI practices. Essential Skills & Experience Programming & Scripting: Expert-level skills in interpreted and compiled languages (Python, Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing project delivery, and operating independently with an innovation-focused mindset. Package & Benefits Competitive salary up to 100,000 5,000 per annum DV allowance (payable monthly while holding active clearance in role) Up to 10% target annual bonus Market-leading pension scheme 25 days annual leave + bank holidays Rates depend on experience and client requirements

Postdoctoral Researcher in Quantitative Cell Biology/Biochemistry SALARY: From £39,500 per annum (depending on skills and experience) + Benefits JOB TYPE: Full-Time, 18 Months Fixed-Term Contract (with the possibility of extension) LOCATION: Didcot, Oxfordshire The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. If you are a creative scientist who would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in the epithelial tissue and glycobiology. We use super-resolution STED microscopy, CryoET, in combination with biophysics and chemical biology, to uncover how epithelial cells organise in space and time under different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue function. As a Postdoctoral Researcher at the Rosalind Franklin Institute, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy analysis. We are looking for a colleague with strong organisational and communication skills, with demonstrated laboratory experience. Experience in formulating research questions and devising strategies to address these questions would aid the individual selected for this role. We expect you to lead publications, contribute to research grant writing, collaborate with other members of the lab towards knowledge advancement. This post would be ideal for a candidate who has developed a strong background in imaging quantitative biology, biophysics or in vitro reconstitution and would like to lead a project developing novel imaging tools to understand different biomolecules of cell-cell interfaces and who would like to gain further experience in cutting edge techniques including super-resolution imaging, condensate biology and CryoET. Key Responsibilities Your primary task will be to lead a project on quantitative cell biology of cell interfaces. You will develop novel tools to visualise biomolecules (lipids, glycans, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based on super-resolution fluorescence and CryoET and will need to analyse data. We encourage applicants with a broad experimental-analytical interest, as the job holder will contribute both to the development of new methods and their application to investigate the organisation and dynamics of cell interfaces. As a Postdoctoral Researcher, you will also: Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research reports, patent applications) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around key Franklin's Challenges. Lead major contributions to research outputs including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to your own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchange of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Franklin's Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 23rd August 2026. Interviews are planned for w/c 14th September 2026. Key Words Postdoctoral Research Associate, Postdoctoral Research Scientist, Research Fellow, Research Associate, Postdoctoral Scientist, Cell Biology Researcher, Biochemistry Researcher, Biophysics Researcher, Quantitative Cell Biology Researcher, Bioimaging

Director of Financial Crime Redefine how financial crime is prevented - through data, automation, and AI. A high-growth digital banking platform undergoing a multi-million-pound technology transformation is seeking a Director of Financial Crime & Innovation. This is a unique opportunity to build and lead a next-generation, tech-enabled financial crime framework at the forefront of FinTech innovation. You ll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What You ll Do: Lead the 1st Line Financial Crime function with a vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all lines of defence. Champion continuous improvement across KYC, transaction monitoring, fraud, and investigations. What You Bring: Strong leadership experience in financial crime within regulated environments digital banking, payments, lending, insurance, or gaming. Deep subject matter expertise in AML, CTF, sanctions, and fraud. High technical fluency; confident working with engineers, data scientists, and product owners. Experience delivering transformation or operating model change in risk or compliance. Gravitas to influence at senior levels and collaborate cross-functionally. What s On Offer: Hybrid working Generous holiday allowance, birthday leave, and well-being days Access to cutting-edge tools and a passionate, mission-driven team If you're ready to shape the future of financial crime prevention driving innovation while protecting customers at scale apply now to take the next step in your leadership journey. Director of Financial Crime

Senior Data Scientist - Insurance & Machine Learning & Pricing Analytics Our client, a leading London Market insurer, is seeking a Senior Data Scientist to join their growing Data Science function. Following significant investment and increased adoption of data science across the business, this role offers the opportunity to work on a range of high-impact machine learning and analytics initiatives that are influencing business strategy and underwriting performance. Reporting directly to the Data Science Manager, you will join a close-knit team of data science professionals and play a key role in shaping and delivering advanced analytical solutions across the organisation. This is an excellent opportunity for an experienced Data Scientist looking to step into a senior-level position within a business where data science has genuine visibility and support from senior stakeholders. This is a permanent role paying up to £92,000 and requires 3 days per week in the London office. Experience Required: Demonstratable years' experience in a Data Scientist position, with the ability to operate at Senior Data Scientist level Strong Python development skills with experience building and deploying machine learning solutions Experience working with MLOps frameworks and best practices Strong understanding of CI/CD principles and deployment processes Experience developing, tuning, testing, and optimising machine learning models Good understanding of model validation, experimentation, and performance measurement techniques Insurance industry experience is essential Exposure to actuarial modelling and pricing optimisation within insurance is highly desirable and close to essential Excellent communication and stakeholder management skills with the ability to engage effectively with both technical and non-technical audiences A collaborative, hardworking, and pragmatic approach to problem-solving Desirable Skills: Experience with Databricks or similar modern data platforms Exposure to pricing, underwriting, or actuarial analytics within the insurance sector If you feel you have the right skill set to take on this opportunity, please apply. Successful candidates will be contacted within 2 working days. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. William Alexander Diversity & Inclusion Policy actively promotes the principles of equality, diversity, and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors, and the public. We fully believe an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all, and we approach recruitment for our clients with the same perspective and qualities. Senior Data Scientist - Insurance, Machine Learning & Pricing Analytics

Job Advertisement: Senior Data Scientist Location: Welwyn Garden City Contract Type: Fixed Term Contract Contract Length: 12 months (6+6) Daily Rate: 550 - 800 per day Inside IR35 Working Pattern: Hybrid About the Role: Are you ready to take your data science career to the next level? Our client is looking for a passionate and hands-on Senior Data Scientist to join their Journey Insights team! In this exciting role, you'll work with both structured and unstructured data, unlocking insights that enhance customer journeys and operational opportunities. What You'll Do: Own the Delivery: Lead end-to-end data science solutions from problem framing to deployment, ensuring your work delivers tangible results. Deep-Dive Analysis: Use hypothesis-driven approaches to uncover customer journey opportunities and translate findings into actionable recommendations. Innovative Solutions: Combine structured datasets with unstructured sources (like text and customer interaction data) to create robust features and predictive models. NLP & GenAI Expertise: Apply traditional NLP techniques and cutting-edge GenAI tools for text classification, summarization, entity extraction, and more. Data Pipelines: Build, validate, and optimise data pipelines and model code, ensuring performance and security. Stakeholder Collaboration: Work closely with stakeholders to define success metrics and turn complex outputs into clear, decision-ready insights. Mentorship: Share best practises and support your team through constructive code and model reviews. Skills and Experience Required: Proven expertise in delivering end-to-end data science solutions that yield practical outcomes. Experience in combining structured and unstructured datasets for modelling and analysis. Strong background in NLP and GenAI techniques, including text classification, summarization, and embeddings. Advanced proficiency in SQL, Python, and PySpark, with a focus on software development best practises. Experience deploying data science models in a cloud environment (Azure preferred). Familiarity with database management (including graph databases) and integrating diverse data sources. Excellent communication skills, with the ability to present complex ideas in a clear, non-technical manner. Desirable Experience: Knowledge of PyTorch, MLflow, DBT, and Databricks AI functions is a plus! About Us: Join a dynamic organisation that values human connection and places customers at the heart of everything they do. Embrace the Agile way of working, where collaboration, innovation, and adaptation are key to meeting customer needs. Why Join Us? Be part of a community that celebrates diversity and inclusivity. Enjoy a blend of remote and office working, fostering creativity and collaboration. Access a range of full-time and part-time working patterns to fit your lifestyle. Ready to Make an Impact? If you're excited about leveraging data to drive meaningful insights and improve customer experiences, we want to hear from you! Apply now to join a vibrant team that thrives on innovation and collaboration. Together, let's create solutions that make a difference! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.

Senior Analytical Chemist £up to c70k + Bonus South, ABJ6748 PERM - ONSITE An exciting opportunity for an experienced Analytical Scientist to join a global Analytical Centre of Excellence supporting the development of innovative analytical capabilities for next-generation products. Working within a multidisciplinary Research & Science environment, you will provide technical leadership in routine and advanced analytical testing, method development and data interpretation, delivering high-quality analytical data to support product development, scientific understanding, regulatory submissions and competitor analysis. This role offers the opportunity to work with state-of-the-art analytical instrumentation whilst collaborating with global scientific teams, external laboratories and academic partners. Key Responsibilities Plan, execute and report routine and advanced analytical testing using approved methodologies and best laboratory practices. Develop, optimise, validate and deploy analytical methods within a quality-controlled laboratory environment, including ISO 17025 standards. Apply expert knowledge across a broad range of analytical techniques including GC-FID, GC-MS, GCxGC, HPLC and HPLC-MS/MS. Operate, calibrate, maintain and troubleshoot sophisticated analytical instrumentation. Deliver accurate, timely and fit-for-purpose analytical data to support product development, lifecycle management and regulatory programmes. Interpret complex analytical datasets using appropriate informatics and data processing tools. Act as the analytical representative within multidisciplinary project teams, collaborating with internal stakeholders and external scientific partners. Produce high-quality technical reports, scientific publications and presentations. Monitor developments in analytical science, identifying opportunities to introduce new technologies and improve analytical capability. Maintain compliance with laboratory quality systems, Environmental, Health & Safety procedures and regulatory requirements. Contribute to project planning, resource management and continuous improvement initiatives across the analytical function. Experience & Skills Required Degree in Chemistry, Analytical Chemistry or a related scientific discipline. Significant industrial experience within an analytical laboratory or research environment. Strong practical knowledge of: GC-FID GC-MS GCxGC HPLC HPLC-MS/MS, Triple quad. Extensive experience in analytical method development, validation and deployment. Experience operating, calibrating, maintaining and troubleshooting advanced analytical instrumentation. Experience working within ISO 17025 accredited and/or GxP compliant laboratories. Experience using analytical informatics and data processing software to analyse and interpret complex datasets. Experience supporting technology transfer and third-party laboratory validation studies. Strong technical communication and stakeholder management abilities. Benefits Competitive salary +bonus + strong pension: Comprehensive benefits package. Ongoing professional development and learning opportunities. Full Time. To Apply: Please contact Alison Basson on (phone number removed) / (phone number removed) or apply for ABJ6748 to

Our client is seeking an experienced Senior Membrane Application Scientist with strong membrane chemistry expertise, analytical capability, and hands-on pilot-scale testing experience. This role focuses on evaluating and developing an advanced membrane technology platform, helping the business understand performance boundaries, technical advantages, and potential applications across customer and industrial process streams. The successful candidate will be a strong chemist with a practical approach to membrane testing, fluid handling systems, and small to medium-sized pilot plants. They will be comfortable designing experiments, interpreting complex datasets, troubleshooting process challenges, and translating findings into clear technical recommendations. Working closely with Innovation, Engineering, Commercial, and customer teams, the successful candidate will support laboratory trials, pilot testing, customer demonstrations, commissioning activities, and technical reporting. The role will involve international travel to support customer trials and represent the business at customer sites globally. Key Roles & Responsibilities Membrane Chemistry & Analytical Testing Design and execute laboratory and pilot-scale test programmes to assess membrane performance across a range of feed streams and operating conditions. Apply strong chemical understanding to investigate membrane selectivity, fouling, cleaning behaviour, stability, and operating limits. Develop and utilise appropriate analytical methods to understand feed chemistry, permeate quality, concentration effects, and overall process performance. Product Testing & Application Development Support the development and validation of the company's advanced membrane technology platform through structured testing and application studies. Help define the capabilities, benefits, and potential applications of the technology across water treatment, industrial separations, resource recovery, and related markets. Pilot Trials & Customer Support Support laboratory, pilot, and field trials at company and customer sites, including international locations. Assist with the setup, operation, troubleshooting, and commissioning of small to medium-sized membrane pilot systems. Project Management & Technical Communication Independently manage assigned projects, test programmes, and customer trial activities with clear priorities, milestones, and timescales. Coordinate activities across internal teams and external partners to ensure projects are delivered safely and effectively. Documentation & Compliance Maintain detailed records of experimental methods, raw data, analysis, conclusions, and project decisions. Ensure all testing and pilot activities are completed in line with company health and safety requirements and relevant site procedures. Candidate Requirements The successful candidate will possess the following skills, behaviours, and experience: BSc, MSc, or PhD in Chemistry, Chemical Engineering, Materials Science, Membrane Science, or a related scientific discipline. Strong chemistry background with excellent analytical and practical problem-solving skills. Experience with membrane separation technologies, water treatment, industrial process chemistry, or related separation processes. Hands-on experience designing, running, and interpreting laboratory or pilot-scale experiments. Practical experience working with process equipment, pilot plants, pumps, pipework, instrumentation, and sampling systems. Ability to analyse complex technical data and translate findings into clear conclusions and recommendations. Strong technical report writing, documentation, and presentation skills. Confident communicating technical information to customers, partners, and internal stakeholders. Ability to manage multiple projects independently in a fast-paced R&D and customer-facing environment. Good understanding of health and safety requirements within laboratory, pilot, and customer-site settings. Willingness to travel internationally to support customer trials, pilot installations, and commissioning activities. Collaborative, flexible, and practical mindset, with the ability to work effectively across Innovation, Engineering, Commercial, and customer-facing teams.