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Join Our Dynamic Client as a Scientific Writer in Pharma! Are you passionate about scientific communication and eager to make a difference in the pharmaceutical industry? We are looking for a talented and enthusiastic Scientific Writer to join our innovative team on a temporary contract! This is your chance to contribute to groundbreaking research and make an impact in the world of healthcare. Location: Remote however you must be based in the UK Contract Length : 12 months Daily Rate : .00 Why Work With Us? At our company, we believe in the power of science and the importance of clear communication. As a Scientific Writer, you will play a vital role in translating complex scientific data into compelling narratives that resonate with diverse audiences. What You'll Do: Collaborate with scientists and researchers to create high-quality scientific documents, including clinical study reports, regulatory submissions, and scientific publications. Craft engaging content that adheres to industry standards and guidelines. Ensure clarity, accuracy, and consistency in all written materials. Stay updated on the latest scientific developments and regulatory requirements. Who You Are: A degree in a relevant scientific field (e.g., Life Sciences, Pharmacy, or a related discipline). Proven experience in scientific writing, preferably within the pharmaceutical industry. Exceptional writing, editing, and proofreading skills. Strong attention to detail and the ability to convey complex information clearly and concisely. A proactive and enthusiastic team player who thrives in a fast-paced environment. Ready to Make an Impact? If you're excited about the opportunity to contribute your skills in scientific writing to a leading pharmaceutical company, we want to hear from you! Join us in our mission to advance healthcare through clear and effective communication. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways, the sky is never the limit. The role Product Change Manager As a Product Change Manager within Operations Delivery Intelligence, you'll work in close partnership with operational leaders to rethink processes, embed data-driven decision-making and deliver operational resilience through data-led solutions. This is a hands-on role at the intersection of product, change and operations. You'll shape product vision and roadmap, translate operational needs into technical delivery, and lead the change management activities required to ensure new decision-support tools are adopted and delivering measurable value. What you'll do Craft the product vision and roadmap for decision-support tools within the Operations Decision Support portfolio Partner closely with operational stakeholders to understand business challenges and identify opportunities for improvement Act as the bridge between operational needs and technical delivery, translating business requirements into clear technical specifications Support prioritisation and delivery of product features, working closely with data scientists and software engineers Design product features and underlying business logic to ensure solutions are practical, usable and impactful Develop and execute change management approaches including communications, training and engagement Produce clear updates and materials to support stakeholder alignment and decision-making Support assessment of business cases and track the value delivered by digital tools Define and track product KPIs to measure adoption, performance and impact Champion a data-led, user-focused approach to operational decision-making, influencing cultural and process change What you'll bring to British Airways Strong hands-on experience working in complex operational or delivery environments Confidence engaging with both operational stakeholders and technical teams Strong analytical and problem-solving skills, able to structure ambiguous problems and develop pragmatic solutions Clear, adaptable communication skills, able to engage audiences from frontline operators to senior leaders Strong stakeholder management capability with a collaborative, collegiate approach Ability to prioritise effectively across multiple workstreams Ownership mindset with the confidence to drive product and change activity independently Delivery-focused, resilient and adaptable approach Your experience Background in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 3-4 years of top tier management consulting or product in MANGO (required) 4-6 years of experience in project / programme management, with demonstrated experience of delivering value at scale in complex org Masters level in management or equivalent industry Experience in relevant business domains (transportation, airlines, operations, network problems) and technical programs What we offer We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

Join Our Dynamic Client as a Scientific Writer in Pharma! Are you passionate about scientific communication and eager to make a difference in the pharmaceutical industry? We are looking for a talented and enthusiastic Scientific Writer to join our innovative team on a temporary contract! This is your chance to contribute to groundbreaking research and make an impact in the world of healthcare. Location: Remote however you must be based in the UK Contract Length : 12 months Daily Rate : £560.00 - £675.00 Why Work With Us? At our company, we believe in the power of science and the importance of clear communication. As a Scientific Writer, you will play a vital role in translating complex scientific data into compelling narratives that resonate with diverse audiences. What You'll Do: Collaborate with scientists and researchers to create high-quality scientific documents, including clinical study reports, regulatory submissions, and scientific publications. Craft engaging content that adheres to industry standards and guidelines. Ensure clarity, accuracy, and consistency in all written materials. Stay updated on the latest scientific developments and regulatory requirements. Who You Are: A degree in a relevant scientific field (eg, Life Sciences, Pharmacy, or a related discipline). Proven experience in scientific writing, preferably within the pharmaceutical industry. Exceptional writing, editing, and proofreading skills. Strong attention to detail and the ability to convey complex information clearly and concisely. A proactive and enthusiastic team player who thrives in a fast-paced environment. Ready to Make an Impact? If you're excited about the opportunity to contribute your skills in scientific writing to a leading pharmaceutical company, we want to hear from you! Join us in our mission to advance healthcare through clear and effective communication. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Senior Scientific Data Scientist / Pipeline Engineer Fully remote but can be hybrid upon request.6 Month Contract likely to extendOutside IR35£450 to £500 per day This is a chance to work on scientifically meaningful software that directly supports real-world discovery. You will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights. The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong emphasis on rigour, reproducibility, and collaboration, they bring together engineers and scientists to solve complex research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. Partner closely with laboratory-based scientists to understand experimental design and data requirements. Improve data structures and analysis readiness across the platform. Contribute to clear documentation and well-engineered, production-ready code. Your Skills & Experience Strong experience using Python for scientific or analytical software development. Proven capability analysing complex, structured experimental or assay-style datasets. Solid understanding of statistical modelling, curve fitting, and data quality control. Experience building end-to-end data or analysis pipelines with a focus on reproducibility. Comfortable using version control and applying sound software engineering practices. Able to communicate clearly with both technical and scientific stakeholders. How to Apply If you feel this role aligns with your skillset and would like to apply, please click the link below

Data Scientist Location: Derby (5 days per week onsite) Reporting to: Head of Research and Experience Department: Services Level: Data Scientist (Junior-Mid Level) Job Overview We are seeking a Data Scientist to join a growing team delivering data-driven solutions across a range of complex and innovative projects. Working alongside experienced data scientists, engineers, and business stakeholders, you will contribute to the development, deployment, and optimisation of machine learning models and analytical solutions. You will gain exposure across the full data science life cycle, including data exploration, feature engineering, model development, validation, and deployment. This role is well suited to someone with a solid foundation in data science who is looking to further develop their technical expertise in a collaborative, fast-paced environment. Key Responsibilities Support the development, testing, and deployment of machine learning models and analytical solutions. Clean, transform, and analyse structured and unstructured datasets from multiple sources. Conduct exploratory data analysis (EDA) to identify trends, patterns, and business insights. Collaborate with data scientists, engineers, and stakeholders to understand requirements and solve business challenges. Create clear documentation, reports, and visualisations for both technical and non-technical audiences. Contribute to code reviews and continuous improvement of data science practices and workflows. Assist with model monitoring, validation, retraining, and performance optimisation activities. Support workshops, demonstrations, and stakeholder presentations where required. Required Skills & Experience Essential 1-3 years of experience in a Data Scientist, Data Analyst, or related analytical role. Strong programming skills in Python and/or R. Experience using machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. Good understanding of statistics, data preparation, feature engineering, and exploratory data analysis. Strong problem-solving skills and the ability to communicate technical concepts effectively. Experience with data visualisation tools and libraries such as Matplotlib, Seaborn, Tableau, or Power BI. Ability to work effectively within a collaborative team environment. Desirable Exposure to cloud platforms such as AWS, Azure, or GCP. Experience writing SQL and working with relational databases. Understanding of model deployment approaches and MLOps concepts. Awareness of AI governance, ethics, bias mitigation, and data privacy principles. Degree qualification in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Additional Information Location: Derby, 5 days per week onsite. Candidates must have the right to work in the UK. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Location : Contracted to the Peterborough office with the flexibility for hybrid working Salary £16,200 - £18,000 (£27,000 - £30,000 FTE) depending on experience Part Time: 22.5 hours per week (0.6 FTE) Benefits : They want all employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring employees are paid fairly, they offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Closing date: Tuesday 23 June 2026 Telephone interviews will be held week commencing 29 June and interviews will be held week commencing 6 July in Peterborough. No agencies please Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with a chronic health condition. Their vision is a future where fewer people are affected and outcomes are significantly improved. The organisation is a leading charity dedicated to funding research into the prevention, treatment and management of disease. They are seeking an enthusiastic, organised and responsible research coordinator to join their dynamic data science team. This is a key role supporting the smooth and efficient operation of a national biobank, helping to facilitate access to data and samples for researchers and supporting the expansion of the biobank into new disease areas. The role will also contribute to strategic initiatives within their growing data science programme. They are looking for a highly organised individual with excellent communication and coordination skills who enjoys working with a wide range of stakeholders, including researchers, clinicians, industry partners and funding applicants. The successful candidate will support meetings, committees and strategic research initiatives, while helping to ensure the effective day-to-day running of the programme. Key responsibilities include: • Providing administrative support to the data science team • Coordinating internal and external meetings and committee activity • Supporting the delivery of strategic research programmes and events • Preparing reports, meeting papers and documentation to a high standard • Maintaining accurate records and databases • Supporting engagement with external stakeholders and collaborators They are particularly interested in candidates with: • Strong organisational and time management skills • Experience coordinating meetings and taking minutes • Excellent written and verbal communication skills • Experience using Microsoft Office and managing multiple priorities • A positive, flexible and collaborative approach • An interest in medical research, healthcare or data science • Understanding of medical or scientific terminology would be advantageous Their values underpin everything they do, and they welcome talented people who want to make change happen and contribute to improving outcomes for people affected by disease. If you are interested in the position, please complete the online application form and submit together with your CV. They are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. About the organisation: The organisation is a leading UK charity focused on funding research into the prevention, treatment and management of disease. For more than 60 years, the research they fund has been making an impact. However, the condition is increasing, as are the factors contributing to it, making their work more essential than ever. They work with clinicians and scientists across the UK, funding and facilitating research into all areas of the condition. They collaborate with partners across the public, private and third sectors to prevent illness and drive innovation to transform treatments. Over the last ten years, they have invested significant funding into research. They also engage with governments and decision makers to influence policy and practice, helping to ensure people living with the condition have access to the most effective care and treatment, and to make it a priority. Most importantly, they work closely with patients, ensuring their voice is heard and is at the centre of everything they do, from deciding which research to invest in to how they plan their priorities and their work across the organisation. Those patient contributions are vital, helping them and their partners to understand lived experiences, ensuring they see the person behind the treatment and reminding them that behind every statistic is an individual the patients and carers who inspire their mission and drive meaningful progress. You may have experience in the following: Research Coordinator, Research Administrator, Clinical Research Coordinator, Research Assistant, Data Coordinator, Programme Coordinator, Project Coordinator, Scientific Administrator, Research Project Officer, Clinical Trials Coordinator, Data Science Coordinator, Healthcare Administrator, Biobank Coordinator, Research Support Officer, Charity, Charities, Third Sector, Not for Profit, NFP, etc. REF-

Staff Data Scientist 120K - 140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details. Staff Data Scientist

We are looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast, ethical, and cost-efficient. You will bridge the gap between Data Science prototypes and enterprise-scale deployment. Key Responsibilities AI Model design and build: Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. AI model Feature Engineering: Integrate structured and unstructured data from internal and external systems into centralized data platforms. Performance Tuning of AI/ models: Optimize data workflows and queries for performance, scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generation pipelines to enhance the knowledge and accuracy of LLMs. Utilizing vector databases for efficient storage and retrieval of embeddings generated by LLMs. rafting effective prompts to elicit desired responses from LLMs. Connecting LLMs and generative models with other systems and APIs to create comprehensive solutions. Communicate findings: Collaborate extensively with data scientists, and business during model development and deployment. Maintain updated documentation with details of all aspects of model development lifecycle. Responsible AI: Build AI systems which are trustworthy and beneficial considering ethical principles such as fairness, transparency, accountability, privacy and reliability. Implement quantifiable metrics detecting bias, explainability and adherence to regulatory compliance. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.

Job Title: Data Scientist Location: Cardiff Salary/Rate: (Apply online only) per day inside IR35 Start Date: June Job Type: Initial 12 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions. Job Responsibilities/Objectives This role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environments. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. Required Skills/Experience The ideal candidate will have the following: Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers. Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Have good understanding of statistical methods applied to data analysis. Have user experience of Cloud capabilities, preferred Databricks. Have user experience of coding languages for data science and machine learning (e.g. Python, R). Have good written communication skills, including the ability to describe statistical results to non-statistical audiences. Experience processing large data sets and matching/merging multiple data sets. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Job title: Senior Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine learning teams to provide insight across the business Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges Use a wide range of data science and statistical techniques Research and leverage new and existing internal and/or external data sources Communicate results to key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience Previous experience within data science Experience in insurance pricing and modelling Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative improvements in a timely fashion Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

We are looking for a biology research scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of biology- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Microbiology, Cell Biology, Genetics, Physiology, Biochemistry, Molecular Biology, Biotechnology, Environmental Science. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities: Give AI chatbots diverse and complex biology problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: A current, in progress, or completed Masters and/or PhD is preferred but not required Fluency in English (native or bilingual level) Detail-oriented Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. Job Types: Full-time, Part-time Pay: From £29.71 per hour Location: Coventry (preferred) Work Location: Remote

Key Responsibilities: Collect, process, and analyse coastal and environmental data to support ongoing projects. Assist in interpreting data trends and producing reports to inform environmental strategies. Collaborate with the Environment & Housing team to ensure accurate data management. Use data tools and software to model coastal processes and contribute to research outputs. Maintain confidentiality and adhere to organisational data protection policies. Support administrative tasks related to data organisation and project documentation. Requirements: Essential: Current undergraduate student (or recent graduate) in data science, environmental science, or a related field. Essential: Strong analytical skills and familiarity with data processing tools (e.g., Excel, Python, R, or similar). Essential: Ability to work collaboratively, with attention to detail and a proactive attitude. Must have: Eligibility to work in the UK Desirable: Interest in coastal or environmental data analysis and basic knowledge of statistical methods. If interested, please submit CV and call Varsha on (phone number removed) between 9am to 5pm (Mon to Fri)

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .