928 jobs found

About the role We have an exciting opportunity for a highly motivated Data Scientist Assistant to join the Oxford Vaccine Group (OVG) as part of the Correlates of Immunity - Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI driven analytics to accelerate vaccine discovery. The postholder will contribute to the data science and computational workstream of the programme, supporting the analysis and integration of complex datasets generated from vaccination studies, natural infection studies, and controlled human infection models. The role will focus on the processing, management, statistical analysis, and visualisation of immunological, clinical, and microbiological data to enable robust downstream interpretation and AI driven discovery. Working within a multidisciplinary team of data scientists, computational biologists, immunologists, and microbiologists, the postholder will develop, maintain, and optimise reproducible data analysis pipelines and databases. The role includes contributing to study planning, data interpretation, and reporting, ensuring analytical outputs are robust, harmonised, and suitable for publication and dissemination. The Data Scientist Assistant will support day to day computational activities within OVG, including workflow development using systems such as Snakemake and Nextflow, bioinformatic and statistical analyses, and the maintenance of clinical trial databases. The postholder will be expected to use version control and collaborative code management platforms (e.g. Git/GitHub) as standard practice for developing reproducible and maintainable analytical workflows. The role requires a self motivated and well organised individual who can communicate effectively with the line manager and wider team to support programme objectives. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. The Oxford Vaccine Group is a world leading academic research group conducting clinical and translational studies to advance vaccine development working with a diverse portfolio funded by industry, government and charitable organisations. This position is offered full time on a fixed term contract initially for 2 years with the possibility to extend provided further external funding is available. About the department The Department of Paediatrics has been honoured with the Athena Swan Gold award, a national gender equality charter, recognising the Department's innovative policies and practices. We are committed to the professional development of our staff by providing up to ten paid days annually for skill enhancement and allowing applications for additional training funding. Joining us offers opportunities to contribute to a forward thinking department. About you You will hold a degree (or be near completion of a higher degree) in Data Science, Statistics, Computing, Bioinformatics, Life Sciences, or a closely related discipline, with sufficient technical knowledge to contribute effectively to an established research programme. You will have demonstrable experience working with complex biological, clinical, or health related datasets and applying statistical or computational methods to support research questions. You will be able to manage your own analytical tasks, deliver high quality outputs to agreed deadlines, and communicate results clearly through written reports, figures, presentations, and contributions to publications. You will have a collaborative approach, with the ability to work effectively within multidisciplinary teams spanning data science, immunology, microbiology, and computational research, and the willingness to develop new skills as required by the programme. Application Process You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Diversity Committed to equality and valuing diversity. Contact To discuss the post in more detail, please contact Professor Daniela Ferreira, using the contact details below. Application Deadline Only online applications received before 12.00 midday on 31 July 2026 will be considered. Interviews will be held as soon as possible thereafter. Salary £35,681 - £41,636 per annum (with a discretionary range to £45,212 per annum) Additional Information Click on the link(s) below to view documents

AE Management Associate - 12 Month FTC City: Kingston upon Hull We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Research & Development In Research and Development, we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within R&D, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role Vigilance is essential to guarantee the ongoing understanding of the profile of adverse events related to the use of Reckitt's medicinal products, medical devices, cosmetics and vitamins, minerals and supplements (VMS). This role is a crucial role since the post-holder is responsible for completing the key tasks in the provision of safety services and vigilance to facilitate and support the ongoing marketing of RECKITT medicinal products, medical devices, cosmetics and VMS. The safety function is a statutory function imposed by external regulators. Your responsibilities AE Management - Associate is accountable overall to the AE Management - Manager, Global PV & Deputy QPPV & Director- Risk Management & Vigilance, European Union (EU) QPPV and Senior Vigilance Manager. AE Management - Associate is directly accountable to, on a day-to-day basis, to the AE Management - Manager. Specific tasks and responsibilities include, but are not limited to: Working with the AE Management - Manager and under the executive guidance from senior management to ensure all responsibilities regarding the processing (triage/entry/coding/evaluation/reporting/admin) of adverse event reports related to Reckitt's medicinal products, medical devices, cosmetics and VMS is to a high standard, completed on time and according to regulations, domestic and foreign reporting requirements, general quality standards, Global Standard Operating Procedures and Reckitt values. Ensuring that all electronic records and paper records and the safety database are managed and maintained accordingly as per Standard Operating Procedure with specific actions taken from the AE Management - Manager. Ensuring that output from the group is of high quality and quality checks completed and in line with relevant industry requirements and Standard Operating Procedures. Ensuring AE Management team requests/queries and tasks, including ad hoc, are completed in a timely manner and according to industry requirements and Standard Operating Procedures. Ensuring the GVG mailbox is monitored and managed on a daily basis (business days). Ensure that DSO in local operating countries receive support as appropriate for the management for safety reports and database requirements. Work with the AE Management - Manager to ensure that the third-party case processors receive documentation as appropriate for case processing. Training and support of third-party case processors members with guidance from the Team Leader. Ensuring that all reports of adverse events related to Reckitt's medicinal products, medical devices, cosmetics and VMS are processed in a timely fashion to ensure safety reports and PSURs are delivered to the appropriate regulatory authority on time and any ad hoc search requirements from the safety database can be delivered to the requester as required. Work with the AE Management - Manager to ensure that the SOP, working documents and other appropriate documentation are updated and current in line with standard operating procedures, industry regulations and direction from the Team Leader and senior management. Focus is allocated subject to business needs at the discretion of the manager. The experience we're looking for RAS experience across product classifications with an understanding of appropriate pharmacovigilance legislation, including but not exclusively the Good Pharmacovigilance Practice (GVP) Good attention to detail; prove ability to quality check and analyse medical and scientific dates including medical coding using regulatory dictionaries. Good communication skills and confidence in representing the functiona externally (audits/inspections with regulatory bodies), and internally (not limited to RAS); maintaning Reckitt's legal obligations and embedding safety requirements and output in all that Reckitt does. The skills for success Business Strategy, Task Execution Under Pressure, Makes strategic Business Decisions, Business accumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Intellectual Property, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing. What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing CO , Artificial Intelligence & Robotics. This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside; Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides; Novel decarbonised plant based production platforms for food and medicines; Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Role We are seeking a detail oriented and proactive Mass Spectrometry Laboratory Technician to provide essential laboratory and experimental support for Mass Spectrometry in the Plant Biology Institute, with a particular focus on LC MS and GC MS workflows. The technician will work closely with a Metabolomics and Mass Spectrometry Scientist, within a broader platform team that provides and continuously develops analytical infrastructure functionalities to researchers pursuing ambitious scientific goals. This role involves hands on responsibility for setting up and conducting mass spectrometry analyses in support of research priorities of the institute, as well as collaborating with researchers across EIT. Furthermore, the post holder will ensure the smooth and efficient operation of mass spectrometry facilities through routine maintenance, calibration, quality control and troubleshooting, and use appropriate protocols to process samples for analysis. The ideal candidate will have experience performing these functions in a fast moving environment, an interest in contributing to commercially sustainable solutions for real life impact and be a detail oriented problem solver. This role offers a unique opportunity to be involved in high impact research at the forefront of plant science, while collaborating across multidisciplinary teams and contribute to innovation from lab to global impact. Responsibilities Perform high quality GC MS and LC MS analyses, selecting and applying appropriate protocols for different sample types. Process and prepare biological samples for mass spectrometry. Acquire, process, manage, and analyse data from MS experiments, using specialised software, appropriate database queries, and bioinformatics tools. Consult with researchers on experimental design, sample processing requirements, analytical approaches, and interpretation of mass spectrometry data. Train users on LC MS and GC MS data acquisition and data analysis. Perform routine instrument maintenance, calibration, quality control, and troubleshooting as needed. Manage supplier relationships, such as organising and attending meetings with representatives or manufacturer engineers and coordinating necessary visits for maintenance and repairs. Maintain accurate experimental records, instrument logs, and documentation in accordance with established SOPs. Ensure compliance with laboratory health and safety procedures and good laboratory practice. Assist with inventory and stock management for mass spectrometry facil

About the Role: We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to innovative projects across various industries. Whether you're early in your career or looking to transition into AI, we offer full training and a supportive environment to help you grow. Flexible and remote working arrangements are available. Key Responsibilities: Design, develop, and deploy machine learning models to solve real-world problems Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into scalable applications Preprocess and analyze large datasets for use in training and evaluation Monitor, maintain, and improve model performance over time Stay current with the latest research and advancements in machine learning and AI technologies Essential Requirements: Familiarity with data preprocessing techniques and data pipelines Strong analytical and problem-solving skills A degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Awareness of AI ethics, fairness, bias mitigation, and emerging regulations around responsible AI Desirable Skills: Experience with cloud platforms (AWS, GCP, Azure) Knowledge of MLOps practices and tools Familiarity with natural language processing or computer vision Strong foundation in Python and machine learning libraries Understanding of key ML algorithms (e.g., regression, classification, clustering, neural networks) What We Offer: A starting salary of £39,000 with regular performance-based reviews Full training and mentorship to support your development in AI and machine learning Clear career progression paths into senior engineering, research, or leadership roles Flexible working with the option to work remotely part time Access to industry standard tools, cloud platforms, and AI research resources A collaborative and inclusive team culture based in Central London How to Apply: If you're ready to take the next step in your AI career, we'd love to hear from you. Submit your CV and a short cover letter outlining your interest in the role and any relevant experience. Company: Tech Recruitment UK Ltd Level of experience (years): Senior (5+ years of experience)

Posted Wednesday 24 June 2026 at 04:00 Expires Tuesday 14 July 2026 at 03:59 We are looking for a highly skilled Data Analytics Engineer to support product analytics, product marketing, customer support, and operational teams. This role enables data-driven decision-making by developing scalable data models and delivering high-quality insights across the business. The position works cross-functionally with engineering, data science, and business stakeholders and plays a key role in ensuring the accessibility, quality, and reliability of data. The successful candidate will become a specialist in our modern data stack, including Snowflake, dbt, Looker, and Hightouch, and will contribute to building a robust analytics capability at scale. In This Role You Will Data Modeling & Engineering Build and maintain scalable data models using dbt and Snowflake Transform raw data into clean, reliable datasets for analysis Apply engineering best practices to analytics code to ensure scalability and maintainability Insight & Business Impact Translate data models into actionable insights for stakeholders across product, marketing, and operations Partner with business teams to define analytics requirements and measurable success outcomes Collaboration & Stakeholder Engagement Work collaboratively with data engineers, data scientists, and business stakeholders Support cross-functional teams by delivering high quality data solutions Data Governance & Quality Maintain data documentation, definitions, and lineage Advocate for and uphold data quality and coding standards through code reviews Tools & Technology Utilise Snowflake, dbt, Looker, Git, and modern data tooling to deliver analytics solutions Core Competencies for Success Collaborates - Builds strong partnerships across technical and business teams to achieve shared outcomes Drives Results - Consistently delivers high quality outputs in a fast paced, data driven environment Ensures Accountability - Takes ownership of data quality, accuracy, and delivery standards Tech Savvy - Adopts and applies modern data technologies to improve efficiency and scalability Manages Complexity - Analyses complex datasets and translates them into clear, actionable insights Credentials and Experience 3+ years of experience in a data analyst, analytics engineer, data engineer, or similar role 2+ years of experience working with product and/or customer data 3+ years of hands on experience writing and optimising SQL for data analysis and transformation Experience using Python, R, or similar tools for data analysis and manipulation 1-3 years of experience working with modern data warehouses and transformation tools (e.g., Snowflake, dbt) Experience transforming raw data into clean, production ready datasets and maintaining technical documentation Experience working with large scale datasets (e.g., high volume event or behavioural data) Exposure to API integrations and data ingestion processes is desirable Demonstrated ability to work effectively in a remote or distributed team environment Legal right to work in the United Kingdom This role is hybrid based in Bath, UK. As the office is a listed building, we do not have a lift so please make us aware so we can make necessary accommodations. The hiring range for this position is between £35,000 - £39,400 annually, however, base pay offered may vary depending on job related knowledge, skills, experience, and location. Additionally, this position is eligible for an Annual Bonus. Benefits 28 days leave plus UK bank holidays Annual Winter Holiday Break (typically the last week of December) Income protection to support you during long term illness 4x salary Life Assurance Medicash cash back plan Private Medical Insurance Vivup cash back and discounted plan for 1000s of high street stores Cycle to work scheme Paid eye test and money towards glasses Numerous Employee Assistance Programs A social committee that helps us team build and celebrate wins Continuing Education AND Tuition Reimbursement Programs for when you choose to study further in your field as you work Mentorship program and collaboration with veteran leaders Constant opportunities for cross functional training and skill building Uncapped career growth Unlimited LinkedIn Learning Leadership training for people mangers Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the communities we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender, protected veteran status or disabled status or, genetic information.

Newcastle, United Kingdom Posted on 07/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Overview: We are seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data-driven decision-making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance standards, advising senior stakeholders, and working across multidisciplinary teams to deliver impactful digital services at scale. Key Responsibilities: Performance Leadership & Strategic Measurement Lead and embed performance analysis across complex services or delivery areas Design and implement performance measurement frameworks, including KPIs and user-focused metrics Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high-quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support teams in designing and iterating services with measurable outcomes Work closely with Product Managers, Delivery Managers, User Researchers, Designers, and Data Scientists Provide guidance on measurement strategies and interpretation of results Support decision-making in complex and ambiguous environments Capability Building & Leadership Coach and mentor analysts, ensuring quality and consistency in outputs Contribute to and lead communities of practice within performance analytics Define and promote standards, tools, and best practices Required Skills & Experience: Extensive experience in performance analysis for digital services, ideally within large-scale or complex environments Strong expertise in designing performance measurement frameworks, KPIs, and user-focused metrics Proven ability to generate insights from multiple data sources and provide data-driven recommendations Strong stakeholder management and influencing skills, including engagement with senior leadership Excellent communication and data storytelling skills Advanced experience with analytical tools such as: SQL Web analytics platforms (e.g., Google Analytics) Dashboarding tools (e.g., Power BI, Looker Studio) Experience working on public sector or government digital services Experience defining performance strategies across multiple teams or programmes Experience mentoring or leading analyst teams Experience working in hybrid or distributed delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.

Research Scientist - Machine Learning for Wearables (Maternal & Digital Health) Location: London Bridge (Hybrid, minimum 3-4 days on site, with regular presence in South East London) Contract: 3-year academic contract with renewal BioTalent has partnered with a leading academic research programme to appoint a Research Scientist focused on machine learning, wearable data, and digital health. This is a genuinely research led role, not a product or engineering position. You'll be working at the intersection of healthcare, AI, and real world data, applying deep learning to large scale, longitudinal datasets to better understand health trajectories and enable personalised interventions. The Opportunity You'll be part of a global research initiative analysing multimodal data from wearable devices and digital biomarkers, with a focus on maternal and early childhood health. The work centres on continuous physiological monitoring, including heart rate, heart rate variability, sleep, activity, and behavioural signals, alongside emerging modalities such as voice biomarkers. This is a rare chance to apply machine learning in a setting where the output directly informs clinical understanding and real world interventions, rather than just model optimisation. What You'll Be Doing Develop predictive machine learning models using multimodal wearable data Work with continuous physiological signals including heart rate, sleep, activity, and energy expenditure Apply deep learning and signal processing techniques to identify patterns and anomalies in longitudinal health data Integrate wearable data with clinical and behavioural markers such as blood pressure, glucose, and gestational metrics Explore emerging approaches such as voice biomarkers to detect physical and mental health signals Validate models for robustness, generalisability, and ethical use across diverse populations Build and maintain reproducible pipelines for data processing and feature engineering Collaborate with clinicians, statisticians, and researchers to ensure outputs are clinically meaningful Contribute to publications, conference presentations, and wider research outputs What They're Looking For PhD in Bioinformatics, Computer Science, Data Science, or a closely related field Strong experience in machine learning or deep learning applied to healthcare or biological data Hands on experience working with wearable or time series physiological data Solid programming skills, typically Python Experience with signal processing, feature extraction, or anomaly detection Track record of academic research, including publications or conference contributions Ability to translate complex modelling outputs into clear, usable insights Nice to have: Experience with digital health, remote monitoring, or real world data Familiarity with maternal health or clinical biomarkers Exposure to multimodal data integration Experience contributing to grant applications or funded research Why This Role Work on one of the most ambitious digital health research programmes globally Apply machine learning to real world clinical problems, not abstract datasets Access to large scale, longitudinal wearable datasets Strong academic environment with opportunities for publication and conference exposure Long term stability within a funded programme, despite academic contract structure

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. We are seeking a Data Scientist to play a central role in transforming raw data into structured, reliable, and scalable datasets within our Data Hub environment. Key Responsibilities Develop systematic data transformation modules to gather, clean, validate, and structure raw datasets. Collaborate closely with Subject Matter Experts (SMEs) and the labeling team, building a solid understanding of domain knowledge and requirements. Support SMEs and the labeling team by providing tools, solutions, and continuous technical feedback to improve annotation workflows. Build scalable, reusable data processing solutions and maintain version control using GitLab. Troubleshoot and diagnose data issues, proactively flagging inconsistencies or risks. Maintain a deep understanding of the Data Hub technology stack and data schemas, staying current with emerging technologies, models, and research. Contribute to broader initiatives related to data integration, feature design, and machine learning. Design and run experiments, iterate based on results, and document and share learnings with the team. Use pre trained ML models, and train or fine tune models on internal datasets with proper evaluation and validation. Communicate regularly with team members, the team lead, and cross functional partners in production and technology to ensure alignment and transparency. Performance Metrics Delivers high quality work on time. Quickly learns and applies new tools, technologies, and concepts. Demonstrates strong understanding of Data Hub systems and workflows. Qualifications & Skills Background in data science or a related field (Master's degree preferred). Proficient in at least one programming language-ideally Python-with experience in common ML libraries. Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs). Comfortable working with relational, NoSQL, and graph databases. Strong data processing skills, including cleaning, filtering, and feature extraction. Clear communicator with strong collaboration and presentation skills. Why Work with Us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme.Flexible Private Medical & Dental care programmes. Sponsorship of visas/comprehensive relocation packages. Bank Holiday Swap - allows you to change it for another day of your choice. Relaxed dress code policy. EEO & Diversity Statement Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Job Summary The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions to our clients. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients' own data stores, processes and workflows. Team Description Data Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will be based in Llandudno, North Wales in a hybrid setting, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. Key Responsibilities Plan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels. Contribute to the development of our data platform infrastructure, including orchestration systems, data processing logic and interactions between system components. Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering. Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc. Influence our choice of architecture and technology. Communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders. Apply best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL), minimizing technical debt and optimizing performance where it matters. Partner with data analysts, data scientists, and other end users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs. Share work and best practices; collaborate with others; ensure alignment to company growth ambitions. Qualifications and Experience Essential experience developing data integrations with geoscience or other scientific data types, particularly in oil and gas and/or mining domains. Previous experience designing, building and maintaining data transformations in a system or product setting. Ability to write secure and performant code in Python and SQL, and to optimize queries and data pipelines. Experience using orchestrators and ETL tools, especially Airflow. Significant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or vector. Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture). Experience with Docker, VCS (git, Gitlab) and knowledge of CI/CD. Enthusiastic attitude towards learning and ability to adapt to new challenges or changes in direction. Preferred: Knowledge of DevOps and DataOps best practices. Preferred: Kubernetes deployment experience. Preferred: Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks. RESTful API / GraphQL. Infrastructure as Code. Previous experience building web applications with wide-ranging knowledge of web frameworks, HTTP, networking, security etc. Why work with us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing - Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme. Flexible Private Medical & Dental care programmes. Bank Holiday Swap - change a holiday for another day of your choice. Relaxed dress code policy. Equal Employment Opportunity We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals. Create a brighter future for yourself while taking on some of the world's most complex geoscience challenges.

Work Type & Model: Hybrid - FTC (Maternity Cover) We are looking for a highly motivated individual to join our UK Applications team for maternity cover as a Genomic Applications Manager. This role will be based in Oxford and the successful candidate will lead and manage a proof-of-concept team. About Oxford Nanopore Technologies Oxford Nanopore Technologies is headquartered at the Oxford Science Park outside Oxford, UK, with satellite offices and a commercial presence in many global locations across the US, APAC, and Europe. Our goal is to enable the analysis of any living thing, by anyone, anywhere. We employ individuals from multiple subject areas, including nanopore science, molecular biology and applications, informatics, engineering, electronics, manufacturing, and commercialisation. Our sequencing platform is the only technology that offers real-time analysis, in fully scalable formats from pocket to population scale. This platform can analyze native DNA or RNA and sequence any length of fragment to achieve short to ultra-long read lengths. We aim to inspire anyone to sequence anything, anywhere. Do you want to be part of that? Role Summary Reporting to the Snr. Director, Genomic Applications, the successful candidate will lead and manage a team responsible for delivering proof-of-concept studies across a range of applied market segments. The team will evaluate the performance of nanopore sequencing in new applications, identify technical or workflow gaps, and provide initial solutions or assessments of how these gaps can be addressed. This role will involve designing and overseeing experimental studies, analysing results, and generating high-quality data packages and presentations to support internal decision making and customer engagement. The successful candidate will work closely with cross-functional teams in Oxford to remain aligned with the latest technology developments and to help assess the suitability of emerging nanopore capabilities for new applications and markets. Other responsibilities include Leading and managing a laboratory-based proof-of-concept team within Genomic Applications Designing and executing proof-of-concept studies to evaluate nanopore sequencing performance in new applied market applications Identifying workflow, assay, or technology gaps and proposing potential solutions or development pathways Supporting the assessment and early-stage development of new sequencing applications using ONT's nanopore platform Preparation and QC of sequencing analytes and libraries for experimental studies Analysing and interpreting experimental data, including basic bioinformatic analysis where appropriate Generating clear summaries, reports, and presentation materials to communicate findings to internal stakeholders Collaborating with internal scientific and product development teams to support application evaluation and technology adoption Managing laboratory activities, supporting team development, and assisting junior scientists with experimental and analytical tasks Contributing to the continuous improvement of laboratory workflows, experimental design, and proof-of-concept evaluation processes What We're Looking For We'll expect you to have undertaken successful experimental research from initial concept through to execution and interpretation. This should include experience with DNA and/or RNA manipulation and preferably next-generation sequencing technologies. You will have strong knowledge of molecular biology techniques and sequencing workflows, including sample preparation, library preparation, and quality control methods. Experience in evaluating new technologies, troubleshooting experimental workflows, and identifying practical solutions to technical challenges would be highly advantageous. You should be comfortable working across multiple projects simultaneously and capable of leading and motivating a scientific team in a fast-paced environment. In addition, you will possess excellent communication and problem-solving skills and be able to clearly present scientific findings to a range of audiences. A PhD in molecular biology, genetics, genomics, microbiology, or a related discipline is required, ideally alongside relevant postdoctoral and/or biotechnology industry experience. This role will suit a proactive, organised, and scientifically curious individual with a collaborative approach and the ability to lead effectively in a dynamic environment. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. About Us Oxford Nanopore Technologies: Our goal is to bring the widest benefits to society through enabling the analysis of anything, by anyone, anywhere. The company has developed a new generation of nanopore-based sensing technology for faster, information rich, accessible and affordable molecular analysis. The first application is DNA/RNA sequencing, and the technology is in development for the analysis of other types of molecules including proteins. The technology is used to understand and characterise the biology of humans and diseases such as cancer, plants, animals, bacteria, viruses, and whole environments. With a thriving culture of ambition and strong innovation goals, Oxford Nanopore is a UK headquartered company with global operations and customers in more than 125 countries. Job Info Job Identification 3101 Job Category Scientific Posting Date 06/24/2026, 02:24 PM Job Schedule Full time Locations Oxford Science Park, OXFORD, OX4 4DQ, GB

Mira, a San Francisco-based company leading in women's hormonal health, is looking for a skilled Data Scientist to help build the algorithmic foundation of their innovative technology. As the first member of the data science function, you will be pivotal in advancing hormone tracking methodologies. This role encompasses defining research agendas, developing algorithms, and translating complex hormonal data into actionable insights for millions of women. Candidates should have deep experience in data science and a passion for improving women's health through technology.

About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it's accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at and follow us on LinkedIn . Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Role: Do you like to solve advanced and complex computer science problems? Do you want to be part of a team that values user success and where you can have intellectually honest discussions? We are looking for an experienced backend engineer who is able to solve technical challenges and deliver high-quality code to join our talented, innovative Kernel team. You will be part of a brilliant, energetic, and fun team of engineers working on the development of the storage engines, transaction handling, indexes, and page cache in order to build the core of the graph database! You will be part of an international team based in Malmö, Sweden, and London. What you will do: Build and ship new features for the core of the leading graph database Write high-quality, testable, and efficient code Promote new ideas, take an active part in features discussions and roadmap prioritization Integrate research and technologies into the database core - the team regularly reads research papers to see if there are some new ideas to incorporate into the product Work closely with our customers and collaborate with other teams "Do what you want weeks" to work on your own product enhancements and integrations You'll thrive in this role if: You have experience designing multi-threaded systems and algorithms You have a deep understanding of system design, data structures, and algorithms You are proficient in Java or a C-style programming language You have strong troubleshooting skills You have knowledge about performance profiling and optimization You have experience with leading and delivering development projects You are humble. Being able to discuss ideas and, challenge each other to build better solutions together You have good communication skills and a sense of humor! You may also have experience and interest in the following: Database management systems Deep JVM experience Experience with large codebases Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers. Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave : Vector Databases, Q3 2024. Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)- :VALUE ->(relationships) (we)- :FOCUS_ON ->(userSuccess) (we)- :THRIVE_IN ->(:Culture type: 'Open', 'Inclusive' ) (we)- :ASSUME ->(:Intent direction:'Positive' ) (we)- :WELCOME ->(:Discussions nature: 'IntellectuallyHonest' ) (we)- :DELIVER_ON ->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at .

Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner Magic Quadrant for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo-all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. What you'll do We are looking for an AI Deployment Strategist to join our growing team. In this role, you will work directly with customers to design, build, and deploy AI-powered planning solutions using Pigment. This is a highly cross-functional role at the intersection of engineering, data, and business problem-solving. You will own the end-to-end implementation of Pigment's AI capabilities for strategic customers - from translating business problems into models, to deploying agentic AI solutions in production. You will play a key role in shaping how organizations leverage Pigment to transform their planning processes, while acting as a critical feedback loop between customers and our Product and Engineering teams. What you'll work on Build & deploy AI-powered solutions Translate complex business problems into scalable Pigment models using AI agents, formulas, dimensions, and advanced logic Design, build, and deploy custom AI agents tailored to customer workflows and decision-making processes Own end-to-end implementation of Pigment for key customers Work directly with customers Partner with business and technical stakeholders to rethink processes and design AI-driven solutions Act as a trusted advisor, guiding customers on best practices Drive adoption and ensure customers maximize value from Pigment Prototype & innovate Develop prototypes and experimental AI use cases to solve emerging customer needs Test and iterate on new approaches to agent-based planning and automation Bridge product, engineering, and customers Collaborate closely with Customer Success, Solutions Architects, and Product teams Translate customer feedback into clear product requirements and specifications Contribute to the evolution of Pigment's AI capabilities Enable and scale Train users and teams on Pigment features, modeling best practices, and scalable system design Help define repeatable patterns and frameworks for AI deployments across customers What we're looking for Required Engineering or computer science degree from top tier institution 2-5 years in a technical, client-facing, or implementation role, such as: Forward Deployed Engineer Data Scientist / AI Engineer Solutions Architect / Solutions Engineer Technical or Implementation Consultant Strong analytical and problem-solving skills with experience in: Data modeling, analytics, or business logic design AI / ML concepts or applied data workflows Proficiency with: Formulas, logic, and structured modeling Programming (Python, SQL, or similar is a plus) Familiarity with: SaaS platforms or planning tools APIs, data pipelines, and system integration concepts Ability to manage multiple stakeholders and projects in fast-paced environments Nice to have Background in FP&A, financial modeling, or business planning workflows Prior experience with Pigment or similar platforms Additional European language(s) outside of English What success looks like Customers successfully deploy and adopt AI-powered planning workflows Innovative agentic AI solutions are built and scaled across use cases You are seen as a trusted technical partner by customers Strong feedback loops drive continuous product improvement Repeatable patterns emerge to scale AI deployments across Pigment customers We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially. Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.

Faculty is seeking a Senior Data Scientist to lead high-impact AI projects, shaping technical directions and fostering client relationships. You'll define data science approaches and mentor junior team members while ensuring delivery excellence across diverse projects. The ideal candidate will have strong programming skills, especially in Python, and a solid understanding of data science paradigms. The role embraces a hybrid work model, allowing flexibility to work remotely or from the London office.

National Geographic is looking for a Senior Data Science Engineer to lead projects in the Trading Intelligence Team. This role involves developing statistical models and collaborating across teams to enhance decision-making through data science. The candidate should have a Bachelor's degree in a relevant field and proven experience in data science, strong machine learning foundations, and proficiency in Python or R. Knowledge of Kubernetes and Kafka is desirable.

Chattermill Analytics Limited is looking for a Senior Data Scientist to join their remote or hybrid team. You'll leverage advanced ML models and work with leading brands like Uber and Amazon to enhance customer experiences through data insights. The ideal candidate has robust experience in transformers, PyTorch, and text data manipulation. Benefits include a flexible work environment, equity options, and generous holiday allowances.

Senior Data Science Engineer - Trading Intelligence Team At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Responsibilities Lead data science projects from conception to deployment, ensuring high quality and timely delivery. Develop and implement statistical models and machine learning algorithms to solve complex business problems. Collaborate with cross functional teams to integrate data science solutions into production systems. Mentor junior data scientists and provide guidance on best practices and methodologies. Communicate technical findings and insights to internal stakeholders to support data driven decision making. Assist with the adoption of data driven strategies into the trading processes. Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives. Qualifications Proven experience in data science, with a strong foundation in machine learning and statistical modeling. Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools. Demonstrated ability to break down complex problems into manageable tasks and deliver high quality results. Excellent problem solving skills and the ability to work collaboratively in a team environment. Experience in developing and implementing automated trading or decision making systems (highly desirable). Experience with Kubernetes and Kafka (desirable). Experience with Databricks (desirable). Experience with experimentation (desirable). A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!